Area of research
Numerical Analysis · Applied Mathematics
Research interest
Research focused on Artificial intelligence and Segmentation, with related work in Center (category theory), Ventricle, Brain tissue. Notable publications include 'PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation', 'Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge', and 'Enhancing MR image segmentation with realistic adversarial data augmentation'.
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge
Enhancing MR image segmentation with realistic adversarial data augmentation
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation