Scholar
Reuben Dorent
Google Scholar ID: xdECLMkAAAAJ
Inria
Citations & Impact
Citations
1,203
H-index
16
i10-index
22
Publications
20
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- Published paper 'Unified Cross-Modal Image Synthesis with Hierarchical Mixture of Product-of-Experts' (2024); Participated in the CrossMoDA 2021 challenge, which aimed to benchmark cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.
Research Experience
- Currently a Marie Sklodowska-Curie Fellow at Inria Paris-Saclay and Paris Brain Institute, working with Prof. Demian Wassermann and Prof. Olivier Colliot.
Education
- PhD: King's College London, supervised by Prof. Tom Vercauteren; Postdoctoral Fellow: Harvard Medical School, working with Prof. Sandy Wells.
Background
- Research interests: Computer vision, with a focus on medical applications; main research areas include weakly supervised learning, domain adaptation, and representation learning.
Miscellany
- Contact: reuben.[surname]@inria.fr
