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08/18/2023
Decoupled conditional contrastive learning with variable metadata for prostate lesion detection
Early diagnosis of prostate cancer is crucial for efficient treatment. M...
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07/27/2022
Optimizing transformations for contrastive learning in a differentiable framework
Current contrastive learning methods use random transformations sampled ...
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06/21/2021
Leveraging Conditional Generative Models in a General Explanation Framework of Classifier Decisions
Providing a human-understandable explanation of classifiers' decisions h...
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12/14/2020
Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification
Explaining decisions of black-box classifiers is paramount in sensitive ...
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01/16/2017