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Multi-scale attention-based instance segmentation for measuring crystals with large size variation., , , , , , , , , and 1 other author(s). CoRR, (2024)Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs., , , , , and . CoRR, (2017)Employing similarity to highlight differences: On the impact of anatomical assumptions in chest X-ray registration methods., , , , , , , , and . Comput. Biol. Medicine, (March 2023)Interpreting Medical Image Classifiers by Optimization Based Counterfactual Impact Analysis., , , , , and . ISBI, page 1096-1100. IEEE, (2020)PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks., , , , , , , , , and . CoRR, (2024)Multi-Task Fusion for Improving Mammography Screening Data Classification., , , , , , and . IEEE Trans. Medical Imaging, 41 (4): 937-950 (2022)Multi-task fusion for improving mammography screening data classification., , , , , , and . CoRR, (2021)Deep Sequential Segmentation of Organs in Volumetric Medical Scans., , , , and . IEEE Trans. Medical Imaging, 38 (5): 1207-1215 (2019)On the Importance of Domain Awareness in Classifier Interpretations in Medical Imaging., , , , , and . IEEE Trans. Medical Imaging, 42 (8): 2286-2298 (2023)Anomaly Detection using Generative Models and Sum-Product Networks in Mammography Scans., , , , , , , and . CoRR, (2022)