[HTML][HTML] Results of 2023 survey on the use of synthetic computed tomography for magnetic resonance Imaging-only radiotherapy: Current status and future steps

M Fusella, EA Andres, F Villegas, L Milan… - Physics and Imaging in …, 2024 - Elsevier
Background and purpose The emergence of synthetic CT (sCT) in MR-guided radiotherapy
(MRgRT) represents a significant advancement, supporting MR-only workflows and online …

[HTML][HTML] Indirect deformable image registration using synthetic image generated by unsupervised deep learning

C Hémon, B Texier, H Chourak, A Simon… - Image and Vision …, 2024 - Elsevier
Background and purpose 3D image registration is now common in many medical domains.
Multimodal registration implies the use of different imaging modalities, which results in lower …

Balancing data consistency and diversity: Preprocessing and online data augmentation for multi-center deep learning-based MR-to-CT synthesis

S Han, B Texier, C Hémon, Y Kortli, A Queffelec… - Pattern Recognition …, 2025 - Elsevier
Abstract Background and Purpose: Deep learning (DL)-based MR-to-CT translation is
crucial for MRI-only radiotherapy, enabling dose planning directly from MRI and bypassing …

Weakly supervised large-scale pancreatic cancer detection using multi-instance learning

S Mandal, K Balraj, H Kodamana, C Arora… - Frontiers in …, 2024 - pmc.ncbi.nlm.nih.gov
Introduction Early detection of pancreatic cancer continues to be a challenge due to the
difficulty in accurately identifying specific signs or symptoms that might correlate with the …

Using Colour Image Segmentation with Magnetic Resonance Images for Computed Tomography Synthesis

J Faucher - 2024 - escholarship.mcgill.ca
This chapter presents a manuscript that will be submitted to Physica Medica: European
Journal of Medical Physics. This work describes our novel approach to CT synthesis …

[PDF][PDF] Physics and Imaging in Radiation Oncology

B Texier, C Hémon, A Queffélec, J Dowling, I Bessieres… - nova.newcastle.edu.au
Background and purpose: Magnetic resonance imaging (MRI)-to-computed tomography
(CT) synthesis is essential in MRI-only radiotherapy work ows, particularly through deep …

[HTML][HTML] 3D Unsupervised deep learning method for magnetic resonance imaging-to-computed tomography synthesis in prostate radiotherapy

B Texier, C Hémon, A Queffélec, J Dowling… - Physics and Imaging in …, 2024 - Elsevier
Background and purpose Magnetic resonance imaging (MRI)-to-computed tomography (CT)
synthesis is essential in MRI-only radiotherapy workflows, particularly through deep learning …