Tina Kapur
Tina Kapur
Brigham and Women's Hospital, Harvard Medical School
Verified email at - Homepage
Cited by
Cited by
Fluoroscopic tracking and visualization system
US Patent 6,490,475, 0
Fluoroscopic tracking and visualization system
T Seeley, F Lin, T Kapur, G Gregerson
US Patent 6,856,827, 2005
Segmentation of brain tissue from magnetic resonance images
T Kapur, WEL Grimson, WM Wells III, R Kikinis
Medical image analysis 1 (2), 109-127, 1996
Fluoroscopic tracking and visualization system
T Seeley, F Lin, T Kapur, G Gregerson
US Patent 6,856,826, 2005
Transfer learning for domain adaptation in mri: Application in brain lesion segmentation
M Ghafoorian, A Mehrtash, T Kapur, N Karssemeijer, E Marchiori, ...
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
OpenIGTLink: an open network protocol for image‐guided therapy environment
J Tokuda, GS Fischer, X Papademetris, Z Yaniv, L Ibanez, P Cheng, H Liu, ...
The International Journal of Medical Robotics and Computer Assisted Surgery …, 2009
Confidence calibration and predictive uncertainty estimation for deep medical image segmentation
A Mehrtash, WM Wells, CM Tempany, P Abolmaesumi, T Kapur
IEEE transactions on medical imaging 39 (12), 3868-3878, 2020
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
A variational framework for joint segmentation and registration
A Yezzi, L Zöllei, T Kapur
Mathematical Methods in Biomedical Image Analysis, 2001. MMBIA 2001. IEEE …, 2001
A variational framework for integrating segmentation and registration through active contours
A Yezzi, L Zöllei, T Kapur
Medical image analysis 7 (2), 171-185, 2003
Applications of ultrasound in the resection of brain tumors
R Sastry, WL Bi, S Pieper, S Frisken, T Kapur, W Wells III, AJ Golby
Journal of Neuroimaging 27 (1), 5-15, 2017
Utilizing segmented MRI data in image-guided surgery
WEL Grimson, GJ Ettinger, T Kapur, ME Leventon, WM Wells III, R Kikinis
International Journal of Pattern Recognition and Artificial Intelligence 11 …, 1997
Multimodal imaging for improved diagnosis and treatment of cancers
CMC Tempany, J Jayender, T Kapur, R Bueno, A Golby, N Agar, ...
Cancer 121 (6), 817-827, 2015
Fiber tractography based on diffusion tensor imaging compared with high-angular-resolution diffusion imaging with compressed sensing: initial experience
D Kuhnt, MHA Bauer, J Egger, M Richter, T Kapur, J Sommer, D Merhof, ...
Neurosurgery 72, A165-A175, 2013
Enhanced spatial priors for segmentation of magnetic resonance imagery
T Kapur, W Eric, L Grimson, R Kikinis, WM Wells
Medical Image Computing and Computer-Assisted Intervention—MICCAI’98: First …, 1998
Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks
A Mehrtash, A Sedghi, M Ghafoorian, M Taghipour, CM Tempany, ...
Medical imaging 2017: computer-aided diagnosis 10134, 589-592, 2017
Pituitary adenoma volumetry with 3D Slicer
J Egger, T Kapur, C Nimsky, R Kikinis
PloS one 7 (12), e51788, 2012
Whole brain white matter connectivity analysis using machine learning: an application to autism
F Zhang, P Savadjiev, W Cai, Y Song, Y Rathi, B Tunç, D Parker, T Kapur, ...
Neuroimage 172, 826-837, 2018
3-T MR-guided brachytherapy for gynecologic malignancies
T Kapur, J Egger, A Damato, EJ Schmidt, AN Viswanathan
Magnetic resonance imaging 30 (9), 1279-1290, 2012
Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience
T Kapur, S Pieper, A Fedorov, JC Fillion-Robin, M Halle, L O'Donnell, ...
Medical Image Analysis 33, 176-180, 2016
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