[HTML][HTML] Open and reproducible neuroimaging: from study inception to publication

G Niso, R Botvinik-Nezer, S Appelhoff, A De La Vega… - NeuroImage, 2022 - Elsevier
Empirical observations of how labs conduct research indicate that the adoption rate of open
practices for transparent, reproducible, and collaborative science remains in its infancy. This …

Low‐field MRI of stroke: challenges and opportunities

SS Bhat, TT Fernandes, P Poojar… - Journal of Magnetic …, 2021 - Wiley Online Library
Stroke is a leading cause of death and disability worldwide. The reasons for increased
stroke burden in develo** countries are inadequately controlled risk factors resulting from …

Sharing data is essential for the future of AI in medical imaging

LC Bell, E Shimron - Radiology: Artificial Intelligence, 2023 - pubs.rsna.org
Sharing Data Is Essential for the Future of AI in Medical Imaging | Radiology: Artificial
Intelligence RSNA "skipMainNavigation" closeDrawerMenuopenDrawerMenu Home Journals All …

Quantitative imaging of apoptosis following oncolytic virotherapy by magnetic resonance fingerprinting aided by deep learning

O Perlman, H Ito, K Herz, N Shono… - Nature biomedical …, 2022 - nature.com
Non-invasive imaging methods for detecting intratumoural viral spread and host responses
to oncolytic virotherapy are either slow, lack specificity or require the use of radioactive or …

Pulseq‐CEST: towards multi‐site multi‐vendor compatibility and reproducibility of CEST experiments using an open‐source sequence standard

K Herz, S Mueller, O Perlman, M Zaitsev… - Magnetic resonance …, 2021 - Wiley Online Library
Purpose As the field of CEST grows, various novel preparation periods using different
parameters are being introduced. At the same time, large, multisite clinical studies require …

On‐site construction of a point‐of‐care low‐field MRI system in Africa

J Obungoloch, I Muhumuza, W Teeuwisse… - NMR in …, 2023 - Wiley Online Library
Purpose To describe the construction and testing of a portable point‐of‐care low‐field MRI
system on site in Africa. Methods All of the components to assemble a 50 mT Halbach …

Vendor‐neutral sequences and fully transparent workflows improve inter‐vendor reproducibility of quantitative MRI

A Karakuzu, L Biswas, J Cohen‐Adad… - Magnetic Resonance …, 2022 - Wiley Online Library
Purpose We developed an end‐to‐end workflow that starts with a vendor‐neutral acquisition
and tested the hypothesis that vendor‐neutral sequences decrease inter‐vendor variability …

Deep learning for accelerated and robust MRI reconstruction

R Heckel, M Jacob, A Chaudhari, O Perlman… - … Resonance Materials in …, 2024 - Springer
Deep learning (DL) has recently emerged as a pivotal technology for enhancing magnetic
resonance imaging (MRI), a critical tool in diagnostic radiology. This review paper provides …

MRzero‐automated discovery of MRI sequences using supervised learning

A Loktyushin, K Herz, N Dang, F Glang… - Magnetic …, 2021 - Wiley Online Library
Purpose A supervised learning framework is proposed to automatically generate MR
sequences and corresponding reconstruction based on the target contrast of interest …

MR‐zero meets RARE MRI: Joint optimization of refocusing flip angles and neural networks to minimize T2‐induced blurring in spin echo sequences

HN Dang, J Endres, S Weinmüller… - Magnetic …, 2023 - Wiley Online Library
Purpose An end‐to‐end differentiable 2D Bloch simulation is used to reduce T2 induced
blurring in single‐shot turbo spin echo sequences, also called rapid imaging with refocused …