- Contrastive Learning/Trends in Self-Supervised Learning
- Deep Learning-based medical image registration
- Few-shot Image Synthesis
- Image-to-Image Translation
- Implicit Neural Representations with Deformation
- Medical Visual Question Answering (VQA)
- Neural Network Robustness (adversarial examples)
- Neural Network Verification
- Representation Learning using Generative Models
- Semi/self-supervised Methods for Vessel Segmentation
- Semi-Supervised Learning /Semi-Supervised Federated Learning
- Shape-aware semi-supervised image segmentation
- Shape Completion
- Task Modelling in Meta-learning
- Transformers for Segmentation
- Trends in Data Augmentation
- Unsupervised Anomaly Detection
- Unsupervised Domain Adaptation for Segmentation
- Vision Transformers