We develop advanced image analysis algorithms for extracting clinically useful information from raw medical image data. This is what we call Semantic Imaging. Applications include multi-modal segmentation, anatomy recognition, object localization, image classification and learning-based image registration.
Selected publications
Sheaf Theory for Robust Prostate Segmentation, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023
Context Label Learning: Improving Background Class Representations in Semantic Segmentation, IEEE Transactions on Medical Imaging, 2023
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging, Medical Image Analysis, 2023
Federated learning enables big data for rare cancer boundary detection, Nature Communications, 2022
Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort Studies, Scientific Reports, 2022
Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks, Medical Image Analysis, 2022
Evaluation of Deep Learning to Augment Image-Guided Radiotherapy for Head and Neck and Prostate Cancers, JAMA Network Open, 2020
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty, Advances in Neural Information Processing Systems (NeurIPS), 2020
Unpaired Multi-modal Segmentation via Knowledge Distillation, IEEE Transactions on Medical Imaging, 2020
Image-and-Spatial Transformer Networks for Structure-Guided Image Registration, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images, Medical Image Analysis, 2019
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation, IEEE Transactions on Medical Imaging, 2018
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth, IEEE Transactions on Medical Imaging, 2017
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation, Medical Image Analysis, 2017
