Publications by Naga Karthik Enamundram

Alumni member

Activity

Towards Automatic Spinal Cord MRI Analysis for Improved Estimation of Imaging Biomarkers
by Naga Karthik Enamundram, with Julien Cohen-Adad and Sarath Chandar as supervisors.
Polytechnique Montréal ⸺ March 2026.
[thesis]

Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?
Enamundram Naga Karthik, Anne Kerbrat, Pierre Labauge, Tobias Granberg, Jason Talbott, Daniel S. Reich, Massimo Filippi, Rohit Bakshi, Virginie Callot, Sarath Chandar, and Julien Cohen-Adad
In ArXiv, 2022.
[Medical Imaging meets NeurIPS, 2022]
#DL, #Other
[arXiv], [code]

Monitoring morphometric drift in lifelong learning segmentation of the spinal cord
Enamundram Naga Karthik, Sandrine Bédard, Jan Valošek, Christoph S. Aigner, Elise Bannier, Josef Bednařík, Virginie Callot, Anna Combes, Armin Curt, Gergely David, Falk Eippert, Lynn Farner, Michael G Fehlings, Patrick Freund, Tobias Granberg, Cristina Granziera, RHSCIR Network Imaging Group, Ulrike Horn, Tomáš Horák, Suzanne Humphreys, Markus Hupp, Anne Kerbrat, Nawal Kinany, Shannon Kolind, Petr Kudlička, 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 Smith, Seth A Smith, Grace Sweeney, Roger Tam, Anthony Traboulsee, Constantina Andrada Treaba, Charidimos Tsagkas, Zachary Vavasour, Dimitri Van De Ville, Kenneth Arnold Weber II, Sarath Chandar, and Julien Cohen-Adad
Imaging Neuroscience, 2026.
#DL, #Other
[mit], [arXiv]

Contrast-agnostic Spinal Cord Segmentation: A Comparative Study of ConvNets and Vision Transformers
Enamundram Naga Karthik, Sandrine Bedard, Jan Valosek, Sarath Chandar, and Julien Cohen-Adad
Medical Imaging with Deep Learning (MIDL), 2024.
#DL, #Other
[openreview]

Label fusion and training methods for reliable representation of inter-rater uncertainty
Andreanne Lemay, Charley Gros, Enamundram Naga Karthik, and Julien Cohen-Adad
The Journal of Machine Learning for Biomedical Imaging (MELBA), 2023.
#DL, #Other
[paper]