1 citations · 1 across the 4 of their papers we have counts for
5 papers
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…
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…
Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation
Nathan Hollet, Oumeymah Cherkaoui, Philippe C. Cattin +1
Liver segmentation is essential for preoperative planning in interventions like tumor resection or transplantation, but implementation in clinical workflows faces challenges due to…
Towards MR-Based Trochleoplasty Planning
Michael Wehrli, Alicia Durrer, Paul Friedrich +5
To treat Trochlear Dysplasia (TD), current approaches rely mainly on low-resolution clinical Magnetic Resonance (MR) scans and surgical intuition. The surgeries are planned based o…
cIDIR: Conditioned Implicit Neural Representation for Regularized Deformable Image Registration
Sidaty El Hadramy, Oumeymah Cherkaoui, Philippe C. Cattin
Regularization is essential in deformable image registration (DIR) to ensure that the estimated Deformation Vector Field (DVF) remains smooth, physically plausible, and anatomicall…