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Visual Explanations for the Detection of Diabetic Retinopathy from Retinal Fundus Images.

, , , , , , , и . MICCAI (2), том 13432 из Lecture Notes in Computer Science, стр. 539-549. Springer, (2022)

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Lisa Koch

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Oleg Lisagor

 

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Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?, , и . MICCAI (2), том 14221 из Lecture Notes in Computer Science, стр. 425-434. Springer, (2023)An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation., , , и . STACOM@MICCAI, том 10663 из Lecture Notes in Computer Science, стр. 111-119. Springer, (2017)Learning to Segment Medical Images with Scribble-Supervision Alone., , , , , и . DLMIA/ML-CDS@MICCAI, том 11045 из Lecture Notes in Computer Science, стр. 236-244. Springer, (2018)Self-Aligning Manifolds for Matching Disparate Medical Image Datasets., , , , , , , и . IPMI, том 9123 из Lecture Notes in Computer Science, стр. 363-374. Springer, (2015)Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?, , , , , , , , , и 27 other автор(ы). IEEE Trans. Medical Imaging, 37 (11): 2514-2525 (2018)Benchmarking Retinal Blood Vessel Segmentation Models for Cross-Dataset and Cross-Disease Generalization., , , , и . CoRR, (2024)Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging., , , , , и . CoRR, (2024)Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals., , , , и . MIDL, том 227 из Proceedings of Machine Learning Research, стр. 937-956. PMLR, (2023)Visual Explanations for the Detection of Diabetic Retinopathy from Retinal Fundus Images., , , , , , , и . MICCAI (2), том 13432 из Lecture Notes in Computer Science, стр. 539-549. Springer, (2022)Employing Weak Annotations for Medical Image Analysis Problems., , , , , , и . CoRR, (2017)