RESEARCH AREAS      

Deep Learning, Machine Learning, Medical Analysis, Computer Vision, Neuro Imaging, Domain Adaptation, Tool Development for Image Analysis, Compute-Aided Diagnosis.

CURRENT PROJECTS

Our current research areas include computer vision and machine learning-based methods for identification of MR imaging biomarkers for various neurological diseases, semi-supervised techniques for analysis of various imaging modalities, data harmonisation/domain adaptation, image reconstruction and quality improvement.

Information on ongoing research projects can be found here.

ONGOING RESEARCH TOPICS 

1. Semi-supervised methods for out-of-distribution detection.

2. Explainable AI methods for segmentation applications.

3. Multi-modal image analysis.