65 citations · 83 across the 8 of their papers we have counts for
8 papers
Progressive Experience Fusion for Multi-Task World Model Control in Endovascular Navigation
Harry Robertshaw, Maxence Boels, Nikola Fischer +4
Autonomous endovascular navigation could support the delivery of mechanical thrombectomy to underserved areas, but controllers must navigate long, multi-stage paths across varying…
DARIL: When Imitation Learning outperforms Reinforcement Learning in Surgical Action Planning
Maxence Boels, Harry Robertshaw, Thomas C Booth +3
Surgical action planning requires predicting future instrument-verb-target triplets for real-time assistance. While teleoperated robotic surgery provides natural expert demonstrati…
UltraFlwr -- An Efficient Federated Surgical Object Detection Framework
Yang Li, Soumya Snigdha Kundu, Maxence Boels +6
Surgical object detection in laparoscopic videos enables real-time instrument identification for workflow analysis and skills assessment, but training robust models such as You Onl…
SWAG: Long-term Surgical Workflow Prediction with Generative-based Anticipation
Maxence Boels, Yang Liu, Prokar Dasgupta +2
While existing approaches excel at recognising current surgical phases, they provide limited foresight and intraoperative guidance into future procedural steps. Similarly, current…
SuPRA: Surgical Phase Recognition and Anticipation for Intra-Operative Planning
Maxence Boels, Yang Liu, Prokar Dasgupta +2
Intra-operative recognition of surgical phases holds significant potential for enhancing real-time contextual awareness in the operating room. However, we argue that online recogni…
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge
Dimitrios Psychogyios, Emanuele Colleoni, Beatrice Van Amsterdam +47
Surgical tool segmentation and action recognition are fundamental building blocks in many computer-assisted intervention applications, ranging from surgical skills assessment to de…
LoViT: Long Video Transformer for Surgical Phase Recognition
Yang Liu, Maxence Boels, Luis C. Garcia-Peraza-Herrera +4
Online surgical phase recognition plays a significant role towards building contextual tools that could quantify performance and oversee the execution of surgical workflows. Curren…
MAPPING: Model Average with Post-processing for Stroke Lesion Segmentation
Jiayu Huo, Liyun Chen, Yang Liu +4
Accurate stroke lesion segmentation plays a pivotal role in stroke rehabilitation research, to provide lesion shape and size information which can be used for quantification of the…