Tina Kapur

According to our database, Tina Kapur authored at least 64 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluation of mediastinal lymph node segmentation of heterogeneous CT data with full and weak supervision.

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

Comput. Medical Imaging Graph., January, 2024

Unified Cross-Modal Image Synthesis with Hierarchical Mixture of Product-of-Experts.

Reuben Dorent, Nazim Haouchine, Alexandra J. Golby, Sarah F. Frisken, Tina Kapur, William M. Wells III

CoRR, 2024

Calibrating Expressions of Certainty.

Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells III, Tina Kapur, Polina Golland

CoRR, 2024

LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification.

Reuben Dorent, Roya Khajavi, Tagwa Idris, Erik Ziegler, Bhanusupriya Somarouthu, Heather Jacene, Ann S. LaCasce, Jonathan Deissler, Jan Ehrhardt, Sofija Engelson, Stefan M. Fischer, Yun Gu, Heinz Handels, Satoshi Kasai, Satoshi Kondo, Klaus H. Maier-Hein, Julia A. Schnabel, Guotai Wang, Litingyu Wang, Tassilo Wald, Guang-Zhong Yang, Hanxiao Zhang, Minghui Zhang, Steven D. Pieper, Gordon J. Harris, Ron Kikinis, Tina Kapur

CoRR, 2024

Automatic classification of prostate MR series type using image content and metadata.

Deepa Krishnaswamy, Balint Kovacs, Stefan Denner, Steven D. Pieper, David A. Clunie, Christopher P. Bridge, Tina Kapur, Klaus H. Maier-Hein, Andrey Fedorov

CoRR, 2024

Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound.

Hassan Rasheed, Reuben Dorent, Maximilian Fehrentz, Tina Kapur, William M. Wells III, Alexandra J. Golby, Sarah F. Frisken, Julia A. Schnabel, Nazim Haouchine

Proceedings of the Simplifying Medical Ultrasound - 5th International Workshop, 2024

Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound.

Reuben Dorent, Erickson Torio, Nazim Haouchine, Colin Galvin, Sarah F. Frisken, Alexandra J. Golby, Tina Kapur, William M. Wells III

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Can Crowdsourced Annotations Improve AI-Based Congestion Scoring for Bedside Lung Ultrasound?

Ameneh Asgari-Targhi, Tamas Ungi, Mike Jin, Nicholas Harrison, Nicole M. Duggan, Erik P. Duhaime, Andrew J. Goldsmith, Tina Kapur

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Expert-quality Dataset Labeling via Gamified Crowdsourcing on Point-of-Care Lung Ultrasound Data.

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

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

Machine Learning Models for Point-of-care Ultrasound Education and Training: National Cost Savings and Expert Time Reduction.

Lachlan Driver, Nicole M. Duggan, Chares Brower, Mahdi Ebnali, Da'Marcus Baymon, Alexei Wagner, Roger D. Dias, Anthony E. Samir, Tina Kapur, Andrew J. Goldsmith, Christopher W. Baugh

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

SlicerCBM: automatic framework for biomechanical analysis of the brain.

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

Int. J. Comput. Assist. Radiol. Surg., October, 2023

Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound.

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

IEEE J. Biomed. Health Informatics, September, 2023

A tool-free neuronavigation method based on single-view hand tracking.

Fryderyk Victor Kögl, Étienne Léger, Nazim Haouchine, Erickson Torio, Parikshit Juvekar, Nassir Navab, Tina Kapur, Steve Pieper, Alexandra J. Golby, Sarah F. Frisken

Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

Expert-Level Annotation Quality Achieved by Gamified Crowdsourcing for B-line Segmentation in Lung Ultrasound.

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

CoRR, 2023

Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Dataset Labeling.

Nicole M. Duggan, Mike Jin, Maria Alejandra Duran Mendicuti, Stephen Hallisey, Denie Bernier, Lauren A. Selame, Ameneh Asgari-Targhi, Chanel E. Fischetti, Ruben T. Lucassen, Anthony E. Samir, Erik P. Duhaime, Tina Kapur, Andrew J. Goldsmith

CoRR, 2023

Learning Expected Appearances for Intraoperative Registration During Neurosurgery.

Nazim Haouchine, Reuben Dorent, Parikshit Juvekar, Erickson Torio, William M. Wells III, Tina Kapur, Alexandra J. Golby, Sarah F. Frisken

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Unified Brain MR-Ultrasound Synthesis Using Multi-modal Hierarchical Representations.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Automatic framework for patient-specific modelling of tumour resection-induced brain shift.

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

Comput. Biol. Medicine, 2022

NousNav: A low-cost neuronavigation system for deployment in lower-resource settings.

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

Int. J. Comput. Assist. Radiol. Surg., 2022

massNet: integrated processing and classification of spatially resolved mass spectrometry data using deep learning for rapid tumor delineation.

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

Bioinform., 2022

On the Dataset Quality Control for Image Registration Evaluation.

Jie Luo, Guangshen Ma, Nazim Haouchine, Zhe Xu, Yixin Wang, Tina Kapur, Lipeng Ning, William M. Wells III, Sarah F. Frisken

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge.

Yoganand Balagurunathan, Andrew Beers, Michael F. McNitt-Gray, Lubomir M. Hadjiiski, Sandy Napel, Dmitry B. Goldgof, Gustavo Pérez, Pablo Arbeláez, 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

IEEE Trans. Medical Imaging, 2021

Image registration: Maximum likelihood, minimum entropy and deep learning.

Alireza Sedghi, Lauren J. O'Donnell, Tina Kapur, Erik G. Learned-Miller, Parvin Mousavi, William M. Wells III

Medical Image Anal., 2021

Estimation of High Framerate Digital Subtraction Angiography Sequences at Low Radiation Dose.

Nazim Haouchine, Parikshit Juvekar, Xin Xiong, Jie Luo, Tina Kapur, Rose Du, Alexandra J. Golby, Sarah F. Frisken

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Prostate Cancer Diagnosis With Sparse Biopsy Data And In Presence Of Location Uncertainty.

Alireza Mehrtash, Tina Kapur, Clare M. Tempany, Purang Abolmaesumi, William M. Wells III

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation.

Alireza Mehrtash, William M. Wells III, Clare M. Tempany, Purang Abolmaesumi, Tina Kapur

IEEE Trans. Medical Imaging, 2020

Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound.

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

Int. J. Comput. Assist. Radiol. Surg., 2020

PEP: Parameter Ensembling by Perturbation.

Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

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, Friso G. Heslinga, Kemal Tuncali, Andriy Fedorov, Ron Kikinis, Clare M. Tempany, William M. Wells III, Purang Abolmaesumi, Tina Kapur

IEEE Trans. Medical Imaging, 2019

Deep Information Theoretic Registration.

Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III

CoRR, 2019

Semi-supervised image registration using deep learning.

Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III

Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

Tesseract-medical imaging: open-source browser-based platform for artificial intelligence deployment in medical imaging.

Alireza Sedghi, Soheil Hamidi, Alireza Mehrtash, Erik Ziegler, Clare M. Tempany, Steve Pieper, Tina Kapur, Parvin Mousavi

Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

Probabilistic Image Registration via Deep Multi-class Classification: Characterizing Uncertainty.

Alireza Sedghi, Tina Kapur, Jie Luo, Parvin Mousavi, William M. Wells III

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

2018

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

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

NeuroImage, 2018

Semi-Supervised Deep Metrics for Image Registration.

Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III

CoRR, 2018

Automatic high resolution segmentation of the prostate from multi-planar MRI.

Anneke Meyer, Alireza Mehrtash, Marko Rak, Daniel Schindele, Martin Schostak, Clare M. Tempany, Tina Kapur, Purang Abolmaesumi, Andriy Fedorov, Christian Hansen

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Accurate model-based segmentation of gynecologic brachytherapy catheter collections in MRI-images.

André Mastmeyer, Guillaume Pernelle, Ruibin Ma, Lauren Barber, Tina Kapur

Medical Image Anal., 2017

Model-based Catheter Segmentation in MRI-images.

André Mastmeyer, Guillaume Pernelle, Lauren Barber, Steve Pieper, Dirk Fortmeier, Sandy Wells, Heinz Handels, Tina Kapur

CoRR, 2017

DeepInfer: open-source deep learning deployment toolkit for image-guided therapy.

Alireza Mehrtash, Mehran Pesteie, Jorden Hetherington, Peter A. Behringer, Tina Kapur, William M. Wells III, Robert Rohling, Andriy Fedorov, Purang Abolmaesumi

Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks.

Alireza Mehrtash, Alireza Sedghi, Mohsen Ghafoorian, Mehdi Taghipour, Clare M. Tempany, William M. Wells III, Tina Kapur, Parvin Mousavi, Purang Abolmaesumi, Andriy Fedorov

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016

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, 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

Medical Image Anal., 2016

An Immersive Virtual Reality Environment for Diagnostic Imaging.

Franklin King, Jagadeesan Jayender, Sharath K. Bhagavatula, Paul B. Shyn, Steve Pieper, Tina Kapur, Andras Lasso, Gabor Fichtinger

J. Medical Robotics Res., 2016

2015

Open-source image registration for MRI-TRUS fusion-guided prostate interventions.

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

Int. J. Comput. Assist. Radiol. Surg., 2015

2014

EM-navigated catheter placement for gynecologic brachytherapy: an accuracy study.

Alireza Mehrtash, Antonio Damato, Guillaume Pernelle, Lauren Barber, Nabgha Farhat, Akila N. Viswanathan, Robert A. Cormack, Tina Kapur

Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014

2013

GBM Volumetry using the 3D Slicer Medical Image Computing Platform

Jan Egger, Tina Kapur, Andriy Fedorov, Steve Pieper, James V. Miller, Harini Veeraraghavan, Bernd Freisleben, Alexandra J. Golby, Christopher Nimsky, Ron Kikinis

CoRR, 2013

3T MR-Guided Brachytherapy for Gynecologic Malignancies.

Tina Kapur, Jan Egger, Antonio Damato, Ehud J. Schmidt, Akila N. Viswanathan

CoRR, 2013

Integration of the OpenIGTLink Network Protocol for Image-Guided Therapy with the Medical Platform MeVisLab.

Jan Egger, Junichi Tokuda, Laurent Chauvin, Bernd Freisleben, Christopher Nimsky, Tina Kapur, William M. Wells III

CoRR, 2013

Validation of Catheter Segmentation for MR-Guided Gynecologic Cancer Brachytherapy.

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Prototype Design and Phantom Evaluation of a Device for Co-registered MRI/TRUS Imaging of the Prostate.

Andriy Fedorov, Sang-Eun Song, Tina Kapur, Robert Owen, Emily Neubauer Sugar, Paul Nguyen, William M. Wells III, Clare M. Tempany

Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2013

2012

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.

Tina Kapur, Steve Pieper, Ross T. Whitaker, Stephen R. Aylward, Marianna Jakab, William J. Schroeder, Ron Kikinis

J. Am. Medical Informatics Assoc., 2012

Pituitary Adenoma Volumetry with 3D Slicer

Jan Egger, Tina Kapur, Christopher Nimsky, Ron Kikinis

CoRR, 2012

Template-Cut: A Pattern-Based Segmentation Paradigm

Jan Egger, Bernd Freisleben, Christopher Nimsky, Tina Kapur

CoRR, 2012

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

Jan Egger, Tina Kapur, Thomas Dukatz, Malgorzata Kolodziej, Dzenan Zukic, Bernd Freisleben, Christopher Nimsky

CoRR, 2012

Modeling and visualization techniques for virtual stenting of aneurysms and stenoses.

Jan Egger, Stefan Grosskopf, Christopher Nimsky, Tina Kapur, Bernd Freisleben

Comput. Medical Imaging Graph., 2012

MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra.

Mehdi Moradi, Christian Wachinger, Andriy Fedorov, William M. Wells III, Tina Kapur, Luciant D. Wolfsberger, Paul Nguyen, Clare M. Tempany

Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Two solutions for registration of ultrasound to MRI for image-guided prostate interventions.

Mehdi Moradi, Firdaus Janoos, Andriy Fedorov, Petter Risholm, Tina Kapur, Luciant D. Wolfsberger, Paul L. Nguyen, Clare M. Tempany, William M. Wells III

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2006

"Big Science" and Schizophrenia.

Ron Kikinis, Tina Kapur, Martha Elizabeth Shenton, Jeffrey S. Grethe, Mark H. Ellisman

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2003

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

Anthony J. Yezzi, Lilla Zöllei, Tina Kapur

Medical Image Anal., 2003

1999

Model based three dimensional medical image segmentation.

Tina Kapur

PhD thesis, 1999

1998

Enhanced Spatial Priors for Segmentation of Magnetic Resonance Imagery.

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1998

1997

Utilizing Segmented MRI Data in Image-Guided Surgery.

W. Eric L. Grimson, Tina Kapur, Gil J. Ettinger, Michael E. Leventon, William M. Wells III, Ron Kikinis

Int. J. Pattern Recognit. Artif. Intell., 1997

1996

Segmentation of brain tissue from magnetic resonance images.

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

Medical Image Anal., 1996

1995

Segmentation of Brain Tissue from MR Images.

Tina Kapur, W. Eric L. Grimson, Ron Kikinis

Proceedings of the Computer Vision, 1995