Tina Kapur

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 43

Top Venues

CoRR

Int. J. Comput. Assist. Radiol. Surg.

Medical Imaging: Image-Guided Procedures

Medical Image Anal.

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Lachlan Driver, Nicole M. Duggan, Chares Brower, Mahdi Ebnali, Da'Marcus Baymon, Alexei Wagner, Roger Dias, Anthony E. Samir, Tina Kapur, Andrew J. Goldsmith, Christopher W. Baugh
Machine Learning Models for Point-of-care Ultrasound Education and Training: National Cost Savings and Expert Time Reduction. HICSS (2024)
Nicole M. Duggan, Mike Jin, Erik P. Duhaime, Tina Kapur, Maria Alejandra Duran Mendicuti, Stephen Hallisey, Denie Bernier, Lauren A Selame, Ameneh Asgari-Targhi, Chanel E. Fischetti, Ruben T. Lucassen, Anthony E. Samir
Expert-quality Dataset Labeling via Gamified Crowdsourcing on Point-of-Care Lung Ultrasound Data. HICSS (2024)
Reuben Dorent, Erickson Torio, Nazim Haouchine, Colin Galvin, Sarah F. Frisken, Alexandra J. Golby, Tina Kapur, William M. Wells III
Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound. CoRR (2024)
Deepa Krishnaswamy, Balint Kovacs, Stefan Denner, Steven D. Pieper, David A. Clunie, Christopher P. Bridge, Tina Kapur, Klaus H. Maier-Hein, Andrey Fedorov
Automatic classification of prostate MR series type using image content and metadata. CoRR (2024)
Alireza Mehrtash, Erik Ziegler, Tagwa Idris, Bhanusupriya Somarouthu, Trinity Urban, Ann S. LaCasce, Heather Jacene, Annick D. Van den Abbeele, Steve Pieper, Gordon J. Harris, Ron Kikinis, Tina Kapur
Evaluation of mediastinal lymph node segmentation of heterogeneous CT data with full and weak supervision. Comput. Medical Imaging Graph. 111 (2024)
Nazim Haouchine, Reuben Dorent, Parikshit Juvekar, Erickson Torio, William M. Wells III, Tina Kapur, Alexandra J. Golby, Sarah F. Frisken
Learning Expected Appearances for Intraoperative Registration During Neurosurgery. MICCAI (9) (2023)
Ruben T. Lucassen, Mohammad H. Jafari, Nicole M. Duggan, Nick Jowkar, Alireza Mehrtash, Chanel E. Fischetti, Denie Bernier, Kira Prentice, Erik P. Duhaime, Mike Jin, Purang Abolmaesumi, Friso G. Heslinga, Mitko Veta, Maria Alejandra Duran Mendicuti, Sarah F. Frisken, Paul B. Shyn, Alexandra J. Golby, Edward W. Boyer, William M. Wells III, Andrew J. Goldsmith, Tina Kapur
Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound. IEEE J. Biomed. Health Informatics 27 (9) (2023)
Reuben Dorent, Nazim Haouchine, Fryderyk Victor Kögl, Samuel Joutard, Parikshit Juvekar, Erickson Torio, Alexandra J. Golby, Sébastien Ourselin, Sarah F. Frisken, Tom Vercauteren, Tina Kapur, William M. Wells III
Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations. CoRR (2023)
Reuben Dorent, Nazim Haouchine, Fryderyk Victor Kögl, Samuel Joutard, Parikshit Juvekar, Erickson Torio, Alexandra J. Golby, Sébastien Ourselin, Sarah F. Frisken, Tom Vercauteren, Tina Kapur, William M. Wells III
Unified Brain MR-Ultrasound Synthesis Using Multi-modal Hierarchical Representations. MICCAI (10) (2023)
Nazim Haouchine, Reuben Dorent, Parikshit Juvekar, Erickson Torio, William M. Wells III, Tina Kapur, Alexandra J. Golby, Sarah F. Frisken
Learning Expected Appearances for Intraoperative Registration during Neurosurgery. CoRR (2023)
Nicole M. Duggan, Mike Jin, Maria Alejandra Duran Mendicuti, Stephen Hallisey, Denie Bernier, Lauren A Selame, Ameneh Asgari-Targhi, Chanel E. Fischetti, Ruben Lucassen, Anthony E. Samir, Erik Duhaime+, Tina Kapur, Andrew J. Goldsmith
Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Dataset Labeling. CoRR (2023)
Mike Jin, Nicole M. Duggan, Varoon Bashyakarla, Maria Alejandra Duran Mendicuti, Stephen Hallisey, Denie Bernier, Joseph Stegeman, Erik P. Duhaime, Tina Kapur, Andrew J. Goldsmith
Expert-Level Annotation Quality Achieved by Gamified Crowdsourcing for B-line Segmentation in Lung Ultrasound. CoRR (2023)
Fryderyk Victor Kögl, Étienne Léger, Nazim Haouchine, Erickson Torio, Parikshit Juvekar, Nassir Navab, Tina Kapur, Steve Pieper, Alexandra J. Golby, Sarah F. Frisken
A tool-free neuronavigation method based on single-view hand tracking. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11 (4) (2023)
Saima Safdar, Benjamin F. Zwick, Yue Yu, George C. Bourantas, Grand R. Joldes, Simon K. Warfield, Damon E. Hyde, Sarah F. Frisken, Tina Kapur, Ron Kikinis, Alexandra J. Golby, Arya Nabavi, Adam Wittek, Karol Miller
SlicerCBM: automatic framework for biomechanical analysis of the brain. Int. J. Comput. Assist. Radiol. Surg. 18 (10) (2023)
Jie Luo, Guangshen Ma, Nazim Haouchine, Zhe Xu, Yixin Wang, Tina Kapur, Lipeng Ning, William M. Wells III, Sarah F. Frisken
On the Dataset Quality Control for Image Registration Evaluation. MICCAI (6) (2022)
Yue Yu, Saima Safdar, George C. Bourantas, Benjamin Zwick, Grand R. Joldes, Tina Kapur, Sarah F. Frisken, Ron Kikinis, Arya Nabavi, Alexandra J. Golby, Adam Wittek, Karol Miller
Automatic framework for patient-specific modelling of tumour resection-induced brain shift. Comput. Biol. Medicine 143 (2022)
Étienne Léger, Samantha Horvath, Jean-Christophe Fillion-Robin, David Allemang, Samuel Gerber, Parikshit Juvekar, Erickson Torio, Tina Kapur, Steve Pieper, Sonia Pujol, Ryan S. Bardsley, Sarah F. Frisken, Alexandra J. Golby
NousNav: A low-cost neuronavigation system for deployment in lower-resource settings. Int. J. Comput. Assist. Radiol. Surg. 17 (9) (2022)
Walid M. Abdelmoula, Sylwia Stopka, Elizabeth C. Randall, Michael Regan, Jeffrey N. Agar, Jann N. Sarkaria, William M. Wells III, Tina Kapur, Nathalie Y. R. Agar
massNet: integrated processing and classification of spatially resolved mass spectrometry data using deep learning for rapid tumor delineation. Bioinform. 38 (7) (2022)
Alireza Mehrtash, Tina Kapur, Clare M. Tempany, Purang Abolmaesumi, William M. Wells III
Prostate Cancer Diagnosis With Sparse Biopsy Data And In Presence Of Location Uncertainty. ISBI (2021)
Alireza Sedghi, Lauren J. O'Donnell, Tina Kapur, Erik G. Learned-Miller, Parvin Mousavi, William M. Wells III
Image registration: Maximum likelihood, minimum entropy and deep learning. Medical Image Anal. 69 (2021)
Yoganand Balagurunathan, Andrew Beers, Michael F. McNitt-Gray, Lubomir M. Hadjiiski, Sandy Napel, Dmitry B. Goldgof, Gustavo Pérez, Pablo Arbelaez, Alireza Mehrtash, Tina Kapur, Ehwa Yang, Jung Won Moon, Gabriel Bernardino Perez, Ricard Delgado-Gonzalo, Mohammad Mehdi Farhangi, Amir A. Amini, Renkun Ni, Xue Feng, Aditya Bagari, Kiran Vaidhya, Benjamin Veasey, Wiem Safta, Hichem Frigui, Joseph Enguehard, Ali Gholipour, Laura Silvana Castillo, Laura Alexandra Daza, Paul F. Pinsky, Jayashree Kalpathy-Cramer, Keyvan Farahani
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans. Medical Imaging 40 (12) (2021)
Nazim Haouchine, Parikshit Juvekar, Xin Xiong, Jie Luo, Tina Kapur, Rose Du, Alexandra J. Golby, Sarah F. Frisken
Estimation of High Framerate Digital Subtraction Angiography Sequences at Low Radiation Dose. MICCAI (6) (2021)
Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III
PEP: Parameter Ensembling by Perturbation. CoRR (2020)
Alireza Sedghi, Alireza Mehrtash, Amoon Jamzad, Amel Amalou, William M. Wells III, Tina Kapur, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Sheng Xu, Purang Abolmaesumi, Parvin Mousavi
Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound. Int. J. Comput. Assist. Radiol. Surg. 15 (7) (2020)
Alireza Mehrtash, William M. Wells III, Clare M. Tempany, Purang Abolmaesumi, Tina Kapur
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation. IEEE Trans. Medical Imaging 39 (12) (2020)
Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William Wells
PEP: Parameter Ensembling by Perturbation. NeurIPS (2020)
Alireza Sedghi, Tina Kapur, Jie Luo, Parvin Mousavi, William M. Wells III
Probabilistic Image Registration via Deep Multi-class Classification: Characterizing Uncertainty. UNSURE/CLIP@MICCAI (2019)
Alireza Mehrtash, Mohsen Ghafoorian, Guillaume Pernelle, Alireza Ziaei, Friso G. Heslinga, Kemal Tuncali, Andriy Fedorov, Ron Kikinis, Clare M. Tempany, William M. Wells III, Purang Abolmaesumi, Tina Kapur
Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy. IEEE Trans. Medical Imaging 38 (4) (2019)
Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III
Deep Information Theoretic Registration. CoRR (2019)
Alireza Sedghi, Soheil Hamidi, Alireza Mehrtash, Erik Ziegler, Clare M. Tempany, Steve Pieper, Tina Kapur, Parvin Mousavi
Tesseract-medical imaging: open-source browser-based platform for artificial intelligence deployment in medical imaging. Medical Imaging: Image-Guided Procedures (2019)
Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III
Semi-supervised image registration using deep learning. Medical Imaging: Image-Guided Procedures (2019)
Alireza Mehrtash, William M. Wells III, Clare M. Tempany, Purang Abolmaesumi, Tina Kapur
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation. CoRR (2019)
Fan Zhang, Peter Savadjiev, Weidong Cai, Yang Song, Yogesh Rathi, Birkan Tunç, Drew Parker, Tina Kapur, Robert T. Schultz, Nikos Makris, Ragini Verma, Lauren J. O'Donnell
Whole brain white matter connectivity analysis using machine learning: An application to autism. NeuroImage 172 (2018)
Anneke Meyer, Alireza Mehrtash, Marko Rak, Daniel Schindele, Martin Schostak, Clare M. Tempany, Tina Kapur, Purang Abolmaesumi, Andriy Fedorov, Christian Hansen
Automatic high resolution segmentation of the prostate from multi-planar MRI. ISBI (2018)
Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III
Semi-Supervised Deep Metrics for Image Registration. CoRR (2018)
André Mastmeyer, Guillaume Pernelle, Ruibin Ma, Lauren Barber, Tina Kapur
Accurate model-based segmentation of gynecologic brachytherapy catheter collections in MRI-images. Medical Image Anal. 42 (2017)
André Mastmeyer, Guillaume Pernelle, Lauren Barber, Steve Pieper, Dirk Fortmeier, Sandy Wells, Heinz Handels, Tina Kapur
Model-based Catheter Segmentation in MRI-images. CoRR (2017)
Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur, Nico Karssemeijer, Elena Marchiori, Mehran Pesteie, Charles R. G. Guttmann, Frank-Erik de Leeuw, Clare M. Tempany, Bram van Ginneken, Andriy Fedorov, Purang Abolmaesumi, Bram Platel, William M. Wells III
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. MICCAI (3) (2017)
Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur, Nico Karssemeijer, Elena Marchiori, Mehran Pesteie, Charles R. G. Guttmann, Frank-Erik de Leeuw, Clare M. Tempany, Bram van Ginneken, Andriy Fedorov, Purang Abolmaesumi, Bram Platel, William M. Wells III
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. CoRR (2017)
Alireza Mehrtash, Alireza Sedghi, Mohsen Ghafoorian, Mehdi Taghipour, Clare M. Tempany, William M. Wells III, Tina Kapur, Parvin Mousavi, Purang Abolmaesumi, Andriy Fedorov
Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis (2017)
Alireza Mehrtash, Mehran Pesteie, Jorden Hetherington, Peter A. Behringer, Tina Kapur, William M. Wells III, Robert Rohling, Andriy Fedorov, Purang Abolmaesumi
DeepInfer: open-source deep learning deployment toolkit for image-guided therapy. Medical Imaging: Image-Guided Procedures (2017)
Tina Kapur, Steve Pieper, Andriy Fedorov, Jean-Christophe Fillion-Robin, Michael Halle, Lauren O'Donnell, Andras Lasso, Tamas Ungi, Csaba Pinter, Julien Finet, Sonia Pujol, Jagadeesan Jayender, Junichi Tokuda, Isaiah Norton, Raúl San José Estépar, David T. Gering, Hugo J. W. L. Aerts, Marianna Jakab, Nobuhiko Hata, Luiz Ibáñez, Daniel J. Blezek, Jim Miller, Stephen R. Aylward, W. Eric L. Grimson, Gabor Fichtinger, William M. Wells III, William E. Lorensen, William J. Schroeder, Ron Kikinis
Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience. Medical Image Anal. 33 (2016)
Franklin King, Jagadeesan Jayender, Sharath K. Bhagavatula, Paul B. Shyn, Steve Pieper, Tina Kapur, Andras Lasso, Gabor Fichtinger
An Immersive Virtual Reality Environment for Diagnostic Imaging. J. Medical Robotics Res. 1 (1) (2016)
Andriy Fedorov, Siavash Khallaghi, C. Antonio Sánchez, Andras Lasso, Sidney S. Fels, Kemal Tuncali, Emily Neubauer Sugar, Tina Kapur, Chenxi Zhang, William M. Wells III, Paul L. Nguyen, Purang Abolmaesumi, Clare M. Tempany
Open-source image registration for MRI-TRUS fusion-guided prostate interventions. Int. J. Comput. Assist. Radiol. Surg. 10 (6) (2015)
Alireza Mehrtash, Antonio Damato, Guillaume Pernelle, Lauren Barber, Nabgha Farhat, Akila N. Viswanathan, Robert A. Cormack, Tina Kapur
EM-navigated catheter placement for gynecologic brachytherapy: an accuracy study. Medical Imaging: Image-Guided Procedures (2014)
Andriy Fedorov, Sang-Eun Song, Tina Kapur, Robert Owen, Emily Neubauer Sugar, Paul Nguyen, William M. Wells III, Clare M. Tempany
Prototype Design and Phantom Evaluation of a Device for Co-registered MRI/TRUS Imaging of the Prostate. CLIP (2013)
Jan Egger, Junichi Tokuda, Laurent Chauvin, Bernd Freisleben, Christopher Nimsky, Tina Kapur, William M. Wells III
Integration of the OpenIGTLink Network Protocol for Image-Guided Therapy with the Medical Platform MeVisLab. CoRR (2013)
Tina Kapur, Jan Egger, Antonio Damato, Ehud J. Schmidt, Akila N. Viswanathan
3T MR-Guided Brachytherapy for Gynecologic Malignancies. CoRR (2013)
Guillaume Pernelle, Alireza Mehrtash, Lauren Barber, Antonio Damato, Wei Wang, Ravi Teja Seethamraju, Ehud J. Schmidt, Robert A. Cormack, William M. Wells III, Akila N. Viswanathan, Tina Kapur
Validation of Catheter Segmentation for MR-Guided Gynecologic Cancer Brachytherapy. MICCAI (3) (2013)
Jan Egger, Tina Kapur, Andriy Fedorov, Steve Pieper, James V. Miller, Harini Veeraraghavan, Bernd Freisleben, Alexandra J. Golby, Christopher Nimsky, Ron Kikinis
GBM Volumetry using the 3D Slicer Medical Image Computing Platform CoRR (2013)
Jan Egger, Stefan Grosskopf, Christopher Nimsky, Tina Kapur, Bernd Freisleben
Modeling and visualization techniques for virtual stenting of aneurysms and stenoses. Comput. Medical Imaging Graph. 36 (3) (2012)
Tina Kapur, Steve Pieper, Ross T. Whitaker, Stephen R. Aylward, Marianna Jakab, William J. Schroeder, Ron Kikinis
The National Alliance for Medical Image Computing, a roadmap initiative to build a free and open source software infrastructure for translational research in medical image analysis. J. Am. Medical Informatics Assoc. 19 (2) (2012)
Mehdi Moradi, Firdaus Janoos, Andriy Fedorov, Petter Risholm, Tina Kapur, Luciant D. Wolfsberger, Paul L. Nguyen, Clare M. Tempany, William M. Wells III
Two solutions for registration of ultrasound to MRI for image-guided prostate interventions. EMBC (2012)
Jan Egger, Tina Kapur, Christopher Nimsky, Ron Kikinis
Pituitary Adenoma Volumetry with 3D Slicer CoRR (2012)
Jan Egger, Bernd Freisleben, Christopher Nimsky, Tina Kapur
Template-Cut: A Pattern-Based Segmentation Paradigm CoRR (2012)
Jan Egger, Tina Kapur, Thomas Dukatz, Malgorzata Kolodziej, Dzenan Zukic, Bernd Freisleben, Christopher Nimsky
Square-Cut: A Segmentation Algorithm on the Basis of a Rectangle Shape CoRR (2012)
Mehdi Moradi, Christian Wachinger, Andriy Fedorov, William M. Wells III, Tina Kapur, Luciant D. Wolfsberger, Paul Nguyen, Clare M. Tempany
MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra. MLMI (2012)
Ron Kikinis, Tina Kapur, Martha Elizabeth Shenton, Jeffrey S. Grethe, Mark H. Ellisman
"Big Science" and Schizophrenia. ISBI (2006)
Anthony J. Yezzi, Lilla Zöllei, Tina Kapur
A variational framework for integrating segmentation and registration through active contours. Medical Image Anal. 7 (2) (2003)
Tina Kapur, W. Eric L. Grimson, Ron Kikinis, William M. Wells III
Enhanced Spatial Priors for Segmentation of Magnetic Resonance Imagery. MICCAI (1998)
W. Eric L. Grimson, Tina Kapur, Gil J. Ettinger, Michael E. Leventon, William M. Wells III, Ron Kikinis
Utilizing Segmented MRI Data in Image-Guided Surgery. Int. J. Pattern Recognit. Artif. Intell. 11 (8) (1997)
Tina Kapur, W. Eric L. Grimson, William M. Wells III, Ron Kikinis
Segmentation of brain tissue from magnetic resonance images. Medical Image Anal. 1 (2) (1996)
Tina Kapur, W. Eric L. Grimson, Ron Kikinis
Segmentation of Brain Tissue from MR Images. CVRMed (1995)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tina Kapur