Author: "Acton, Scott" - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Acton, Scott"' showing total 652 results

Start Over Author "Acton, Scott"

652 results on '"Acton, Scott"'

1. Deep Temporal Sequence Classification and Mathematical Modeling for Cell Tracking in Dense 3D Microscopy Videos of Bacterial Biofilms

Author: Toma, Tanjin Taher, Wang, Yibo, Gahlmann, Andreas, and Acton, Scott T.
Subjects: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Machine Learning
Abstract: Automatic cell tracking in dense environments is plagued by inaccurate correspondences and misidentification of parent-offspring relationships. In this paper, we introduce a novel cell tracking algorithm named DenseTrack, which integrates deep learning with mathematical model-based strategies to effectively establish correspondences between consecutive frames and detect cell division events in crowded scenarios. We formulate the cell tracking problem as a deep learning-based temporal sequence classification task followed by solving a constrained one-to-one matching optimization problem exploiting the classifier's confidence scores. Additionally, we present an eigendecomposition-based cell division detection strategy that leverages knowledge of cellular geometry. The performance of the proposed approach has been evaluated by tracking densely packed cells in 3D time-lapse image sequences of bacterial biofilm development. The experimental results on simulated as well as experimental fluorescence image sequences suggest that the proposed tracking method achieves superior performance in terms of both qualitative and quantitative evaluation measures compared to recent state-of-the-art cell tracking approaches.
Published: 2024

2. A Semantic and Motion-Aware Spatiotemporal Transformer Network for Action Detection

Author: Korban, Matthew, Youngs, Peter, and Acton, Scott T.
Subjects: Computer Science - Computer Vision and Pattern Recognition
Abstract: This paper presents a novel spatiotemporal transformer network that introduces several original components to detect actions in untrimmed videos. First, the multi-feature selective semantic attention model calculates the correlations between spatial and motion features to model spatiotemporal interactions between different action semantics properly. Second, the motion-aware network encodes the locations of action semantics in video frames utilizing the motion-aware 2D positional encoding algorithm. Such a motion-aware mechanism memorizes the dynamic spatiotemporal variations in action frames that current methods cannot exploit. Third, the sequence-based temporal attention model captures the heterogeneous temporal dependencies in action frames. In contrast to standard temporal attention used in natural language processing, primarily aimed at finding similarities between linguistic words, the proposed sequence-based temporal attention is designed to determine both the differences and similarities between video frames that jointly define the meaning of actions. The proposed approach outperforms the state-of-the-art solutions on four spatiotemporal action datasets: AVA 2.2, AVA 2.1, UCF101-24, and EPIC-Kitchens., Comment: IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)
Published: 2024
Full Text: View/download PDF

3. SDDPM: Speckle Denoising Diffusion Probabilistic Models

Author: Guha, Soumee and Acton, Scott T.
Subjects: Electrical Engineering and Systems Science - Image and Video Processing
Abstract: Coherent imaging systems, such as medical ultrasound and synthetic aperture radar (SAR), are subject to corruption from speckle due to sub-resolution scatterers. Since speckle is multiplicative in nature, the constituent image regions become corrupted to different extents. The task of denoising such images requires algorithms specifically designed for removing signal-dependent noise. This paper proposes a novel image denoising algorithm for removing signal-dependent multiplicative noise with diffusion models, called Speckle Denoising Diffusion Probabilistic Models (SDDPM). We derive the mathematical formulations for the forward process, the reverse process, and the training objective. In the forward process, we apply multiplicative noise to a given image and prove that the forward process is Gaussian. We show that the reverse process is also Gaussian and the final training objective can be expressed as the Kullback Leibler (KL) divergence between the forward and reverse processes. As derived in the paper, the final denoising task is a single step process, thereby reducing the denoising time significantly. We have trained our model with natural land-use images and ultrasound images for different noise levels. Extensive experiments centered around two different applications show that SDDPM is robust and performs significantly better than the comparative models even when the images are severely corrupted., Comment: 12 pages, 12 figures
Published: 2023

4. A Multi-Modal Transformer Network for Action Detection

Author: Korban, Matthew, Acton, Scott T., and Youngs, Peter
Subjects: Computer Science - Computer Vision and Pattern Recognition
Abstract: This paper proposes a novel multi-modal transformer network for detecting actions in untrimmed videos. To enrich the action features, our transformer network utilizes a new multi-modal attention mechanism that computes the correlations between different spatial and motion modalities combinations. Exploring such correlations for actions has not been attempted previously. To use the motion and spatial modality more effectively, we suggest an algorithm that corrects the motion distortion caused by camera movement. Such motion distortion, common in untrimmed videos, severely reduces the expressive power of motion features such as optical flow fields. Our proposed algorithm outperforms the state-of-the-art methods on two public benchmarks, THUMOS14 and ActivityNet. We also conducted comparative experiments on our new instructional activity dataset, including a large set of challenging classroom videos captured from elementary schools.
Published: 2023

5. TAA-GCN: A Temporally Aware Adaptive Graph Convolutional Network for Age Estimation

Author: Korban, Matthew, Young, Peter, and Acton, Scott T.
Subjects: Computer Science - Computer Vision and Pattern Recognition
Abstract: This paper proposes a novel age estimation algorithm, the Temporally-Aware Adaptive Graph Convolutional Network (TAA-GCN). Using a new representation based on graphs, the TAA-GCN utilizes skeletal, posture, clothing, and facial information to enrich the feature set associated with various ages. Such a novel graph representation has several advantages: First, reduced sensitivity to facial expression and other appearance variances; Second, robustness to partial occlusion and non-frontal-planar viewpoint, which is commonplace in real-world applications such as video surveillance. The TAA-GCN employs two novel components, (1) the Temporal Memory Module (TMM) to compute temporal dependencies in age; (2) Adaptive Graph Convolutional Layer (AGCL) to refine the graphs and accommodate the variance in appearance. The TAA-GCN outperforms the state-of-the-art methods on four public benchmarks, UTKFace, MORPHII, CACD, and FG-NET. Moreover, the TAA-GCN showed reliability in different camera viewpoints and reduced quality images.
Published: 2023

6. The James Webb Space Telescope Mission

Author: Gardner, Jonathan P., Mather, John C., Abbott, Randy, Abell, James S., Abernathy, Mark, Abney, Faith E., Abraham, John G., Abraham, Roberto, Abul-Huda, Yasin M., Acton, Scott, Adams, Cynthia K., Adams, Evan, Adler, David S., Adriaensen, Maarten, Aguilar, Jonathan Albert, Ahmed, Mansoor, Ahmed, Nasif S., Ahmed, Tanjira, Albat, Rüdeger, Albert, Loïc, Alberts, Stacey, Aldridge, David, Allen, Mary Marsha, Allen, Shaune S., Altenburg, Martin, Altunc, Serhat, Alvarez, Jose Lorenzo, Álvarez-Márquez, Javier, de Oliveira, Catarina Alves, Ambrose, Leslie L., Anandakrishnan, Satya M., Andersen, Gregory C., Anderson, Harry James, Anderson, Jay, Anderson, Kristen, Anderson, Sara M., Aprea, Julio, Archer, Benita J., Arenberg, Jonathan W., Argyriou, Ioannis, Arribas, Santiago, Artigau, Étienne, Arvai, Amanda Rose, Atcheson, Paul, Atkinson, Charles B., Averbukh, Jesse, Aymergen, Cagatay, Bacinski, John J., Baggett, Wayne E., Bagnasco, Giorgio, Baker, Lynn L., Balzano, Vicki Ann, Banks, Kimberly A., Baran, David A., Barker, Elizabeth A., Barrett, Larry K., Barringer, Bruce O., Barto, Allison, Bast, William, Baudoz, Pierre, Baum, Stefi, Beatty, Thomas G., Beaulieu, Mathilde, Bechtold, Kathryn, Beck, Tracy, Beddard, Megan M., Beichman, Charles, Bellagama, Larry, Bely, Pierre, Berger, Timothy W., Bergeron, Louis E., Darveau-Bernier, Antoine, Bertch, Maria D., Beskow, Charlotte, Betz, Laura E., Biagetti, Carl P., Birkmann, Stephan, Bjorklund, Kurt F., Blackwood, James D., Blazek, Ronald Paul, Blossfeld, Stephen, Bluth, Marcel, Boccaletti, Anthony, Boegner Jr., Martin E., Bohlin, Ralph C., Boia, John Joseph, Böker, Torsten, Bonaventura, N., Bond, Nicholas A., Bosley, Kari Ann, Boucarut, Rene A., Bouchet, Patrice, Bouwman, Jeroen, Bower, Gary, Bowers, Ariel S., Bowers, Charles W., Boyce, Leslye A., Boyer, Christine T., Boyer, Martha L., Boyer, Michael, Boyer, Robert, Bradley, Larry D., Brady, Gregory R., Brandl, Bernhard R., Brannen, Judith L., Breda, David, Bremmer, Harold G., Brennan, David, Bresnahan, Pamela A., Bright, Stacey N., Broiles, Brian J., Bromenschenkel, Asa, Brooks, Brian H., Brooks, Keira J., Brown, Bob, Brown, Bruce, Brown, Thomas M., Bruce, Barry W., Bryson, Jonathan G., Bujanda, Edwin D., Bullock, Blake M., Bunker, A. J., Bureo, Rafael, Burt, Irving J., Bush, James Aaron, Bushouse, Howard A., Bussman, Marie C., Cabaud, Olivier, Cale, Steven, Calhoon, Charles D., Calvani, Humberto, Canipe, Alicia M., Caputo, Francis M., Cara, Mihai, Carey, Larkin, Case, Michael Eli, Cesari, Thaddeus, Cetorelli, Lee D., Chance, Don R., Chandler, Lynn, Chaney, Dave, Chapman, George N., Charlot, S., Chayer, Pierre, Cheezum, Jeffrey I., Chen, Bin, Chen, Christine H., Cherinka, Brian, Chichester, Sarah C., Chilton, Zachary S., Chittiraibalan, Dharini, Clampin, Mark, Clark, Charles R., Clark, Kerry W., Clark, Stephanie M., Claybrooks, Edward E., Cleveland, Keith A., Cohen, Andrew L., Cohen, Lester M., Colón, Knicole D., Coleman, Benee L., Colina, Luis, Comber, Brian J., Comeau, Thomas M., Comer, Thomas, Reis, Alain Conde, Connolly, Dennis C., Conroy, Kyle E., Contos, Adam R., Contreras, James, Cook, Neil J., Cooper, James L., Cooper, Rachel Aviva, Correia, Michael F., Correnti, Matteo, Cossou, Christophe, Costanza, Brian F., Coulais, Alain, Cox, Colin R., Coyle, Ray T., Cracraft, Misty M., Noriega-Crespo, Alberto, Crew, Keith A., Curtis, Gary J., Cusveller, Bianca, Maciel, Cleyciane Da Costa, Dailey, Christopher T., Daugeron, Frédéric, Davidson, Greg S., Davies, James E., Davis, Katherine Anne, Davis, Michael S., Day, Ratna, de Chambure, Daniel, de Jong, Pauline, De Marchi, Guido, Dean, Bruce H., Decker, John E., Delisa, Amy S., Dell, Lawrence C., Dellagatta, Gail, Dembinska, Franciszka, Demosthenes, Sandor, Dencheva, Nadezhda M., Deneu, Philippe, DePriest, William W., Deschenes, Jeremy, Dethienne, Nathalie, Detre, Örs Hunor, Diaz, Rosa Izela, Dicken, Daniel, DiFelice, Audrey S., Dillman, Matthew, Disharoon, Maureen O., van Dishoeck, Ewine F., Dixon, William V., Doggett, Jesse B., Dominguez, Keisha L., Donaldson, Thomas S., Doria-Warner, Cristina M., Santos, Tony Dos, Doty, Heather, Douglas Jr., Robert E., Doyon, René, Dressler, Alan, Driggers, Jennifer, Driggers, Phillip A., Dunn, Jamie L., DuPrie, Kimberly C., Dupuis, Jean, Durning, John, Dutta, Sanghamitra B., Earl, Nicholas M., Eccleston, Paul, Ecobichon, Pascal, Egami, Eiichi, Ehrenwinkler, Ralf, Eisenhamer, Jonathan D., Eisenhower, Michael, Eisenstein, Daniel J., Hamel, Zaky El, Elie, Michelle L., Elliott, James, Elliott, Kyle Wesley, Engesser, Michael, Espinoza, Néstor, Etienne, Odessa, Etxaluze, Mireya, Evans, Leah, Fabreguettes, Luce, Falcolini, Massimo, Falini, Patrick R., Fatig, Curtis, Feeney, Matthew, Feinberg, Lee D., Fels, Raymond, Ferdous, Nazma, Ferguson, Henry C., Ferrarese, Laura, Ferreira, Marie-Héléne, Ferruit, Pierre, Ferry, Malcolm, Filippazzo, Joseph Charles, Firre, Daniel, Fix, Mees, Flagey, Nicolas, Flanagan, Kathryn A., Fleming, Scott W., Florian, Michael, Flynn, James R., Foiadelli, Luca, Fontaine, Mark R., Fontanella, Erin Marie, Forshay, Peter Randolph, Fortner, Elizabeth A., Fox, Ori D., Framarini, Alexandro P., Francisco, John I., Franck, Randy, Franx, Marijn, Franz, David E., Friedman, Scott D., Friend, Katheryn E., Frost, James R., Fu, Henry, Fullerton, Alexander W., Gaillard, Lionel, Galkin, Sergey, Gallagher, Ben, Galyer, Anthony D., Marín, Macarena García, Gardner, Lisa E., Garland, Dennis, Garrett, Bruce Albert, Gasman, Danny, Gáspár, András, Gastaud, René, Gaudreau, Daniel, Gauthier, Peter Timothy, Geers, Vincent, Geithner, Paul H., Gennaro, Mario, Gerber, John, Gereau, John C., Giampaoli, Robert, Giardino, Giovanna, Gibbons, Paul C., Gilbert, Karolina, Gilman, Larry, Girard, Julien H., Giuliano, Mark E., Gkountis, Konstantinos, Glasse, Alistair, Glassmire, Kirk Zachary, Glauser, Adrian Michael, Glazer, Stuart D., Goldberg, Joshua, Golimowski, David A., Gonzaga, Shireen P., Gordon, Karl D., Gordon, Shawn J., Goudfrooij, Paul, Gough, Michael J., Graham, Adrian J., Grau, Christopher M., Green, Joel David, Greene, Gretchen R., Greene, Thomas P., Greenfield, Perry E., Greenhouse, Matthew A., Greve, Thomas R., Greville, Edgar M., Grimaldi, Stefano, Groe, Frank E., Groebner, Andrew, Grumm, David M., Grundy, Timothy, Güdel, Manuel, Guillard, Pierre, Guldalian, John, Gunn, Christopher A., Gurule, Anthony, Gutman, Irvin Meyer, Guy, Paul D., Guyot, Benjamin, Hack, Warren J., Haderlein, Peter, Hagan, James B., Hagedorn, Andria, Hainline, Kevin, Haley, Craig, Hami, Maryam, Hamilton, Forrest Clifford, Hammann, Jeffrey, Hammel, Heidi B., Hanley, Christopher J., Hansen, Carl August, Hardy, Bruce, Harnisch, Bernd, Harr, Michael Hunter, Harris, Pamela, Hart, Jessica Ann, Hartig, George F., Hasan, Hashima, Hashim, Kathleen Marie, Hashimoto, Ryan, Haskins, Sujee J., Hawkins, Robert Edward, Hayden, Brian, Hayden, William L., Healy, Mike, Hecht, Karen, Heeg, Vince J., Hejal, Reem, Helm, Kristopher A., Hengemihle, Nicholas J., Henning, Thomas, Henry, Alaina, Henry, Ronald L., Henshaw, Katherine, Hernandez, Scarlin, Herrington, Donald C., Heske, Astrid, Hesman, Brigette Emily, Hickey, David L., Hilbert, Bryan N., Hines, Dean C., Hinz, Michael R., Hirsch, Michael, Hitcho, Robert S., Hodapp, Klaus, Hodge, Philip E., Hoffman, Melissa, Holfeltz, Sherie T., Holler, Bryan Jason, Hoppa, Jennifer Rose, Horner, Scott, Howard, Joseph M., Howard, Richard J., Huber, Jean M., Hunkeler, Joseph S., Hunter, Alexander, Hunter, David Gavin, Hurd, Spencer W., Hurst, Brendan J., Hutchings, John B., Hylan, Jason E., Ignat, Luminita Ilinca, Illingworth, Garth, Irish, Sandra M., Isaacs III, John C., Jackson Jr., Wallace C., Jaffe, Daniel T., Jahic, Jasmin, Jahromi, Amir, Jakobsen, Peter, James, Bryan, James, John C., James, LeAndrea Rae, Jamieson, William Brian, Jandra, Raymond D., Jayawardhana, Ray, Jedrzejewski, Robert, Jeffers, Basil S., Jensen, Peter, Joanne, Egges, Johns, Alan T., Johnson, Carl A., Johnson, Eric L., Johnson, Patricia, Johnson, Phillip Stephen, Johnson, Thomas K., Johnson, Timothy W., Johnstone, Doug, Jollet, Delphine, Jones, Danny P., Jones, Gregory S., Jones, Olivia C., Jones, Ronald A., Jones, Vicki, Jordan, Ian J., Jordan, Margaret E., Jue, Reginald, Jurkowski, Mark H., Justis, Grant, Justtanont, Kay, Kaleida, Catherine C., Kalirai, Jason S., Kalmanson, Phillip Cabrales, Kaltenegger, Lisa, Kammerer, Jens, Kan, Samuel K., Kanarek, Graham Childs, Kao, Shaw-Hong, Karakla, Diane M., Karl, Hermann, Kassin, Susan A., Kauffman, David D., Kavanagh, Patrick, Kelley, Leigh L., Kelly, Douglas M., Kendrew, Sarah, Kennedy, Herbert V., Kenny, Deborah A., Keski-Kuha, Ritva A., Keyes, Charles D., Khan, Ali, Kidwell, Richard C., Kimble, Randy A., King, James S., King, Richard C., Kinzel, Wayne M., Kirk, Jeffrey R., Kirkpatrick, Marc E., Klaassen, Pamela, Klingemann, Lana, Klintworth, Paul U., Knapp, Bryan Adam, Knight, Scott, Knollenberg, Perry J., Knutsen, Daniel Mark, Koehler, Robert, Koekemoer, Anton M., Kofler, Earl T., Kontson, Vicki L., Kovacs, Aiden Rose, Kozhurina-Platais, Vera, Krause, Oliver, Kriss, Gerard A., Krist, John, Kristoffersen, Monica R., Krogel, Claudia, Krueger, Anthony P., Kulp, Bernard A., Kumari, Nimisha, Kwan, Sandy W., Kyprianou, Mark, Labador, Aurora Gadiano, Labiano, Álvaro, Lafrenière, David, Lagage, Pierre-Olivier, Laidler, Victoria G., Laine, Benoit, Laird, Simon, Lajoie, Charles-Philippe, Lallo, Matthew D., Lam, May Yen, LaMassa, Stephanie Marie, Lambros, Scott D., Lampenfield, Richard Joseph, Lander, Matthew Ed, Langston, James Hutton, Larson, Kirsten, Larson, Melora, LaVerghetta, Robert Joseph, Law, David R., Lawrence, Jon F., Lee, David W., Lee, Janice, Lee, Yat-Ning Paul, Leisenring, Jarron, Leveille, Michael Dunlap, Levenson, Nancy A., Levi, Joshua S., Levine, Marie B., Lewis, Dan, Lewis, Jake, Lewis, Nikole, Libralato, Mattia, Lidon, Norbert, Liebrecht, Paula Louisa, Lightsey, Paul, Lilly, Simon, Lim, Frederick C., Lim, Pey Lian, Ling, Sai-Kwong, Link, Lisa J., Link, Miranda Nicole, Lipinski, Jamie L., Liu, XiaoLi, Lo, Amy S., Lobmeyer, Lynette, Logue, Ryan M., Long, Chris A., Long, Douglas R., Long, Ilana D., Long, Knox S., López-Caniego, Marcos, Lotz, Jennifer M., Love-Pruitt, Jennifer M., Lubskiy, Michael, Luers, Edward B., Luetgens, Robert A., Luevano, Annetta J., Lui, Sarah Marie G. Flores, Lund III, James M., Lundquist, Ray A., Lunine, Jonathan, Lützgendorf, Nora, Lynch, Richard J., MacDonald, Alex J., MacDonald, Kenneth, Macias, Matthew J., Macklis, Keith I., Maghami, Peiman, Maharaja, Rishabh Y., Maiolino, Roberto, Makrygiannis, Konstantinos G., Malla, Sunita Giri, Malumuth, Eliot M., Manjavacas, Elena, Marini, Andrea, Marrione, Amanda, Marston, Anthony, Martel, André R, Martin, Didier, Martin, Peter G., Martinez, Kristin L., Maschmann, Marc, Masci, Gregory L., Masetti, Margaret E., Maszkiewicz, Michael, Matthews, Gary, Matuskey, Jacob E., McBrayer, Glen A., McCarthy, Donald W., McCaughrean, Mark J., McClare, Leslie A., McClare, Michael D., McCloskey, John C., McClurg, Taylore D., McCoy, Martin, McElwain, Michael W., McGregor, Roy D., McGuffey, Douglas B., McKay, Andrew G., McKenzie, William K., McLean, Brian, McMaster, Matthew, McNeil, Warren, De Meester, Wim, Mehalick, Kimberly L., Meixner, Margaret, Meléndez, Marcio, Menzel, Michael P., Menzel, Michael T., Merz, Matthew, Mesterharm, David D., Meyer, Michael R., Meyett, Michele L., Meza, Luis E., Midwinter, Calvin, Milam, Stefanie N., Miller, Jay Todd, Miller, William C., Miskey, Cherie L., Misselt, Karl, Mitchell, Eileen P., Mohan, Martin, Montoya, Emily E., Moran, Michael J., Morishita, Takahiro, Moro-Martín, Amaya, Morrison, Debra L., Morrison, Jane, Morse, Ernie C., Moschos, Michael, Moseley, S. H., Mosier, Gary E., Mosner, Peter, Mountain, Matt, Muckenthaler, Jason S., Mueller, Donald G., Mueller, Migo, Muhiem, Daniella, Mühlmann, Prisca, Mullally, Susan Elizabeth, Mullen, Stephanie M., Munger, Alan J, Murphy, Jess, Murray, Katherine T., Muzerolle, James C., Mycroft, Matthew, Myers, Andrew, Myers, Carey R., Myers, Fred Richard R., Myers, Richard, Myrick, Kaila, Nagle IV, Adrian F., Nayak, Omnarayani, Naylor, Bret, Neff, Susan G., Nelan, Edmund P., Nella, John, Nguyen, Duy Tuong, Nguyen, Michael N., Nickson, Bryony, Nidhiry, John Joseph, Niedner, Malcolm B., Nieto-Santisteban, Maria, Nikolov, Nikolay K., Nishisaka, Mary Ann, Nota, Antonella, O'Mara, Robyn C., Oboryshko, Michael, O'Brien, Marcus B., Ochs, William R., Offenberg, Joel D., Ogle, Patrick Michael, Ohl, Raymond G., Olmsted, Joseph Hamden, Osborne, Shannon Barbara, O'Shaughnessy, Brian Patrick, Östlin, Göran, O'Sullivan, Brian, Otor, O. Justin, Ottens, Richard, Ouellette, Nathalie N. -Q., Outlaw, Daria J., Owens, Beverly A., Pacifici, Camilla, Page, James Christophe, Paranilam, James G., Park, Sang, Parrish, Keith A., Paschal, Laura, Patapis, Polychronis, Patel, Jignasha, Patrick, Keith, Pattishall Jr., Robert A., Paul, Douglas William, Paul, Shirley J., Pauly, Tyler Andrew, Pavlovsky, Cheryl M., Peña-Guerrero, Maria, Pedder, Andrew H., Peek, Matthew Weldon, Pelham, Patricia A., Penanen, Konstantin, Perriello, Beth A., Perrin, Marshall D., Perrine, Richard F., Perrygo, Chuck, Peslier, Muriel, Petach, Michael, Peterson, Karla A., Pfarr, Tom, Pierson, James M., Pietraszkiewicz, Martin, Pilchen, Guy, Pipher, Judy L., Pirzkal, Norbert, Pitman, Joseph T., Player, Danielle M., Plesha, Rachel, Plitzke, Anja, Pohner, John A., Poletis, Karyn Konstantin, Pollizzi, Joseph A., Polster, Ethan, Pontius, James T., Pontoppidan, Klaus, Porges, Susana C., Potter, Gregg D., Prescott, Stephen, Proffitt, Charles R., Pueyo, Laurent, Neira, Irma Aracely Quispe, Radich, Armando, Rager, Reiko T., Rameau, Julien, Ramey, Deborah D., Alarcon, Rafael Ramos, Rampini, Riccardo, Rapp, Robert, Rashford, Robert A., Rauscher, Bernard J., Ravindranath, Swara, Rawle, Timothy, Rawlings, Tynika N., Ray, Tom, Regan, Michael W., Rehm, Brian, Rehm, Kenneth D., Reid, Neill, Reis, Carl A., Renk, Florian, Reoch, Tom B., Ressler, Michael, Rest, Armin W., Reynolds, Paul J., Richon, Joel G., Richon, Karen V., Ridgaway, Michael, Riedel, Adric Richard, Rieke, George H., Rieke, Marcia, Rifelli, Richard E., Rigby, Jane R., Riggs, Catherine S., Ringel, Nancy J., Ritchie, Christine E., Rix, Hans-Walter, Robberto, Massimo, Robinson, Michael S., Robinson, Orion, Rock, Frank W., Rodriguez, David R., del Pino, Bruno Rodríguez, Roellig, Thomas, Rohrbach, Scott O., Roman, Anthony J., Romelfanger, Frederick J., Romo Jr., Felipe P., Rosales, Jose J., Rose, Perry, Roteliuk, Anthony F., Roth, Marc N., Rothwell, Braden Quinn, Rouzaud, Sylvain, Rowe, Jason, Rowlands, Neil, Roy, Arpita, Royer, Pierre, Rui, Chunlei, Rumler, Peter, Rumpl, William, Russ, Melissa L., Ryan, Michael B., Ryan, Richard M., Saad, Karl, Sabata, Modhumita, Sabatino, Rick, Sabbi, Elena, Sabelhaus, Phillip A., Sabia, Stephen, Sahu, Kailash C., Saif, Babak N., Salvignol, Jean-Christophe, Samara-Ratna, Piyal, Samuelson, Bridget S., Sanders, Felicia A., Sappington, Bradley, Sargent, B. A., Sauer, Arne, Savadkin, Bruce J., Sawicki, Marcin, Schappell, Tina M., Scheffer, Caroline, Scheithauer, Silvia, Scherer, Ron, Schiff, Conrad, Schlawin, Everett, Schmeitzky, Olivier, Schmitz, Tyler S., Schmude, Donald J., Schneider, Analyn, Schreiber, Jürgen, Schroeven-Deceuninck, Hilde, Schultz, John J., Schwab, Ryan, Schwartz, Curtis H., Scoccimarro, Dario, Scott, John F., Scott, Michelle B., Seaton, Bonita L., Seely, Bruce S., Seery, Bernard, Seidleck, Mark, Sembach, Kenneth, Shanahan, Clare Elizabeth, Shaughnessy, Bryan, Shaw, Richard A., Shay, Christopher Michael, Sheehan, Even, Sheth, Kartik, Shih, Hsin-Yi, Shivaei, Irene, Siegel, Noah, Sienkiewicz, Matthew G., Simmons, Debra D., Simon, Bernard P., Sirianni, Marco, Sivaramakrishnan, Anand, Slade, Jeffrey E., Sloan, G. C., Slocum, Christine E., Slowinski, Steven E., Smith, Corbett T., Smith, Eric P., Smith, Erin C., Smith, Koby, Smith, Robert, Smith, Stephanie J., Smolik, John L., Soderblom, David R., Sohn, Sangmo Tony, Sokol, Jeff, Sonneborn, George, Sontag, Christopher D., Sooy, Peter R., Soummer, Remi, Southwood, Dana M., Spain, Kay, Sparmo, Joseph, Speer, David T., Spencer, Richard, Sprofera, Joseph D., Stallcup, Scott S., Stanley, Marcia K., Stansberry, John A., Stark, Christopher C., Starr, Carl W., Stassi, Diane Y., Steck, Jane A., Steeley, Christine D., Stephens, Matthew A., Stephenson, Ralph J., Stewart, Alphonso C., Stiavelli, Massimo, Stockman Jr., Hervey, Strada, Paolo, Straughn, Amber N., Streetman, Scott, Strickland, David Kendal, Strobele, Jingping F., Stuhlinger, Martin, Stys, Jeffrey Edward, Such, Miguel, Sukhatme, Kalyani, Sullivan, Joseph F., Sullivan, Pamela C., Sumner, Sandra M., Sun, Fengwu, Sunnquist, Benjamin Dale, Swade, Daryl Allen, Swam, Michael S., Swenton, Diane F., Swoish, Robby A., Litten, Oi In Tam, Tamas, Laszlo, Tao, Andrew, Taylor, David K., Taylor, Joanna M., Plate, Maurice te, Van Tea, Mason, Teague, Kelly K., Telfer, Randal C., Temim, Tea, Texter, Scott C., Thatte, Deepashri G., Thompson, Christopher Lee, Thompson, Linda M., Thomson, Shaun R., Thronson, Harley, Tierney, C. M., Tikkanen, Tuomo, Tinnin, Lee, Tippet, William Thomas, Todd, Connor William, Tran, Hien D., Trauger, John, Trejo, Edwin Gregorio, Truong, Justin Hoang Vinh, Tsukamoto, Christine L., Tufail, Yasir, Tumlinson, Jason, Tustain, Samuel, Tyra, Harrison, Ubeda, Leonardo, Underwood, Kelli, Uzzo, Michael A., Vaclavik, Steven, Valenduc, Frida, Valenti, Jeff A., Van Campen, Julie, van de Wetering, Inge, Van Der Marel, Roeland P., van Haarlem, Remy, Vandenbussche, Bart, Vanterpool, Dona D., Vernoy, Michael R., Costas, Maria Begoña Vila, Volk, Kevin, Voorzaat, Piet, Voyton, Mark F., Vydra, Ekaterina, Waddy, Darryl J., Waelkens, Christoffel, Wahlgren, Glenn Michael, Walker Jr., Frederick E., Wander, Michel, Warfield, Christine K., Warner, Gerald, Wasiak, Francis C., Wasiak, Matthew F., Wehner, James, Weiler, Kevin R., Weilert, Mark, Weiss, Stanley B., Wells, Martyn, Welty, Alan D., Wheate, Lauren, Wheeler, Thomas P., White, Christy L., Whitehouse, Paul, Whiteleather, Jennifer Margaret, Whitman, William Russell, Williams, Christina C., Willmer, Christopher N. A., Willott, Chris J., Willoughby, Scott P., Wilson, Andrew, Wilson, Debra, Wilson, Donna V., Windhorst, Rogier, Wislowski, Emily Christine, Wolfe, David J., Wolfe, Michael A., Wolff, Schuyler, Wondel, Amancio, Woo, Cindy, Woods, Robert T., Worden, Elaine, Workman, William, Wright, Gillian S., Wu, Carl, Wu, Chi-Rai, Wun, Dakin D., Wymer, Kristen B., Yadetie, Thomas, Yan, Isabelle C., Yang, Keith C., Yates, Kayla L., Yeager, Christopher R., Yerger, Ethan John, Young, Erick T., Young, Gary, Yu, Gene, Yu, Susan, Zak, Dean S., Zeidler, Peter, Zepp, Robert, Zhou, Julia, Zincke, Christian A., Zonak, Stephanie, and Zondag, Elisabeth
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: Twenty-six years ago a small committee report, building on earlier studies, expounded a compelling and poetic vision for the future of astronomy, calling for an infrared-optimized space telescope with an aperture of at least $4m$. With the support of their governments in the US, Europe, and Canada, 20,000 people realized that vision as the $6.5m$ James Webb Space Telescope. A generation of astronomers will celebrate their accomplishments for the life of the mission, potentially as long as 20 years, and beyond. This report and the scientific discoveries that follow are extended thank-you notes to the 20,000 team members. The telescope is working perfectly, with much better image quality than expected. In this and accompanying papers, we give a brief history, describe the observatory, outline its objectives and current observing program, and discuss the inventions and people who made it possible. We cite detailed reports on the design and the measured performance on orbit., Comment: Accepted by PASP for the special issue on The James Webb Space Telescope Overview, 29 pages, 4 figures
Published: 2023
Full Text: View/download PDF

7. Automatic classification of activities in classroom videos

Author: Foster, Jonathan K., Korban, Matthew, Youngs, Peter, Watson, Ginger S., and Acton, Scott T.
Published: 2024
Full Text: View/download PDF

8. DeepSeeded: Volumetric segmentation of dense cell populations with a cascade of deep neural networks in bacterial biofilm applications

Author: Toma, Tanjin Taher, Wang, Yibo, Gahlmann, Andreas, and Acton, Scott T.
Published: 2024
Full Text: View/download PDF

9. An Efficient Convolutional Neural Network for Coronary Heart Disease Prediction

Author: Dutta, Aniruddha, Batabyal, Tamal, Basu, Meheli, and Acton, Scott T.
Subjects: Quantitative Biology - Quantitative Methods, Computer Science - Machine Learning, Physics - Medical Physics
Abstract: This study proposes an efficient neural network with convolutional layers to classify significantly class-imbalanced clinical data. The data are curated from the National Health and Nutritional Examination Survey (NHANES) with the goal of predicting the occurrence of Coronary Heart Disease (CHD). While the majority of the existing machine learning models that have been used on this class of data are vulnerable to class imbalance even after the adjustment of class-specific weights, our simple two-layer CNN exhibits resilience to the imbalance with fair harmony in class-specific performance. In order to obtain significant improvement in classification accuracy under supervised learning settings, it is a common practice to train a neural network architecture with a massive data and thereafter, test the resulting network on a comparatively smaller amount of data. However, given a highly imbalanced dataset, it is often challenging to achieve a high class 1 (true CHD prediction rate) accuracy as the testing data size increases. We adopt a two-step approach: first, we employ least absolute shrinkage and selection operator (LASSO) based feature weight assessment followed by majority-voting based identification of important features. Next, the important features are homogenized by using a fully connected layer, a crucial step before passing the output of the layer to successive convolutional stages. We also propose a training routine per epoch, akin to a simulated annealing process, to boost the classification accuracy. Despite a 35:1 (Non-CHD:CHD) ratio in the NHANES dataset, the investigation confirms that our proposed CNN architecture has the classification power of 77% to correctly classify the presence of CHD and 81.8% the absence of CHD cases on a testing data, which is 85.70% of the total dataset. ( (<1920 characters)Please check the paper for full abstract), Comment: Accepted in Expert Systems with Applications
Published: 2019

10. GlidarCo: gait recognition by 3D skeleton estimation and biometric feature correction of flash lidar data

Author: Sadeghzadehyazdi, Nasrin, Batabyal, Tamal, Dhar, Nibir K., Familoni, B. O., Iftekharuddin, K. M., and Acton, Scott T.
Subjects: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract: Gait recognition using noninvasively acquired data has been attracting an increasing interest in the last decade. Among various modalities of data sources, it is experimentally found that the data involving skeletal representation are amenable for reliable feature compaction and fast processing. Model-based gait recognition methods that exploit features from a fitted model, like skeleton, are recognized for their view and scale-invariant properties. We propose a model-based gait recognition method, using sequences recorded by a single flash lidar. Existing state-of-the-art model-based approaches that exploit features from high quality skeletal data collected by Kinect and Mocap are limited to controlled laboratory environments. The performance of conventional research efforts is negatively affected by poor data quality. We address the problem of gait recognition under challenging scenarios, such as lower quality and noisy imaging process of lidar, that degrades the performance of state-of-the-art skeleton-based systems. We present GlidarCo to attain high accuracy on gait recognition under the described conditions. A filtering mechanism corrects faulty skeleton joint measurements, and robust statistics are integrated to conventional feature moments to encode the dynamic of the motion. As a comparison, length-based and vector-based features extracted from the noisy skeletons are investigated for outlier removal. Experimental results illustrate the efficacy of the proposed methodology in improving gait recognition given noisy low resolution lidar data.
Published: 2019

11. Glidar3DJ: A View-Invariant gait identification via flash lidar data correction

Author: Sadeghzadehyazdi, Nasrin, Batabyal, Tamal, Glandon, A., Dhar, Nibir K., Familoni, B. O., Iftekharuddin, K. M., and Acton, Scott T.
Subjects: Electrical Engineering and Systems Science - Image and Video Processing
Abstract: Gait recognition is a leading remote-based identification method, suitable for real-world surveillance and medical applications. Model-based gait recognition methods have been particularly recognized due to their scale and view-invariant properties. We present the first model-based gait recognition methodology, $\mathcal{G}$lidar3DJ using a skeleton model extracted from sequences generated by a single flash lidar camera. Existing successful model-based approaches take advantage of high quality skeleton data collected by Kinect and Mocap, for example, are not practicable for applications outside the laboratory. The low resolution and noisy imaging process of lidar negatively affects the performance of state-of-the-art skeleton-based systems, generating a significant number of outlier skeletons. We propose a rule-based filtering mechanism that adopts robust statistics to correct for skeleton joint measurements. Quantitative measurements validate the efficacy of the proposed method in improving gait recognition., Comment: This paper is accepted to be published in: 2019 IEEE International Conference on Image Processing, Sept 22-25, 2019, Taipei, Taiwan
Published: 2019

12. Hieroglyph: Hierarchical Glia Graph Skeletonization and Matching

Author: Ly, Tiffany T., Batabyal, Tamal, Thompson, Jeremy, Harris, Tajie, Weller, Daniel S., and Acton, Scott T.
Subjects: Electrical Engineering and Systems Science - Image and Video Processing
Abstract: Automatic 3D reconstruction of glia morphology is a powerful tool necessary for investigating the role of microglia in neurological disorders in the central nervous system. Current glia skeleton reconstruction techniques fail to capture an accurate tracing of the processes over time, useful for the study of the microglia motility and morphology in the brain during healthy and diseased states. We propose Hieroglyph, a fully automatic temporal 3D skeleton reconstruction algorithm for glia imaged via 3D multiphoton microscopy. Hieroglyph yielded a 21% performance increase compared to state of the art automatic skeleton reconstruction methods and outperforms the state of the art in different measures of consistency on datasets of 3D images of microglia. The results from this method provide a 3D graph and digital reconstruction of glia useful for a myriad of morphological analyses that could impact studies in brain immunology and disease., Comment: submitted to IEEE International Conference on Image Processing, 2019
Published: 2019

13. NeuroPath2Path: Classification and elastic morphing between neuronal arbors using path-wise similarity

Author: Batabyal, Tamal, Condron, Barry, and Acton, Scott T.
Subjects: Quantitative Biology - Neurons and Cognition
Abstract: The shape and connectivity of a neuron determine its function. Modern imaging methods have proven successful at extracting such information. However, in order to analyze this type of data, neuronal morphology needs to be encoded in a graph-theoretic method. This encoding enables the use of high throughput informatic methods to extract and infer brain function. The application of graph-theoretic methods to neuronal morphological representation comes with certain difficulties. Here we report a novel, effective method to accomplish this task. The morphology of a neuron, which consists of its overall size, global shape, local branch patterns, and cell-specific biophysical properties, can vary significantly with the cell's identity, location, as well as developmental and physiological state. Various algorithms have been developed to customize shape based statistical and graph related features for quantitative analysis of neuromorphology, followed by the classification of neuron cell types using the features. Unlike the classical feature extraction based methods from imaged or 3D reconstructed neurons, we propose a model based on the rooted path decomposition from the soma to the dendrites of a neuron and extract morphological features on each path. We hypothesize that measuring the distance between two neurons can be realized by minimizing the cost of continuously morphing the set of all rooted paths of one neuron to another. To validate this claim, we first establish the correspondence of paths between two neurons using a modified Munkres algorithm. Next, an elastic deformation framework that employs the square root velocity function is established to perform the continuous morphing, which, in addition, provides an effective visualization tool. We experimentally show the efficacy of NeuroPath2Path, NeuroP2P, over the state of the art., Comment: Submitted to Neuroinformatics
Published: 2019

14. Segmentation of Cortical Spreading Depression Wavefronts Through Local Similarity Metric

Author: Sluzewski, M. Filip, Tvrdik, Petr, and Acton, Scott T.
Subjects: Electrical Engineering and Systems Science - Image and Video Processing
Abstract: In this paper, we present a novel region-based segmentation method for cortical spreading depressions in 2-photon microscopy images. Fluorescent microscopy has become an important tool in neuroscience, but segmentation approaches are challenged by the opaque properties and structures of brain tissue. These challenges are made more extreme when segmenting events such as cortical spreading depressions, where low signal-to-noise ratios and intensity inhomogeneity dominate images. The method we propose uses a local intensity similarity measure that takes advantage of normalized Euclidean and geodesic distance maps of the image. This method provides a smooth segmentation boundary which is robust to the noise and inhomogeneity within cortical spreading depression images. Experimental results yielded a DICE index of 0.9859, an increase of 6% over the current state-of-the-art, and a reduction of root mean square error by 79.9%.
Published: 2019

15. LCuts: Linear Clustering of Bacteria using Recursive Graph Cuts

Author: Wang, Jie, Batabyal, Tamal, Zhang, Mingxing, Zhang, Ji, Aziz, Arslan, Gahlmann, Andreas, and Acton, Scott T.
Subjects: Electrical Engineering and Systems Science - Image and Video Processing
Abstract: Bacterial biofilm segmentation poses significant challenges due to lack of apparent structure, poor imaging resolution, limited contrast between conterminous cells and high density of cells that overlap. Although there exist bacterial segmentation algorithms in the existing art, they fail to delineate cells in dense biofilms, especially in 3D imaging scenarios in which the cells are growing and subdividing in a complex manner. A graph-based data clustering method, LCuts, is presented with the application on bacterial cell segmentation. By constructing a weighted graph with node features in locations and principal orientations, the proposed method can automatically classify and detect differently oriented aggregations of linear structures (represent by bacteria in the application). The method assists in the assessment of several facets, such as bacterium tracking, cluster growth, and mapping of migration patterns of bacterial biofilms. Quantitative and qualitative measures for 2D data demonstrate the superiority of proposed method over the state of the art. Preliminary 3D results exhibit reliable classification of the cells with 97% accuracy., Comment: v1: Submitted to IEEE International Conference on Image Processing (ICIP) 2019; v2: Minor edits, updated reference and co-authors; v3: Accepted to be published in 2019 IEEE International Conference on Image Processing, Sep 22-25, 2019, Taipei. IEEE Copyright notice added. Minor changes for camera-ready version. (updated May. 6, 2019)
Published: 2019

16. PrecoG: an efficient unitary split preconditioner for the transform-domain LMS filter via graph Laplacian regularization

Author: Batabyal, Tamal, Weller, Daniel S., Kapur, Jaideep, and Acton, Scott T.
Subjects: Electrical Engineering and Systems Science - Signal Processing
Abstract: Transform-domain least mean squares (LMS) adaptive filters encompass the class of algorithms where the input data are subjected to a data-independent unitary transform followed by a power normalization stage as preprocessing steps. Because conventional transformations are not data-dependent, this preconditioning procedure was shown theoretically to improve the convergence of the LMS filter only for certain classes of input data. However, in reality if the class of input data is not known beforehand, it is difficult to decide which transformation to use. Thus, there is a need to devise a learning framework to obtain such a preconditioning transformation using input data prior to applying on the input data. It is hypothesized that the underlying topology of the data affects the selection of the transformation. With the input modeled as a weighted graph that mimics neuronal interactions, PrecoG obtains the desired transform by recursive estimation of the graph Laplacian matrix. Additionally, we show the efficacy of the transform as a generalized split preconditioner on a linear system of equations and in Hebb-LMS settings. In terms of the improvement of the condition number after applying the transformation, PrecoG performs significantly better than the existing state-of-the-art techniques that involve unitary and non-unitary transforms., Comment: Preprint, in submission
Published: 2018

17. SITUP: Scale Invariant Tracking using Average Peak-to-Correlation Energy

Author: Ma, Haoyi, Acton, Scott T., and Lin, Zongli
Subjects: Electrical Engineering and Systems Science - Image and Video Processing
Abstract: Robust and accurate scale estimation of a target object is a challenging task in visual object tracking. Most existing tracking methods cannot accommodate large scale variation in complex image sequences and thus result in inferior performance. In this paper, we propose to incorporate a novel criterion called the average peak-to-correlation energy into the multiresolution translation filter framework to obtain robust and accurate scale estimation. The resulting system is named SITUP: Scale Invariant Tracking using Average Peak-to-Correlation Energy. SITUP effectively tackles the problem of fixed template size in standard discriminative correlation filter based trackers. Extensive empirical evaluation on the publicly available tracking benchmark datasets demonstrates that the proposed scale searching framework meets the demands of scale variation challenges effectively while providing superior performance over other scale adaptive variants of standard discriminative correlation filter based trackers. Also, SITUP obtains favorable performance compared to state-of-the-art trackers for various scenarios while operating in real-time on a single CPU., Comment: This work has been submitted to the IEEE for possible publication
Published: 2018

18. ElasticPath2Path: Automated morphological classification of neurons by elastic path matching

Author: Batabyal, Tamal and Acton, Scott T.
Subjects: Electrical Engineering and Systems Science - Image and Video Processing, Quantitative Biology - Neurons and Cognition
Abstract: In the study of neurons, morphology influences function. The complexity in the structure of neurons poses a challenge in the identification and analysis of similar and dissimilar neuronal cells. Existing methodologies carry out structural and geometrical simplifications, which substantially change the morphological statistics. Using digitally-reconstructed neurons, we extend the work of Path2Path as ElasticPath2Path, which seamlessly integrates the graph-theoretic and differential-geometric frameworks. By decomposing a neuron into a set of paths, we derive graph metrics, which are path concurrence and path hierarchy. Next, we model each path as an elastic string to compute the geodesic distance between the paths of a pair of neurons. Later, we formulate the problem of finding the distance between two neurons as a path assignment problem with a cost function combining the graph metrics and the geodesic deformation of paths. ElasticPath2Path is shown to have superior performance over the state of the art., Comment: This paper is submitted to IEEE International Conference on Image Processing, 2018
Published: 2018

19. OSLO: Automatic Cell Counting and Segmentation for Oligodendrocyte Progenitor Cells

Author: Ma, Haoyi, Beiter, Rebecca, Gaultier, Alban, Acton, Scott T., and Lin, Zongli
Subjects: Electrical Engineering and Systems Science - Image and Video Processing
Abstract: Reliable cell counting and segmentation of oligodendrocyte progenitor cells (OPCs) are critical image analysis steps that could potentially unlock mysteries regarding OPC function during pathology. We propose a saliency-based method to detect OPCs and use a marker-controlled watershed algorithm to segment the OPCs. This method first implements frequency-tuned saliency detection on separate channels to obtain regions of cell candidates. Final detection results and internal markers can be computed by combining information from separate saliency maps. An optimal saliency level for OPCs (OSLO) is highlighted in this work. Here, watershed segmentation is performed efficiently with effective internal markers. Experiments show that our method outperforms existing methods in terms of accuracy., Comment: v1: Submitted to ICIP 2018; v2: Accepted to be published in 2018 IEEE International Conference on Image Processing, Oct 7-10, 2018, Athens, Greece. IEEE Copyright notice added. Minor changes for camera-ready version
Published: 2018

20. Nonlinear Shape Regression For Filtering Segmentation Results From Calcium Imaging

Author: Wang, Jie, Fu, Zhongxiao, Sadeghzadehyazdi, Nasrin, Kipnis, Jonathan, and Acton, Scott T.
Subjects: Electrical Engineering and Systems Science - Image and Video Processing
Abstract: A shape filter is presented to repair segmentation results obtained in calcium imaging of neurons in vivo. This post-segmentation algorithm can automatically smooth the shapes obtained from a preliminary segmentation, while precluding the cases where two neurons are counted as one combined component. The shape filter is realized using a square-root velocity to project the shapes on a shape manifold in which distances between shapes are based on elastic changes. Two data-driven weighting methods are proposed to achieve a trade-off between shape smoothness and consistency with the data. Intuitive comparisons of proposed methods via projection onto Cartesian maps demonstrate the smoothing ability of the shape filter. Quantitative measures also prove the superiority of our methods over models that do not employ any weighting criterion., Comment: v1: Submitted as a conference contribution to ICIP 2018 (pre-print version Feb. 14, 2018); v2: Accepted to be published in 2018 IEEE International Conference on Image Processing, Oct 7-10, 2018, Athens, Greece. IEEE Copyright notice added. Minor changes for camera-ready version (updated Jun. 1, 2018)
Published: 2018

21. The Coupled TuFF-BFF Algorithm for Automatic 3D Segmentation of Microglia

Author: Ly, Tiffany, Thompson, Jeremy, Harris, Tajie, and Acton, Scott T.
Subjects: Electrical Engineering and Systems Science - Image and Video Processing
Abstract: We propose an automatic 3D segmentation algorithm for multiphoton microscopy images of microglia. Our method is capable of segmenting tubular and blob-like structures from noisy images. Current segmentation techniques and software fail to capture the fine processes and soma of the microglia cells, useful for the study of the microglia role in the brain during healthy and diseased states. Our coupled tubularity flow field (TuFF)-blob flow field (BFF) method evolves a level set toward the object boundary using the directional tubularity and blobness measure of 3D images. Our method found a 20% performance increase against state of the art segmentation methods on a dataset of 3D images of microglia even in images with intensity heterogeneity throughout the object. The coupled TuFF-BFF segmentation results also yielded 40% improvement in accuracy for the ramification index of the processes, which displays the efficacy of our method., Comment: submitted as a conference contribution to International Conference on Image Processing 2018
Published: 2018

22. MRI analysis to map interstitial flow in the brain tumor microenvironment

Author: Kingsmore, Kathryn M, Vaccari, Andrea, Abler, Daniel, Cui, Sophia X, Epstein, Frederick H, Rockne, Russell C, Acton, Scott T, and Munson, Jennifer M
Subjects: Engineering, Biomedical Engineering, Neurosciences, Brain Cancer, Brain Disorders, Rare Diseases, Cancer, Biomedical Imaging, Bioengineering, Biomedical engineering
Abstract: Glioblastoma (GBM), a highly aggressive form of brain tumor, is a disease marked by extensive invasion into the surrounding brain. Interstitial fluid flow (IFF), or the movement of fluid within the spaces between cells, has been linked to increased invasion of GBM cells. Better characterization of IFF could elucidate underlying mechanisms driving this invasion in vivo. Here, we develop a technique to noninvasively measure interstitial flow velocities in the glioma microenvironment of mice using dynamic contrast-enhanced magnetic resonance imaging (MRI), a common clinical technique. Using our in vitro model as a phantom "tumor" system and in silico models of velocity vector fields, we show we can measure average velocities and accurately reconstruct velocity directions. With our combined MR and analysis method, we show that velocity magnitudes are similar across four human GBM cell line xenograft models and the direction of fluid flow is heterogeneous within and around the tumors, and not always in the outward direction. These values were not linked to the tumor size. Finally, we compare our flow velocity magnitudes and the direction of flow to a classical marker of vessel leakage and bulk fluid drainage, Evans blue. With these data, we validate its use as a marker of high and low IFF rates and IFF in the outward direction from the tumor border in implanted glioma models. These methods show, for the first time, the nature of interstitial fluid flow in models of glioma using a technique that is translatable to clinical and preclinical models currently using contrast-enhanced MRI.
Published: 2018

23. BCM3D 2.0: accurate segmentation of single bacterial cells in dense biofilms using computationally generated intermediate image representations

Author: Zhang, Ji, Wang, Yibo, Donarski, Eric D., Toma, Tanjin T., Miles, Madeline T., Acton, Scott T., and Gahlmann, Andreas
Published: 2022
Full Text: View/download PDF

24. Modeling spatiotemporal patterns of gait anomaly with a CNN-LSTM deep neural network

Author: Sadeghzadehyazdi, Nasrin, Batabyal, Tamal, and Acton, Scott T.
Published: 2021
Full Text: View/download PDF

25. An efficient convolutional neural network for coronary heart disease prediction

Author: Dutta, Aniruddha, Batabyal, Tamal, Basu, Meheli, and Acton, Scott T.
Published: 2020
Full Text: View/download PDF

26. Instructional Activity Recognition Using A Transformer Network with Multi-Semantic Attention

Author: Korban, Matthew, primary, Acton, Scott T., additional, Youngs, Peter, additional, and Foster, Jonathan, additional
Published: 2024
Full Text: View/download PDF

27. NeuroPath2Path: Classification and elastic morphing between neuronal arbors using path-wise similarity

Author: Batabyal, Tamal, Condron, Barry, and Acton, Scott T.
Published: 2020
Full Text: View/download PDF

28. A Semantic and Motion-Aware Spatiotemporal Transformer Network for Action Detection

Author: Korban, Matthew, primary, Youngs, Peter, additional, and Acton, Scott T., additional
Published: 2024
Full Text: View/download PDF

29. Speckle removal and change preservation by distance-driven anisotropic diffusion of synthetic aperture radar temporal stacks

Author: Tabassum, Nazia, Vaccari, Andrea, and Acton, Scott
Published: 2018
Full Text: View/download PDF

30. Universality in the merging dynamics of parametric active contours: a study in MRI-based lung segmentation

Author: Chattopadhyay, Amit K., Ray, Nilanjan, and Acton, Scott T.
Subjects: Condensed Matter - Soft Condensed Matter, Condensed Matter - Statistical Mechanics, Quantitative Biology - Other Quantitative Biology
Abstract: Measurement of lung ventilation is one of the most reliable techniques of diagnosing pulmonary diseases. The time consuming and bias prone traditional methods using hyperpolarized H${}^{3}$He and ${}^{1}$H magnetic resonance imageries have recently been improved by an automated technique based on multiple active contour evolution. Mapping results from an equivalent thermodynamic model, here we analyse the fundamental dynamics orchestrating the active contour (AC) method. We show that the numerical method is inherently connected to the universal scaling behavior of a classical nucleation-like dynamics. The favorable comparison of the exponent values with the theoretical model render further credentials to our claim., Comment: 4 pages, 4 figures
Published: 2003
Full Text: View/download PDF

31. Keck adaptive optics observations of TW Hydrae Association members

Author: Macintosh, Bruce, Max, Claire, Zuckerman, Ben, Becklin, Eric E., Kaisler, Denise, Lowrance, Patrick, Weinberger, Alycia, Christou, Julian, Schneider, Glenn, and Acton, Scott
Subjects: Astrophysics
Abstract: Adaptive optics (AO) on 8-10 m telescopes is an enormously powerful tool for studying young nearby stars. It is especially useful for searching for companions. Using AO on the 10-m W.M. Keck II telescope we have measured the position of the brown dwarf companion to TWA5 and resolved the primary into an 0.055 arcsecond double. Over the next several years follow-up astrometry should permit an accurate determination of the masses of these young stars. We have also re-observed the candidate extrasolar planet TWA6B, but measurements of its motion relative to TWA6A are inconclusive. We are carrying out a search for new planetary or brown dwarf companions to TWA stars and, if current giant planet models are correct, are currently capable of detecting a 1 Jupiter-mass companion at ~1 arcsecond and a 5 Jupiter-mass companion at ~0.5 arcsecon around a typical TWA member., Comment: 6 pages, 4 inline eps figues. To appear in "Young Stars Near Earth: Progress and Prospects", ASP conference series, R. Jayawardhana and T. Green eds. uses pasp style file "newpasp.sty" (included)
Published: 2001

32. An Adaptive and Interpretable Framework for Biomedical Image Analysis

Author: Singh, Samarth, primary, Acton, Scott T., additional, Moosa, Shayan, additional, and Sheybani, Natasha D., additional
Published: 2023
Full Text: View/download PDF

33. DeepSeeded: Volumetric segmentation of dense cell populations with a cascade of deep neural networks in bacterial biofilm applications

Author: Toma, Tanjin Taher, primary, Wang, Yibo, additional, Gahlmann, Andreas, additional, and Acton, Scott T., additional
Published: 2023
Full Text: View/download PDF

34. A Multi-Modal Transformer network for action detection

Author: Korban, Matthew, primary, Youngs, Peter, additional, and Acton, Scott T., additional
Published: 2023
Full Text: View/download PDF

35. Non-invasive single-cell morphometry in living bacterial biofilms

Author: Zhang, Mingxing, Zhang, Ji, Wang, Yibo, Wang, Jie, Achimovich, Alecia M., Acton, Scott T., and Gahlmann, Andreas
Published: 2020
Full Text: View/download PDF

36. Microglial Calcium Waves During the Hyperacute Phase of Ischemic Stroke

Author: Liu, Lei, Kearns, Kathryn N., Eli, Ilyas, Sharifi, Khadijeh A., Soldozy, Sauson, Carlson, Elizabeth W., Scott, Kyle W., Sluzewski, M. Filip, Acton, Scott T., Stauderman, Kenneth A., Kalani, M. Yashar S., Park, Min, and Tvrdik, Petr
Published: 2021
Full Text: View/download PDF

37. Functional aspects of meningeal lymphatics in ageing and Alzheimer’s disease

Author: Da Mesquita, Sandro, Louveau, Antoine, Vaccari, Andrea, Smirnov, Igor, Cornelison, R. Chase, Kingsmore, Kathryn M., Contarino, Christian, Onengut-Gumuscu, Suna, Farber, Emily, Raper, Daniel, Viar, Kenneth E., Powell, Romie D., Baker, Wendy, Dabhi, Nisha, Bai, Robin, Cao, Rui, Hu, Song, Rich, Stephen S., Munson, Jennifer M., Lopes, M. Beatriz, Overall, Christopher C., Acton, Scott T., and Kipnis, Jonathan
Published: 2018
Full Text: View/download PDF

38. Diffusionnet: An Efficient Framework to Classify Single-Molecule Images with Latent Entropy Minimization

Author: Guha, Soumee, primary, Cuba, Olivia de, additional, Gahlmann, Andreas, additional, and Acton, Scott T., additional
Published: 2023
Full Text: View/download PDF

39. The James Webb Space Telescope Mission

Author: Gardner, Jonathan P., primary, Mather, John C., additional, Abbott, Randy, additional, Abell, James S., additional, Abernathy, Mark, additional, Abney, Faith E., additional, Abraham, John G., additional, Abraham, Roberto, additional, Abul-Huda, Yasin M., additional, Acton, Scott, additional, Adams, Cynthia K., additional, Adams, Evan, additional, Adler, David S., additional, Adriaensen, Maarten, additional, Aguilar, Jonathan Albert, additional, Ahmed, Mansoor, additional, Ahmed, Nasif S., additional, Ahmed, Tanjira, additional, Albat, Rüdeger, additional, Albert, Loïc, additional, Alberts, Stacey, additional, Aldridge, David, additional, Allen, Mary Marsha, additional, Allen, Shaune S., additional, Altenburg, Martin, additional, Altunc, Serhat, additional, Alvarez, Jose Lorenzo, additional, Álvarez-Márquez, Javier, additional, de Oliveira, Catarina Alves, additional, Ambrose, Leslie L., additional, Anandakrishnan, Satya M., additional, Andersen, Gregory C., additional, Anderson, Harry James, additional, Anderson, Jay, additional, Anderson, Kristen, additional, Anderson, Sara M., additional, Aprea, Julio, additional, Archer, Benita J., additional, Arenberg, Jonathan W., additional, Argyriou, Ioannis, additional, Arribas, Santiago, additional, Artigau, Étienne, additional, Arvai, Amanda Rose, additional, Atcheson, Paul, additional, Atkinson, Charles B., additional, Averbukh, Jesse, additional, Aymergen, Cagatay, additional, Bacinski, John J., additional, Baggett, Wayne E., additional, Bagnasco, Giorgio, additional, Baker, Lynn L., additional, Balzano, Vicki Ann, additional, Banks, Kimberly A., additional, Baran, David A., additional, Barker, Elizabeth A., additional, Barrett, Larry K., additional, Barringer, Bruce O., additional, Barto, Allison, additional, Bast, William, additional, Baudoz, Pierre, additional, Baum, Stefi, additional, Beatty, Thomas G., additional, Beaulieu, Mathilde, additional, Bechtold, Kathryn, additional, Beck, Tracy, additional, Beddard, Megan M., additional, Beichman, Charles, additional, Bellagama, Larry, additional, Bely, Pierre, additional, Berger, Timothy W., additional, Bergeron, Louis E., additional, Bernier, Antoine-Darveau, additional, Bertch, Maria D., additional, Beskow, Charlotte, additional, Betz, Laura E., additional, Biagetti, Carl P., additional, Birkmann, Stephan, additional, Bjorklund, Kurt F., additional, Blackwood, James D., additional, Blazek, Ronald Paul, additional, Blossfeld, Stephen, additional, Bluth, Marcel, additional, Boccaletti, Anthony, additional, Boegner Jr, Martin E., additional, Bohlin, Ralph C., additional, Boia, John Joseph, additional, Böker, Torsten, additional, Bonaventura, N., additional, Bond, Nicholas A., additional, Bosley, Kari Ann, additional, Boucarut, Rene A., additional, Bouchet, Patrice, additional, Bouwman, Jeroen, additional, Bower, Gary, additional, Bowers, Ariel S., additional, Bowers, Charles W., additional, Boyce, Leslye A., additional, Boyer, Christine T., additional, Boyer, Martha L., additional, Boyer, Michael, additional, Boyer, Robert, additional, Bradley, Larry D., additional, Brady, Gregory R., additional, Brandl, Bernhard R., additional, Brannen, Judith L., additional, Breda, David, additional, Bremmer, Harold G., additional, Brennan, David, additional, Bresnahan, Pamela A., additional, Bright, Stacey N., additional, Broiles, Brian J., additional, Bromenschenkel, Asa, additional, Brooks, Brian H., additional, Brooks, Keira J., additional, Brown, Bob, additional, Brown, Bruce, additional, Brown, Thomas M., additional, Bruce, Barry W., additional, Bryson, Jonathan G., additional, Bujanda, Edwin D., additional, Bullock, Blake M., additional, Bunker, A. J., additional, Bureo, Rafael, additional, Burt, Irving J., additional, Bush, James Aaron, additional, Bushouse, Howard A., additional, Bussman, Marie C., additional, Cabaud, Olivier, additional, Cale, Steven, additional, Calhoon, Charles D., additional, Calvani, Humberto, additional, Canipe, Alicia M., additional, Caputo, Francis M., additional, Cara, Mihai, additional, Carey, Larkin, additional, Case, Michael Eli, additional, Cesari, Thaddeus, additional, Cetorelli, Lee D., additional, Chance, Don R., additional, Chandler, Lynn, additional, Chaney, Dave, additional, Chapman, George N., additional, Charlot, S., additional, Chayer, Pierre, additional, Cheezum, Jeffrey I., additional, Chen, Bin, additional, Chen, Christine H., additional, Cherinka, Brian, additional, Chichester, Sarah C., additional, Chilton, Zachary S., additional, Chittiraibalan, Dharini, additional, Clampin, Mark, additional, Clark, Charles R., additional, Clark, Kerry W., additional, Clark, Stephanie M., additional, Claybrooks, Edward E., additional, Cleveland, Keith A., additional, Cohen, Andrew L., additional, Cohen, Lester M., additional, Colón, Knicole D., additional, Coleman, Benee L., additional, Colina, Luis, additional, Comber, Brian J., additional, Comeau, Thomas M., additional, Comer, Thomas, additional, Reis, Alain Conde, additional, Connolly, Dennis C., additional, Conroy, Kyle E., additional, Contos, Adam R., additional, Contreras, James, additional, Cook, Neil J., additional, Cooper, James L., additional, Cooper, Rachel Aviva, additional, Correia, Michael F., additional, Correnti, Matteo, additional, Cossou, Christophe, additional, Costanza, Brian F., additional, Coulais, Alain, additional, Cox, Colin R., additional, Coyle, Ray T., additional, Cracraft, Misty M., additional, Crew, Keith A., additional, Curtis, Gary J., additional, Cusveller, Bianca, additional, Maciel, Cleyciane Da Costa, additional, Dailey, Christopher T., additional, Daugeron, Frédéric, additional, Davidson, Greg S., additional, Davies, James E., additional, Davis, Katherine Anne, additional, Davis, Michael S., additional, Day, Ratna, additional, de Chambure, Daniel, additional, de Jong, Pauline, additional, De Marchi, Guido, additional, Dean, Bruce H., additional, Decker, John E., additional, Delisa, Amy S., additional, Dell, Lawrence C., additional, Dellagatta, Gail, additional, Dembinska, Franciszka, additional, Demosthenes, Sandor, additional, Dencheva, Nadezhda M., additional, Deneu, Philippe, additional, DePriest, William W., additional, Deschenes, Jeremy, additional, Dethienne, Nathalie, additional, Detre, Örs Hunor, additional, Diaz, Rosa Izela, additional, Dicken, Daniel, additional, DiFelice, Audrey S., additional, Dillman, Matthew, additional, Disharoon, Maureen O., additional, Dixon, William V., additional, Doggett, Jesse B., additional, Dominguez, Keisha L., additional, Donaldson, Thomas S., additional, Doria-Warner, Cristina M., additional, Santos, Tony Dos, additional, Doty, Heather, additional, Douglas, Jr, Robert E., additional, Doyon, René, additional, Dressler, Alan, additional, Driggers, Jennifer, additional, Driggers, Phillip A., additional, Dunn, Jamie L., additional, DuPrie, Kimberly C., additional, Dupuis, Jean, additional, Durning, John, additional, Dutta, Sanghamitra B., additional, Earl, Nicholas M., additional, Eccleston, Paul, additional, Ecobichon, Pascal, additional, Egami, Eiichi, additional, Ehrenwinkler, Ralf, additional, Eisenhamer, Jonathan D., additional, Eisenhower, Michael, additional, Eisenstein, Daniel J., additional, El Hamel, Zaky, additional, Elie, Michelle L., additional, Elliott, James, additional, Elliott, Kyle Wesley, additional, Engesser, Michael, additional, Espinoza, Néstor, additional, Etienne, Odessa, additional, Etxaluze, Mireya, additional, Evans, Leah, additional, Fabreguettes, Luce, additional, Falcolini, Massimo, additional, Falini, Patrick R., additional, Fatig, Curtis, additional, Feeney, Matthew, additional, Feinberg, Lee D., additional, Fels, Raymond, additional, Ferdous, Nazma, additional, Ferguson, Henry C., additional, Ferrarese, Laura, additional, Ferreira, Marie-Héléne, additional, Ferruit, Pierre, additional, Ferry, Malcolm, additional, Filippazzo, Joseph Charles, additional, Firre, Daniel, additional, Fix, Mees, additional, Flagey, Nicolas, additional, Flanagan, Kathryn A., additional, Fleming, Scott W., additional, Florian, Michael, additional, Flynn, James R., additional, Foiadelli, Luca, additional, Fontaine, Mark R., additional, Fontanella, Erin Marie, additional, Forshay, Peter Randolph, additional, Fortner, Elizabeth A., additional, Fox, Ori D., additional, Framarini, Alexandro P., additional, Francisco, John I., additional, Franck, Randy, additional, Franx, Marijn, additional, Franz, David E., additional, Friedman, Scott D., additional, Friend, Katheryn E., additional, Frost, James R., additional, Fu, Henry, additional, Fullerton, Alexander W., additional, Gaillard, Lionel, additional, Galkin, Sergey, additional, Gallagher, Ben, additional, Galyer, Anthony D., additional, García Marín, Macarena, additional, Gardner, Lisa E., additional, Garland, Dennis, additional, Garrett, Bruce Albert, additional, Gasman, Danny, additional, Gáspár, András, additional, Gastaud, René, additional, Gaudreau, Daniel, additional, Gauthier, Peter Timothy, additional, Geers, Vincent, additional, Geithner, Paul H., additional, Gennaro, Mario, additional, Gerber, John, additional, Gereau, John C., additional, Giampaoli, Robert, additional, Giardino, Giovanna, additional, Gibbons, Paul C., additional, Gilbert, Karoline, additional, Gilman, Larry, additional, Girard, Julien H., additional, Giuliano, Mark E., additional, Gkountis, Konstantinos, additional, Glasse, Alistair, additional, Glassmire, Kirk Zachary, additional, Glauser, Adrian Michael, additional, Glazer, Stuart D., additional, Goldberg, Joshua, additional, Golimowski, David A., additional, Gonzaga, Shireen P., additional, Gordon, Karl D., additional, Gordon, Shawn J., additional, Goudfrooij, Paul, additional, Gough, Michael J., additional, Graham, Adrian J., additional, Grau, Christopher M., additional, Green, Joel David, additional, Greene, Gretchen R., additional, Greene, Thomas P., additional, Greenfield, Perry E., additional, Greenhouse, Matthew A., additional, Greve, Thomas R., additional, Greville, Edgar M., additional, Grimaldi, Stefano, additional, Groe, Frank E., additional, Groebner, Andrew, additional, Grumm, David M., additional, Grundy, Timothy, additional, Güdel, Manuel, additional, Guillard, Pierre, additional, Guldalian, John, additional, Gunn, Christopher A., additional, Gurule, Anthony, additional, Gutman, Irvin Meyer, additional, Guy, Paul D., additional, Guyot, Benjamin, additional, Hack, Warren J., additional, Haderlein, Peter, additional, Hagan, James B., additional, Hagedorn, Andria, additional, Hainline, Kevin, additional, Haley, Craig, additional, Hami, Maryam, additional, Hamilton, Forrest Clifford, additional, Hammann, Jeffrey, additional, Hammel, Heidi B., additional, Hanley, Christopher J., additional, Hansen, Carl August, additional, Hardy, Bruce, additional, Harnisch, Bernd, additional, Harr, Michael Hunter, additional, Harris, Pamela, additional, Hart, Jessica Ann, additional, Hartig, George F., additional, Hasan, Hashima, additional, Hashim, Kathleen Marie, additional, Hashimoto, Ryan, additional, Haskins, Sujee J., additional, Hawkins, Robert Edward, additional, Hayden, Brian, additional, Hayden, William L., additional, Healy, Mike, additional, Hecht, Karen, additional, Heeg, Vince J., additional, Hejal, Reem, additional, Helm, Kristopher A., additional, Hengemihle, Nicholas J., additional, Henning, Thomas, additional, Henry, Alaina, additional, Henry, Ronald L., additional, Henshaw, Katherine, additional, Hernandez, Scarlin, additional, Herrington, Donald C., additional, Heske, Astrid, additional, Hesman, Brigette Emily, additional, Hickey, David L., additional, Hilbert, Bryan N., additional, Hines, Dean C., additional, Hinz, Michael R., additional, Hirsch, Michael, additional, Hitcho, Robert S., additional, Hodapp, Klaus, additional, Hodge, Philip E., additional, Hoffman, Melissa, additional, Holfeltz, Sherie T., additional, Holler, Bryan Jason, additional, Hoppa, Jennifer Rose, additional, Horner, Scott, additional, Howard, Joseph M., additional, Howard, Richard J., additional, Huber, Jean M., additional, Hunkeler, Joseph S., additional, Hunter, Alexander, additional, Hunter, David Gavin, additional, Hurd, Spencer W., additional, Hurst, Brendan J., additional, Hutchings, John B., additional, Hylan, Jason E., additional, Ignat, Luminita Ilinca, additional, Illingworth, Garth, additional, Irish, Sandra M., additional, Isaacs III, John C., additional, Jackson Jr, Wallace C., additional, Jaffe, Daniel T., additional, Jahic, Jasmin, additional, Jahromi, Amir, additional, Jakobsen, Peter, additional, James, Bryan, additional, James, John C., additional, James, LeAndrea Rae, additional, Jamieson, William Brian, additional, Jandra, Raymond D., additional, Jayawardhana, Ray, additional, Jedrzejewski, Robert, additional, Jeffers, Basil S., additional, Jensen, Peter, additional, Joanne, Egges, additional, Johns, Alan T., additional, Johnson, Carl A., additional, Johnson, Eric L., additional, Johnson, Patricia, additional, Johnson, Phillip Stephen, additional, Johnson, Thomas K., additional, Johnson, Timothy W., additional, Johnstone, Doug, additional, Jollet, Delphine, additional, Jones, Danny P., additional, Jones, Gregory S., additional, Jones, Olivia C., additional, Jones, Ronald A., additional, Jones, Vicki, additional, Jordan, Ian J., additional, Jordan, Margaret E., additional, Jue, Reginald, additional, Jurkowski, Mark H., additional, Justis, Grant, additional, Justtanont, Kay, additional, Kaleida, Catherine C., additional, Kalirai, Jason S., additional, Kalmanson, Phillip Cabrales, additional, Kaltenegger, Lisa, additional, Kammerer, Jens, additional, Kan, Samuel K., additional, Kanarek, Graham Childs, additional, Kao, Shaw-Hong, additional, Karakla, Diane M., additional, Karl, Hermann, additional, Kassin, Susan A., additional, Kauffman, David D., additional, Kavanagh, Patrick, additional, Kelley, Leigh L., additional, Kelly, Douglas M., additional, Kendrew, Sarah, additional, Kennedy, Herbert V., additional, Kenny, Deborah A., additional, Keski-Kuha, Ritva A., additional, Keyes, Charles D., additional, Khan, Ali, additional, Kidwell, Richard C., additional, Kimble, Randy A., additional, King, James S., additional, King, Richard C., additional, Kinzel, Wayne M., additional, Kirk, Jeffrey R., additional, Kirkpatrick, Marc E., additional, Klaassen, Pamela, additional, Klingemann, Lana, additional, Klintworth, Paul U., additional, Knapp, Bryan Adam, additional, Knight, Scott, additional, Knollenberg, Perry J., additional, Knutsen, Daniel Mark, additional, Koehler, Robert, additional, Koekemoer, Anton M., additional, Kofler, Earl T., additional, Kontson, Vicki L., additional, Kovacs, Aiden Rose, additional, Kozhurina-Platais, Vera, additional, Krause, Oliver, additional, Kriss, Gerard A., additional, Krist, John, additional, Kristoffersen, Monica R., additional, Krogel, Claudia, additional, Krueger, Anthony P., additional, Kulp, Bernard A., additional, Kumari, Nimisha, additional, Kwan, Sandy W., additional, Kyprianou, Mark, additional, Labador, Aurora Gadiano, additional, Labiano, Álvaro, additional, Lafrenière, David, additional, Lagage, Pierre-Olivier, additional, Laidler, Victoria G., additional, Laine, Benoit, additional, Laird, Simon, additional, Lajoie, Charles-Philippe, additional, Lallo, Matthew D., additional, Lam, May Yen, additional, LaMassa, Stephanie Marie, additional, Lambros, Scott D., additional, Lampenfield, Richard Joseph, additional, Lander, Matthew Ed, additional, Langston, James Hutton, additional, Larson, Kirsten, additional, Larson, Melora, additional, LaVerghetta, Robert Joseph, additional, Law, David R., additional, Lawrence, Jon F., additional, Lee, David W., additional, Lee, Janice, additional, Lee, Yat-Ning Paul, additional, Leisenring, Jarron, additional, Leveille, Michael Dunlap, additional, Levenson, Nancy A., additional, Levi, Joshua S., additional, Levine, Marie B., additional, Lewis, Dan, additional, Lewis, Jake, additional, Lewis, Nikole, additional, Libralato, Mattia, additional, Lidon, Norbert, additional, Liebrecht, Paula Louisa, additional, Lightsey, Paul, additional, Lilly, Simon, additional, Lim, Frederick C., additional, Lim, Pey Lian, additional, Ling, Sai-Kwong, additional, Link, Lisa J., additional, Link, Miranda Nicole, additional, Lipinski, Jamie L., additional, Liu, XiaoLi, additional, Lo, Amy S., additional, Lobmeyer, Lynette, additional, Logue, Ryan M., additional, Long, Chris A., additional, Long, Douglas R., additional, Long, Ilana D., additional, Long, Knox S., additional, López-Caniego, Marcos, additional, Lotz, Jennifer M., additional, Love-Pruitt, Jennifer M., additional, Lubskiy, Michael, additional, Luers, Edward B., additional, Luetgens, Robert A., additional, Luevano, Annetta J., additional, G. Flores Lui, Sarah Marie, additional, Lund III, James M., additional, Lundquist, Ray A., additional, Lunine, Jonathan, additional, Lützgendorf, Nora, additional, Lynch, Richard J., additional, MacDonald, Alex J., additional, MacDonald, Kenneth, additional, Macias, Matthew J., additional, Macklis, Keith I., additional, Maghami, Peiman, additional, Maharaja, Rishabh Y., additional, Maiolino, Roberto, additional, Makrygiannis, Konstantinos G., additional, Malla, Sunita Giri, additional, Malumuth, Eliot M., additional, Manjavacas, Elena, additional, Marini, Andrea, additional, Marrione, Amanda, additional, Marston, Anthony, additional, Martel, André R, additional, Martin, Didier, additional, Martin, Peter G., additional, Martinez, Kristin L., additional, Maschmann, Marc, additional, Masci, Gregory L., additional, Masetti, Margaret E., additional, Maszkiewicz, Michael, additional, Matthews, Gary, additional, Matuskey, Jacob E., additional, McBrayer, Glen A., additional, McCarthy, Donald W., additional, McCaughrean, Mark J., additional, McClare, Leslie A., additional, McClare, Michael D., additional, McCloskey, John C., additional, McClurg, Taylore D., additional, McCoy, Martin, additional, McElwain, Michael W., additional, McGregor, Roy D., additional, McGuffey, Douglas B., additional, McKay, Andrew G., additional, McKenzie, William K., additional, McLean, Brian, additional, McMaster, Matthew, additional, McNeil, Warren, additional, De Meester, Wim, additional, Mehalick, Kimberly L., additional, Meixner, Margaret, additional, Meléndez, Marcio, additional, Menzel, Michael P., additional, Menzel, Michael T., additional, Merz, Matthew, additional, Mesterharm, David D., additional, Meyer, Michael R., additional, Meyett, Michele L., additional, Meza, Luis E., additional, Midwinter, Calvin, additional, Milam, Stefanie N., additional, Miller, Jay Todd, additional, Miller, William C., additional, Miskey, Cherie L., additional, Misselt, Karl, additional, Mitchell, Eileen P., additional, Mohan, Martin, additional, Montoya, Emily E., additional, Moran, Michael J., additional, Morishita, Takahiro, additional, Moro-Martín, Amaya, additional, Morrison, Debra L., additional, Morrison, Jane, additional, Morse, Ernie C., additional, Moschos, Michael, additional, Moseley, S. H., additional, Mosier, Gary E., additional, Mosner, Peter, additional, Mountain, Matt, additional, Muckenthaler, Jason S., additional, Mueller, Donald G., additional, Mueller, Migo, additional, Muhiem, Daniella, additional, Mühlmann, Prisca, additional, Mullally, Susan Elizabeth, additional, Mullen, Stephanie M., additional, Munger, Alan J, additional, Murphy, Jess, additional, Murray, Katherine T., additional, Muzerolle, James C., additional, Mycroft, Matthew, additional, Myers, Andrew, additional, Myers, Carey R., additional, R. Myers, Fred Richard, additional, Myers, Richard, additional, Myrick, Kaila, additional, Nagle, IV, Adrian F., additional, Nayak, Omnarayani, additional, Naylor, Bret, additional, Neff, Susan G., additional, Nelan, Edmund P., additional, Nella, John, additional, Nguyen, Duy Tuong, additional, Nguyen, Michael N., additional, Nickson, Bryony, additional, Nidhiry, John Joseph, additional, Niedner, Malcolm B., additional, Nieto-Santisteban, Maria, additional, Nikolov, Nikolay K., additional, Nishisaka, Mary Ann, additional, Noriega-Crespo, Alberto, additional, Nota, Antonella, additional, O’Mara, Robyn C., additional, Oboryshko, Michael, additional, O’Brien, Marcus B., additional, Ochs, William R., additional, Offenberg, Joel D., additional, Ogle, Patrick Michael, additional, Ohl, Raymond G., additional, Olmsted, Joseph Hamden, additional, Osborne, Shannon Barbara, additional, O’Shaughnessy, Brian Patrick, additional, Östlin, Göran, additional, O’Sullivan, Brian, additional, Otor, O. Justin, additional, Ottens, Richard, additional, Ouellette, Nathalie N.-Q., additional, Outlaw, Daria J., additional, Owens, Beverly A., additional, Pacifici, Camilla, additional, Page, James Christophe, additional, Paranilam, James G., additional, Park, Sang, additional, Parrish, Keith A., additional, Paschal, Laura, additional, Patapis, Polychronis, additional, Patel, Jignasha, additional, Patrick, Keith, additional, Pattishall Jr, Robert A., additional, Paul, Douglas William, additional, Paul, Shirley J., additional, Pauly, Tyler Andrew, additional, Pavlovsky, Cheryl M., additional, Peña-Guerrero, Maria, additional, Pedder, Andrew H., additional, Peek, Matthew Weldon, additional, Pelham, Patricia A., additional, Penanen, Konstantin, additional, Perriello, Beth A., additional, Perrin, Marshall D., additional, Perrine, Richard F., additional, Perrygo, Chuck, additional, Peslier, Muriel, additional, Petach, Michael, additional, Peterson, Karla A., additional, Pfarr, Tom, additional, Pierson, James M., additional, Pietraszkiewicz, Martin, additional, Pilchen, Guy, additional, Pipher, Judy L., additional, Pirzkal, Norbert, additional, Pitman, Joseph T., additional, Player, Danielle M., additional, Plesha, Rachel, additional, Plitzke, Anja, additional, Pohner, John A., additional, Poletis, Karyn Konstantin, additional, Pollizzi, Joseph A., additional, Polster, Ethan, additional, Pontius, James T., additional, Pontoppidan, Klaus, additional, Porges, Susana C., additional, Potter, Gregg D., additional, Prescott, Stephen, additional, Proffitt, Charles R., additional, Pueyo, Laurent, additional, Quispe Neira, Irma Aracely, additional, Radich, Armando, additional, Rager, Reiko T., additional, Rameau, Julien, additional, Ramey, Deborah D., additional, Alarcon, Rafael Ramos, additional, Rampini, Riccardo, additional, Rapp, Robert, additional, Rashford, Robert A., additional, Rauscher, Bernard J., additional, Ravindranath, Swara, additional, Rawle, Timothy, additional, Rawlings, Tynika N., additional, Ray, Tom, additional, Regan, Michael W., additional, Rehm, Brian, additional, Rehm, Kenneth D., additional, Reid, Neill, additional, Reis, Carl A., additional, Renk, Florian, additional, Reoch, Tom B., additional, Ressler, Michael, additional, Rest, Armin W., additional, Reynolds, Paul J., additional, Richon, Joel G., additional, Richon, Karen V., additional, Ridgaway, Michael, additional, Riedel, Adric Richard, additional, Rieke, George H., additional, Rieke, Marcia J., additional, Rifelli, Richard E., additional, Rigby, Jane R., additional, Riggs, Catherine S., additional, Ringel, Nancy J., additional, Ritchie, Christine E., additional, Rix, Hans-Walter, additional, Robberto, Massimo, additional, Robinson, Gregory L., additional, Robinson, Michael S., additional, Robinson, Orion, additional, Rock, Frank W., additional, Rodriguez, David R., additional, del Pino, Bruno Rodríguez, additional, Roellig, Thomas, additional, Rohrbach, Scott O., additional, Roman, Anthony J., additional, Romelfanger, Frederick J., additional, Romo Jr, Felipe P., additional, Rosales, Jose J., additional, Rose, Perry, additional, Roteliuk, Anthony F., additional, Roth, Marc N., additional, Rothwell, Braden Quinn, additional, Rouzaud, Sylvain, additional, Rowe, Jason, additional, Rowlands, Neil, additional, Roy, Arpita, additional, Royer, Pierre, additional, Rui, Chunlei, additional, Rumler, Peter, additional, Rumpl, William, additional, Russ, Melissa L., additional, Ryan, Michael B., additional, Ryan, Richard M., additional, Saad, Karl, additional, Sabata, Modhumita, additional, Sabatino, Rick, additional, Sabbi, Elena, additional, Sabelhaus, Phillip A., additional, Sabia, Stephen, additional, Sahu, Kailash C., additional, Saif, Babak N., additional, Salvignol, Jean-Christophe, additional, Samara-Ratna, Piyal, additional, Samuelson, Bridget S., additional, Sanders, Felicia A., additional, Sappington, Bradley, additional, Sargent, B. A., additional, Sauer, Arne, additional, Savadkin, Bruce J., additional, Sawicki, Marcin, additional, Schappell, Tina M., additional, Scheffer, Caroline, additional, Scheithauer, Silvia, additional, Scherer, Ron, additional, Schiff, Conrad, additional, Schlawin, Everett, additional, Schmeitzky, Olivier, additional, Schmitz, Tyler S., additional, Schmude, Donald J., additional, Schneider, Analyn, additional, Schreiber, Jürgen, additional, Schroeven-Deceuninck, Hilde, additional, Schultz, John J., additional, Schwab, Ryan, additional, Schwartz, Curtis H., additional, Scoccimarro, Dario, additional, Scott, John F., additional, Scott, Michelle B., additional, Seaton, Bonita L., additional, Seely, Bruce S., additional, Seery, Bernard, additional, Seidleck, Mark, additional, Sembach, Kenneth, additional, Shanahan, Clare Elizabeth, additional, Shaughnessy, Bryan, additional, Shaw, Richard A., additional, Shay, Christopher Michael, additional, Sheehan, Even, additional, Sheth, Kartik, additional, Shih, Hsin-Yi, additional, Shivaei, Irene, additional, Siegel, Noah, additional, Sienkiewicz, Matthew G., additional, Simmons, Debra D., additional, Simon, Bernard P., additional, Sirianni, Marco, additional, Sivaramakrishnan, Anand, additional, Slade, Jeffrey E., additional, Sloan, G. C., additional, Slocum, Christine E., additional, Slowinski, Steven E., additional, Smith, Corbett T., additional, Smith, Eric P., additional, Smith, Erin C., additional, Smith, Koby, additional, Smith, Robert, additional, Smith, Stephanie J., additional, Smolik, John L., additional, Soderblom, David R., additional, Sohn, Sangmo Tony, additional, Sokol, Jeff, additional, Sonneborn, George, additional, Sontag, Christopher D., additional, Sooy, Peter R., additional, Soummer, Remi, additional, Southwood, Dana M., additional, Spain, Kay, additional, Sparmo, Joseph, additional, Speer, David T., additional, Spencer, Richard, additional, Sprofera, Joseph D., additional, Stallcup, Scott S., additional, Stanley, Marcia K., additional, Stansberry, John A., additional, Stark, Christopher C., additional, Starr, Carl W., additional, Stassi, Diane Y., additional, Steck, Jane A., additional, Steeley, Christine D., additional, Stephens, Matthew A., additional, Stephenson, Ralph J., additional, Stewart, Alphonso C., additional, Stiavelli, Massimo, additional, Jr, Hervey Stockman, additional, Strada, Paolo, additional, Straughn, Amber N., additional, Streetman, Scott, additional, Strickland, David Kendal, additional, Strobele, Jingping F., additional, Stuhlinger, Martin, additional, Stys, Jeffrey Edward, additional, Such, Miguel, additional, Sukhatme, Kalyani, additional, Sullivan, Joseph F., additional, Sullivan, Pamela C., additional, Sumner, Sandra M., additional, Sun, Fengwu, additional, Sunnquist, Benjamin Dale, additional, Swade, Daryl Allen, additional, Swam, Michael S., additional, Swenton, Diane F., additional, Swoish, Robby A., additional, Tam Litten, Oi In, additional, Tamas, Laszlo, additional, Tao, Andrew, additional, Taylor, David K., additional, Taylor, Joanna M., additional, Plate, Maurice te, additional, Van Tea, Mason, additional, Teague, Kelly K., additional, Telfer, Randal C., additional, Temim, Tea, additional, Texter, Scott C., additional, Thatte, Deepashri G., additional, Thompson, Christopher Lee, additional, Thompson, Linda M., additional, Thomson, Shaun R., additional, Thronson, Harley, additional, Tierney, C. M., additional, Tikkanen, Tuomo, additional, Tinnin, Lee, additional, Tippet, William Thomas, additional, Todd, Connor William, additional, Tran, Hien D., additional, Trauger, John, additional, Trejo, Edwin Gregorio, additional, Vinh Truong, Justin Hoang, additional, Tsukamoto, Christine L., additional, Tufail, Yasir, additional, Tumlinson, Jason, additional, Tustain, Samuel, additional, Tyra, Harrison, additional, Ubeda, Leonardo, additional, Underwood, Kelli, additional, Uzzo, Michael A., additional, Vaclavik, Steven, additional, Valenduc, Frida, additional, Valenti, Jeff A., additional, Van Campen, Julie, additional, van de Wetering, Inge, additional, Van Der Marel, Roeland P., additional, van Haarlem, Remy, additional, Vandenbussche, Bart, additional, van Dishoeck, Ewine F., additional, Vanterpool, Dona D., additional, Vernoy, Michael R., additional, Vila Costas, Maria Begoña, additional, Volk, Kevin, additional, Voorzaat, Piet, additional, Voyton, Mark F., additional, Vydra, Ekaterina, additional, Waddy, Darryl J., additional, Waelkens, Christoffel, additional, Wahlgren, Glenn Michael, additional, Walker Jr, Frederick E., additional, Wander, Michel, additional, Warfield, Christine K., additional, Warner, Gerald, additional, Wasiak, Francis C., additional, Wasiak, Matthew F., additional, Wehner, James, additional, Weiler, Kevin R., additional, Weilert, Mark, additional, Weiss, Stanley B., additional, Wells, Martyn, additional, Welty, Alan D., additional, Wheate, Lauren, additional, Wheeler, Thomas P., additional, White, Christy L., additional, Whitehouse, Paul, additional, Whiteleather, Jennifer Margaret, additional, Whitman, William Russell, additional, Williams, Christina C., additional, Willmer, Christopher N. A., additional, Willott, Chris J., additional, Willoughby, Scott P., additional, Wilson, Andrew, additional, Wilson, Debra, additional, Wilson, Donna V., additional, Windhorst, Rogier, additional, Wislowski, Emily Christine, additional, Wolfe, David J., additional, Wolfe, Michael A., additional, Wolff, Schuyler, additional, Wondel, Amancio, additional, Woo, Cindy, additional, Woods, Robert T., additional, Worden, Elaine, additional, Workman, William, additional, Wright, Gillian S., additional, Wu, Carl, additional, Wu, Chi-Rai, additional, Wun, Dakin D., additional, Wymer, Kristen B., additional, Yadetie, Thomas, additional, Yan, Isabelle C., additional, Yang, Keith C., additional, Yates, Kayla L., additional, Yeager, Christopher R., additional, Yerger, Ethan John, additional, Young, Erick T., additional, Young, Gary, additional, Yu, Gene, additional, Yu, Susan, additional, Zak, Dean S., additional, Zeidler, Peter, additional, Zepp, Robert, additional, Zhou, Julia, additional, Zincke, Christian A., additional, Zonak, Stephanie, additional, and Zondag, Elisabeth, additional
Published: 2023
Full Text: View/download PDF

40. Geometric Active Contours

Author: Acton, Scott T., Ray, Nilanjan, Acton, Scott T., and Ray, Nilanjan
Published: 2009
Full Text: View/download PDF

41. Active Contours in a Bayesian Framework

Author: Acton, Scott T., Ray, Nilanjan, Acton, Scott T., and Ray, Nilanjan
Published: 2009
Full Text: View/download PDF

42. Scale-Space Image Filtering for Segmentation

Author: Acton, Scott T., Ray, Nilanjan, Acton, Scott T., and Ray, Nilanjan
Published: 2009
Full Text: View/download PDF

43. Segmentation with Graph Algorithms

Author: Acton, Scott T., Ray, Nilanjan, Acton, Scott T., and Ray, Nilanjan
Published: 2009
Full Text: View/download PDF

44. Parametric Active Contours

Author: Acton, Scott T., Ray, Nilanjan, Acton, Scott T., and Ray, Nilanjan
Published: 2009
Full Text: View/download PDF

45. Calcium Imaging of Microglial Network Activity in Stroke

Author: Tvrdik, Petr, primary, Kearns, Kathryn N., additional, Sharifi, Khadijeh A., additional, Sluzewski, M. Filip, additional, Acton, Scott T., additional, and Kalani, M. Yashar S., additional
Published: 2019
Full Text: View/download PDF