Several papers accepted by MICCAI 2022 by PhD students from the AI for Healthcare CDT
Several PhD researchers from the UKRI CDT in AI for Healthcare (AI4Health CDT) had recent output of their research accepted by the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). MICCAI is one of the leading AI conferences, attracting leading biomedical scientists, engineers, and clinicians from a wide range of disciplines and AI domains.
This is a fantastic achievement, reflecting the outstanding quality and vital importance of the research of the AI4Health PhD researchers. Many congratulations to everyone.
The accepted papers include:
Vimalesvaran, Kavitha, MD: Detecting Aortic Valve Pathology from the 3 Chamber Cine Cardiac MRI View
This paper has also been invited for a presentation, to contribute to the discussion on ‘Computer Aided Diagnosis’.
Basaran, Berke Doga: Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain Images
Open access link available here.
Marcus, Adam, MD: Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network
Nimer, Amr, MD: Digital Quantification of Surgical Expertise & Training Through Full-Body Kinematics and Time Series Clustering
Reynaud, Hadrien: D'ARTAGNAN: Counterfactual Video generation
Open access link available here.
Rosnati, Margherita: Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury
Open access link available here.
The PhD projects are supported by UK Research and Innovation,
UKRI Centre for Doctoral Training in AI for Healthcare grant number EP/S023283/1.
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Britta Ross
Department of Computing
