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President’s Corner #24: Punctuated Equilibrium Evolution
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Reproducible Research Insights with Rohan Kapre and Angelique Y. Louie
Reproducible Research Insights with Rohan Kapre and Angelique Y. Louie
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By Pinar S. Ozbay The July 2023 MRM Highlights Reproducible Research Insights interview is with Rohan Kapre and Angelique Louie, researchers at the University of California, Davis (UC Davis), and authors of a paper entitled “A novel gamma GLM approach to MRI relaxometry comparisons”. This paper was chosen as the MRM Highlights pick of the […]
Reproducible Research Insights with Rohan Kapre and Angelique Y. Louie
By Mark Chiew We are happy to present to the ISMRM community the 2023 edition of the MRM Highlights Magazine in a digital format. Scroll below to browse the magazine, or click here to download the PDF.* *Erratum: The infographic in page 5 contained a few incorrectly coloured countries. The corrected infographic is available here.
MRM Highlights Magazine – Volume 5
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Q&A with Rohan Kapre and Angelique Y. Louie
Dear ISMRM Community, It seems like a decade ago that we were earnestly, and perhaps naively, preparing for an April trip to Sydney. The gyrations in our planning trajectory were a sort of “punctuated equilibrium” evolution. But while the events precipitating it were painful, a new species has risen out of the ashes: this first-ever […]
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By Emilie McKinnon The June 2023 MRM Highlights Reproducible Research Insights interview is with Santiago Estrada and Martin Reuter, researchers at the German Center for Neurodegenerative Diseases in Bonn, Germany, and the A.A. Martinos Center for Biomedical Imaging in Boston, and authors of a paper entitled “FatSegNet: A fully automated deep learning pipeline for adipose […]
Reproducible Research Insights with Santiago Estrada and Martin Reuter
Dear Colleagues, Firstly, thank you for your patience and continued support as we transform the Annual Meeting of the ISMRM and SMRT into a virtual format. We’re writing to tell you a bit about what we have planned for the ISMRM & SMRT Virtual Conference & Exhibition (combined 28th ISMRM Annual Meeting and 29th SMRT […]
2023 Virtual Conference: A Message from Program Chair & Vice-Chair
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Top Downloaded MRM Articles from 2018 and 2023
By Emilie McKinnon June’s MRM Highlights Pick interview is with Santiago Estrada and Martin Reuter, researchers at the German Center for Neurodegenerative Diseases in Bonn, Germany, and the A.A. Martinos Center for Biomedical Imaging in Boston. Their paper is entitled “FatSegNet: a fully automated deep learning pipeline for adipose tissue segmentation on abdominal Dixon MRI”. […]
Q&A with Santiago Estrada and Martin Reuter
By Agah Karakuzu The May 2023 MRM Highlights Reproducible Research Insights interview is with Cristoffer Cordes and Matthias Günther, researchers at Fraunhofer Institute for Digital Medicine MEVIS in Bremen, Germany, and authors of a paper entitled “Portable and platform‐independent MR pulse sequence programs”. This paper was chosen as the MRM Highlights pick of the month […]
老张的技术博客:2021-3-2 · 前言 看见好多人搭建网站需要虚拟主机,但是网上免费的要么不稳定,搞得三天两头数据丢失。要么盗窃用户数据,但是收费的又不划算,不够自己搭建其他网站使用,所伍今天教大家如何用服务器 …
By Agah Karakuzu Leveling the development of pulse sequences is far from a bed of roses. Moreover, product sequences often leave researchers in the dark about implementation details that can contribute to differences in multicenter studies. The authors of the May MRM Highlights pick propose a powerful yet lightweight software solution, gammaSTAR, which was recently […]
Q&A with Cristoffer Cordes and Matthias Günther
By Mathieu Boudreau The April 2023 MRM Highlights Reproducible Research Insights interview is with Jieun Lee and Jongho Lee, researchers at Seoul National University in South Korea, and authors of a paper entitled “Artificial neural network for myelin water imaging”. This paper was chosen as the MRM Highlights pick of the month because it reports […]
Reproducible Research Insights with Jieun Lee and Jongho Lee
By Mathieu Boudreau April’s MRM Highlights Pick interview is with Jieun Lee and Jongho Lee, researchers at Seoul National University in South Korea. Their paper is entitled “Artificial neural network for myelin water imaging”, and it presents a deep learning approach aimed at generating quantitative myelin water imaging maps. This work demonstrated exemplary reproducible research […]
Q&A with Jieun Lee and Jongho Lee
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