2 citations · 3 across the 3 of their papers we have counts for
3 papers
Decoupled conditional contrastive learning with variable metadata for prostate lesion detection
Camille Ruppli, Pietro Gori, Roberto Ardon +1
Early diagnosis of prostate cancer is crucial for efficient treatment. Multi-parametric Magnetic Resonance Images (mp-MRI) are widely used for lesion detection. The Prostate Imagin…
Optimizing transformations for contrastive learning in a differentiable framework
Camille Ruppli, Pietro Gori, Roberto Ardon +1
Current contrastive learning methods use random transformations sampled from a large list of transformations, with fixed hyperparameters, to learn invariance from an unannotated da…
Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification
Martin Charachon, Céline Hudelot, Paul-Henry Cournède +2
Explaining decisions of black-box classifiers is paramount in sensitive domains such as medical imaging since clinicians confidence is necessary for adoption. Various explanation a…