2026 Tina Kapur: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	30	14105	13672	5589	5314	88	3790

Overview

Tina Kapur is a researcher affiliated with Brigham and Women's Hospital in the United States. Their work primarily falls within the broad field of Medicine, with a focus on several specialized subfields including Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Biomedical Engineering, and Critical Care and Intensive Care Medicine.

Their research topics cover a range of subjects, prominently featuring Ultrasound in Clinical Applications, Radiomics and Machine Learning in Medical Imaging, Schizophrenia research and treatment, Medical Image Segmentation Techniques, Medical Imaging Techniques and Applications, Lung Cancer Diagnosis and Treatment, and Medical Imaging and Analysis.

Tina Kapur has contributed to multiple publication venues, frequently publishing in arXiv (Cornell University), UNC Libraries, International Journal of Computer Assisted Radiology and Surgery, bioRxiv (Cold Spring Harbor Laboratory), and Lecture Notes in Computer Science.

Frequent collaborators include Alexandra J. Golby, Sarah Frisken, William M. Wells, Daniel H. Mathalon, and Nazim Haouchine, indicating interdisciplinary cooperation in their research projects.

Selected recent papers authored by or associated with Tina Kapur include:

Peak learning of mass spectrometry imaging data using artificial neural networks, 2021, Nature Communications
SlicerDMRI: Diffusion MRI and Tractography Research Software for Brain Cancer Surgery Planning and Visualization, 2020, JCO Clinical Cancer Informatics
Challenges and Opportunities of Intraoperative 3D Ultrasound With Neuronavigation in Relation to Intraoperative MRI, 2021, Frontiers in Oncology
Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis, 2024, Schizophrenia Bulletin
Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound, 2020, International Journal of Computer Assisted Radiology and Surgery

Best Publications

Fluoroscopic tracking and visualization system

Teresa Seeley;Faith Lin;Tina Kapur;Gene Gregerson

607
Citations
Segmentation of Brain Tissue from Magnetic Resonance Images

Tina Kapur

477
Citations
OpenIGTLink: an open network protocol for image-guided therapy environment

Junichi Tokuda;Gregory S. Fischer;Xenophon Papademetris;Ziv Yaniv

388
Citations
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation

Mohsen Ghafoorian;Mohsen Ghafoorian;Alireza Mehrtash;Alireza Mehrtash;Tina Kapur;Nico Karssemeijer

365
Citations
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation

Alireza Mehrtash;William M. Wells;Clare M. Tempany;Purang Abolmaesumi

295
Citations
GBM Volumetry using the 3D Slicer Medical Image Computing Platform

Jan Egger;Tina Kapur;Andriy Fedorov;Steve Pieper

282
Citations
A variational framework for joint segmentation and registration

A. Yezzi;L. Zollei;T. Kapur

207
Citations
A variational framework for integrating segmentation and registration through active contours.

Anthony J. Yezzi;Lilla Zöllei;Tina Kapur

178
Citations
Applications of Ultrasound in the Resection of Brain Tumors

Rahul Sastry;Wenya Linda Bi;Steve Pieper;Sarah Frisken

177
Citations
Utilizing Segmented MRI Data in Image-Guided Surgery

W. E. L. Grimson;G. J. Ettinger;T. Kapur;M. E. Leventon

133
Citations
Fiber Tractography Based on Diffusion Tensor Imaging Compared With High-Angular-Resolution Diffusion Imaging With Compressed Sensing: Initial Experience

Daniela Kuhnt;Miriam H A Bauer;Jan Egger;Mirco Richter

113
Citations
Enhanced Spatial Priors for Segmentation of Magnetic Resonance Imagery

Tina Kapur;W. Eric L. Grimson;Ron Kikinis;William M. Wells

111
Citations
Classification of Clinical Significance of MRI Prostate Findings Using 3D Convolutional Neural Networks.

Alireza Mehrtash;Alireza Sedghi;Mohsen Ghafoorian;Mehdi Taghipour

104
Citations
Pituitary Adenoma Volumetry with 3D Slicer

Jan Egger;Jan Egger;Tina Kapur;Christopher Nimsky;Ron Kikinis

100
Citations
Whole brain white matter connectivity analysis using machine learning: An application to autism.

Fan Zhang;Peter Savadjiev;Weidong Cai;Yang Song

96
Citations
Model-based three-dimensional medical image segmentation

Tina Kapur;W. Eric Grimson;William M. Wells

95
Citations
Peak learning of mass spectrometry imaging data using artificial neural networks

Walid M. Abdelmoula;Begona Gimenez Cassina Lopez;Elizabeth C. Randall;Tina Kapur

94
Citations
3-T MR-guided brachytherapy for gynecologic malignancies.

Tina Kapur;Jan Egger;Antonio Damato;Ehud J. Schmidt

93
Citations
Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience.

Tina Kapur;Steve Pieper;Andriy Fedorov;J. C. Fillion-Robin

92
Citations
SlicerDMRI: Diffusion MRI and Tractography Research Software for Brain Cancer Surgery Planning and Visualization

Fan Zhang;Thomas Noh;Parikshit Juvekar;Sarah F. Frisken

86
Citations
Square-Cut: A Segmentation Algorithm on the Basis of a Rectangle Shape

Jan Egger;Jan Egger;Tina Kapur;Thomas Dukatz;Malgorzata Kolodziej

84
Citations
Challenges in Image-Guided Therapy System Design

Simon Dimaio;Tina Kapur;Kevin Cleary;Stephen Aylward

63
Citations
Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy

Alireza Mehrtash;Mohsen Ghafoorian;Guillaume Pernelle;Alireza Ziaei

59
Citations
Fully automatic catheter segmentation in MRI with 3D convolutional neural networks: application to MRI-guided gynecologic brachytherapy.

Paolo Zaffino;Guillaume Pernelle;Andre Mastmeyer;Alireza Mehrtash

59
Citations

Frequent Co-Authors

William M. Wells MIT

Ron Kikinis Brigham and Women's Hospital

Jan Egger University of Graz

Steve Pieper Brigham and Women's Hospital

Purang Abolmaesumi University of British Columbia

Alexandra J. Golby Brigham and Women's Hospital

Bernd Freisleben Philipp University of Marburg

Gabor Fichtinger Queen's University

Nobuhiko Hata Brigham and Women's Hospital

Anthony Yezzi Georgia Institute of Technology

External Links

Personal website of Tina Kapur

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