Reuben Dorent
Researcher in Computer Vision
I am currently a postdoctoral fellow at Harvard Medical School working with Prof. Sandy Wells. Prior to that, I did my PhD under the supervision of Prof. Tom Vercauteren at King’s College London.
I believe that all available data, even incomplete data and data with missing, incomplete, or partial annotations should be exploited to build robust and flexible machine learning models.
I am primarily interested in computer vision with a focus on medical applications. My main research interests are:
- Weakly Supervised Learning: Learning image segmentation and registration using weak labels (partial annotations, scribbles, points).
- Domain Adaptation: Transfering the knowledge learned from one modality to another.
- Representation Learning: Discovering joint representations of multimodal data to handle incomplete sets of input data at training and inference times.
Contact: r[surname]@bwh.harvard.edu
Selected publications
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Unified Brain MR-Ultrasound Synthesis Using Multi-modal Hierarchical RepresentationsIn Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, Sep 2023