- Automated Semantic/Anatomical Vessel labeling
- Contrastive Language-Image Models in Medical Image Understanding
- Cross-modal learning
- Curvilinear structures segmentation
- Diffusion Models for Medical Imaging
- Graph / Scene Graph Representation Learning
- Incremental Learning in Medical Image Analysis:
- Masking Techniques for Computer Vision and Medical Imaging
- Motion Compensation for Electromagnetically Tracked Catheters
- Multimodal Image Synthesis
- NeRF Applications in Medical Imaging
- Physics Informed Neural Network for Computer Vision and Medical Imaging
- Representation Learning using Generative Model
- Self-Supervised/Unsupervised Image and Medical Imaging Segmentation
- Self-supervised Vessel Segmentation in X-Ray Coronary Angiography via Adversarial Learning
- SSL representation learning by/for object detection
- Transformers in Image Registration
- Uncertainty estimation for medical segmentation
- Unsupervised Domain Adaptation in Medical Image Analysis
Überblick
Inhalte
Aufgabenbericht