|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
|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
|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
|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
|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
|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
|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
|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
|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, 2011
|Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface|
D Ünay, Z Çataltepe, S Aksoy
Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2010
|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
|Overview of the CLEF 2009 medical image retrieval track|
H Müller, J Kalpathy–Cramer, I Eggel, S Bedrick, S Radhouani, B Bakke, ...
Workshop of the Cross-Language Evaluation Forum for European Languages, 72-84, 2009
|Evaluating performance of biomedical image retrieval systems—an overview of the medical image retrieval task at ImageCLEF 2004–2013|
J Kalpathy-Cramer, AGS de Herrera, D Demner-Fushman, S Antani, ...
Computerized Medical Imaging and Graphics 39, 55-61, 2015
|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
|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
|Overview of the ImageCLEFmed 2007 medical retrieval and medical annotation tasks|
H Müller, T Deselaers, TM Deserno, J Kalpathy–Cramer, E Kim, W Hersh
Workshop of the Cross-Language Evaluation Forum for European Languages, 472-491, 2007
|Advanced magnetic resonance imaging of the physical processes in human glioblastoma|
J Kalpathy-Cramer, ER Gerstner, KE Emblem, OC Andronesi, B Rosen
Cancer research 74 (17), 4622-4637, 2014
|Overview of the ImageCLEF 2012 medical image retrieval and classiFIcation tasks.|
H Müller, AGS de Herrera, J Kalpathy-Cramer, D Demner-Fushman, ...
CLEF (online working notes/labs/workshop), 1-16, 2012
|Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge|
W Huang, X Li, Y Chen, X Li, MC Chang, MJ Oborski, DI Malyarenko, ...
Translational oncology 7 (1), 153-166, 2014
|Quantitative imaging biomarkers: a review of statistical methods for computer algorithm comparisons|
NA Obuchowski, AP Reeves, EP Huang, XF Wang, AJ Buckler, HJ Kim, ...
Statistical methods in medical research 24 (1), 68-106, 2015