Deep Learning How to Fit an Intravoxel Incoherent Motion Model to Diffusion-Weighted MRI. - Sebastiano Barbieri; Oliver J. Gurney-Champion; Remy Klaassen; Harriet C. Thoeny (CoRR, 2019)

Improved unsupervised physics-informed deep learning for intravoxel-incoherent motion modeling and evaluation in pancreatic cancer patients. - Misha P. T. Kaandorp; Sebastiano Barbieri; Remy Klaassen; Hanneke W. M. van Laarhoven; Hans Crezee; Peter T. While; Aart J. Nederveen; Oliver J. Gurney-Champion (CoRR, 2020)

Deep learning DCE-MRI parameter estimation: Application in pancreatic cancer. - Tim Ottens; Sebastiano Barbieri; Matthew R. Orton; Remy Klaassen; Hanneke W. M. van Laarhoven; Hans Crezee; Aart J. Nederveen; Xiantong Zhen; Oliver J. Gurney-Champion (Medical Image Anal., 2022)

Acquisition-Independent Deep Learning for Quantitative MRI Parameter Estimation using Neural Controlled Differential Equations. - Daan Kuppens; Sebastiano Barbieri; Daisy van den Berg; Pepijn Schouten; Harriet C. Thoeny; Myrte Wennen; Oliver J. Gurney-Champion (CoRR, 2024)

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. - Evi M. C. Huijben; Maarten L. Terpstra; Arthur Jr Galapon; Suraj Pai; Adrian Thummerer; Peter Koopmans; Manya Afonso; Maureen A. J. M. van Eijnatten; Oliver J. Gurney-Champion; Zeli Chen; Yiwen Zhang; Kaiyi Zheng; et al. (Medical Image Anal., 2024)