2 citations · 2 across the 6 of their papers we have counts for
11 papers
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…