2 citations · 2 across the 4 of their papers we have counts for
5 papers
ARCGym: Benchmarking Deep Reinforcement Learning in Autonomous Robotic Colonoscopy
Guanglin Ji, Martina Finocchiaro, Kenny Erleben +1
Simulations for learning-based autonomous colonoscopic navigation focus mainly on fully actuated capsule robots, failing to capture the contact-rich navigation of long and flexible…
MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis
Jiahao Lu, Chong Yin, Silvia Ingala +3
Lung cancer, a leading cause of cancer-related deaths globally, emphasises the importance of early detection for better patient outcomes. Pulmonary nodules, often early indicators…
Neural Kinematic Bases for Fluids
Yibo Liu, Zhixin Fang, Sune Darkner +4
We propose mesh-free fluid simulations that exploit a kinematic neural basis for velocity fields represented by an MLP. We design a set of losses that ensures that these neural bas…
HQColon: A Hybrid Interactive Machine Learning Pipeline for High Quality Colon Labeling and Segmentation
Martina Finocchiaro, Ronja Stern, Abraham George Smith +3
High-resolution colon segmentation is crucial for clinical and research applications, such as digital twins and personalized medicine. However, the leading open-source abdominal se…
Differentiable Rendering as a Way to Program Cable-Driven Soft Robots
Kasra Arnavaz, Kenny Erleben
Soft robots have gained increased popularity in recent years due to their adaptability and compliance. In this paper, we use a digital twin model of cable-driven soft robots to lea…