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Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models., , , , , , , , , and 2 other author(s). CoRR, (2024)Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging., , , , , and . CoRR, (2018)Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease., , , , and . CoRR, (2021)Revisiting Skin Tone Fairness in Dermatological Lesion Classification., , , , , and . CLIP/FAIMI/EPIMI@MICCAI, volume 14242 of Lecture Notes in Computer Science, page 246-255. Springer, (2023)Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge., , , , , , , , , and 30 other author(s). IEEE J. Biomed. Health Informatics, 27 (7): 3302-3313 (July 2023)High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection., , , , , , , , , and . CoRR, (2022)medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging., , , , , , , , , and 2 other author(s). CoRR, (2022)Automatic segmentation of brain structures in magnetic resonance images using deep learning techniques.. University of Girona, Spain, (2020)Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features., , , , , , and . CoRR, (2017)Survival prediction using ensemble tumor segmentation and transfer learning., , , , , , , , and . CoRR, (2018)