11 papers
Generalizing Soft Tissue Deformation and Force Prediction Across Material Stiffness and Geometry
Madina Kojanazarova, Sidaty El Hadramy, Philippe C. Cattin
Accurate soft tissue simulation is essential for surgical training, pre-operative planning, and haptic feedback systems. While learning-based surrogate models trained on data using…
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…
End2Reg: Learning Task-Specific Segmentation for Markerless Registration in Spine Surgery
Lorenzo Pettinari, Sidaty El Hadramy, Michael Wehrli +4
Intraoperative navigation in spine surgery demands millimeter-level accuracy. Currently, this is achieved through radiation-intensive intraoperative imaging and bone-anchored marke…
NOIR: Neural Operator mapping for Implicit Representations
Sidaty El Hadramy, Nazim Haouchine, Michael Wehrli +1
This paper presents NOIR, a framework that reframes core medical imaging tasks as operator learning between continuous function spaces, challenging the prevailing paradigm of discr…
TabINR: An Implicit Neural Representation Framework for Tabular Data Imputation
Vincent Ochs, Florentin Bieder, Sidaty el Hadramy +4
Tabular data builds the basis for a wide range of applications, yet real-world datasets are frequently incomplete due to collection errors, privacy restrictions, or sensor failures…
Soft Tissue Simulation and Force Estimation from Heterogeneous Structures using Equivariant Graph Neural Networks
Madina Kojanazarova, Sidaty El Hadramy, Jack Wilkie +2
Accurately simulating soft tissue deformation is crucial for surgical training, pre-operative planning, and real-time haptic feedback systems. While physics-based models such as th…