MONAI: An open-source framework for deep learning in healthcare. - M. Jorge Cardoso; Wenqi Li 001; Richard Brown 004; Nic Ma; Eric Kerfoot; Yiheng Wang; Benjamin Murray; Andriy Myronenko; Can Zhao 001; Dong Yang 005; Vishwesh Nath; Yufan He; et al. (CoRR, 2022)

Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing. - Charlie Budd; Jianrong Qiu; Oscar MacCormac; Martin Huber; Christopher E. Mower; Mirek Janatka; Théo Trotouin; Jonathan Shapey; Mads S. Bergholt; Tom Vercauteren (MICCAI (9), 2023)

SegMatch: A semi-supervised learning method for surgical instrument segmentation. - Meng Wei; Charlie Budd; Luis C. García-Peraza-Herrera; Reuben Dorent; Miaojing Shi; Tom Vercauteren (CoRR, 2023)

Rapid and robust endoscopic content area estimation: a lean GPU-based pipeline and curated benchmark dataset. - Charlie Budd; Luis C. García-Peraza-Herrera; Martin Huber; Sébastien Ourselin; Tom Vercauteren (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency. - Charlie Budd; Tom Vercauteren (MICCAI (6), 2024)

CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery. - Oluwatosin Alabi; Ko Ko Zayar Toe; Zijian Zhou 002; Charlie Budd; Nicholas Raison; Miaojing Shi; Tom Vercauteren (CoRR, 2024)

Scribble-Based Interactive Segmentation of Medical Hyperspectral Images. - Zhonghao Wang; Junwen Wang; Charlie Budd; Oscar MacCormac; Jonathan Shapey; Tom Vercauteren (CoRR, 2024)

X-RAFT: Cross-Modal Non-Rigid Registration of Blue and White Light Neurosurgical Hyperspectral Images. - Charlie Budd; Silvère Ségaud; Matthew Elliot; Graeme Stasiuk; Yijing Xie; Jonathan Shapey; Tom Vercauteren (CoRR, 2025)

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation. - Meng Wei; Charlie Budd; Oluwatosin Alabi; Miaojing Shi; Tom Vercauteren (CoRR, 2025)