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Improving Machine Hearing on Limited Data Sets., , , , and . ICUMT, page 1-6. IEEE, (2019)Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems., , , , , , , , and . J. Math. Imaging Vis., 62 (3): 395 (2020)Blood vessel segmentation in en-face OCTA images: a frequency based method., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Navigating the development challenges in creating complex data systems., , , , , , , , , and 20 other author(s). Nat. Mac. Intell., 5 (7): 681-686 (July 2023)Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodology., , , , , and . BioNLP@ACL, page 212-235. Association for Computational Linguistics, (2024)Machines listening to music: the role of signal representations in learning from music., , , , and . CoRR, (2019)Points on manifolds with asymptotically optimal covering radius., , and . J. Complex., (2018)An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans., , , , , , and . OMIA@MICCAI, volume 11855 of Lecture Notes in Computer Science, page 26-34. Springer, (2019)A study on the adequacy of common IQA measures for medical images., , , , , , , , , and 3 other author(s). CoRR, (2024)A study of why we need to reassess full reference image quality assessment with medical images., , , , , , , , , and 4 other author(s). CoRR, (2024)