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1. Associations Between Muscle Weakness and Clinical Outcomes in Current and Former Smokers.

Author

Zou, Richard H, Nouraie, S Mehdi, Rossiter, Harry B, McDonald, Merry-Lynn, DeMeo, Dawn L, Mason, Stefanie, Washko, George R, Saha, Punam K, Make, Barry J, Casaburi, Richard, Regan, Elizabeth A, and Bon, Jessica

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Health Sciences, Clinical Trials and Supportive Activities, Clinical Research, Lung, Chronic Obstructive Pulmonary Disease, Respiratory, Good Health and Well Being, COPDGene Investigators, COPD outcomes, COPDGene, chronic obstructive pulmonary disease, cigarette smoking, musculoskeletal comorbidities
Abstract

IntroductionSmokers with chronic obstructive pulmonary disease (COPD) are at increased risk of muscle weakness. There are limited data describing weakness in smokers with normal spirometry and preserved ratio-impaired spirometry (PRISm), 2 subgroups at risk of respiratory symptom burden and activity limitations. In this study, we evaluated the associations of 2 weakness measures, sit-to-stand (STS) and handgrip strength (HGS), with clinical outcomes in smokers with COPD, normal spirometry, and PRISm.MethodsWe evaluated 1972 current and former smokers from the COPD Genetic Epidemiology (COPDGene®) cohort with STS and HGS measurements at their 10-year study visit. Multivariable regression modeling was used to assess associations between weakness measures and the 6-minute walk distance (6MWD) test, the St George's Respiratory Questionnaire (SGRQ), the Short-Form-36 (SF-36), severe exacerbations, and prospective mortality, reported as standardized coefficients (β), odds ratios (ORs), or hazard ratios (HRs).ResultsCompared with HGS, STS was more strongly associated with the 6MWD (β=0.45, p

Published
2023

3. Skeletonization and Its Application to Quantitative Structural Imaging

Author

Saha, Punam K., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Basu, Subhadip, editor, Kole, Dipak Kumar, editor, Maji, Arnab Kumar, editor, Plewczynski, Dariusz, editor, and Bhattacharjee, Debotosh, editor

Published
2023
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5. Vessel and Airway Characteristics in One-Year CT-defined Rapid Emphysema Progression: SPIROMICS

Author

Gerard, Sarah E, primary, Dougherty, Timothy M., additional, Nagpal, Prashant, additional, Jin, Dakai, additional, Han, MeiLan K., additional, Newell Jr., John D, additional, Saha, Punam K, additional, Comellas, Alejandro P., additional, Cooper, Christopher B., additional, Couper, David, additional, Fortis, Spyridon, additional, Guo, Junfeng, additional, Hansel, Nadia N, additional, Kanner, Richard E, additional, Kazeroni, Ella A, additional, Martinez, Fernando J., additional, Motahari, Amin, additional, Paine III, Robert, additional, Rennard, Stephen, additional, Schroeder, Joyce D., additional, Woodruff, Prescott G., additional, Barr, R Graham, additional, Smith, Benjamin M, additional, and Hoffman, Eric A., additional

Published
2024
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6. CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)

Author

You, Chenyu, Li, Guang, Zhang, Yi, Zhang, Xiaoliu, Shan, Hongming, Ju, Shenghong, Zhao, Zhen, Zhang, Zhuiyang, Cong, Wenxiang, Vannier, Michael W., Saha, Punam K., and Wang, Ge

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Computed tomography (CT) is widely used in screening, diagnosis, and image-guided therapy for both clinical and research purposes. Since CT involves ionizing radiation, an overarching thrust of related technical research is development of novel methods enabling ultrahigh quality imaging with fine structural details while reducing the X-ray radiation. In this paper, we present a semi-supervised deep learning approach to accurately recover high-resolution (HR) CT images from low-resolution (LR) counterparts. Specifically, with the generative adversarial network (GAN) as the building block, we enforce the cycle-consistency in terms of the Wasserstein distance to establish a nonlinear end-to-end mapping from noisy LR input images to denoised and deblurred HR outputs. We also include the joint constraints in the loss function to facilitate structural preservation. In this deep imaging process, we incorporate deep convolutional neural network (CNN), residual learning, and network in network techniques for feature extraction and restoration. In contrast to the current trend of increasing network depth and complexity to boost the CT imaging performance, which limit its real-world applications by imposing considerable computational and memory overheads, we apply a parallel $1\times1$ CNN to compress the output of the hidden layer and optimize the number of layers and the number of filters for each convolutional layer. Quantitative and qualitative evaluations demonstrate that our proposed model is accurate, efficient and robust for super-resolution (SR) image restoration from noisy LR input images. In particular, we validate our composite SR networks on three large-scale CT datasets, and obtain promising results as compared to the other state-of-the-art methods.

Published
2018
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8. Improved Multi-scale Opening Algorithm Using Fuzzy Distance Transform Based Geodesic Path Propagation

Author

Das, Nirmal, Guha, Indranil, Saha, Punam K., Basu, Subhadip, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Bhattacharjee, Debotosh, editor, Kole, Dipak Kumar, editor, Dey, Nilanjan, editor, Basu, Subhadip, editor, and Plewczynski, Dariusz, editor

Published
2021
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9. Vessel and Airway Characteristics in One-Year Computed Tomography–defined Rapid Emphysema Progression: SPIROMICS.

Author

Gerard, Sarah E., Dougherty, Timothy M., Nagpal, Prashant, Jin, Dakai, Han, MeiLan K., Newell Jr., John D., Saha, Punam K., Comellas, Alejandro P., Cooper, Christopher B., Couper, David, Fortis, Spyridon, Guo, Junfeng, Hansel, Nadia N., Kanner, Richard E., Kazeroni, Ella A., Martinez, Fernando J., Motahari, Amin, Paine III, Robert, Rennard, Stephen, and Schroeder, Joyce D.

Subjects
LUNGS, PULMONARY circulation, LUNG volume, CHRONIC obstructive pulmonary disease, OBSTRUCTIVE lung diseases, FORCED expiratory volume, VASCULAR resistance
Abstract

Rationale: Rates of emphysema progression vary in chronic obstructive pulmonary disease (COPD), and the relationships with vascular and airway pathophysiology remain unclear. Objectives: We sought to determine if indices of peripheral (segmental and beyond) pulmonary arterial dilation measured on computed tomography (CT) are associated with a 1-year index of emphysema (EI; percentage of voxels <−950 Hounsfield units) progression. Methods: Five hundred ninety-nine former and never-smokers (Global Initiative for Chronic Obstructive Lung Disease stages 0–3) were evaluated from the SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study) cohort: rapid emphysema progressors (RPs; n = 188, 1-year ΔEI > 1%), nonprogressors (n = 301, 1-year ΔEI ± 0.5%), and never-smokers (n = 110). Segmental pulmonary arterial cross-sectional areas were standardized to associated airway luminal areas (segmental pulmonary artery–to–airway ratio [PAARseg]). Full-inspiratory CT scan–derived total (arteries and veins) pulmonary vascular volume (TPVV) was compared with small vessel volume (radius smaller than 0.75 mm). Ratios of airway to lung volume (an index of dysanapsis and COPD risk) were compared with ratios of TPVV to lung volume. Results: Compared with nonprogressors, RPs exhibited significantly larger PAARseg (0.73 ± 0.29 vs. 0.67 ± 0.23; P = 0.001), lower ratios of TPVV to lung volume (3.21 ± 0.42% vs. 3.48 ± 0.38%; P = 5.0 × 10−12), lower ratios of airway to lung volume (0.031 ± 0.003 vs. 0.034 ± 0.004; P = 6.1 × 10−13), and larger ratios of small vessel volume to TPVV (37.91 ± 4.26% vs. 35.53 ± 4.89%; P = 1.9 × 10−7). In adjusted analyses, an increment of 1 standard deviation in PAARseg was associated with a 98.4% higher rate of severe exacerbations (95% confidence interval, 29–206%; P = 0.002) and 79.3% higher odds of being in the RP group (95% confidence interval, 24–157%; P = 0.001). At 2-year follow-up, the CT-defined RP group demonstrated a significant decline in postbronchodilator percentage predicted forced expiratory volume in 1 second. Conclusions: Rapid one-year progression of emphysema was associated with indices indicative of higher peripheral pulmonary vascular resistance and a possible role played by pulmonary vascular–airway dysanapsis. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Deep learning‐based harmonization of trabecular bone microstructures between high‐ and low‐resolution CT imaging.

Author

Guha, Indranil, Nadeem, Syed Ahmed, Zhang, Xiaoliu, DiCamillo, Paul A., Levy, Steven M., Wang, Ge, and Saha, Punam K.

Subjects
CANCELLOUS bone, COMPUTED tomography, GENERATIVE adversarial networks, BONE density, TRAINING of volunteers, VOLUNTEER recruitment, DEEP learning, OPTICAL scanners
Abstract

Background: Osteoporosis is a bone disease related to increased bone loss and fracture‐risk. The variability in bone strength is partially explained by bone mineral density (BMD), and the remainder is contributed by bone microstructure. Recently, clinical CT has emerged as a viable option for in vivo bone microstructural imaging. Wide variations in spatial‐resolution and other imaging features among different CT scanners add inconsistency to derived bone microstructural metrics, urging the need for harmonization of image data from different scanners. Purpose: This paper presents a new deep learning (DL) method for the harmonization of bone microstructural images derived from low‐ and high‐resolution CT scanners and evaluates the method's performance at the levels of image data as well as derived microstructural metrics. Methods: We generalized a three‐dimensional (3D) version of GAN‐CIRCLE that applies two generative adversarial networks (GANs) constrained by the identical, residual, and cycle learning ensemble (CIRCLE). Two GAN modules simultaneously learn to map low‐resolution CT (LRCT) to high‐resolution CT (HRCT) and vice versa. Twenty volunteers were recruited. LRCT and HRCT scans of the distal tibia of their left legs were acquired. Five‐hundred pairs of LRCT and HRCT image blocks of 64×64×64$64 \times 64 \times 64 $ voxels were sampled for each of the twelve volunteers and used for training in supervised as well as unsupervised setups. LRCT and HRCT images of the remaining eight volunteers were used for evaluation. LRCT blocks were sampled at 32 voxel intervals in each coordinate direction and predicted HRCT blocks were stitched to generate a predicted HRCT image. Results: Mean ± standard deviation of structural similarity (SSIM) values between predicted and true HRCT using both 3DGAN‐CIRCLE‐based supervised (0.84 ± 0.03) and unsupervised (0.83 ± 0.04) methods were significantly (p < 0.001) higher than the mean SSIM value between LRCT and true HRCT (0.75 ± 0.03). All Tb measures derived from predicted HRCT by the supervised 3DGAN‐CIRCLE showed higher agreement (CCC ∈$ \in $ [0.956 0.991]) with the reference values from true HRCT as compared to LRCT‐derived values (CCC ∈$ \in $ [0.732 0.989]). For all Tb measures, except Tb plate‐width (CCC = 0.866), the unsupervised 3DGAN‐CIRCLE showed high agreement (CCC ∈$ \in $ [0.920 0.964]) with the true HRCT‐derived reference measures. Moreover, Bland‐Altman plots showed that supervised 3DGAN‐CIRCLE predicted HRCT reduces bias and variability in residual values of different Tb measures as compared to LRCT and unsupervised 3DGAN‐CIRCLE predicted HRCT. The supervised 3DGAN‐CIRCLE method produced significantly improved performance (p < 0.001) for all Tb measures as compared to the two DL‐based supervised methods available in the literature. Conclusions: 3DGAN‐CIRCLE, trained in either unsupervised or supervised fashion, generates HRCT images with high structural similarity to the reference true HRCT images. The supervised 3DGAN‐CIRCLE improves agreements of computed Tb microstructural measures with their reference values and outperforms the unsupervised 3DGAN‐CIRCLE. 3DGAN‐CIRCLE offers a viable DL solution to retrospectively improve image resolution, which may aid in data harmonization in multi‐site longitudinal studies where scanner mismatch is unavoidable. [ABSTRACT FROM AUTHOR]

Published
2024
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12. Design of Cerebrovascular Phantoms Using Fuzzy Distance Transform-based Geodesic Paths

Author

Guha, Indranil, Das, Nirmal, Rakshit, Pranati, Nasipuri, Mita, Saha, Punam K., Basu, Subhadip, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Series editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Sa, Pankaj Kumar, editor, Sahoo, Manmath Narayan, editor, Murugappan, M., editor, Wu, Yulei, editor, and Majhi, Banshidhar, editor

Published
2018
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13. Path-Gradient – A Theory of Computing Full Intensity-Transition Between Two Points

Author

Nadeem, Syed Ahmed, Hoffman, Eric A., Saha, Punam K., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Mendoza, Marcelo, editor, and Velastín, Sergio, editor

Published
2018
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14. A New Algorithm for Local Blur-Scale Computation and Edge Detection

Author

Guha, Indranil, Saha, Punam K., Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Bebis, George, editor, Boyle, Richard, editor, Parvin, Bahram, editor, Koracin, Darko, editor, Turek, Matt, editor, Ramalingam, Srikumar, editor, Xu, Kai, editor, Lin, Stephen, editor, Alsallakh, Bilal, editor, Yang, Jing, editor, Cuervo, Eduardo, editor, and Ventura, Jonathan, editor

Published
2018
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15. Shape-Based Smoothing of Binary Digital Objects Using Signed Distance Transform

Author

Zhang, Xiaoliu, Chen, Cheng, Chang, Gregory, Saha, Punam K., Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Bebis, George, editor, Boyle, Richard, editor, Parvin, Bahram, editor, Koracin, Darko, editor, Turek, Matt, editor, Ramalingam, Srikumar, editor, Xu, Kai, editor, Lin, Stephen, editor, Alsallakh, Bilal, editor, Yang, Jing, editor, Cuervo, Eduardo, editor, and Ventura, Jonathan, editor

Published
2018
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17. The Minimum Barrier Distance: A Summary of Recent Advances

Author

Strand, Robin, Ciesielski, Krzysztof Chris, Malmberg, Filip, Saha, Punam K., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Kropatsch, Walter G., editor, Artner, Nicole M., editor, and Janusch, Ines, editor

Published
2017
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18. Segmentation of Trabecular Bone for In Vivo CT Imaging Using a Novel Approach of Computing Spatial Variation in Bone and Marrow Intensities

Author

Chen, Cheng, Jin, Dakai, Zhang, Xiaoliu, Levy, Steven M., Saha, Punam K., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Chen, Chu-Song, editor, Lu, Jiwen, editor, and Ma, Kai-Kuang, editor

Published
2017
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19. A Novel Iterative Method for Airway Tree Segmentation from CT Imaging Using Multiscale Leakage Detection

Author

Nadeem, Syed Ahmed, Jin, Dakai, Hoffman, Eric A., Saha, Punam K., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Chen, Chu-Song, editor, Lu, Jiwen, editor, and Ma, Kai-Kuang, editor

Published
2017
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21. A survey on artificial intelligence in pulmonary imaging.

Author

Saha, Punam K., Nadeem, Syed Ahmed, and Comellas, Alejandro P.

Subjects
*ARTIFICIAL intelligence, *IMAGE recognition (Computer vision), *CHRONIC obstructive pulmonary disease, *LUNG diseases, *ETIOLOGY of diseases, *INHALERS, *IMAGE registration
Abstract

Over the last decade, deep learning (DL) has contributed to a paradigm shift in computer vision and image recognition creating widespread opportunities of using artificial intelligence in research as well as industrial applications. DL has been extensively studied in medical imaging applications, including those related to pulmonary diseases. Chronic obstructive pulmonary disease, asthma, lung cancer, pneumonia, and, more recently, COVID‐19 are common lung diseases affecting nearly 7.4% of world population. Pulmonary imaging has been widely investigated toward improving our understanding of disease etiologies and early diagnosis and assessment of disease progression and clinical outcomes. DL has been broadly applied to solve various pulmonary image processing challenges including classification, recognition, registration, and segmentation. This article presents a survey of pulmonary diseases, roles of imaging in translational and clinical pulmonary research, and applications of different DL architectures and methods in pulmonary imaging with emphasis on DL‐based segmentation of major pulmonary anatomies such as lung volumes, lung lobes, pulmonary vessels, and airways as well as thoracic musculoskeletal anatomies related to pulmonary diseases. This article is categorized under:Application Areas > Health CareTechnologies > Artificial IntelligenceTechnologies > Computational IntelligenceApplication Areas > Science and Technology [ABSTRACT FROM AUTHOR]

Published
2023
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22. Fuzzy Skeletonization Improves the Performance of Characterizing Trabecular Bone Micro-architecture

Author

Chen, Cheng, Jin, Dakai, Saha, Punam K., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Bebis, George, editor, Boyle, Richard, editor, Parvin, Bahram, editor, Koracin, Darko, editor, Pavlidis, Ioannis, editor, Feris, Rogerio, editor, McGraw, Tim, editor, Elendt, Mark, editor, Kopper, Regis, editor, Ragan, Eric, editor, Ye, Zhao, editor, and Weber, Gunther, editor

Published
2015
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23. Multi-scale Opening – A New Morphological Operator

Author

Basu, Subhadip, Hoffman, Eric, Saha, Punam K., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Murino, Vittorio, editor, and Puppo, Enrico, editor

Published
2015
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24. Filtering Non-Significant Quench Points Using Collision Impact in Grassfire Propagation

Author

Jin, Dakai, Chen, Cheng, Saha, Punam K., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Murino, Vittorio, editor, and Puppo, Enrico, editor

Published
2015
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27. Volumetric Topological Analysis on In Vivo Trabecular Bone Magnetic Resonance Imaging

Author

Chen, Cheng, Jin, Dakai, Liu, Yinxiao, Wehrli, Felix W., Chang, Gregory, Snyder, Peter J., Regatte, Ravinder R., Saha, Punam K., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Bebis, George, editor, Boyle, Richard, editor, Parvin, Bahram, editor, Koracin, Darko, editor, McMahan, Ryan, editor, Jerald, Jason, editor, Zhang, Hui, editor, Drucker, Steven M., editor, Kambhamettu, Chandra, editor, El Choubassi, Maha, editor, Deng, Zhigang, editor, and Carlson, Mark, editor

Published
2014
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28. Automated Assessment of Pulmonary Arterial Morphology in Multi-row Detector CT Imaging Using Correspondence with Anatomic Airway Branches

Author

Jin, Dakai, Iyer, Krishna S., Hoffman, Eric A., Saha, Punam K., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Bebis, George, editor, Boyle, Richard, editor, Parvin, Bahram, editor, Koracin, Darko, editor, McMahan, Ryan, editor, Jerald, Jason, editor, Zhang, Hui, editor, Drucker, Steven M., editor, Kambhamettu, Chandra, editor, El Choubassi, Maha, editor, Deng, Zhigang, editor, and Carlson, Mark, editor

Published
2014
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29. The Minimum Barrier Distance – Stability to Seed Point Position

Author

Strand, Robin, Malmberg, Filip, Saha, Punam K., Linnér, Elisabeth, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Barcucci, Elena, editor, Frosini, Andrea, editor, and Rinaldi, Simone, editor

Published
2014
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35. Fuzzy Digital Topology and Geometry and Their Applications to Medical Imaging

Author

Saha, Punam K., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Maji, Pradipta, editor, Ghosh, Ashish, editor, Murty, M. Narasimha, editor, Ghosh, Kuntal, editor, and Pal, Sankar K., editor

Published
2013
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36. A New Algorithm for Cortical Bone Segmentation with Its Validation and Applications to In Vivo Imaging

Author

Li, Cheng, Jin, Dakai, Burns, Trudy L., Torner, James C., Levy, Steven M., Saha, Punam K., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Petrosino, Alfredo, editor

Published
2013
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37. A New Fuzzy Skeletonization Algorithm and Its Applications to Medical Imaging

Author

Jin, Dakai, Saha, Punam K., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Petrosino, Alfredo, editor

Published
2013
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38. Quantitative Characterization of Trabecular Bone Micro-architecture Using Tensor Scale and Multi-Detector CT Imaging

Author

Liu, Yinxiao, Saha, Punam K., Xu, Ziyue, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Ayache, Nicholas, editor, Delingette, Hervé, editor, Golland, Polina, editor, and Mori, Kensaku, editor

Published
2012
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39. Multi-scale Topo-morphometric Opening of Arteries and Veins: An Evaluative Study via Pulmonary CT Imaging

Author

Gao, Zhiyun, Holtze, Colin, Grout, Randall, Sonka, Milan, Hoffman, Eric, Saha, Punam K., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Bebis, George, editor, Boyle, Richard, editor, Parvin, Bahram, editor, Koracin, Darko, editor, Chung, Ronald, editor, Hammound, Riad, editor, Hussain, Muhammad, editor, Kar-Han, Tan, editor, Crawfis, Roger, editor, Thalmann, Daniel, editor, Kao, David, editor, and Avila, Lisa, editor

Published
2010
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40. Graph Search with Appearance and Shape Information for 3-D Prostate and Bladder Segmentation

Author

Song, Qi, Liu, Yinxiao, Liu, Yunlong, Saha, Punam K., Sonka, Milan, Wu, Xiaodong, Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Jiang, Tianzi, editor, Navab, Nassir, editor, Pluim, Josien P. W., editor, and Viergever, Max A., editor

Published
2010
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46. Contributors

Author

Bai, Xiang, primary, Bengtsson, Ewert, additional, Bertrand, Gilles, additional, Bloch, Isabelle, additional, Borgefors, Gunilla, additional, Chen, Cheng, additional, Couprie, Michel, additional, Fagertun, Jens, additional, Falcão, Alexandre, additional, Feng, Cong, additional, Frimmel, Hans, additional, Gil, Debora, additional, González Ballester, Miguel Á., additional, Hoffman, Eric A., additional, Jalba, Andrei, additional, Jin, Dakai, additional, Kjer, H.M., additional, Koehoorn, Joost, additional, Kong, T.Y., additional, Kustra, Jacek, additional, Lidayová, Kristína, additional, Paulsen, Rasmus R., additional, Saha, Punam K., additional, Sanniti di Baja, Gabriella, additional, Serino, Luca, additional, Shen, Wei, additional, Smedby, Örjan, additional, Telea, Alexandru, additional, Vera, Sergio, additional, Wang, Chunliang, additional, Wang, Yan, additional, Yuan, Jiang, additional, Zhang, Zhijiang, additional, and Zhao, Kai, additional

Published
2017
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