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2020 – today
- 2024
[c2]Charlie Budd, Tom Vercauteren:
Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency. MICCAI (6) 2024: 692-702- [i7]Charlie Budd, Tom Vercauteren:
Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency. CoRR abs/2403.06683 (2024) - [i6]Oluwatosin Alabi, Ko Ko Zayar Toe, Zijian Zhou, Charlie Budd, Nicholas Raison, Miaojing Shi, Tom Vercauteren:
CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery. CoRR abs/2406.16039 (2024) - [i5]Zhonghao Wang, Junwen Wang, Charlie Budd, Oscar MacCormac, Jonathan Shapey, Tom Vercauteren:
Scribble-Based Interactive Segmentation of Medical Hyperspectral Images. CoRR abs/2408.02708 (2024) - 2023
- [j1]Charlie Budd, Luis C. García-Peraza-Herrera
, Martin Huber, Sébastien Ourselin, Tom Vercauteren:
Rapid and robust endoscopic content area estimation: a lean GPU-based pipeline and curated benchmark dataset. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(4): 1215-1224 (2023) - [c1]Charlie Budd, Jianrong Qiu, Oscar MacCormac, Martin Huber, Christopher E. Mower, Mirek Janatka, Théo Trotouin, Jonathan Shapey, Mads S. Bergholt, Tom Vercauteren:
Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing. MICCAI (9) 2023: 658-667 - [i4]Charlie Budd, Jianrong Qiu, Oscar MacCormac, Martin Huber, Christopher E. Mower, Mirek Janatka, Théo Trotouin, Jonathan Shapey, Mads S. Bergholt, Tom Vercauteren:
Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing. CoRR abs/2307.11638 (2023) - [i3]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 abs/2308.05232 (2023) - 2022
- [i2]Charlie Budd, Luis C. García-Peraza-Herrera, Martin Huber, Sébastien Ourselin, Tom Vercauteren:
Rapid and robust endoscopic content area estimation: A lean GPU-based pipeline and curated benchmark dataset. CoRR abs/2210.14771 (2022) - [i1]M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng:
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (2022)
Coauthor Index
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