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09/15/2023
Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations
We introduce MHVAE, a deep hierarchical variational auto-encoder (VAE) t...
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08/09/2023
SegMatch: A semi-supervised learning method for surgical instrument segmentation
Surgical instrument segmentation is recognised as a key enabler to provi...
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08/05/2022
Driving Points Prediction For Abdominal Probabilistic Registration
Inter-patient abdominal registration has various applications, from phar...
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03/15/2022
A multi-organ point cloud registration algorithm for abdominal CT registration
Registering CT images of the chest is a crucial step for several tasks s...
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01/08/2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation
Domain Adaptation (DA) has recently raised strong interests in the medic...
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07/25/2019
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation
We propose a new deep learning method for tumour segmentation when deali...
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07/07/2019
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets
Brain tissue segmentation from multimodal MRI is a key building block of...
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07/01/2019
Permutohedral Attention Module for Efficient Non-Local Neural Networks
Medical image processing tasks such as segmentation often require captur...
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06/10/2019