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07/13/2023
Uncovering Unique Concept Vectors through Latent Space Decomposition
Interpreting the inner workings of deep learning models is crucial for e...
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04/19/2023
Disentangling Neuron Representations with Concept Vectors
Mechanistic interpretability aims to understand how models store represe...
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04/11/2023
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides
Deep Learning (DL) can predict biomarkers from cancer histopathology. Se...
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02/10/2023
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion Segmentation
The development of automatic segmentation techniques for medical imaging...
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11/09/2022
Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis
This paper focuses on the uncertainty estimation for white matter lesion...
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08/29/2022
Attention-based Interpretable Regression of Gene Expression in Histology
Interpretability of deep learning is widely used to evaluate the reliabi...
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06/30/2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
Distributional shift, or the mismatch between training and deployment da...
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08/04/2020
Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning
The opaqueness of deep learning limits its deployment in critical applic...
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04/09/2019
