Papers matching “deep learning segmentation” 35
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Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Francesco Santini, Jakob Wasserthal, Abramo Agosti, Xeni Deligianni, Kevin R. Keene, Hermien E. Kan, +8 more
20citations -
Subcortical Segmentation of the Fetal Brain in 3D Ultrasound using Deep Learning2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Medical Image Segmentation Techniques Open access
Linde S. Hesse, Moska Aliasi, Felipe A. Moser, Monique C. Haak, Weidi Xie, Mark Jenkinson, +1 more
4citations -
Aggregation of Class Activation Maps for Explaining Deep Learning at a Population Level2026 SSRN Electronic Journal preprint Computer Science Explainable Artificial Intelligence (XAI) Open access
Yanli Li, Xikai Tang, Dennis A Ton, Denis P. Shamonin, Hessam Sokooti, M. Reijnierse, +3 more
0citations -
Multi-Objective Deep-Learning-based Biomechanical Deformable Image Registration with MOREA2025 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Georgios Andreadis, Eduard Ruiz Munné, Thomas Bäck, Peter A. N. Bosman, Tanja Alderliesten
1citations -
CMRINet: Joint Groupwise Registration and Segmentation for Cardiac Function Quantification from Cine-MRI2025 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Mohamed S. Elmahdy, Marius Staring, Patrick J. H. de Koning, Samer Alabed, Mahan Salehi, Faisal Alandejani, +4 more
0citations -
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Monika Grewal, Dustin van Weersel, Henrike G. Westerveld, Peter A. N. Bosman, Tanja Alderliesten
1citations