Deep Learning

Learn from Crowds

Crowdsourcing, Gamification

Learn from Prior Knowledge

Manifold Learning, Graph Convolutional Networks

Learn to Adapt

Domain Adaptation, Style Transfer

Learn to Learn

Meta-Learning, Few-Shot Learning

Learn to Reason and Explain

Interpretable ML, Disentangled Representation, Fairness

Learn to Recognize

Detection, Classification, Segmentation, Anomaly Detection, Semi-/Weakly-Supervised Learning

Modelling Uncertainty in Deep Learning for Medical Applications

DAAD Funded Project with ETH Zürich and Imperial College London (2020-2022)

Uncertainty Aware Methods for Camera Pose Estimation and Relocalization

BaCaTeC Funded Project with Stanford University and Siemens AG (2020-2021)

Organizing Committee Member at MICCAI DART 2020

Organizing Committee Member at MICCAI DCL 2020