11 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…
From Pre- to Intra-operative MRI: Predicting Brain Shift in Temporal Lobe Resection for Epilepsy Surgery
Jingjing Peng, Giorgio Fiore, Yang Liu +8
Introduction: In neurosurgery, image-guided Neurosurgery Systems (IGNS) highly rely on preoperative brain magnetic resonance images (MRI) to assist surgeons in locating surgical ta…
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…
Localising under the drape: proprioception in the era of distributed surgical robotic system
Martin Huber, Nicola A. Cavalcanti, Ayoob Davoodi +15
Despite their mechanical sophistication, surgical robots remain blind to their surroundings. This lack of spatial awareness causes collisions, system recoveries, and workflow disru…
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…
WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation
Yang Liu, Silin Cheng, Xinwei He +3
Weakly supervised referring expression comprehension(WREC) and segmentation(WRES) aim to learn object grounding based on a given expression using weak supervision signals like imag…