Tina Kapur

77 papers A* 2A 1Journal 49Unranked 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unified Cross-Modal Medical Image Synthesis With Hierarchical Mixture of Product-of-Experts.
IEEE Trans. Pattern Anal. Mach. Intell.
Reuben Dorent, Nazim Haouchine, Alexandra J. Golby, Sarah F. Frisken, Tina Kapur, William M. Wells III
2025 J jnl
Benchmarking NousNav: quantifying the spatial accuracy and clinical performance of an affordable, open-source neuronavigation system.
Int. J. Comput. Assist. Radiol. Surg.
Colton Barr, Colin Galvin, Parikshit Juvekar, Erickson Torio, Samantha Horvath, Samantha Sadler, Annie Li, Ryan S. Bardsley, Tina Kapur, Steve Pieper, Sonia Pujol, Sarah F. Frisken, Gabor Fichtinger, Alexandra J. Golby
2025 A* conf
Calibrating Expressions of Certainty.
ICLR
Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells III, Tina Kapur, Polina Golland
2025 J jnl
Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges.
CoRR
Lasse Hansen, Wiebke Heyer, Christoph Großbröhmer, Frederic Madesta, Thilo Sentker, Jiazheng Wang, Yuxi Zhang, Hang Zhang, Min Liu, Junyi Wang, Xi Zhu, Yuhua Li, Liwen Wang, Daniil Morozov, Nazim Haouchine, Joel Honkamaa, Pekka Marttinen, Yichao Zhou, Zuopeng Tan, Zhuoyuan Wang, Yi Wang, Hongchao Zhou, Shunbo Hu, Yi Zhang, Qian Tao, Lukas Förner, Thomas Wendler, Bailiang Jian, Christian Wachinger, Jin Kim, Dan Ruan, Marek Wodzinski, Henning Müller, Tony C. W. Mok, Xi Jia, Jinming Duan, Mikael Brudfors, Seyed-Ahmad Ahmadi, Yunzheng Zhu, William Hsu, Tina Kapur, William M. Wells, Alexandra J. Golby, Aaron Carass, Harrison X. Bai, Yihao Liu, Perrine Paul-Gilloteaux, Joakim Lindblad, Natasa Sladoje, Andreas Walter, Junyu Chen, Reuben Dorent, Alessa Hering, Mattias P. Heinrich
2025 J jnl
Optimizing registration uncertainty visualization to support intraoperative decision-making during brain tumor resection.
Int. J. Comput. Assist. Radiol. Surg.
Mahsa Geshvadi, Reuben Dorent, Colin Galvin, Laura Rigolo, Nazim Haouchine, Tina Kapur, Steven D. Pieper, Mark G. Vangel, William M. Wells III, Alexandra J. Golby, Daniel Haehn, Sarah F. Frisken
2025 J jnl
The Brain Resection Multimodal Image Registration (ReMIND2Reg) 2025 Challenge.
CoRR
Reuben Dorent, Laura Rigolo, Colin Galvin, Junyu Chen, Mattias P. Heinrich, Aaron Carass, Olivier Colliot, Demian Wassermann, Alexandra J. Golby, Tina Kapur, William M. Wells III
2024 J jnl
Automatic classification of prostate MR series type using image content and metadata.
CoRR
Deepa Krishnaswamy, Balint Kovacs, Stefan Denner, Steven D. Pieper, David A. Clunie, Christopher P. Bridge, Tina Kapur, Klaus H. Maier-Hein, Andrey Fedorov
2024 J jnl
Calibrating Expressions of Certainty.
CoRR
Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells III, Tina Kapur, Polina Golland
2024 — conf
Can Crowdsourced Annotations Improve AI-Based Congestion Scoring for Bedside Lung Ultrasound?
MICCAI (4)
Ameneh Asgari-Targhi, Tamas Ungi, Mike Jin, Nicholas Harrison, Nicole M. Duggan, Erik P. Duhaime, Andrew J. Goldsmith, Tina Kapur
2024 J jnl
Evaluation of mediastinal lymph node segmentation of heterogeneous CT data with full and weak supervision.
Comput. Medical Imaging Graph.
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
2024 — conf
Expert-quality Dataset Labeling via Gamified Crowdsourcing on Point-of-Care Lung Ultrasound Data.
HICSS
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
2024 J jnl
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification.
CoRR
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
2024 — conf
Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound.
ASMUS@MICCAI
Hassan Rasheed, Reuben Dorent, Maximilian Fehrentz, Tina Kapur, William M. Wells III, Alexandra J. Golby, Sarah F. Frisken, Julia A. Schnabel, Nazim Haouchine
2024 J jnl
Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound.
CoRR
Hassan Rasheed, Reuben Dorent, Maximilian Fehrentz, Tina Kapur, William M. Wells III, Alexandra J. Golby, Sarah F. Frisken, Julia A. Schnabel, Nazim Haouchine
2024 — conf
Machine Learning Models for Point-of-care Ultrasound Education and Training: National Cost Savings and Expert Time Reduction.
HICSS
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
2024 — conf
Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound.
MICCAI (6)
Reuben Dorent, Erickson Torio, Nazim Haouchine, Colin Galvin, Sarah F. Frisken, Alexandra J. Golby, Tina Kapur, William M. Wells III
2024 J jnl
Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound.
CoRR
Reuben Dorent, Erickson Torio, Nazim Haouchine, Colin Galvin, Sarah F. Frisken, Alexandra J. Golby, Tina Kapur, William M. Wells III
2024 J jnl
Unified Cross-Modal Image Synthesis with Hierarchical Mixture of Product-of-Experts.
CoRR
Reuben Dorent, Nazim Haouchine, Alexandra J. Golby, Sarah F. Frisken, Tina Kapur, William M. Wells III
2023 J jnl
A tool-free neuronavigation method based on single-view hand tracking.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Fryderyk Victor Kögl, Étienne Léger, Nazim Haouchine, Erickson Torio, Parikshit Juvekar, Nassir Navab, Tina Kapur, Steve Pieper, Alexandra J. Golby, Sarah F. Frisken
2023 J jnl
Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound.
IEEE J. Biomed. Health Informatics
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
2023 J jnl
Expert-Level Annotation Quality Achieved by Gamified Crowdsourcing for B-line Segmentation in Lung Ultrasound.
CoRR
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
2023 J jnl
Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Dataset Labeling.
CoRR
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
2023 — conf
Learning Expected Appearances for Intraoperative Registration During Neurosurgery.
MICCAI (9)
Nazim Haouchine, Reuben Dorent, Parikshit Juvekar, Erickson Torio, William M. Wells III, Tina Kapur, Alexandra J. Golby, Sarah F. Frisken
2023 J jnl
Learning Expected Appearances for Intraoperative Registration during Neurosurgery.
CoRR
Nazim Haouchine, Reuben Dorent, Parikshit Juvekar, Erickson Torio, William M. Wells III, Tina Kapur, Alexandra J. Golby, Sarah F. Frisken
2023 J jnl
SlicerCBM: automatic framework for biomechanical analysis of the brain.
Int. J. Comput. Assist. Radiol. Surg.
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
2023 — conf
Unified Brain MR-Ultrasound Synthesis Using Multi-modal Hierarchical Representations.
MICCAI (10)
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
2023 J jnl
Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations.
CoRR
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
2022 J jnl
Automatic framework for patient-specific modelling of tumour resection-induced brain shift.
Comput. Biol. Medicine
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
2022 J jnl
NousNav: A low-cost neuronavigation system for deployment in lower-resource settings.
Int. J. Comput. Assist. Radiol. Surg.
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
2022 — conf
On the Dataset Quality Control for Image Registration Evaluation.
MICCAI (6)
Jie Luo, Guangshen Ma, Nazim Haouchine, Zhe Xu, Yixin Wang, Tina Kapur, Lipeng Ning, William M. Wells III, Sarah F. Frisken
2022 J jnl
massNet: integrated processing and classification of spatially resolved mass spectrometry data using deep learning for rapid tumor delineation.
Bioinform.
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
2021 — conf
Estimation of High Framerate Digital Subtraction Angiography Sequences at Low Radiation Dose.
MICCAI (6)
Nazim Haouchine, Parikshit Juvekar, Xin Xiong, Jie Luo, Tina Kapur, Rose Du, Alexandra J. Golby, Sarah F. Frisken
2021 J jnl
Image registration: Maximum likelihood, minimum entropy and deep learning.
Medical Image Anal.
Alireza Sedghi, Lauren J. O'Donnell, Tina Kapur, Erik G. Learned-Miller, Parvin Mousavi, William M. Wells III
2021 J jnl
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge.
IEEE Trans. Medical Imaging
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
2021 — conf
Prostate Cancer Diagnosis With Sparse Biopsy Data And In Presence Of Location Uncertainty.
ISBI
Alireza Mehrtash, Tina Kapur, Clare M. Tempany, Purang Abolmaesumi, William M. Wells III
2020 J jnl
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation.
IEEE Trans. Medical Imaging
Alireza Mehrtash, William M. Wells III, Clare M. Tempany, Purang Abolmaesumi, Tina Kapur
2020 J jnl
Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound.
Int. J. Comput. Assist. Radiol. Surg.
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
2020 A* conf
PEP: Parameter Ensembling by Perturbation.
NeurIPS
Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III
2020 J jnl
PEP: Parameter Ensembling by Perturbation.
CoRR
Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III
2019 J jnl
Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy.
IEEE Trans. Medical Imaging
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
2019 J jnl
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation.
CoRR
Alireza Mehrtash, William M. Wells III, Clare M. Tempany, Purang Abolmaesumi, Tina Kapur
2019 J jnl
Deep Information Theoretic Registration.
CoRR
Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III
2019 — conf
Probabilistic Image Registration via Deep Multi-class Classification: Characterizing Uncertainty.
UNSURE/CLIP@MICCAI
Alireza Sedghi, Tina Kapur, Jie Luo, Parvin Mousavi, William M. Wells III
2019 — conf
Semi-supervised image registration using deep learning.
Image-Guided Procedures
Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III
2019 — conf
Tesseract-medical imaging: open-source browser-based platform for artificial intelligence deployment in medical imaging.
Image-Guided Procedures
Alireza Sedghi, Soheil Hamidi, Alireza Mehrtash, Erik Ziegler, Clare M. Tempany, Steve Pieper, Tina Kapur, Parvin Mousavi
2018 — conf
Automatic high resolution segmentation of the prostate from multi-planar MRI.
ISBI
Anneke Meyer, Alireza Mehrtash, Marko Rak, Daniel Schindele, Martin Schostak, Clare M. Tempany, Tina Kapur, Purang Abolmaesumi, Andriy Fedorov, Christian Hansen
2018 J jnl
Semi-Supervised Deep Metrics for Image Registration.
CoRR
Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III
2018 J jnl
Whole brain white matter connectivity analysis using machine learning: An application to autism.
NeuroImage
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
2017 J jnl
Accurate model-based segmentation of gynecologic brachytherapy catheter collections in MRI-images.
Medical Image Anal.
André Mastmeyer, Guillaume Pernelle, Ruibin Ma, Lauren Barber, Tina Kapur
2017 — conf
Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks.
Computer-Aided Diagnosis
Alireza Mehrtash, Alireza Sedghi, Mohsen Ghafoorian, Mehdi Taghipour, Clare M. Tempany, William M. Wells III, Tina Kapur, Parvin Mousavi, Purang Abolmaesumi, Andriy Fedorov
2017 — conf
DeepInfer: open-source deep learning deployment toolkit for image-guided therapy.
Image-Guided Procedures
Alireza Mehrtash, Mehran Pesteie, Jorden Hetherington, Peter A. Behringer, Tina Kapur, William M. Wells III, Robert Rohling, Andriy Fedorov, Purang Abolmaesumi
2017 J jnl
Model-based Catheter Segmentation in MRI-images.
CoRR
André Mastmeyer, Guillaume Pernelle, Lauren Barber, Steve Pieper, Dirk Fortmeier, Sandy Wells, Heinz Handels, Tina Kapur
2017 — conf
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation.
MICCAI (3)
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
2017 J jnl
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation.
CoRR
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
2016 J jnl
An Immersive Virtual Reality Environment for Diagnostic Imaging.
J. Medical Robotics Res.
Franklin King, Jagadeesan Jayender, Sharath K. Bhagavatula, Paul B. Shyn, Steve Pieper, Tina Kapur, Andras Lasso, Gabor Fichtinger
2016 J jnl
Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience.
Medical Image Anal.
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
2015 J jnl
Open-source image registration for MRI-TRUS fusion-guided prostate interventions.
Int. J. Comput. Assist. Radiol. Surg.
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
2014 — conf
EM-navigated catheter placement for gynecologic brachytherapy: an accuracy study.
Image-Guided Procedures
Alireza Mehrtash, Antonio Damato, Guillaume Pernelle, Lauren Barber, Nabgha Farhat, Akila N. Viswanathan, Robert A. Cormack, Tina Kapur
2013 J jnl
3T MR-Guided Brachytherapy for Gynecologic Malignancies.
CoRR
Tina Kapur, Jan Egger, Antonio Damato, Ehud J. Schmidt, Akila N. Viswanathan
2013 J jnl
GBM Volumetry using the 3D Slicer Medical Image Computing Platform
CoRR
Jan Egger, Tina Kapur, Andriy Fedorov, Steve Pieper, James V. Miller, Harini Veeraraghavan, Bernd Freisleben, Alexandra J. Golby, Christopher Nimsky, Ron Kikinis
2013 J jnl
Integration of the OpenIGTLink Network Protocol for Image-Guided Therapy with the Medical Platform MeVisLab.
CoRR
Jan Egger, Junichi Tokuda, Laurent Chauvin, Bernd Freisleben, Christopher Nimsky, Tina Kapur, William M. Wells III
2013 — conf
Prototype Design and Phantom Evaluation of a Device for Co-registered MRI/TRUS Imaging of the Prostate.
CLIP
Andriy Fedorov, Sang-Eun Song, Tina Kapur, Robert Owen, Emily Neubauer Sugar, Paul Nguyen, William M. Wells III, Clare M. Tempany
2013 — conf
Validation of Catheter Segmentation for MR-Guided Gynecologic Cancer Brachytherapy.
MICCAI (3)
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
2012 — conf
MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra.
MLMI
Mehdi Moradi, Christian Wachinger, Andriy Fedorov, William M. Wells III, Tina Kapur, Luciant D. Wolfsberger, Paul Nguyen, Clare M. Tempany
2012 J jnl
Modeling and visualization techniques for virtual stenting of aneurysms and stenoses.
Comput. Medical Imaging Graph.
Jan Egger, Stefan Grosskopf, Christopher Nimsky, Tina Kapur, Bernd Freisleben
2012 J jnl
Pituitary Adenoma Volumetry with 3D Slicer
CoRR
Jan Egger, Tina Kapur, Christopher Nimsky, Ron Kikinis
2012 J jnl
Square-Cut: A Segmentation Algorithm on the Basis of a Rectangle Shape
CoRR
Jan Egger, Tina Kapur, Thomas Dukatz, Malgorzata Kolodziej, Dzenan Zukic, Bernd Freisleben, Christopher Nimsky
2012 J jnl
Template-Cut: A Pattern-Based Segmentation Paradigm
CoRR
Jan Egger, Bernd Freisleben, Christopher Nimsky, Tina Kapur
2012 J jnl
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.
Tina Kapur, Steve Pieper, Ross T. Whitaker, Stephen R. Aylward, Marianna Jakab, William J. Schroeder, Ron Kikinis
2012 — conf
Two solutions for registration of ultrasound to MRI for image-guided prostate interventions.
EMBC
Mehdi Moradi, Firdaus Janoos, Andriy Fedorov, Petter Risholm, Tina Kapur, Luciant D. Wolfsberger, Paul L. Nguyen, Clare M. Tempany, William M. Wells III
2006 — conf
"Big Science" and Schizophrenia.
ISBI
Ron Kikinis, Tina Kapur, Martha Elizabeth Shenton, Jeffrey S. Grethe, Mark H. Ellisman
2003 J jnl
A variational framework for integrating segmentation and registration through active contours.
Medical Image Anal.
Anthony J. Yezzi, Lilla Zöllei, Tina Kapur
1999 — —
Model based three dimensional medical image segmentation.
Tina Kapur
1998 A conf
Enhanced Spatial Priors for Segmentation of Magnetic Resonance Imagery.
MICCAI
Tina Kapur, W. Eric L. Grimson, Ron Kikinis, William M. Wells III
1997 J jnl
Utilizing Segmented MRI Data in Image-Guided Surgery.
Int. J. Pattern Recognit. Artif. Intell.
W. Eric L. Grimson, Tina Kapur, Gil J. Ettinger, Michael E. Leventon, William M. Wells III, Ron Kikinis
1996 J jnl
Segmentation of brain tissue from magnetic resonance images.
Medical Image Anal.
Tina Kapur, W. Eric L. Grimson, William M. Wells III, Ron Kikinis
1995 — conf
Segmentation of Brain Tissue from MR Images.
CVRMed
Tina Kapur, W. Eric L. Grimson, Ron Kikinis