Reuben Dorent

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 41

Top Topics

Tissue Segmentation

Automatic Segmentation

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Medical Image Anal.

Publications

Reuben Dorent, Erickson Torio, Nazim Haouchine, Colin Galvin, Sarah F. Frisken, Alexandra J. Golby, Tina Kapur, William M. Wells III
Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound. CoRR (2024)
Kathleen Baur, Xin Xiong, Erickson Torio, Rose Du, Parikshit Juvekar, Reuben Dorent, Alexandra J. Golby, Sarah F. Frisken, Nazim Haouchine
Spatiotemporal Disentanglement of Arteriovenous Malformations in Digital Subtraction Angiography. CoRR (2024)
Aaron Kujawa, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren
Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation. CoRR (2024)
Nazim Haouchine, Reuben Dorent, Parikshit Juvekar, Erickson Torio, William M. Wells III, Tina Kapur, Alexandra J. Golby, Sarah F. Frisken
Learning Expected Appearances for Intraoperative Registration During Neurosurgery. MICCAI (9) (2023)
Reuben Dorent, Nazim Haouchine, Fryderyk Victor Kögl, Samuel Joutard, Parikshit Juvekar, Erickson Torio, Alexandra J. Golby, Sébastien Ourselin, Sarah F. Frisken, Tom Vercauteren, Tina Kapur, William M. Wells III
Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations. CoRR (2023)
Reuben Dorent, Nazim Haouchine, Fryderyk Victor Kögl, Samuel Joutard, Parikshit Juvekar, Erickson Torio, Alexandra J. Golby, Sébastien Ourselin, Sarah F. Frisken, Tom Vercauteren, Tina Kapur, William M. Wells III
Unified Brain MR-Ultrasound Synthesis Using Multi-modal Hierarchical Representations. MICCAI (10) (2023)
Nazim Haouchine, Reuben Dorent, Parikshit Juvekar, Erickson Torio, William M. Wells III, Tina Kapur, Alexandra J. Golby, Sarah F. Frisken
Learning Expected Appearances for Intraoperative Registration during Neurosurgery. CoRR (2023)
Léo Lebrat, Rodrigo Santa Cruz, Reuben Dorent, Javier Urriola Yaksic, Alex M. Pagnozzi, Gregg Belous, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado
Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation. ISBI (2023)
Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. 83 (2023)
Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque R. Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferndinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Küstner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Löffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Arcot Sowmya, Eduardo A. Garza-Villarreal, Thania Balducci, et al.
MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. CoRR (2023)
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, M. Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, B. Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, P. Morais, M. A. Naser, B. Oliveira, D. Owen, S. Pang, J. Park, S. Park, S. Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, N. Saeed, Adam Shephard, P. Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
Why is the Winner the Best? CVPR (2023)
Meng Wei, Charlie Budd, Luis C. García-Peraza-Herrera, Reuben Dorent, Miaojing Shi, Tom Vercauteren
SegMatch: A semi-supervised learning method for surgical instrument segmentation. CoRR (2023)
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.
Why is the winner the best? CoRR (2023)
Samuel Joutard, Thomas S. Pheiffer, Chloé Audigier, Patrick Wohlfahrt, Reuben Dorent, Sebastien Piat, Tom Vercauteren, Marc Modat, Tommaso Mansi
A Multi-organ Point Cloud Registration Algorithm for Abdominal CT Registration. WBIR (2022)
Samuel Joutard, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren, Marc Modat
Driving Points Prediction for Abdominal Probabilistic Registration. MLMI@MICCAI (2022)
Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. CoRR (2022)
Navodini Wijethilake, Aaron Kujawa, Reuben Dorent, Muhammad Asad, Anna Oviedova, Tom Vercauteren, Jonathan Shapey
Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma. MLCN@MICCAI (2022)
Samuel Joutard, Thomas S. Pheiffer, Chloé Audigier, Patrick Wohlfahrt, Reuben Dorent, Sebastien Piat, Tom Vercauteren, Marc Modat, Tommaso Mansi
A multi-organ point cloud registration algorithm for abdominal CT registration. CoRR (2022)
Navodini Wijethilake, Aaron Kujawa, Reuben Dorent, Muhammad Asad, Anna Oviedova, Tom Vercauteren, Jonathan Shapey
Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma. CoRR (2022)
Muhammad Asad, Reuben Dorent, Tom Vercauteren
FastGeodis: Fast Generalised Geodesic Distance Transform. CoRR (2022)
Muhammad Asad, Reuben Dorent, Tom Vercauteren
FastGeodis: Fast Generalised Geodesic Distance Transform. J. Open Source Softw. 7 (79) (2022)
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.
Biomedical image analysis competitions: The state of current participation practice. CoRR (2022)
Samuel Joutard, Reuben Dorent, Tom Vercauteren, Marc Modat
A Pareto front based methodology to better assess medical image registration algorithms. Medical Imaging: Image Processing (2022)
Samuel Joutard, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren, Marc Modat
Driving Points Prediction For Abdominal Probabilistic Registration. CoRR (2022)
Reuben Dorent, Samuel Joutard, Jonathan Shapey, Aaron Kujawa, Marc Modat, Sébastien Ourselin, Tom Vercauteren
Inter Extreme Points Geodesics for Weakly Supervised Segmentation. CoRR (2021)
Fernando Pérez-García, Reuben Dorent, Michele Rizzi, Francesco Cardinale, Valerio Frazzini, Vincent Navarro, Caroline Essert, Irène Ollivier, Tom Vercauteren, Rachel Sparks, John S. Duncan, Sébastien Ourselin
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections. CoRR (2021)
Reuben Dorent, Samuel Joutard, Jonathan Shapey, Aaron Kujawa, Marc Modat, Sébastien Ourselin, Tom Vercauteren
Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation. MICCAI (2) (2021)
Reuben Dorent, Thomas C. Booth, Wenqi Li, Carole H. Sudre, Sina Kafiabadi, Manuel Jorge Cardoso, Sébastien Ourselin, Tom Vercauteren
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets. Medical Image Anal. 67 (2021)
Fernando Pérez-García, Reuben Dorent, Michele Rizzi, Francesco Cardinale, Valerio Frazzini, Vincent Navarro, Caroline Essert, Irène Ollivier, Tom Vercauteren, Rachel Sparks, John S. Duncan, Sébastien Ourselin
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections. Int. J. Comput. Assist. Radiol. Surg. 16 (10) (2021)
Hari McGrath, Peichao Li, Reuben Dorent, Robert Bradford, Shakeel R. Saeed, Sotirios Bisdas, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren
Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI. Int. J. Comput. Assist. Radiol. Surg. 15 (9) (2020)
Reuben Dorent, Thomas C. Booth, Wenqi Li, Carole H. Sudre, Sina Kafiabadi, Manuel Jorge Cardoso, Sébastien Ourselin, Tom Vercauteren
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets. CoRR (2020)
Reuben Dorent, Samuel Joutard, Jonathan Shapey, Sotirios Bisdas, Neil Kitchen, Robert Bradford, Shakeel R. Saeed, Marc Modat, Sébastien Ourselin, Tom Vercauteren
Scribble-based Domain Adaptation via Co-segmentation. CoRR (2020)
Reuben Dorent, Samuel Joutard, Jonathan Shapey, Sotirios Bisdas, Neil Kitchen, Robert Bradford, Shakeel R. Saeed, Marc Modat, Sébastien Ourselin, Tom Vercauteren
Scribble-Based Domain Adaptation via Co-segmentation. MICCAI (1) (2020)
Samuel Joutard, Reuben Dorent, Amanda Isaac, Sébastien Ourselin, Tom Vercauteren, Marc Modat
Permutohedral Attention Module for Efficient Non-local Neural Networks. MICCAI (6) (2019)
Reuben Dorent, Wenqi Li, Jinendra Ekanayake, Sébastien Ourselin, Tom Vercauteren
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets. MIDL (2019)
Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Shaoting Zhang, Sébastien Ourselin, Tom Vercauteren
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. MICCAI (2) (2019)
Reuben Dorent, Samuel Joutard, Marc Modat, Sébastien Ourselin, Tom Vercauteren
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation. CoRR (2019)
Samuel Joutard, Reuben Dorent, Amanda Isaac, Sébastien Ourselin, Tom Vercauteren, Marc Modat
Permutohedral Attention Module for Efficient Non-Local Neural Networks. CoRR (2019)
Reuben Dorent, Samuel Joutard, Marc Modat, Sébastien Ourselin, Tom Vercauteren
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation. MICCAI (2) (2019)
Reuben Dorent, Wenqi Li, Jinendra Ekanayake, Sébastien Ourselin, Tom Vercauteren
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets. CoRR (2019)
Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Sébastien Ourselin, Tom Vercauteren
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. CoRR (2019)