Papers matching “segmentation performance evaluation” 20
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A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis2025 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access
Yuli Wu, Fucheng Liu, Rüveyda Yilmaz, Henning Konermann, Peter Walter, Johannes Stegmaier
1citations -
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 -
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 -
MSA$^2$Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation2024 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Sina Ghorbani Kolahi, S. Kamal Chaharsooghi, Toktam Khatibi, Afshin Bozorgpour, Reza Azad, Moein Heidari, +2 more
6citations -
Looking under the Wrong Lamppost: On the Limitations of Automated Translation Quality Estimation2026 Leiden Repository (Leiden University) preprint Computer Science Natural Language Processing Techniques Open access
Serge Gladkoff, Angelika Vaasa, Sue Ellen Wright, Ingemar Strandvik, Lifeng Han
0citations -
Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Generation2022 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access
Firas Khader, Gustav Mueller-Franzes, Soroosh Tayebi Arasteh, Christoph Haarburger, Maximilian Franz Schulze-Hagen, Philipp Schad, +8 more
21citations -
An Asymmetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans2020 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access
Michael Gadermayr, Maximilian Tschuchnig, Dorit Merhof, Nils Krämer, Daniel Truhn, Burkhard Gess
0citations
20 results