48 citations · 59 across the 30 of their papers we have counts for
11 papers · 1 filter
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…
Deep Generative Models for Enhanced Vitreous OCT Imaging
Simone Sarrocco, Philippe C. Cattin, Peter M. Maloca +2
Purpose: To evaluate deep learning (DL) models for enhancing vitreous optical coherence tomography (OCT) image quality and reducing acquisition time. Methods: Conditional Denoising…
CPT-4DMR: Continuous sPatial-Temporal Representation for 4D-MRI Reconstruction
Xinyang Wu, Muheng Li, Xia Li +5
Four-dimensional MRI (4D-MRI) is an promising technique for capturing respiratory-induced motion in radiation therapy planning and delivery. Conventional 4D reconstruction methods,…
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 Diagnostic Quality Flat-Panel Detector CT Imaging Using Diffusion Models
Hélène Corbaz, Anh Nguyen, Victor Schulze-Zachau +5
Patients undergoing a mechanical thrombectomy procedure usually have a multi-detector CT (MDCT) scan before and after the intervention. The image quality of the flat panel detector…
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…
fastWDM3D: Fast and Accurate 3D Healthy Tissue Inpainting
Alicia Durrer, Florentin Bieder, Paul Friedrich +3
Healthy tissue inpainting has significant applications, including the generation of pseudo-healthy baselines for tumor growth models and the facilitation of image registration. In…
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…
Conditional Graph Neural Network for Predicting Soft Tissue Deformation and Forces
Madina Kojanazarova, Florentin Bieder, Robin Sandkühler +1
Soft tissue simulation in virtual environments is becoming increasingly important for medical applications. However, the high deformability of soft tissue poses significant challen…
MedFuncta: A Unified Framework for Learning Efficient Medical Neural Fields
Paul Friedrich, Florentin Bieder, Julian McGinnis +3
Research in medical imaging primarily focuses on discrete data representations that poorly scale with grid resolution and fail to capture the often continuous nature of the underly…