Machine learning in connectomics: from representation learning to model fitting

Domain Adaptation and Representation Transfer

Unsupervised Bias Discovery in Medical Image Segmentation

Towards Unraveling Calibration Biases in Medical Image Analysis

Maximum Entropy on Erroneous Predictions: Improving Model Calibration for Medical Image Segmentation

Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models

Assessing robustness and generalization of a deep neural network for brain MS lesion segmentation on real-world data

Supervision by Denoising

Deep net detection and onset prediction of electrographic seizure patterns in responsive neurostimulation

A Diamond Machine for Strong Evaluation

Two Decreasing Measures for Simply Typed Lambda-Terms (Extended Version)

MEV in fixed gas price blockchains: Terra Classic as a case of study

Toolkit to Examine Lifelike Language (TELL): An app to capture speech and language markers of neurodegeneration

Complementarity between quantum coherence and mixedness: a majorization approach

Simultaneous quantum estimation of phase and indistinguishability in a two-photon interferometer