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Jayashree Kalpathy-Cramer
Jayashree Kalpathy-Cramer
MGH/Harvard Medical School
Verified email at mgh.harvard.edu - Homepage
Title
Cited by
Cited by
Year
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
47892012
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
38872014
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
11412018
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
4872015
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
3492018
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
3472013
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
2812018
Residual Convolutional Neural Network for the Determination of IDH Status in Low-and High-Grade Gliomas from MR ImagingNeural Network for Determination of IDH Status in Gliomas
K Chang, HX Bai, H Zhou, C Su, WL Bi, E Agbodza, VK Kavouridis, ...
Clinical Cancer Research 24 (5), 1073-1081, 2018
2642018
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, 2019
2512019
The RSNA pediatric bone age machine learning challenge
SS Halabi, LM Prevedello, J Kalpathy-Cramer, AB Mamonov, A Bilbily, ...
Radiology 290 (2), 498, 2019
2502019
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
2202018
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
212*2006
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
2092011
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
1722015
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
1692009
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
1662020
Overview of the ImageCLEF 2013 medical tasks
A Garcia Seco De Herrera, J Kalpathy-Cramer, D Demner-Fushman, ...
CLEF working notes 2013 1179, 219-232, 2014
1532014
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, 53, 2019
1502019
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
1492015
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
1442014
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