January 01, 2019 conference-abstract Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation Informatik aktuell DOI: 10.1007/978-3-658-25326-4_7 OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 661 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Atlas-Augmented Semantic Segmentation for Robust Ultra-Low-Field Pediatric Brain Imaging 2026 Lecture notes in computer science conference-paper Computer Science Medical Image Segmentation Techniques Open access 0 citations Addressing Missing Modality Challenges in MRI Images: A Comprehensive Review 2025 Computational Visual Media article Computer Science Medical Image Segmentation Techniques Open access 14 citations Towards fully automated inner ear analysis with deep-learning-based joint segmentation and landmark detection framework 2023 Scientific Reports article Computer Science Medical Image Segmentation Techniques Open access 15 citations Adaptive Preprocessing for Generalization in Cardiac MR Image Segmentation 2021 Lecture notes in computer science conference-paper Computer Science Medical Image Segmentation Techniques 10 citations 4 results References 0