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Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models.

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Rethinking Feature Attribution for Neural Network Explanation.. Technical University of Munich, Germany, (2023)Neural Response Interpretation Through the Lens of Critical Pathways., , , , , and . CVPR, page 13528-13538. Computer Vision Foundation / IEEE, (2021)AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments., , , , , , , and . CoRR, (2023)Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models., , , , , , , and . CoRR, (2022)FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays., , , , , and . MIDL, volume 227 of Proceedings of Machine Learning Research, page 1493-1508. PMLR, (2023)Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features., , , , , , , and . MICCAI (3), volume 12903 of Lecture Notes in Computer Science, page 391-401. Springer, (2021)Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information., , , , , and . NeurIPS, page 20040-20051. (2021)A Dual-Perspective Approach to Evaluating Feature Attribution Methods., , , , , and . CoRR, (2023)Spatio-Temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation., , , , , , and . BrainLes@MICCAI (1), volume 12658 of Lecture Notes in Computer Science, page 111-121. Springer, (2020)On the reproducibility of expert-operated and robotic ultrasound acquisitions., , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 12 (6): 1003-1011 (2017)