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2020 – today
- 2024
[j22]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: 102312 (2024)- [c26]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: 3891-3897 - [c25]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:
Machine Learning Models for Point-of-care Ultrasound Education and Training: National Cost Savings and Expert Time Reduction. HICSS 2024: 3915-3924 - [c24]Hassan Rasheed, Reuben Dorent, Maximilian Fehrentz, Tina Kapur, William M. Wells III, Alexandra J. Golby, Sarah F. Frisken, Julia A. Schnabel, Nazim Haouchine:
Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound. ASMUS@MICCAI 2024: 78-87 - [c23]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. MICCAI (6) 2024: 477-487 - [c22]Ameneh Asgari-Targhi, Tamas Ungi, Mike Jin, Nicholas Harrison, Nicole M. Duggan, Erik P. Duhaime, Andrew J. Goldsmith, Tina Kapur:
Can Crowdsourced Annotations Improve AI-Based Congestion Scoring for Bedside Lung Ultrasound? MICCAI (4) 2024: 580-590 - [i21]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 abs/2404.10892 (2024) - [i20]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 abs/2405.09959 (2024) - [i19]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:
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification. CoRR abs/2408.10069 (2024) - [i18]Hassan Rasheed, Reuben Dorent, Maximilian Fehrentz, Tina Kapur, William M. Wells III, Alexandra J. Golby, Sarah F. Frisken, Julia A. Schnabel, Nazim Haouchine:
Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound. CoRR abs/2409.08169 (2024) - [i17]Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells III, Tina Kapur, Polina Golland:
Calibrating Expressions of Certainty. CoRR abs/2410.04315 (2024) - 2023
- [j21]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): 1925-1940 (2023) - [j20]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): 1307-1315 (2023) - [j19]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): 4352-4361 (2023) - [c21]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: 227-237 - [c20]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: 448-458 - [i16]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:
Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Dataset Labeling. CoRR abs/2306.06773 (2023) - [i15]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 abs/2309.08747 (2023) - [i14]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 abs/2310.01735 (2023) - [i13]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 abs/2312.10198 (2023) - 2022
- [j18]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): 2015-2021 (2022) - [j17]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): 1745-1750 (2022) - [j16]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: 105271 (2022) - [c19]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: 36-45 - 2021
- [j15]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: 101939 (2021) - [j14]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:
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans. Medical Imaging 40(12): 3748-3761 (2021) - [c18]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: 443-447 - [c17]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: 171-180 - 2020
- [j13]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): 1215-1223 (2020) - [j12]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): 3868-3878 (2020) - [c16]Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III:
PEP: Parameter Ensembling by Perturbation. NeurIPS 2020 - [i12]Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III:
PEP: Parameter Ensembling by Perturbation. CoRR abs/2010.12721 (2020)
2010 – 2019
- 2019
- [j11]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): 1026-1036 (2019) - [c15]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: 12-22 - [c14]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: 109511R - [c13]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: 109511G - [i11]Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III:
Deep Information Theoretic Registration. CoRR abs/1901.00040 (2019) - [i10]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 abs/1911.13273 (2019) - 2018
- [j10]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: 826-837 (2018) - [c12]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: 177-181 - [i9]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 abs/1804.01565 (2018) - 2017
- [j9]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: 173-188 (2017) - [c11]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: 101342A - [c10]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: 516-524 - [c9]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: 101351K - [i8]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 abs/1702.07841 (2017) - [i7]André Mastmeyer, Guillaume Pernelle, Lauren Barber, Steve Pieper, Dirk Fortmeier, Sandy Wells, Heinz Handels, Tina Kapur:
Model-based Catheter Segmentation in MRI-images. CoRR abs/1705.06712 (2017) - 2016
- [j8]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): 1640003:1-1640003:9 (2016) - [j7]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: 176-180 (2016) - 2015
- [j6]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): 925-934 (2015) - 2014
- [c8]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: 90361F - 2013
- [c7]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: 125-133 - [c6]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: 380-387 - [i6]Tina Kapur, Jan Egger, Antonio Damato, Ehud J. Schmidt, Akila N. Viswanathan:
3T MR-Guided Brachytherapy for Gynecologic Malignancies. CoRR abs/1302.5666 (2013) - [i5]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 abs/1303.0964 (2013) - [i4]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 abs/1309.1863 (2013) - 2012
- [j5]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): 183-203 (2012) - [j4]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): 176-180 (2012) - [c5]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: 1129-1132 - [c4]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: 19-26 - [i3]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 abs/1203.2839 (2012) - [i2]Jan Egger, Bernd Freisleben, Christopher Nimsky, Tina Kapur:
Template-Cut: A Pattern-Based Segmentation Paradigm. CoRR abs/1205.6605 (2012) - [i1]Jan Egger, Tina Kapur, Christopher Nimsky, Ron Kikinis:
Pituitary Adenoma Volumetry with 3D Slicer. CoRR abs/1212.2860 (2012)
2000 – 2009
- 2006
- [c3]Ron Kikinis, Tina Kapur, Martha Elizabeth Shenton, Jeffrey S. Grethe, Mark H. Ellisman:
"Big Science" and Schizophrenia. ISBI 2006: 804-805 - 2003
- [j3]Anthony J. Yezzi, Lilla Zöllei, Tina Kapur:
A variational framework for integrating segmentation and registration through active contours. Medical Image Anal. 7(2): 171-185 (2003)
1990 – 1999
- 1999
- [b1]Tina Kapur:
Model based three dimensional medical image segmentation. Massachusetts Institute of Technology, Cambridge, MA, USA, 1999 - 1998
- [c2]Tina Kapur, W. Eric L. Grimson, Ron Kikinis, William M. Wells III:
Enhanced Spatial Priors for Segmentation of Magnetic Resonance Imagery. MICCAI 1998: 457-468 - 1997
- [j2]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): 1367-1397 (1997) - 1996
- [j1]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): 109-127 (1996) - 1995
- [c1]Tina Kapur, W. Eric L. Grimson, Ron Kikinis:
Segmentation of Brain Tissue from MR Images. CVRMed 1995: 429-433
Coauthor Index
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