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20242026
most citedFrom Pre- to Intra-operative MRI: Predicting Brain Shift in Temporal Lobe Resection for Epilepsy Surgery

1 citations · 1 across the 2 of their papers we have counts for

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5 papers

cs.CV20261 cited

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…

cs.RO2025

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…

cs.CV2025

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…

cs.CV2024

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…

eess.IV2024

SAM-I2I: Unleash the Power of Segment Anything Model for Medical Image Translation

Jiayu Huo, Sebastien Ourselin, Rachel Sparks

Medical image translation is crucial for reducing the need for redundant and expensive multi-modal imaging in clinical field. However, current approaches based on Convolutional Neu…