Harini Veeraraghavan
Harini Veeraraghavan
Assistant Attending Computer Scientist, Memorial Sloan-Kettering Cancer Center
Verified email at mskcc.org
TitleCited byYear
Computer vision algorithms for intersection monitoring
H Veeraraghavan, O Masoud, NP Papanikolopoulos
IEEE Transactions on Intelligent Transportation Systems 4 (2), 78-89, 2003
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
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
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
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
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
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
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
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
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
Classifiers for driver activity monitoring
H Veeraraghavan, N Bird, S Atev, N Papanikolopoulos
Transportation Research Part C: Emerging Technologies 15 (1), 51-67, 2007
Switching kalman filter-based approach for tracking and event detection at traffic intersections
H Veeraraghavan, P Schrater, N Papanikolopoulos
Proceedings of the 2005 IEEE International Symposium on, Mediterrean …, 2005
Combining multiple tracking modalities for vehicle tracking at traffic intersections
H Veeraraghavanm, N Papanikolopoulos
IEEE International Conference on Robotics and Automation, 2004. Proceedings …, 2004
Communication strategies in multi-robot search and retrieval: Experiences with mindart
PE Rybski, A Larson, H Veeraraghavan, M LaPoint, M Gini
Proc. 7th Int. Symp. Distributed Autonomous Robotic Systems, 2004
Detecting driver fatigue through the use of advanced face monitoring techniques
H Veeraraghavan, NP Papanikolopoulos
Performance evaluation of a multi-robot search & retrieval system: Experiences with MinDART
PE Rybski, A Larson, H Veeraraghavan, M Anderson, M Gini
Journal of Intelligent and Robotic Systems 52 (3-4), 363-387, 2008
Teaching sequential tasks with repetition through demonstration
H Veeraraghavan, M Veloso
Proceedings of the 7th international joint conference on Autonomous agents …, 2008
Driver activity monitoring through supervised and unsupervised learning
H Veeraraghavan, S Atev, N Bird, P Schrater, N Papanikolopoulos
Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005., 580-585, 2005
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Articles 1–20