Dan Ma
@MRI_Dan
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MRI Researcher, Associate Professor in BME, Case Western Reserve University & Cleveland Clinic & University Hospitals Cleveland Medical Center
Cleveland
Joined August 2013
Excited to announce I'll be joining Duke University's Neurosurgery & Biomedical Engineering in 2025! I am recruiting grad students, research associates, and more to build an innovative and collaborative team! .Check out my lab Let's connect !
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Congratulations to Walter Zhao @MRI_Wally , and thanks to @RSNA ! Building on this work, he is tackling all aspects of translating MR Fingerprinting base quantitative imaging and analysis to clinical system for brain tumors ! @MRI_ChaitraB @StaudtMD.
For his 2022 RSNA Research Medical Student Grant project, Walter Zhao, and colleagues aimed to characterize the reproducibility of MRF-derived radiomic features and establish physiological reference ranges for these metrics. @MRI_Wally
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RT @lofiMRI: The UltimateSynth training framework could allow your algorithm to generalize across all MR contrasts! Worth a 👀. Paper: https….
radaccess.com
UltimateSynth: A Pan-Contrast PanaceaPoor generalization remains one of the biggest challenges for developers of deep learning algorithms in medical imaging. In an ideal world, we would collect...
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Exciting work led by @RheaAdams_MRI in collaboration with @pt_yap on UltimateSynth, a pan-contrast MRI synthesis framework powered by MR physics that generates realistic MR images across the full contrast spectrum, independent of sequence, scan, vendor, or contrast type.
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RT @irenezhongwang: 🧵1: Advancing FCD Detection: Our MRF-ML model achieves over 96% accuracy in distinguishing FCD from healthy controls an….
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RT @irenezhongwang: Thrilled to announce that our paper is the cover feature of Annals of Neurology this November! 📢 We introduce a multipa….
onlinelibrary.wiley.com
Objective To develop a multiparametric machine-learning (ML) framework using high-resolution 3 dimensional (3D) magnetic resonance (MR) fingerprinting (MRF) data for quantitative characterization...
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Wonderful team and opportunity!!.
Passionate about research at the intersection of MR physics, AI, and neuroscience? We are looking for Post-Doctoral Research Associates and Graduate Research Assistants to join us in contributing to groundbreaking research in computational neuroscience.
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Exciting new R01 to develop imaging tools for opioid-exposed babies at risk for developmental delays, with amazing MPI Dr. Deanne Wilson-Costello, neonatologist at UH Rainbow Babies, and Dr. Pew-Thian Yap @pt_yap at UNC.
news.uhhospitals.org
With a $3 million grant from NIH, experts are using advanced imaging technology to better understand changes in the infant brain that may accompany Neonatal Abstinence Syndrome.
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Question: any tips for MR scanning a ~2-year-old without sedation ? After several unsuccessful trials, it's not about fixing motion during the scan -- it's about getting them to lay down and start the scan. Suggestions ? #pediatricMR.
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RT @UH_RE_Institute: Discover how interprofessional collaboration is revolutionizing radiology with magnetic resonance fingerprinting imagi….
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Self-calibrated reconstruction to tackle artifacts in relaxation-diffusion MRF scans. Our method monitors and corrects magnitude and phase errors in DP-SSFP based MRF. @MRI_Zhilang
onlinelibrary.wiley.com
Purpose To propose a new reconstruction method for multidimensional MR fingerprinting (mdMRF) to address shading artifacts caused by physiological motion-induced measurement errors without navigati...
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We introduce a new model called the Systematic Error Index (SEI), which drastically reduces computational time when optimizing MRF scans with 2, 3, 4 and more tissue properties ! All optimized pulse sequences are available in Github! @mri_siyuan
onlinelibrary.wiley.com
Purpose For effective optimization of MR fingerprinting (MRF) pulse sequences, estimating and minimizing errors from actual scan conditions are crucial. Although virtual-scan simulations offer an...
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Winner of the award for Excellence in Graduate Teaching Assistants: Walter Zhao 🎉. Congratulations to all 2024 graduate student award winners! 👏🏼
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RT @irenezhongwang: Excited to share our recent study using 3D MR fingerprinting and machine learning to reduce false positive clusters for….
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Woohoo 🎉🎊look forward to the amazing journey! And thank you @lkayat and Yong Chen for guiding me through exciting opportunities in #prostatecancer research and clinical impact!.
Some amazing news to end the week! .Just got my first #NIH R01 grant awarded, with amazing co-PIs @MRI_Dan and Yong Chen. Looking forward to helping further advance MRI-directed diagnostic pathways of #prostatecancer to the benefit of our patients.
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Great celebration day for my first PhD student @mri_siyuan , with my PhD advisor @mrimark and the CASE team! 🎉 #ProudMoment #AppreciationMoment #TeamCelebration @CWRUBME @CWRUSOM
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RT @agahkarakuzu: 𝑵𝒐𝒘 𝒐𝒖𝒕 𝒊𝒏 𝑴𝑹𝑴! Repeat it ✨without ✨me: Crowdsourcing the T1 mapping common ground via the @ISMRM reproducibility challen….
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