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Uday Kurkure
Uday Kurkure
Roche
Verified email at uh.edu - Homepage
Title
Cited by
Cited by
Year
Automated left ventricular segmentation in cardiac MRI
A Pednekar, U Kurkure, R Muthupillai, S Flamm, IA Kakadiaris
IEEE Transactions on Biomedical Engineering 53 (7), 1425-1428, 2006
1682006
Report on computational assessment of tumor infiltrating lymphocytes from the International Immuno-Oncology Biomarker Working Group
M Amgad, ES Stovgaard, E Balslev, J Thagaard, W Chen, S Dudgeon, ...
NPJ breast cancer 6 (1), 16, 2020
1242020
Localization and segmentation of left ventricle in cardiac cine-MR images
U Kurkure, A Pednekar, R Muthupillai, SD Flamm, IA Kakadiaris
IEEE transactions on biomedical engineering 56 (5), 1360-1370, 2008
832008
A supervised classification-based method for coronary calcium detection in non-contrast CT
U Kurkure, DR Chittajallu, G Brunner, YH Le, IA Kakadiaris
The international journal of cardiovascular imaging 26, 817-828, 2010
722010
Toward the automatic detection of coronary artery calcification in non-contrast computed tomography data
G Brunner, DR Chittajallu, U Kurkure, IA Kakadiaris
The international journal of cardiovascular imaging 26, 829-838, 2010
662010
Automated segmentation of thoracic aorta in non-contrast CT images
U Kurkure, OC Avila-Montes, IA Kakadiaris
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2008
652008
Joint region and nucleus segmentation for characterization of tumor infiltrating lymphocytes in breast cancer
M Amgad, A Sarkar, C Srinivas, R Redman, S Ratra, CJ Bechert, ...
Medical Imaging 2019: Digital Pathology 10956, 129-136, 2019
462019
Segmentation of the Thoracic Aorta in Non-contrast Cardiac CT Images
O Avila-Montes, U Kurkure, R Nakazato, D Berman, D Dey, I Kakadiaris
Journal of Biomedical and Health Informatics 17 (5), 936-949, 2013
312013
Adaptive Fuzzy Connectedness-Based Medical Image Segmentation.
A Pednekar, IA Kakadiaris, U Kurkure
ICVGIP, 2002
292002
Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials
J Hudeček, L Voorwerk, M van Seijen, I Nederlof, M de Maaker, ...
NPJ Breast Cancer 6 (1), 15, 2020
282020
Landmark/image-based deformable registration of gene expression data
U Kurkure, YH Le, N Paragios, JP Carson, T Ju, IA Kakadiaris
CVPR 2011, 1089-1096, 2011
262011
Fuzzy-cuts: A knowledge-driven graph-based method for medical image segmentation
DR Chittajallu, G Brunner, U Kurkure, RP Yalamanchili, IA Kakadiaris
2009 IEEE Conference on Computer Vision and Pattern Recognition, 715-722, 2009
232009
Toward unsupervised classification of calcified arterial lesions
G Brunner, U Kurkure, DR Chittajallu, RP Yalamanchili, IA Kakadiaris
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008: 11th …, 2008
212008
Knowledge-based quantification of pericardial fat in non-contrast CT data
R Yalamanchili, D Dey, U Kukure, R Nakazato, DS Berman, IA Kakadiaris
Medical Imaging 2010: Image Processing 7623, 617-624, 2010
162010
Artificial Intelligence–Assisted Amphiregulin and Epiregulin IHC Predicts Panitumumab Benefit in RAS Wild-Type Metastatic Colorectal Cancer
CJM Williams, JF Seligmann, F Elliott, M Shires, SD Richman, S Brown, ...
Clinical Cancer Research 27 (12), 3422-3431, 2021
142021
Detection of coronary calcifications using supervised hierarchical classification
U Kurkure, D Chittajallu, G Brunner, R Yalamanchili, I Kakadiaris
MICCAI workshop on CVII, 2008
142008
Markov random field-based fitting of a subdivision-based geometric atlas
U Kurkure, YH Le, N Paragios, T Ju, JP Carson, IA Kakadiaris
2011 International Conference on Computer Vision, 2540-2547, 2011
132011
Aorta segmentation in non-contrast cardiac CT images using an entropy-based cost function
OC Avila-Montes, U Kukure, IA Kakadiaris
Medical Imaging 2010: Image Processing 7623, 1076-1083, 2010
132010
Patch-Cuts: A Graph-Based Image Segmentation Method Using Patch Features and Spatial Relations.
G Brunner, DR Chittajallu, U Kurkure, IA Kakadiaris
BMVC, 1-11, 2010
92010
Left ventricular segmentation in MR using hierarchical multi-class multi-feature fuzzy connectedness
A Pednekar, U Kurkure, R Muthupillai, S Flamm, IA Kakadiaris
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2004: 7th …, 2004
92004
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