Anthony Traboulsee

18 papers B 2Journal 6Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Monitoring morphometric drift in lifelong learning segmentation of the spinal cord.
CoRR
Enamundram Naga Karthik, Sandrine Bédard, Jan Valosek, Christoph S. Aigner, Elise Bannier, Josef Bednarík, Virginie Callot, Anna J. E. Combes, Armin Curt, Gergely Dávid, Falk Eippert, Lynn Farner, Michael G. Fehlings, Patrick Freund, Tobias Granberg, Cristina Granziera, RHSCIR Network Imaging Group, Ulrike Horn, Tomás Horák, Suzanne Humphreys, Markus Hupp, Anne Kerbrat, Nawal Kinany, Shannon H. Kolind, Petr Kudlicka, Anna Lebret, Lisa Eunyoung Lee, Caterina Mainero, Allan R. Martin, Megan McGrath, Govind Nair, Kristin P. O'Grady, Jiwon Oh, Russell Ouellette, Nikolai Pfender, Dario Pfyffer, Pierre-François Pradat, Alexandre Prat, Emanuele Pravatà, Daniel S. Reich, Ilaria Ricchi, Naama Rotem-Kohavi, Simon Schading-Sassenhausen, Maryam Seif, Andrew C. Smith, Seth A. Smith, Grace Sweeney, Roger C. Tam, Anthony Traboulsee, Constantina Andrada Treaba, Charidimos Tsagkas, Zachary Vavasour, Dimitri Van De Ville, Kenneth Arnold Weber II, Sarath Chandar, Julien Cohen-Adad
2020 J jnl
Myelin water imaging data analysis in less than one minute.
NeuroImage
Hanwen Liu, Qing-San Xiang, Roger C. Tam, Adam V. Dvorak, Alex L. MacKay, Shannon H. Kolind, Anthony Traboulsee, Irene M. Vavasour, David K. B. Li, John K. Kramer, Cornelia Laule
2019 J jnl
Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Youngjin Yoo, Lisa Y. W. Tang, David K. B. Li, Luanne Metz, Shannon H. Kolind, Anthony Traboulsee, Roger C. Tam
2017 — conf
Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut Connections.
DLMIA/ML-CDS@MICCAI
Adam Porisky, Tom Brosch, Emil Ljungberg, Lisa Y. W. Tang, Youngjin Yoo, Benjamin De Leener, Anthony Traboulsee, Julien Cohen-Adad, Roger C. Tam
2017 — conf
Hierarchical Multimodal Fusion of Deep-Learned Lesion and Tissue Integrity Features in Brain MRIs for Distinguishing Neuromyelitis Optica from Multiple Sclerosis.
MICCAI (3)
Youngjin Yoo, Lisa Y. W. Tang, Su-Hyun Kim, Ho Jin Kim, Lisa Eunyoung Lee, David K. B. Li, Shannon H. Kolind, Anthony Traboulsee, Roger C. Tam
2016 — conf
Corpus Callosum Segmentation in Brain MRIs via Robust Target-Localization and Joint Supervised Feature Extraction and Prediction.
MICCAI (2)
Lisa Y. W. Tang, Tom Brosch, Xingtong Liu, Youngjin Yoo, Anthony Traboulsee, David K. B. Li, Roger C. Tam
2016 J jnl
Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation.
IEEE Trans. Medical Imaging
Tom Brosch, Lisa Y. W. Tang, Youngjin Yoo, David K. B. Li, Anthony Traboulsee, Roger C. Tam
2016 — conf
Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple Sclerosis.
LABELS/DLMIA@MICCAI
Youngjin Yoo, Lisa Y. W. Tang, Tom Brosch, David K. B. Li, Luanne Metz, Anthony Traboulsee, Roger C. Tam
2015 B conf
A sensitive and efficient method for measuring change in cortical thickness using fuzzy correspondence in Alzheimer's disease.
ICIP
Saurabh Garg, Lisa Tang, Anthony Traboulsee, Roger C. Tam
2015 — conf
Corpus Callosum Segmentation in MS Studies Using Normal Atlases and Optimal Hybridization of Extrinsic and Intrinsic Image Cues.
MICCAI (3)
Lisa Y. W. Tang, Ghassan Hamarneh, Anthony Traboulsee, David K. B. Li, Roger C. Tam
2015 — conf
Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation.
MICCAI (3)
Tom Brosch, Youngjin Yoo, Lisa Y. W. Tang, David K. B. Li, Anthony Traboulsee, Roger C. Tam
2014 — conf
Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation.
MLMI
Youngjin Yoo, Tom Brosch, Anthony Traboulsee, David K. B. Li, Roger C. Tam
2014 — conf
Modeling the Variability in Brain Morphology and Lesion Distribution in Multiple Sclerosis by Deep Learning.
MICCAI (2)
Tom Brosch, Youngjin Yoo, David K. B. Li, Anthony Traboulsee, Roger C. Tam
2008 J jnl
Complementary information from multi-exponential T
NeuroImage
Shannon H. Kolind, Cornelia Laule, Irene M. Vavasour, David K. B. Li, Anthony Traboulsee, Burkhard Mädler, G. R. Wayne Moore, Alex L. MacKay
2008 — conf
Invariant 3D spharm features for characterizing fMRI activations in ROIs while minimizing effects of intersubject anatomical variability.
ISBI
Ashish Uthama, Rafeef Abugharbieh, Samantha J. Palmer, Anthony Traboulsee, Martin J. McKeown
2008 J jnl
SPHARM-Based Spatial fMRI Characterization With Intersubject Anatomical Variability Reduction.
IEEE J. Sel. Top. Signal Process.
Ashish Uthama, Rafeef Abugharbieh, Samantha J. Palmer, Anthony Traboulsee, Martin J. McKeown
2006 — conf
Automatic MRI brain tissue segmentation using a hybrid statistical and geometric model.
ISBI
Albert Huang, Rafeef Abugharbieh, Roger C. Tam, Anthony Traboulsee
2006 B conf
Brain extraction using geodesic active contours.
Image Processing
Albert Huang, Rafeef Abugharbieh, Roger C. Tam, Anthony Traboulsee