| 3D Slicer as an image computing platform for the Quantitative Imaging Network A Fedorov, R Beichel, J Kalpathy-Cramer, J Finet, JC Fillion-Robin, ... Magnetic resonance imaging 30 (9), 1323-1341, 2012 | 7806 | 2012 |
| The multimodal brain tumor image segmentation benchmark (BRATS) BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ... IEEE transactions on medical imaging 34 (10), 1993-2024, 2014 | 6232 | 2014 |
| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2053 | 2018 |
| Introduction to machine learning, neural networks, and deep learning RY Choi, AS Coyner, J Kalpathy-Cramer, MF Chiang, JP Campbell Translational vision science & technology 9 (2), 14-14, 2020 | 936 | 2020 |
| The rsna-asnr-miccai brats 2021 benchmark on brain tumor segmentation and radiogenomic classification U Baid, S Ghodasara, S Mohan, M Bilello, E Calabrese, E Colak, ... arXiv preprint arXiv:2107.02314, 2021 | 726 | 2021 |
| Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials BM Ellingson, M Bendszus, J Boxerman, D Barboriak, BJ Erickson, ... Neuro-oncology 17 (9), 1188-1198, 2015 | 708 | 2015 |
| Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks JM Brown, JP Campbell, A Beers, K Chang, S Ostmo, RVP Chan, J Dy, ... JAMA ophthalmology 136 (7), 803-810, 2018 | 561 | 2018 |
| Monai: An open-source framework for deep learning in healthcare MJ Cardoso, W Li, R Brown, N Ma, E Kerfoot, Y Wang, B Murrey, ... arXiv preprint arXiv:2211.02701, 2022 | 471 | 2022 |
| The RSNA pediatric bone age machine learning challenge SS Halabi, LM Prevedello, J Kalpathy-Cramer, AB Mamonov, A Bilbily, ... Radiology 290 (2), 498-503, 2019 | 435 | 2019 |
| Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging K Chang, HX Bai, H Zhou, C Su, WL Bi, E Agbodza, VK Kavouridis, ... Clinical Cancer Research 24 (5), 1073-1081, 2018 | 397 | 2018 |
| Radiomics in brain tumor: image assessment, quantitative feature descriptors, and machine-learning approaches M Zhou, J Scott, B Chaudhury, L Hall, D Goldgof, KW Yeom, M Iv, Y Ou, ... American Journal of Neuroradiology 39 (2), 208-216, 2018 | 393 | 2018 |
| Improved tumor oxygenation and survival in glioblastoma patients who show increased blood perfusion after cediranib and chemoradiation TT Batchelor, ER Gerstner, KE Emblem, DG Duda, J Kalpathy-Cramer, ... Proceedings of the national academy of sciences 110 (47), 19059-19064, 2013 | 388 | 2013 |
| A roadmap for foundational research on artificial intelligence in medical imaging: from the 2018 NIH/RSNA/ACR/The Academy Workshop CP Langlotz, B Allen, BJ Erickson, J Kalpathy-Cramer, K Bigelow, ... Radiology 291 (3), 781-791, 2019 | 379 | 2019 |
| Distributed deep learning networks among institutions for medical imaging K Chang, N Balachandar, C Lam, D Yi, J Brown, A Beers, B Rosen, ... Journal of the American Medical Informatics Association 25 (8), 945-954, 2018 | 356 | 2018 |
| Methods for segmentation and classification of digital microscopy tissue images QD Vu, S Graham, T Kurc, MNN To, M Shaban, T Qaiser, NA Koohbanani, ... Frontiers in bioengineering and biotechnology 7, 433738, 2019 | 299 | 2019 |
| Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface M Abe, K Aoki, G Ateniese, R Avanzi, Z Beerliová, O Billet, A Biryukov, ... Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2006 | 263* | 2006 |
| Overview of the ImageCLEFmed 2007 medical retrieval and medical annotation tasks H Müller, T Deselaers, TM Deserno, J Kalpathy–Cramer, E Kim, W Hersh Advances in Multilingual and Multimodal Information Retrieval: 8th Workshop …, 2008 | 261 | 2008 |
| Nomogram for predicting the benefit of adjuvant chemoradiotherapy for resected gallbladder cancer SJ Wang, A Lemieux, J Kalpathy-Cramer, CB Ord, GV Walker, CD Fuller, ... Journal of Clinical Oncology 29 (35), 4627-4632, 2011 | 247 | 2011 |
| Assessing the trustworthiness of saliency maps for localizing abnormalities in medical imaging N Arun, N Gaw, P Singh, K Chang, M Aggarwal, B Chen, K Hoebel, ... Radiology: Artificial Intelligence 3 (6), e200267, 2021 | 241 | 2021 |
| Federated learning for breast density classification: A real-world implementation HR Roth, K Chang, P Singh, N Neumark, W Li, V Gupta, S Gupta, L Qu, ... Domain Adaptation and Representation Transfer, and Distributed and …, 2020 | 210 | 2020 |
