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05/06/2023
Autonomous Navigation for Robot-assisted Intraluminal and Endovascular Procedures: A Systematic Review
Increased demand for less invasive procedures has accelerated the adopti...
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03/06/2023
Constrained Reinforcement Learning and Formal Verification for Safe Colonoscopy Navigation
The field of robotic Flexible Endoscopes (FEs) has progressed significan...
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02/21/2023
Weakly Supervised Temporal Convolutional Networks for Fine-grained Surgical Activity Recognition
Automatic recognition of fine-grained surgical activities, called steps,...
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08/02/2022
CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methods
Causal relationships are commonly examined in manufacturing processes to...
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06/30/2022
Colonoscopy Navigation using End-to-End Deep Visuomotor Control: A User Study
Flexible endoscopes for colonoscopy present several limitations due to t...
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03/10/2022
Deliberation in autonomous robotic surgery: a framework for handling anatomical uncertainty
Autonomous robotic surgery requires deliberation, i.e. the ability to pl...
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10/01/2021
Learning from Demonstrations for Autonomous Soft-tissue Retraction
The current research focus in Robot-Assisted Minimally Invasive Surgery ...
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09/06/2021
Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery
Deep Reinforcement Learning (DRL) is a viable solution for automating re...
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02/24/2021
Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedures
Purpose: Automatic segmentation and classification of surgical activity ...
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02/08/2021
