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Bio
Reuben is a Postdoctoral Research Fellow in the Department of Neurosurgery at Brigham & Women's Hospital and Harvard Medical School. Before joining the lab, he completed his Ph.D. on automated MR brain segmentation methods at King's College London (United Kingdom). Before this, Reuben completed an MSc in Applied Mathematics at CentraleSupelec and an MSc in Computer Science at Ecole Normale Superieure Paris Saclay.
Reuben's research focuses on developing image-based technologies for intra-operative guidance during neurosurgery. Specifically, his project aims to register preoperative MRI with intra-operative ultrasound and provide real-time delineation of brain tumors in ultrasound imaging. His research lies at the intersection of multiple branches of Machine Learning: Multi-Task Learning, Hetero-Modal Learning (dealing with missing imaging modalities), Domain Adaptation, and Weakly Supervised Learning.
Research Interests
Papers共 36 篇Author StatisticsCo-AuthorSimilar Experts
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Aaron Kujawa,Reuben Dorent,Steve Connor, Suki Thomson,Marina Ivory, Ali Vahedi,Emily Guilhem,Navodini Wijethilake,Robert Bradford,Neil Kitchen,Sotirios Bisdas,Sebastien Ourselin,
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE (2024): 1365727-1365727
CoRR (2024)
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CoRR (2024)
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Parikshit Juvekar,Reuben Dorent,Fryderyk Kögl,Erickson Torio,Colton Barr,Laura Rigolo, Colin Galvin,Nick Jowkar,Anees Kazi,Nazim Haouchine, Harneet Cheema,Nassir Navab,
Scientific datano. 1 (2024): 494-494
Neurosurgeryno. Supplement_1 (2024): 60-60
Kathleen Baur, Xin Xiong,Erickson Torio,Rose Du,Parikshit Juvekar,Reuben Dorent,Alexandra Golby,Sarah Frisken,Nazim Haouchine
CoRR (2024)
CoRR (2023)
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT X (2023): 448-458
Léo Lebrat,Rodrigo Santa Cruz,Reuben Dorent, Javier Urriola Yaksic,Alex M. Pagnozzi,Gregg Belous,Pierrick Bourgeat,Jurgen Fripp,Clinton Fookes, Olivier Salvado
ISBIpp.1-5, (2023)
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