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1. The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI

Author

de Verdier, Maria Correia, Saluja, Rachit, Gagnon, Louis, LaBella, Dominic, Baid, Ujjwall, Tahon, Nourel Hoda, Foltyn-Dumitru, Martha, Zhang, Jikai, Alafif, Maram, Baig, Saif, Chang, Ken, D'Anna, Gennaro, Deptula, Lisa, Gupta, Diviya, Haider, Muhammad Ammar, Hussain, Ali, Iv, Michael, Kontzialis, Marinos, Manning, Paul, Moodi, Farzan, Nunes, Teresa, Simon, Aaron, Sollmann, Nico, Vu, David, Adewole, Maruf, Albrecht, Jake, Anazodo, Udunna, Chai, Rongrong, Chung, Verena, Faghani, Shahriar, Farahani, Keyvan, Kazerooni, Anahita Fathi, Iglesias, Eugenio, Kofler, Florian, Li, Hongwei, Linguraru, Marius George, Menze, Bjoern, Moawad, Ahmed W., Velichko, Yury, Wiestler, Benedikt, Altes, Talissa, Basavasagar, Patil, Bendszus, Martin, Brugnara, Gianluca, Cho, Jaeyoung, Dhemesh, Yaseen, Fields, Brandon K. K., Garrett, Filip, Gass, Jaime, Hadjiiski, Lubomir, Hattangadi-Gluth, Jona, Hess, Christopher, Houk, Jessica L., Isufi, Edvin, Layfield, Lester J., Mastorakos, George, Mongan, John, Nedelec, Pierre, Nguyen, Uyen, Oliva, Sebastian, Pease, Matthew W., Rastogi, Aditya, Sinclair, Jason, Smith, Robert X., Sugrue, Leo P., Thacker, Jonathan, Vidic, Igor, Villanueva-Meyer, Javier, White, Nathan S., Aboian, Mariam, Conte, Gian Marco, Dale, Anders, Sabuncu, Mert R., Seibert, Tyler M., Weinberg, Brent, Abayazeed, Aly, Huang, Raymond, Turk, Sevcan, Rauschecker, Andreas M., Farid, Nikdokht, Vollmuth, Philipp, Nada, Ayman, Bakas, Spyridon, Calabrese, Evan, and Rudie, Jeffrey D.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Gliomas are the most common malignant primary brain tumors in adults and one of the deadliest types of cancer. There are many challenges in treatment and monitoring due to the genetic diversity and high intrinsic heterogeneity in appearance, shape, histology, and treatment response. Treatments include surgery, radiation, and systemic therapies, with magnetic resonance imaging (MRI) playing a key role in treatment planning and post-treatment longitudinal assessment. The 2024 Brain Tumor Segmentation (BraTS) challenge on post-treatment glioma MRI will provide a community standard and benchmark for state-of-the-art automated segmentation models based on the largest expert-annotated post-treatment glioma MRI dataset. Challenge competitors will develop automated segmentation models to predict four distinct tumor sub-regions consisting of enhancing tissue (ET), surrounding non-enhancing T2/fluid-attenuated inversion recovery (FLAIR) hyperintensity (SNFH), non-enhancing tumor core (NETC), and resection cavity (RC). Models will be evaluated on separate validation and test datasets using standardized performance metrics utilized across the BraTS 2024 cluster of challenges, including lesion-wise Dice Similarity Coefficient and Hausdorff Distance. Models developed during this challenge will advance the field of automated MRI segmentation and contribute to their integration into clinical practice, ultimately enhancing patient care., Comment: 10 pages, 4 figures, 1 table

Published
2024

4. The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI

Author

Moawad, Ahmed W., Janas, Anastasia, Baid, Ujjwal, Ramakrishnan, Divya, Saluja, Rachit, Ashraf, Nader, Jekel, Leon, Amiruddin, Raisa, Adewole, Maruf, Albrecht, Jake, Anazodo, Udunna, Aneja, Sanjay, Anwar, Syed Muhammad, Bergquist, Timothy, Calabrese, Evan, Chiang, Veronica, Chung, Verena, Conte, Gian Marco Marco, Dako, Farouk, Eddy, James, Ezhov, Ivan, Familiar, Ariana, Farahani, Keyvan, Iglesias, Juan Eugenio, Jiang, Zhifan, Johanson, Elaine, Kazerooni, Anahita Fathi, Kofler, Florian, Krantchev, Kiril, LaBella, Dominic, Van Leemput, Koen, Li, Hongwei Bran, Linguraru, Marius George, Link, Katherine E., Liu, Xinyang, Maleki, Nazanin, Meier, Zeke, Menze, Bjoern H, Moy, Harrison, Osenberg, Klara, Piraud, Marie, Reitman, Zachary, Shinohara, Russel Takeshi, Tahon, Nourel hoda, Nada, Ayman, Velichko, Yuri S., Wang, Chunhao, Wiestler, Benedikt, Wiggins, Walter, Shafique, Umber, Willms, Klara, Avesta, Arman, Bousabarah, Khaled, Chakrabarty, Satrajit, Gennaro, Nicolo, Holler, Wolfgang, Kaur, Manpreet, LaMontagne, Pamela, Lin, MingDe, Lost, Jan, Marcus, Daniel S., Maresca, Ryan, Merkaj, Sarah, Nada, Ayaman, Pedersen, Gabriel Cassinelli, von Reppert, Marc, Sotiras, Aristeidis, Teytelboym, Oleg, Tillmans, Niklas, Westerhoff, Malte, Youssef, Ayda, Godfrey, Devon, Floyd, Scott, Rauschecker, Andreas, Villanueva-Meyer, Javier, Pflüger, Irada, Cho, Jaeyoung, Bendszus, Martin, Brugnara, Gianluca, Cramer, Justin, Perez-Carillo, Gloria J. Guzman, Johnson, Derek R., Kam, Anthony, Kwan, Benjamin Yin Ming, Lai, Lillian, Lall, Neil U., Memon, Fatima, Patro, Satya Narayana, Petrovic, Bojan, So, Tiffany Y., Thompson, Gerard, Wu, Lei, Schrickel, E. Brooke, Bansal, Anu, Barkhof, Frederik, Besada, Cristina, Chu, Sammy, Druzgal, Jason, Dusoi, Alexandru, Farage, Luciano, Feltrin, Fabricio, Fong, Amy, Fung, Steve H., Gray, R. Ian, Ikuta, Ichiro, Iv, Michael, Postma, Alida A., Mahajan, Amit, Joyner, David, Krumpelman, Chase, Letourneau-Guillon, Laurent, Lincoln, Christie M., Maros, Mate E., Miller, Elka, Morón, Fanny, Nimchinsky, Esther A., Ozsarlak, Ozkan, Patel, Uresh, Rohatgi, Saurabh, Saha, Atin, Sayah, Anousheh, Schwartz, Eric D., Shih, Robert, Shiroishi, Mark S., Small, Juan E., Tanwar, Manoj, Valerie, Jewels, Weinberg, Brent D., White, Matthew L., Young, Robert, Zohrabian, Vahe M., Azizova, Aynur, Brüßeler, Melanie Maria Theresa, Fehringer, Pascal, Ghonim, Mohanad, Ghonim, Mohamed, Gkampenis, Athanasios, Okar, Abdullah, Pasquini, Luca, Sharifi, Yasaman, Singh, Gagandeep, Sollmann, Nico, Soumala, Theodora, Taherzadeh, Mahsa, Yordanov, Nikolay, Vollmuth, Philipp, Foltyn-Dumitru, Martha, Malhotra, Ajay, Abayazeed, Aly H., Dellepiane, Francesco, Lohmann, Philipp, Pérez-García, Víctor M., Elhalawani, Hesham, Al-Rubaiey, Sanaria, Armindo, Rui Duarte, Ashraf, Kholod, Asla, Moamen M., Badawy, Mohamed, Bisschop, Jeroen, Lomer, Nima Broomand, Bukatz, Jan, Chen, Jim, Cimflova, Petra, Corr, Felix, Crawley, Alexis, Deptula, Lisa, Elakhdar, Tasneem, Shawali, Islam H., Faghani, Shahriar, Frick, Alexandra, Gulati, Vaibhav, Haider, Muhammad Ammar, Hierro, Fátima, Dahl, Rasmus Holmboe, Jacobs, Sarah Maria, Hsieh, Kuang-chun Jim, Kandemirli, Sedat G., Kersting, Katharina, Kida, Laura, Kollia, Sofia, Koukoulithras, Ioannis, Li, Xiao, Abouelatta, Ahmed, Mansour, Aya, Maria-Zamfirescu, Ruxandra-Catrinel, Marsiglia, Marcela, Mateo-Camacho, Yohana Sarahi, McArthur, Mark, McDonnell, Olivia, McHugh, Maire, Moassefi, Mana, Morsi, Samah Mostafa, Muntenu, Alexander, Nandolia, Khanak K., Naqvi, Syed Raza, Nikanpour, Yalda, Alnoury, Mostafa, Nouh, Abdullah Mohamed Aly, Pappafava, Francesca, Patel, Markand D., Petrucci, Samantha, Rawie, Eric, Raymond, Scott, Roohani, Borna, Sabouhi, Sadeq, Sanchez-Garcia, Laura M., Shaked, Zoe, Suthar, Pokhraj P., Altes, Talissa, Isufi, Edvin, Dhermesh, Yaseen, Gass, Jaime, Thacker, Jonathan, Tarabishy, Abdul Rahman, Turner, Benjamin, Vacca, Sebastiano, Vilanilam, George K., Warren, Daniel, Weiss, David, Worede, Fikadu, Yousry, Sara, Lerebo, Wondwossen, Aristizabal, Alejandro, Karargyris, Alexandros, Kassem, Hasan, Pati, Sarthak, Sheller, Micah, Bakas, Spyridon, Rudie, Jeffrey D., and Aboian, Mariam

Subjects
Quantitative Biology - Other Quantitative Biology, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

The translation of AI-generated brain metastases (BM) segmentation into clinical practice relies heavily on diverse, high-quality annotated medical imaging datasets. The BraTS-METS 2023 challenge has gained momentum for testing and benchmarking algorithms using rigorously annotated internationally compiled real-world datasets. This study presents the results of the segmentation challenge and characterizes the challenging cases that impacted the performance of the winning algorithms. Untreated brain metastases on standard anatomic MRI sequences (T1, T2, FLAIR, T1PG) from eight contributed international datasets were annotated in stepwise method: published UNET algorithms, student, neuroradiologist, final approver neuroradiologist. Segmentations were ranked based on lesion-wise Dice and Hausdorff distance (HD95) scores. False positives (FP) and false negatives (FN) were rigorously penalized, receiving a score of 0 for Dice and a fixed penalty of 374 for HD95. Eight datasets comprising 1303 studies were annotated, with 402 studies (3076 lesions) released on Synapse as publicly available datasets to challenge competitors. Additionally, 31 studies (139 lesions) were held out for validation, and 59 studies (218 lesions) were used for testing. Segmentation accuracy was measured as rank across subjects, with the winning team achieving a LesionWise mean score of 7.9. Common errors among the leading teams included false negatives for small lesions and misregistration of masks in space.The BraTS-METS 2023 challenge successfully curated well-annotated, diverse datasets and identified common errors, facilitating the translation of BM segmentation across varied clinical environments and providing personalized volumetric reports to patients undergoing BM treatment.

Published
2023

8. Tumor biomechanics as a novel imaging biomarker to assess response to immunotherapy in a murine glioma model

Author

Streibel, Yannik, Breckwoldt, Michael O., Hunger, Jessica, Pan, Chenchen, Fischer, Manuel, Turco, Verena, Boztepe, Berin, Fels-Palesandro, Hannah, Scheck, Jonas G., Sturm, Volker, Karimian-Jazi, Kianush, Agardy, Dennis A., Annio, Giacomo, Mustapha, Rami, Soni, Shreya S., Alasa, Abdulrahman, Weidenfeld, Ina, Rodell, Christopher B., Wick, Wolfgang, Heiland, Sabine, Winkler, Frank, Platten, Michael, Bendszus, Martin, Sinkus, Ralph, and Schregel, Katharina

Published
2024
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15. Association of Small Fiber Function with Microvascular Perfusion of Peripheral Nerves in Patients with Type 2 Diabetes: Study using Quantitative Sensory Testing and Magnetic Resonance Neurography

Author

Mooshage, Christoph M., Schimpfle, Lukas, Kender, Zoltan, Tsilingiris, Dimitrios, Aziz-Safaie, Taraneh, Hohmann, Anja, Szendroedi, Julia, Nawroth, Peter, Sturm, Volker, Heiland, Sabine, Bendszus, Martin, Kopf, Stefan, Kurz, Felix T., and Jende, Johann M. E.

Published
2024
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18. Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke

Author

Brugnara, Gianluca, primary, Baumgartner, Michael, additional, Scholze, Edwin D., additional, Deike-Hofmann, Katerina, additional, Kades, Klaus, additional, Scherer, Jonas, additional, Denner, Stefan, additional, Meredig, Hagen, additional, Rastogi, Aditya, additional, Mahmutoglu, Mustafa A., additional, Ulfert, Christian, additional, Neuberger, Ulf, additional, Schönenberger, Silvia, additional, Schlamp, Kai, additional, Bendella, Zeynep, additional, Pinetz, Thomas, additional, Schmeel, Carsten, additional, Wick, Wolfgang, additional, Ringleb, Peter A., additional, Floca, Ralf, additional, Möhlenbruch, Markus, additional, Radbruch, Alexander, additional, Bendszus, Martin, additional, Maier-Hein, Klaus, additional, and Vollmuth, Philipp, additional

Published
2024
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19. Artificial intelligence (AI)-based decision support improves reproducibility of tumor response assessment in neuro-oncology: An international multi-reader study

Author

Vollmuth, Philipp, Foltyn, Martha, Huang, Raymond Y, Galldiks, Norbert, Petersen, Jens, Isensee, Fabian, van den Bent, Martin J, Barkhof, Frederik, Park, Ji Eun, Park, Yae Won, Ahn, Sung Soo, Brugnara, Gianluca, Meredig, Hagen, Jain, Rajan, Smits, Marion, Pope, Whitney B, Maier-Hein, Klaus, Weller, Michael, Wen, Patrick Y, Wick, Wolfgang, and Bendszus, Martin

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Oncology and Carcinogenesis, Rare Diseases, Neurosciences, Brain Cancer, Clinical Research, Brain Disorders, Cancer, Humans, Glioblastoma, Brain Neoplasms, Artificial Intelligence, Reproducibility of Results, Glioma, Artificial intelligence (AI)-based decision support, RANO, tumor response assessment, tumor volumetry, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundTo assess whether artificial intelligence (AI)-based decision support allows more reproducible and standardized assessment of treatment response on MRI in neuro-oncology as compared to manual 2-dimensional measurements of tumor burden using the Response Assessment in Neuro-Oncology (RANO) criteria.MethodsA series of 30 patients (15 lower-grade gliomas, 15 glioblastoma) with availability of consecutive MRI scans was selected. The time to progression (TTP) on MRI was separately evaluated for each patient by 15 investigators over two rounds. In the first round the TTP was evaluated based on the RANO criteria, whereas in the second round the TTP was evaluated by incorporating additional information from AI-enhanced MRI sequences depicting the longitudinal changes in tumor volumes. The agreement of the TTP measurements between investigators was evaluated using concordance correlation coefficients (CCC) with confidence intervals (CI) and P-values obtained using bootstrap resampling.ResultsThe CCC of TTP-measurements between investigators was 0.77 (95% CI = 0.69,0.88) with RANO alone and increased to 0.91 (95% CI = 0.82,0.95) with AI-based decision support (P = .005). This effect was significantly greater (P = .008) for patients with lower-grade gliomas (CCC = 0.70 [95% CI = 0.56,0.85] without vs. 0.90 [95% CI = 0.76,0.95] with AI-based decision support) as compared to glioblastoma (CCC = 0.83 [95% CI = 0.75,0.92] without vs. 0.86 [95% CI = 0.78,0.93] with AI-based decision support). Investigators with less years of experience judged the AI-based decision as more helpful (P = .02).ConclusionsAI-based decision support has the potential to yield more reproducible and standardized assessment of treatment response in neuro-oncology as compared to manual 2-dimensional measurements of tumor burden, particularly in patients with lower-grade gliomas. A fully-functional version of this AI-based processing pipeline is provided as open-source (https://github.com/NeuroAI-HD/HD-GLIO-XNAT).

Published
2023

20. A H3K27M-targeted vaccine in adults with diffuse midline glioma

Author

Grassl, Niklas, Poschke, Isabel, Lindner, Katharina, Bunse, Lukas, Mildenberger, Iris, Boschert, Tamara, Jähne, Kristine, Green, Edward W., Hülsmeyer, Ingrid, Jünger, Simone, Kessler, Tobias, Suwala, Abigail K., Eisele, Philipp, Breckwoldt, Michael O., Vajkoczy, Peter, Grauer, Oliver M., Herrlinger, Ulrich, Tonn, Joerg-Christian, Denk, Monika, Sahm, Felix, Bendszus, Martin, von Deimling, Andreas, Winkler, Frank, Wick, Wolfgang, Platten, Michael, and Sahm, Katharina

Published
2023
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21. Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Author

Pati, Sarthak, Baid, Ujjwal, Edwards, Brandon, Sheller, Micah, Wang, Shih-Han, Reina, G Anthony, Foley, Patrick, Gruzdev, Alexey, Karkada, Deepthi, Davatzikos, Christos, Sako, Chiharu, Ghodasara, Satyam, Bilello, Michel, Mohan, Suyash, Vollmuth, Philipp, Brugnara, Gianluca, Preetha, Chandrakanth J, Sahm, Felix, Maier-Hein, Klaus, Zenk, Maximilian, Bendszus, Martin, Wick, Wolfgang, Calabrese, Evan, Rudie, Jeffrey, Villanueva-Meyer, Javier, Cha, Soonmee, Ingalhalikar, Madhura, Jadhav, Manali, Pandey, Umang, Saini, Jitender, Garrett, John, Larson, Matthew, Jeraj, Robert, Currie, Stuart, Frood, Russell, Fatania, Kavi, Huang, Raymond Y, Chang, Ken, Balana, Carmen, Capellades, Jaume, Puig, Josep, Trenkler, Johannes, Pichler, Josef, Necker, Georg, Haunschmidt, Andreas, Meckel, Stephan, Shukla, Gaurav, Liem, Spencer, Alexander, Gregory S, Lombardo, Joseph, Palmer, Joshua D, Flanders, Adam E, Dicker, Adam P, Sair, Haris I, Jones, Craig K, Venkataraman, Archana, Jiang, Meirui, So, Tiffany Y, Chen, Cheng, Heng, Pheng Ann, Dou, Qi, Kozubek, Michal, Lux, Filip, Michálek, Jan, Matula, Petr, Keřkovský, Miloš, Kopřivová, Tereza, Dostál, Marek, Vybíhal, Václav, Vogelbaum, Michael A, Mitchell, J Ross, Farinhas, Joaquim, Maldjian, Joseph A, Yogananda, Chandan Ganesh Bangalore, Pinho, Marco C, Reddy, Divya, Holcomb, James, Wagner, Benjamin C, Ellingson, Benjamin M, Cloughesy, Timothy F, Raymond, Catalina, Oughourlian, Talia, Hagiwara, Akifumi, Wang, Chencai, To, Minh-Son, Bhardwaj, Sargam, Chong, Chee, Agzarian, Marc, Falcão, Alexandre Xavier, Martins, Samuel B, Teixeira, Bernardo C A, Sprenger, Flávia, Menotti, David, Lucio, Diego R, LaMontagne, Pamela, Marcus, Daniel, Wiestler, Benedikt, Kofler, Florian, Ezhov, Ivan, Metz, Marie, Jain, Rajan, Lee, Matthew, Lui, Yvonne W, McKinley, Richard, Slotboom, Johannes, Radojewski, Piotr, Meier, Raphael, Wiest, Roland, Murcia, Derrick, Fu, Eric, Haas, Rourke, Thompson, John, Ormond, David Ryan, Badve, Chaitra, Sloan, Andrew E, Vadmal, Vachan, Waite, Kristin, Colen, Rivka R, Pei, Linmin, Ak, Murat, Srinivasan, Ashok, Bapuraj, J Rajiv, Rao, Arvind, Wang, Nicholas, Yoshiaki, Ota, Moritani, Toshio, Turk, Sevcan, Lee, Joonsang, Prabhudesai, Snehal, Morón, Fanny, Mandel, Jacob, Kamnitsas, Konstantinos, Glocker, Ben, Dixon, Luke V M, Williams, Matthew, Zampakis, Peter, Panagiotopoulos, Vasileios, Tsiganos, Panagiotis, Alexiou, Sotiris, Haliassos, Ilias, Zacharaki, Evangelia I, Moustakas, Konstantinos, Kalogeropoulou, Christina, Kardamakis, Dimitrios M, Choi, Yoon Seong, Lee, Seung-Koo, Chang, Jong Hee, Ahn, Sung Soo, Luo, Bing, Poisson, Laila, Wen, Ning, Tiwari, Pallavi, Verma, Ruchika, Bareja, Rohan, Yadav, Ipsa, Chen, Jonathan, Kumar, Neeraj, Smits, Marion, van der Voort, Sebastian R, Alafandi, Ahmed, Incekara, Fatih, Wijnenga, Maarten MJ, Kapsas, Georgios, Gahrmann, Renske, Schouten, Joost W, Dubbink, Hendrikus J, Vincent, Arnaud JPE, Bent, Martin J van den, French, Pim J, Klein, Stefan, Yuan, Yading, Sharma, Sonam, Tseng, Tzu-Chi, Adabi, Saba, Niclou, Simone P, Keunen, Olivier, Hau, Ann-Christin, Vallières, Martin, Fortin, David, Lepage, Martin, Landman, Bennett, Ramadass, Karthik, Xu, Kaiwen, Chotai, Silky, Chambless, Lola B, Mistry, Akshitkumar, Thompson, Reid C, Gusev, Yuriy, Bhuvaneshwar, Krithika, Sayah, Anousheh, Bencheqroun, Camelia, Belouali, Anas, Madhavan, Subha, Booth, Thomas C, Chelliah, Alysha, Modat, Marc, Shuaib, Haris, Dragos, Carmen, Abayazeed, Aly, Kolodziej, Kenneth, Hill, Michael, Abbassy, Ahmed, Gamal, Shady, Mekhaimar, Mahmoud, Qayati, Mohamed, Reyes, Mauricio, Park, Ji Eun, Yun, Jihye, Kim, Ho Sung, Mahajan, Abhishek, Muzi, Mark, Benson, Sean, Beets-Tan, Regina G H, Teuwen, Jonas, Herrera-Trujillo, Alejandro, Trujillo, Maria, Escobar, William, Abello, Ana, Bernal, Jose, Gómez, Jhon, Choi, Joseph, Baek, Stephen, Kim, Yusung, Ismael, Heba, Allen, Bryan, Buatti, John M, Kotrotsou, Aikaterini, Li, Hongwei, Weiss, Tobias, Weller, Michael, Bink, Andrea, Pouymayou, Bertrand, Shaykh, Hassan F, Saltz, Joel, Prasanna, Prateek, Shrestha, Sampurna, Mani, Kartik M, Payne, David, Kurc, Tahsin, Pelaez, Enrique, Franco-Maldonado, Heydy, Loayza, Francis, Quevedo, Sebastian, Guevara, Pamela, Torche, Esteban, Mendoza, Cristobal, Vera, Franco, Ríos, Elvis, López, Eduardo, Velastin, Sergio A, Ogbole, Godwin, Oyekunle, Dotun, Odafe-Oyibotha, Olubunmi, Osobu, Babatunde, Shu'aibu, Mustapha, Dorcas, Adeleye, Soneye, Mayowa, Dako, Farouk, Simpson, Amber L, Hamghalam, Mohammad, Peoples, Jacob J, Hu, Ricky, Tran, Anh, Cutler, Danielle, Moraes, Fabio Y, Boss, Michael A, Gimpel, James, Veettil, Deepak Kattil, Schmidt, Kendall, Bialecki, Brian, Marella, Sailaja, Price, Cynthia, Cimino, Lisa, Apgar, Charles, Shah, Prashant, Menze, Bjoern, Barnholtz-Sloan, Jill S, Martin, Jason, and Bakas, Spyridon

Subjects
Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally sharing ample, and importantly diverse, data from multiple sites. However, such centralization is challenging to scale (or even not feasible) due to various limitations. Federated ML (FL) provides an alternative to train accurate and generalizable ML models, by only sharing numerical model updates. Here we present findings from the largest FL study to-date, involving data from 71 healthcare institutions across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, utilizing the largest dataset of such patients ever used in the literature (25,256 MRI scans from 6,314 patients). We demonstrate a 33% improvement over a publicly trained model to delineate the surgically targetable tumor, and 23% improvement over the tumor's entire extent. We anticipate our study to: 1) enable more studies in healthcare informed by large and diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further quantitative analyses for glioblastoma via performance optimization of our consensus model for eventual public release, and 3) demonstrate the effectiveness of FL at such scale and task complexity as a paradigm shift for multi-site collaborations, alleviating the need for data sharing., Comment: federated learning, deep learning, convolutional neural network, segmentation, brain tumor, glioma, glioblastoma, FeTS, BraTS

Published
2022
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22. Endovascular thrombectomy for acute ischaemic stroke with established large infarct (TENSION): 12-month outcomes of a multicentre, open-label, randomised trial

Author

Aamodt, Anne Hege, Adamczewski, Olaf, Alektoror, Kirill, Alexander, März, Alexandrou, Maria, Alias, Quentin, Al-Kuzae, Fadha Elawi, Allard, Julien, Al-Schameri, Rahman, Álvarez, Alberto, Andersen, Grethe, AnkerlundBlaufeldt, Rolf, Antje, Riedel, Appelbohm, Hannes, Argren, Maria, Assmann, Anne, Augustin, Michael, Bach, Elke, Bar, Michal, Barleben, Maria, Baronnet, Flore, Barrios, Andrés, Bavúzová, Xénia, BayThomsen, Rikke, Becker, Sandra, Beer, Sylvia, Behme, Daniel, Bellut, Maximilian, Bendszus, Martin, Berkefeld, Joachim, Bester, Maximillian, Bode, Felix J., Boehme, Christian, Boese, Ramona, Bohmann, Ferdinand, Bonekamp, Susanne, Borggrefe, Jan, Boss, Erendira Gabriela, Boutchakova, Maria, Boxhammer, Elfi, Brandhofe, Annemarie, Breckwoldt, Michael, Brekenfeld, Casper, Brehm, Alex, Brem, Christian, Breuer, Stella, Breyer, Tobias, Brodová, Petra, Broocks, Gabriel, Brosinski, Christoph, Bubel, Nele, Búřil, Jiří, Čábal, Martin, Casado, Laura, de Celis, Elena, Chabert, Emmanuel, Charisse, Daniel, Cheng, Bastian, Chovanec, Vendelín, Cidlinsky, Peter, Cisár, Juraj, Clarençon, Fréderic, Crozier, Sophie, Čurdová, Nina, Damaskinos, Michele, Damgaard, Dorte, Daniš, Martin, Dazinger, Florian, Deb-Chatterji, Milani, Delalic, Asima, Delekta, Agnieszka, Delorme, Stephen, Deutschmann, Hannes, Diamandis, Elie, Diedrichsen, Tove, Doležalová, Irena, Dorn, Franziska, du Mesnil de Rochemont, Richard, DupontHougaard, Kristina, Ebrahimi, Taraneh, Eff, Florian, Eliášová, Ilona, Enriquez, Brian, Ergawy, Mostafa, Essig, Fabian, Falkesgaard, Maiken, Fandler-Höfler, Simon, Fernández, Andrés, Ferré, Jean-Christophe, Ferrier, Anna, Fiehler, Jens, Figlewski, Krystian, Fischer, Sebastian, Fischer, Urs, Flottmann, Fabian, Forbrig, Robert, Förch, Christian, Fromm, Annette, Fuentes, Blanca, Gaedke, Ines, Galczak, Romana, Galijasevic, Malik, Ganser, Bernhard, Gattringer, Thomas, Gawlitza, Matthias, Gelhard, Sarah, Gellißen, Susanne, Gerber, Johannes, Giannakakis, Michail Panagiotis, Gindlhuber, Karin, Gizewski, Elke R., Glodny, Bernhard, Godel, Tim, Goebell, Einar, Goldemund, David, Görtler, Michael, Goyal, Mayank, Grams, Astrid E., Gruber, Joachim, Gruber, Katharina, Günthner-Lengsfeld, Thomas, Haase, Kathrin, Hacker-Ivan, Floriana, Hallerstig, Erika, Hametner, Christian, Hanning, Uta, Haring, Jozef, Haršány, Michal, Haršány, Ján, Hartmann, Christian, Hassler, Eva Maria, Hauptmann, Kristina, Haeusler, Karl Georg, Hecker, Constantin, Hellstern, Victoria, Henkes, Hans, Hernández, Victoria, Herweh, Christian, Hilgenfeld, Tim, Hill, Michael D., Hjort, Niels, HjortJensen, Nina, Hoelter, Maya, Hoffmann, Karl-Titus, Holst, Brigitte, Holtmannspoetter, Markus, Hopf-Jensen, Silke, Hoppe, Julia, Horner, Susanne, HougaardSoerensen, Leif, Hua, Vi Tuan, Hubert, Alexander, Hurtíková, Eva, Jakubíček, Stanislava, Janjic, Tanja, Jaramillo, Kirsten, Jedlitschka, Angela, Jensen, Schiela, Jensen, Märit, Jesser, Jessica, Jestaedt, Leonie, Johnson, Sabine, Jonszta, Tomáš, Kalmar, Peter, Karabegovic, Sanja, Karen, Kollo, Kastrup, Andreas, Katja, Hopp, Keeba, Natalia, Keese, Petra, Kefaloykos, Christina, Keil, Fee, Kellert, Lars, Kellinghaus, Christoph, Kestner, Roxane-Isabelle, Kiechl, Stefan, Killer-Oberpfalzer, Monika, Klepanec, Andrej, Knispel, Casjupea, Knoflach, Michael, Kohler, Sabine, Kohlhase, Konstantin, Kollikowski, Alexander Marco, Kovář, Martin, Krajina, Antonín, Kral, Michael, Krastev, Georgi, Krause, Lars Udo, Kreidenhuber, Rudolf, Křivka, Tomáš, Krkoška, Adam, Kröger, Jan Robert, Kronlage, Moritz, Krukowski, Pawel, Kühn, Julia, Kurča, Egon, Kurka, Natalia, Kuschnerow, Michael, Lachmund, Rita, Lamprecht, Susanne, Lange, Rüdiger, Lauer, Monika, de Leciñana, Alonso, Leder, Sara, Leger, Anne, Lehnen, Nils, Lehrieder, Dominik, Leißner, Maximilian, Leitinger, Markus, Leitner, Ursula, Lenck, Stéphanie, Lenzenweger, Eva, Liebig, Thomas, Lowens, Stephan, Lunzer, Manuel, Maegerlein, Christian, Magyar, Marton, Marques, Leonardo, Matyáš, David, Maurer, Gabriele, Mauritz, Matthias, Maximilian, Thormann, Mayer-Süß, Lukas, Meckel, Stephan, Medek, Oldřich, Meissner, Julius N., Mencl, Pavel, Merkle, Andrea, Mesche, Birte, Michalski, Dominik, Mikulík, Robert, Modrau, Boris, Möhlenbruch, Markus A., Mohr, Alexander, Mönninghoff, Christoph, Moser, Tobias, Mücke, Ramona, Müller-Hülsbeck, Stefan, Müller-Thies-Broussalis, Erasmia, Mutzenbach, Sebastian, Navia, Pedro, Neuberger, Ulf, Neugebauer, Hermann, Neumann, Jens, Nguyên, Anh, Niederkorn, Kurt, Nosál', Vladimír, Novobilský, Richard, Ntoulias, Nikos, Nussbaum, Lukas, Oder, Joanna, Oldag, Andreas, Ondrejkovič, Marián, Otto, Ferdinand, Otto, Dagmar, Paech, Daniel, Pagano, Paolo, Pallesen, Lars-Peder, Panský, Michal, Papanagiotou, Panagiotis, Patrick, Samp, Paukisch, Harald, Pelz, Johann, Petersen, Inga, Petersen, Martina, Petzold, Gabor C., Pfaff, Johannes, Pfeilschifter, Waltraud, Pham, Mirko, Pichler, Alexander, Pierot, Laurent, Pikija, Slaven, PlougmannPovlsen, Jan, Polkowski, Christoph, Polomac, Nenad, Portugaller, Rupert Horst, Poulsen, Marika, Preiß, Michael, Premat, Kévin, Prestsæter, Sjur, Prieto-Pérez, Rocio, Psychogios, Marios, Puetz, Volker, Purrucker, Jan, Rai, Heike, Rauch, Maximilian, Raupach, Jan, Reimann, Gernot, Reimann, Georg, Reitz, Sarah, Renc, Ondřej, Retzlaff, Jasmin, Rigual, Ricardo, Ringleb, Peter Arthur, Rivera-Bengoa, Carlota, Rodríguez, Jorge, Rohde, Stefan, Rohler, Siegfried, Rosso, Charlotte, Roth, Christian, Röttcher, Thomas, Roubec, Martin, Roztočilová, Milada, Rudnicka, Svetlana, Ruiz, Gerardo, Ryan, Stephen, Ryckborst, Karla J., Sandvik, Simen, Schäfer, Jan-Hendrik, Schaller-Paule, Martin, Schell, Maximillian, Schellinger, Peter, Schlemm, Eckhard, Schmid, Florian, Schmidt, Christoph, Schmitz, Marie Louise, Schneider, Claus, Scholtz, Jan-Erik, Schönenberger, Silvia, Schröter, Andreas, Schwarz, Daniel, Schwarz, Stephan, Schwarzenhofer, Daniel, Seifert-Held, Thomas, Seiler, Alexander, Seker, Fatih, Shotar, Eimad, Simonsen, Claus Z., Simonsen, Maria Theresa, Sivák, Jozef, Skagen, Karolina, Skjelland, Mona, Šnajdrová, Alena, Solymosi, Lazlo, Sømark, Jesper, Sonnberger, Michael, Soršák, Jakub, Sourour, Nader, Søyland, Jogrim, Spitzer, Daniel, Sporns, Peter, Städt, Michael, Steidl, Eike, Størdal, Anne Margrethe Kaalaas, Stösser, Sebastian, Strickmann, Sarah, Strýček, Ondřej, Suškevič, Igor, Sýkora, Jan, Tennøe, Bjørn, Thaler, Daniela, Theisen, Sara, Thomalla, Götz, Trendafilov, Petar, Trenkler, Johannes, Trumm, Christoph, Tsogkas, Ioannis, Tunold, Jon-Anders, Tveit, Lars, Ulfert, Christian, Vališ, Kateřina, Vaníček, Jiří, Vassilev, Christine, Vítková, Eva, Voit-Höhne, Heinz-Leonhard, Vojtíšek, Bohuslav, Volderauer, Karoline, Vollherbst, Dominik, Vollmuth, Christoph, Volna, Kamila, Volný, Ondřej, VonWeitzel-Mudersbach, Poul, Vorčák, Martin, Wagner, Marlies, Wathle, Gaute Kjellevold, Weber, Werner, Weber, Anushe, Weiss, Viktor, Weller, Johannes M., Wenger-Alakmeh, Katharina, Weyland, Cyrill, Weymayr, Friedrich, Wießpeiner, Ulrike, Willeit, Johannes, Wittwer, Aymeric, Wollenweber, Frank, Wortmann, Ginette, Wunderlich, Silke, Xiong, Yanyan, You, Se-Jong, ZachoSpeiser, Lasse, Zamani, Mahtab, Zelenak, Kamil, Zeleňáková, Jana, Zubel, Seraphine, Subtil, Fabien, Gizewski, Elke R, Hill, Michael D, Krajina, Antonin, Simonsen, Claus Z, Zeleňák, Kamil, Blauenfeldt, Rolf A, Denis, Angélique, Gerber, Johannes C, Keil, Christiane Fee, Mikkelsen, Ronni, Möhlenbruch, Markus, Münnich, Nico, Petzold, Gabor C, Schell, Maximilian, Vollherbst, Dominik F, and Wick, Wolfgang

Published
2024
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24. Long-term neurocognitive function and quality of life after multimodal therapy in adult glioma patients: a prospective long-term follow-up

Author

Pertz, Milena, Schlömer, Sabine, Seidel, Clemens, Hentschel, Bettina, Löffler, Markus, Schackert, Gabriele, Krex, Dietmar, Juratli, Tareq, Tonn, Joerg Christian, Schnell, Oliver, Vatter, Hartmut, Simon, Matthias, Westphal, Manfred, Martens, Tobias, Sabel, Michael, Bendszus, Martin, Dörner, Nils, Wick, Antje, Fliessbach, Klaus, Hoppe, Christian, Klingner, Marcel, Felsberg, Jörg, Reifenberger, Guido, Gramatzki, Dorothee, Weller, Michael, and Schlegel, Uwe

Published
2023
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27. Thrombolysis for Wake-Up Stroke Versus Non–Wake-Up Unwitnessed Stroke: EOS Individual Patient Data Meta-Analysis

Author

Kamogawa, Naruhiko, Miwa, Kaori, Toyoda, Kazunori, Jensen, Märit, Inoue, Manabu, Yoshimura, Sohei, Fukuda-Doi, Mayumi, Kitazono, Takanari, Boutitie, Florent, Ma, Henry, Ringleb, Peter, Wu, Ona, Schwamm, Lee H., Warach, Steven, Hacke, Werner, Davis, Stephen M., Donnan, Geoffrey A., Gerloff, Christian, Thomalla, Götz, Koga, Masatoshi, Cheng, Bastian, Bendszus, Martin, Bladin, Christopher, Churilov, Leonid, Campbell, Brunce, Parsons, Mark, Yassi, Nawaf, Ebinger, Martin, Endres, Matthias, Fiebach, Jochen B., Kleinig, Timothy, Latour, Lawrence, Lemmens, Robin, Levi, Christopher, Leys, Didier, Molina, Carlos, Muir, Keith, Nighoghossian, Norbert, Pedraza, Salvador, Schellinger, Peter D., Schwab, Stefan, Simonsen, Claus Z., Song, Shlee S., Thijs, Vincent, Toni, Danilo, Hsu, Chung Y., and Wahlgren, Nils

Published
2024
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28. Concurrent gliomas in patients with multiple sclerosis

Author

Sahm, Katharina, Kessler, Tobias, Eisele, Philipp, Ratliff, Miriam, Sperk, Elena, König, Laila, Breckwoldt, Michael O., Seliger, Corinna, Mildenberger, Iris, Schrimpf, Daniel, Herold-Mende, Christel, Zeiner, Pia S., Tabatabai, Ghazaleh, Meuth, Sven G., Capper, David, Bendszus, Martin, von Deimling, Andreas, Wick, Wolfgang, Sahm, Felix, and Platten, Michael

Published
2023
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30. INTERCEPT H3: a multicenter phase I peptide vaccine trial for the treatment of H3-mutated diffuse midline gliomas

Author

Grassl, Niklas, Sahm, Katharina, Süße, Heike, Poschke, Isabel, Bunse, Lukas, Bunse, Theresa, Boschert, Tamara, Mildenberger, Iris, Rupp, Anne-Kathleen, Ewinger, Max Philipp, Lanz, Lisa-Marie, Denk, Monika, Tabatabai, Ghazaleh, Ronellenfitsch, Michael W., Herrlinger, Ulrich, Glas, Martin, Krex, Dietmar, Vajkoczy, Peter, Wick, Antje, Harting, Inga, Sahm, Felix, von Deimling, Andreas, Bendszus, Martin, Wick, Wolfgang, and Platten, Michael

Published
2023
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32. Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke

Author

Brugnara, Gianluca, Baumgartner, Michael, Scholze, Edwin David, Deike-Hofmann, Katerina, Kades, Klaus, Scherer, Jonas, Denner, Stefan, Meredig, Hagen, Rastogi, Aditya, Mahmutoglu, Mustafa Ahmed, Ulfert, Christian, Neuberger, Ulf, Schönenberger, Silvia, Schlamp, Kai, Bendella, Zeynep, Pinetz, Thomas, Schmeel, Carsten, Wick, Wolfgang, Ringleb, Peter A., Floca, Ralf, Möhlenbruch, Markus, Radbruch, Alexander, Bendszus, Martin, Maier-Hein, Klaus, and Vollmuth, Philipp

Published
2023
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35. T cell-independent eradication of experimental glioma by intravenous TLR7/8-agonist-loaded nanoparticles

Author

Turco, Verena, Pfleiderer, Kira, Hunger, Jessica, Horvat, Natalie K., Karimian-Jazi, Kianush, Schregel, Katharina, Fischer, Manuel, Brugnara, Gianluca, Jähne, Kristine, Sturm, Volker, Streibel, Yannik, Nguyen, Duy, Altamura, Sandro, Agardy, Dennis A., Soni, Shreya S., Alsasa, Abdulrahman, Bunse, Theresa, Schlesner, Matthias, Muckenthaler, Martina U., Weissleder, Ralph, Wick, Wolfgang, Heiland, Sabine, Vollmuth, Philipp, Bendszus, Martin, Rodell, Christopher B., Breckwoldt, Michael O., and Platten, Michael

Published
2023
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36. Author Correction: Federated learning enables big data for rare cancer boundary detection

Author

Pati, Sarthak, Baid, Ujjwal, Edwards, Brandon, Sheller, Micah, Wang, Shih-Han, Reina, G. Anthony, Foley, Patrick, Gruzdev, Alexey, Karkada, Deepthi, Davatzikos, Christos, Sako, Chiharu, Ghodasara, Satyam, Bilello, Michel, Mohan, Suyash, Vollmuth, Philipp, Brugnara, Gianluca, Preetha, Chandrakanth J., Sahm, Felix, Maier-Hein, Klaus, Zenk, Maximilian, Bendszus, Martin, Wick, Wolfgang, Calabrese, Evan, Rudie, Jeffrey, Villanueva-Meyer, Javier, Cha, Soonmee, Ingalhalikar, Madhura, Jadhav, Manali, Pandey, Umang, Saini, Jitender, Garrett, John, Larson, Matthew, Jeraj, Robert, Currie, Stuart, Frood, Russell, Fatania, Kavi, Huang, Raymond Y., Chang, Ken, Balaña, Carmen, Capellades, Jaume, Puig, Josep, Trenkler, Johannes, Pichler, Josef, Necker, Georg, Haunschmidt, Andreas, Meckel, Stephan, Shukla, Gaurav, Liem, Spencer, Alexander, Gregory S., Lombardo, Joseph, Palmer, Joshua D., Flanders, Adam E., Dicker, Adam P., Sair, Haris I., Jones, Craig K., Venkataraman, Archana, Jiang, Meirui, So, Tiffany Y., Chen, Cheng, Heng, Pheng Ann, Dou, Qi, Kozubek, Michal, Lux, Filip, Michálek, Jan, Matula, Petr, Keřkovský, Miloš, Kopřivová, Tereza, Dostál, Marek, Vybíhal, Václav, Vogelbaum, Michael A., Mitchell, J. Ross, Farinhas, Joaquim, Maldjian, Joseph A., Yogananda, Chandan Ganesh Bangalore, Pinho, Marco C., Reddy, Divya, Holcomb, James, Wagner, Benjamin C., Ellingson, Benjamin M., Cloughesy, Timothy F., Raymond, Catalina, Oughourlian, Talia, Hagiwara, Akifumi, Wang, Chencai, To, Minh-Son, Bhardwaj, Sargam, Chong, Chee, Agzarian, Marc, Falcão, Alexandre Xavier, Martins, Samuel B., Teixeira, Bernardo C. A., Sprenger, Flávia, Menotti, David, Lucio, Diego R., LaMontagne, Pamela, Marcus, Daniel, Wiestler, Benedikt, Kofler, Florian, Ezhov, Ivan, Metz, Marie, Jain, Rajan, Lee, Matthew, Lui, Yvonne W., McKinley, Richard, Slotboom, Johannes, Radojewski, Piotr, Meier, Raphael, Wiest, Roland, Murcia, Derrick, Fu, Eric, Haas, Rourke, Thompson, John, Ormond, David Ryan, Badve, Chaitra, Sloan, Andrew E., Vadmal, Vachan, Waite, Kristin, Colen, Rivka R., Pei, Linmin, Ak, Murat, Srinivasan, Ashok, Bapuraj, J. Rajiv, Rao, Arvind, Wang, Nicholas, Yoshiaki, Ota, Moritani, Toshio, Turk, Sevcan, Lee, Joonsang, Prabhudesai, Snehal, Morón, Fanny, Mandel, Jacob, Kamnitsas, Konstantinos, Glocker, Ben, Dixon, Luke V. M., Williams, Matthew, Zampakis, Peter, Panagiotopoulos, Vasileios, Tsiganos, Panagiotis, Alexiou, Sotiris, Haliassos, Ilias, Zacharaki, Evangelia I., Moustakas, Konstantinos, Kalogeropoulou, Christina, Kardamakis, Dimitrios M., Choi, Yoon Seong, Lee, Seung-Koo, Chang, Jong Hee, Ahn, Sung Soo, Luo, Bing, Poisson, Laila, Wen, Ning, Tiwari, Pallavi, Verma, Ruchika, Bareja, Rohan, Yadav, Ipsa, Chen, Jonathan, Kumar, Neeraj, Smits, Marion, van der Voort, Sebastian R., Alafandi, Ahmed, Incekara, Fatih, Wijnenga, Maarten M. J., Kapsas, Georgios, Gahrmann, Renske, Schouten, Joost W., Dubbink, Hendrikus J., Vincent, Arnaud J. P. E., van den Bent, Martin J., French, Pim J., Klein, Stefan, Yuan, Yading, Sharma, Sonam, Tseng, Tzu-Chi, Adabi, Saba, Niclou, Simone P., Keunen, Olivier, Hau, Ann-Christin, Vallières, Martin, Fortin, David, Lepage, Martin, Landman, Bennett, Ramadass, Karthik, Xu, Kaiwen, Chotai, Silky, Chambless, Lola B., Mistry, Akshitkumar, Thompson, Reid C., Gusev, Yuriy, Bhuvaneshwar, Krithika, Sayah, Anousheh, Bencheqroun, Camelia, Belouali, Anas, Madhavan, Subha, Booth, Thomas C., Chelliah, Alysha, Modat, Marc, Shuaib, Haris, Dragos, Carmen, Abayazeed, Aly, Kolodziej, Kenneth, Hill, Michael, Abbassy, Ahmed, Gamal, Shady, Mekhaimar, Mahmoud, Qayati, Mohamed, Reyes, Mauricio, Park, Ji Eun, Yun, Jihye, Kim, Ho Sung, Mahajan, Abhishek, Muzi, Mark, Benson, Sean, Beets-Tan, Regina G. H., Teuwen, Jonas, Herrera-Trujillo, Alejandro, Trujillo, Maria, Escobar, William, Abello, Ana, Bernal, Jose, Gómez, Jhon, Choi, Joseph, Baek, Stephen, Kim, Yusung, Ismael, Heba, Allen, Bryan, Buatti, John M., Kotrotsou, Aikaterini, Li, Hongwei, Weiss, Tobias, Weller, Michael, Bink, Andrea, Pouymayou, Bertrand, Shaykh, Hassan F., Saltz, Joel, Prasanna, Prateek, Shrestha, Sampurna, Mani, Kartik M., Payne, David, Kurc, Tahsin, Pelaez, Enrique, Franco-Maldonado, Heydy, Loayza, Francis, Quevedo, Sebastian, Guevara, Pamela, Torche, Esteban, Mendoza, Cristobal, Vera, Franco, Ríos, Elvis, López, Eduardo, Velastin, Sergio A., Ogbole, Godwin, Soneye, Mayowa, Oyekunle, Dotun, Odafe-Oyibotha, Olubunmi, Osobu, Babatunde, Shu’aibu, Mustapha, Dorcas, Adeleye, Dako, Farouk, Simpson, Amber L., Hamghalam, Mohammad, Peoples, Jacob J., Hu, Ricky, Tran, Anh, Cutler, Danielle, Moraes, Fabio Y., Boss, Michael A., Gimpel, James, Veettil, Deepak Kattil, Schmidt, Kendall, Bialecki, Brian, Marella, Sailaja, Price, Cynthia, Cimino, Lisa, Apgar, Charles, Shah, Prashant, Menze, Bjoern, Barnholtz-Sloan, Jill S., Martin, Jason, and Bakas, Spyridon

Published
2023
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37. Continuous-Time Deep Glioma Growth Models

Author

Petersen, Jens, Isensee, Fabian, Köhler, Gregor, Jäger, Paul F., Zimmerer, David, Neuberger, Ulf, Wick, Wolfgang, Debus, Jürgen, Heiland, Sabine, Bendszus, Martin, Vollmuth, Philipp, and Maier-Hein, Klaus H.

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

The ability to estimate how a tumor might evolve in the future could have tremendous clinical benefits, from improved treatment decisions to better dose distribution in radiation therapy. Recent work has approached the glioma growth modeling problem via deep learning and variational inference, thus learning growth dynamics entirely from a real patient data distribution. So far, this approach was constrained to predefined image acquisition intervals and sequences of fixed length, which limits its applicability in more realistic scenarios. We overcome these limitations by extending Neural Processes, a class of conditional generative models for stochastic time series, with a hierarchical multi-scale representation encoding including a spatio-temporal attention mechanism. The result is a learned growth model that can be conditioned on an arbitrary number of observations, and that can produce a distribution of temporally consistent growth trajectories on a continuous time axis. On a dataset of 379 patients, the approach successfully captures both global and finer-grained variations in the images, exhibiting superior performance compared to other learned growth models., Comment: MICCAI 2021

Published
2021

44. Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort study

Author

Rastogi, Aditya, Brugnara, Gianluca, Foltyn-Dumitru, Martha, Mahmutoglu, Mustafa Ahmed, Preetha, Chandrakanth J, Kobler, Erich, Pflüger, Irada, Schell, Marianne, Deike-Hofmann, Katerina, Kessler, Tobias, van den Bent, Martin J, Idbaih, Ahmed, Platten, Michael, Brandes, Alba A, Nabors, Burt, Stupp, Roger, Bernhardt, Denise, Debus, Jürgen, Abdollahi, Amir, Gorlia, Thierry, Tonn, Jörg-Christian, Weller, Michael, Maier-Hein, Klaus H, Radbruch, Alexander, Wick, Wolfgang, Bendszus, Martin, Meredig, Hagen, Kurz, Felix T, and Vollmuth, Philipp

Published
2024
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46. Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke

Author

Brugnara, Gianluca, Baumgartner, Michael, Scholze, Edwin D., Deike-Hofmann, Katerina, Kades, Klaus, Scherer, Jonas, Denner, Stefan, Meredig, Hagen, Rastogi, Aditya, Mahmutoglu, Mustafa A., Ulfert, Christian, Neuberger, Ulf, Schönenberger, Silvia, Schlamp, Kai, Bendella, Zeynep, Pinetz, Thomas, Schmeel, Carsten, Wick, Wolfgang, Ringleb, Peter A., Floca, Ralf, Möhlenbruch, Markus, Radbruch, Alexander, Bendszus, Martin, Maier-Hein, Klaus, Vollmuth, Philipp, Gesellschaft für Informatik e.V. (GI), Maier, Andreas, editor, Deserno, Thomas M., editor, Handels, Heinz, editor, Maier-Hein, Klaus, editor, Palm, Christoph, editor, and Tolxdorff, Thomas, editor

Published
2024
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