Charidimos Tsagkas

According to our database, Charidimos Tsagkas authored at least 8 papers between 2016 and 2026.

Collaborative distances:

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

2026

Optimization in Sparse 2D to Dense 3D Weakly Supervised Learning: Application to Multi-Label Segmentation of Large ex vivo MRI Data.

Paul Hoareau, Kuan Yi Wang, Brandon Bujak, Roy Sun, Govind Nair, Irene C. M. Cortese, Charidimos Tsagkas, Daniel S. Reich, Julien Cohen-Adad

CoRR, May, 2026

2025

Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis.

Nataliia Molchanova, Alessandro Cagol, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Xinjie Chen, Erin S. Beck, Charidimos Tsagkas, Daniel S. Reich, Colin Vanden Bulcke, Anna Stölting, Serena Borrelli, Pietro Maggi, Adrien Depeursinge, Cristina Granziera, Henning Müller, Pedro M. Gordaliza, Meritxell Bach Cuadra

CoRR, July, 2025

Benchmarking deep learning cortical lesion segmentation in Multiple Sclerosis MRI.

Natalia Molchanova, Alessandro Cagol, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Xinjie Chen, Erin S. Beck, Charidimos Tsagkas, Daniel S. Reich, Colin Vanden Bulcke, Anna Stölting, Serena Borrelli, Pietro Maggi, Adrien Depeursinge, Cristina Granziera, Henning Müller, Pedro M. Gordaliza, Meritxell Bach Cuadra

Dataset, July, 2025

Medical-Image-Analysis-Laboratory/Bench-Explain_DL_Cortical-Lesions: v1.0.1 - Initial Release.

Nataliia Molchanova, Alessandro Cagol, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Xinjie Chen, Erin S. Beck, Charidimos Tsagkas, Daniel S. Reich, Colin Vanden Bulcke, Anna Stölting, Serena Borrelli, Pietro Maggi, Adrien Depeursinge, Cristina Granziera, Henning Müller, Pedro M. Gordaliza, Meritxell Bach Cuadra

Dataset, July, 2025

Monitoring morphometric drift in lifelong learning segmentation of the spinal cord.

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

CoRR, May, 2025

Towards contrast-agnostic soft segmentation of the spinal cord.

Sandrine Bédard, Enamundram Naga Karthik, Charidimos Tsagkas, Emanuele Pravatà, Cristina Granziera, Andrew Smith, Kenneth Arnold Weber II, Julien Cohen-Adad

Medical Image Anal., 2025

2018

Spinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU.

Antal Horváth, Charidimos Tsagkas, Simon Andermatt, Simon Pezold, Katrin Parmar, Philippe C. Cattin

Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2018

2016

Automatic, Robust, and Globally Optimal Segmentation of Tubular Structures.

Simon Pezold, Antal Horváth, Ketut Fundana, Charidimos Tsagkas, Michaela Andelová, Katrin Weier, Michael Amann, Philippe C. Cattin

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016