|Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason …|
A Wibmer, H Hricak, T Gondo, K Matsumoto, H Veeraraghavan, D Fehr, ...
European radiology 25 (10), 2840-2850, 2015
|Computer vision algorithms for intersection monitoring|
H Veeraraghavan, O Masoud, NP Papanikolopoulos
IEEE Transactions on Intelligent Transportation Systems 4 (2), 78-89, 2003
|Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images|
D Fehr, H Veeraraghavan, A Wibmer, T Gondo, K Matsumoto, HA Vargas, ...
Proceedings of the National Academy of Sciences 112 (46), E6265-E6273, 2015
|Heterogeneous tumor-immune microenvironments among differentially growing metastases in an ovarian cancer patient|
A Jiménez-Sánchez, D Memon, S Pourpe, H Veeraraghavan, Y Li, ...
Cell 170 (5), 927-938. e20, 2017
|Vision 20/20: perspectives on automated image segmentation for radiotherapy|
G Sharp, KD Fritscher, V Pekar, M Peroni, N Shusharina, ...
Medical physics 41 (5), 2014
|GBM volumetry using the 3D Slicer medical image computing platform|
J Egger, T Kapur, A Fedorov, S Pieper, JV Miller, H Veeraraghavan, ...
Scientific reports 3 (1), 1-7, 2013
|Unravelling tumour heterogeneity using next-generation imaging: radiomics, radiogenomics, and habitat imaging|
E Sala, E Mema, Y Himoto, H Veeraraghavan, JD Brenton, A Snyder, ...
Clinical radiology 72 (1), 3-10, 2017
|Breast cancer subtype intertumor heterogeneity: MRI‐based features predict results of a genomic assay|
EJ Sutton, JH Oh, BZ Dashevsky, H Veeraraghavan, AP Apte, SB Thakur, ...
Journal of Magnetic Resonance Imaging 42 (5), 1398-1406, 2015
|MR imaging of rectal cancer: radiomics analysis to assess treatment response after neoadjuvant therapy|
N Horvat, H Veeraraghavan, M Khan, I Blazic, J Zheng, M Capanu, E Sala, ...
Radiology 287 (3), 833-843, 2018
|Breast cancer molecular subtype classifier that incorporates MRI features|
EJ Sutton, BZ Dashevsky, JH Oh, H Veeraraghavan, AP Apte, SB Thakur, ...
Journal of Magnetic Resonance Imaging 44 (1), 122-129, 2016
|Differentiation of uterine leiomyosarcoma from atypical leiomyoma: diagnostic accuracy of qualitative MR imaging features and feasibility of texture analysis|
Y Lakhman, H Veeraraghavan, J Chaim, D Feier, DA Goldman, ...
European radiology 27 (7), 2903-2915, 2017
|Autosegmentation for thoracic radiation treatment planning: a grand challenge at AAPM 2017|
J Yang, H Veeraraghavan, SG Armato III, K Farahani, JS Kirby, ...
Medical physics 45 (10), 4568-4581, 2018
|Tumor-aware, adversarial domain adaptation from ct to mri for lung cancer segmentation|
J Jiang, YC Hu, N Tyagi, P Zhang, A Rimner, GS Mageras, JO Deasy, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
|A rectal cancer organoid platform to study individual responses to chemoradiation|
K Ganesh, C Wu, KP O’Rourke, BC Szeglin, Y Zheng, CEG Sauvé, ...
Nature medicine 25 (10), 1607-1614, 2019
|Extension of CERR for computational radiomics: a comprehensive MATLAB platform for reproducible radiomics research|
AP Apte, A Iyer, M Crispin‐Ortuzar, R Pandya, LV Van Dijk, E Spezi, ...
Medical physics 45 (8), 3713-3720, 2018
|Multiple resolution residually connected feature streams for automatic lung tumor segmentation from CT images|
J Jiang, YC Hu, CJ Liu, D Halpenny, MD Hellmann, JO Deasy, G Mageras, ...
IEEE transactions on medical imaging 38 (1), 134-144, 2018
|Robust target detection and tracking through integration of motion, color, and geometry|
H Veeraraghavan, P Schrater, N Papanikolopoulos
Computer Vision and Image Understanding 103 (2), 121-138, 2006
|Classifiers for driver activity monitoring|
H Veeraraghavan, N Bird, S Atev, N Papanikolopoulos
Transportation Research Part C: Emerging Technologies 15 (1), 51-67, 2007
|A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcome|
HA Vargas, H Veeraraghavan, M Micco, S Nougaret, Y Lakhman, ...
European radiology 27 (9), 3991-4001, 2017
|Learning visual storylines with skipping recurrent neural networks|
GA Sigurdsson, X Chen, A Gupta
European Conference on Computer Vision, 71-88, 2016