Harini Veeraraghavan
Harini Veeraraghavan
Associate Attending Computer Scientist, Memorial Sloan-Kettering Cancer Center
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
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
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, 2840-2850, 2015
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
Vision 20/20: perspectives on automated image segmentation for radiotherapy
G Sharp, KD Fritscher, V Pekar, M Peroni, N Shusharina, ...
Medical physics 41 (5), 050902, 2014
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
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
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
Computer vision algorithms for intersection monitoring
H Veeraraghavan, O Masoud, NP Papanikolopoulos
IEEE Transactions on Intelligent Transportation Systems 4 (2), 78-89, 2003
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), 1364, 2013
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
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, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
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, 2903-2915, 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
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
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
Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer
KM Boehm, EA Aherne, L Ellenson, I Nikolovski, M Alghamdi, ...
Nature cancer 3 (6), 723-733, 2022
Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy
S Elguindi, MJ Zelefsky, J Jiang, H Veeraraghavan, JO Deasy, MA Hunt, ...
Physics and imaging in radiation oncology 12, 80-86, 2019
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, 3991-4001, 2017
Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets
H Um, F Tixier, D Bermudez, JO Deasy, RJ Young, H Veeraraghavan
Physics in Medicine & Biology 64 (16), 165011, 2019
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