126 citations · 129 across the 7 of their papers we have counts for
7 papers
HyperShape: Hyperelasticity Across Diverse Shapes
Leo Widmer, Sidaty El Hadramy, Stéphane Cotin +1
Hyperelastic deformations are highly sensitive to domain geometry and boundary conditions, making generalization across both a critical capability for neural operators applied to t…
DefSynUS: Real-time Patient-specific Intrahepatic Vessel Identification via Deformation-Aware CT-US Domain Adaptation
Karl-Philippe Beaudet, Yordanka Velikova, Sidaty El Hadramy +4
Purpose: Laparoscopic ultrasound (LUS) enhances the safety of liver surgery by visualizing intrahepatic vessels in real-time. Still, vessel identification remains difficult due to…
A digital twin for microwave liver treatment replanning
Ilias Nahmed, Francesco Dettori, Juan Verde +3
Purpose: MicroWave Ablation (MWA) modeling and simulation bear great potential for loco-regional treatment of liver tumors. However, accurately positioning the antenna according to…
Optimization-Based Calibration for Intravascular Ultrasound Volume Reconstruction
Karl-Philippe Beaudet, Sidaty El Hadramy, Philippe C Cattin +2
Intraoperative ultrasound images are inherently challenging to interpret in liver surgery due to the limited field of view and complex anatomical structures. Bridging the gap betwe…
Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery
Karl-Philippe Beaudet, Alexandros Karargyris, Sidaty El Hadramy +4
While laparoscopic liver resection is less prone to complications and maintains patient outcomes compared to traditional open surgery, its complexity hinders widespread adoption du…
A Zero-Shot Reinforcement Learning Strategy for Autonomous Guidewire Navigation
Valentina Scarponi, Michel Duprez, Florent Nageotte +1
Purpose: The treatment of cardiovascular diseases requires complex and challenging navigation of a guidewire and catheter. This often leads to lengthy interventions during which th…
Simulation of hyperelastic materials in real-time using Deep Learning
Andrea Mendizabal, Pablo Márquez-Neila, Stéphane Cotin
The finite element method (FEM) is among the most commonly used numerical methods for solving engineering problems. Due to its computational cost, various ideas have been introduce…