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Beyond rankings: Learning (more) from algorithm validation., , , , , , , , , and 7 other author(s). Medical Image Anal., (May 2023)How can we learn (more) from challenges? A statistical approach to driving future algorithm development., , , , , , , , , and 5 other author(s). CoRR, (2021)Understanding Automatic Diagnosis and Classification Processes with Data Visualization., , , and . ICHMS, page 1-6. IEEE, (2020)Assessing vascular complexity of PAOD patients by deep learning-based segmentation and fractal dimension., , , , , , , , , and . Neural Comput. Appl., 34 (24): 22015-22022 (2022)Understanding Automatic Pneumonia Classification Using Chest X-Ray Images., and . AI*IA, volume 12414 of Lecture Notes in Computer Science, page 37-50. Springer, (2020)Artificial Intelligence in Medicine: From Imaging to Omics., , , , and . Ital-IA, volume 3486 of CEUR Workshop Proceedings, page 140-145. CEUR-WS.org, (2023)A Parallelization Approach for Hybrid-AI-based Models: an Application Study for Semantic Segmentation of Medical Images., , and . HYDRA/RCRA@LPNMR, volume 3281 of CEUR Workshop Proceedings, page 9-20. CEUR-WS.org, (2022)DeduDeep: An Extensible Framework for Combining Deep Learning and ASP-Based Models., , and . LPNMR, volume 13416 of Lecture Notes in Computer Science, page 505-510. Springer, (2022)Using CNNs for Designing and Implementing an Automatic Vascular Segmentation Method of Biomedical Images., , , , , , and . AI*IA, volume 11298 of Lecture Notes in Computer Science, page 60-70. Springer, (2018)Classification and Survival Prediction in Diffuse Large B-Cell Lymphoma by Gene Expression Profiling., , and . LOD, volume 11331 of Lecture Notes in Computer Science, page 166-178. Springer, (2018)