| 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 | 274 | 2015 |
| Computer vision algorithms for intersection monitoring H Veeraraghavan, O Masoud, NP Papanikolopoulos IEEE Transactions on Intelligent Transportation Systems 4 (2), 78-89, 2003 | 272 | 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 | 229 | 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 | 227 | 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 | 189 | 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 | 171 | 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 | 155 | 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 | 97 | 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 | 95 | 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 | 83 | 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 | 64 | 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 | 63 | 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 | 60 | 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 | 56 | 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 | 48 | 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 | 47 | 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 | 47 | 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 | 41 | 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 | 39 | 2017 |
| Learning visual storylines with skipping recurrent neural networks GA Sigurdsson, X Chen, A Gupta European Conference on Computer Vision, 71-88, 2016 | 39 | 2016 |
Joseph O. Deasy, PhDMemorial Sloan Kettering Cancer CenterVerified email at mskcc.org
