Reproducibility of the Methods in Medical Imaging with Deep Learning

no code implementations • 20 Oct 2022 • Attila Simko, Anders Garpebring, Joakim Jonsson, Tufve Nyholm, Tommy Löfstedt

We have evaluated all accepted full paper submissions to MIDL between 2018 and 2022 using established, but slightly adjusted guidelines on reproducibility and the quality of the public repositories.

Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network

no code implementations • 30 Mar 2022 • Sandeep Kaushik, Mikael Bylund, Cristina Cozzini, Dattesh Shanbhag, Steven F Petit, Jonathan J Wyatt, Marion I Menzel, Carolin Pirkl, Bhairav Mehta, Vikas Chauhan, Kesavadas Chandrasekharan, Joakim Jonsson, Tufve Nyholm, Florian Wiesinger, Bjoern Menze

In this work, we present a method for synthetic CT (sCT) generation from zero-echo-time (ZTE) MRI aimed at structural and quantitative accuracies of the image, with a particular focus on the accurate bone density value prediction.

regression Value prediction

Imaging dynamics beneath turbid media via parallelized single-photon detection

no code implementations • 3 Jul 2021 • Shiqi Xu, Xi Yang, Wenhui Liu, Joakim Jonsson, Ruobing Qian, Pavan Chandra Konda, Kevin C. Zhou, Lucas Kreiss, Qionghai Dai, Haoqian Wang, Edouard Berrocal, Roarke Horstmeyer

Noninvasive optical imaging through dynamic scattering media has numerous important biomedical applications but still remains a challenging task.

Video Reconstruction