MRI Researcher, Associate Professor in BME, Case Western Reserve University & Cleveland Clinic & University Hospitals Cleveland Medical Center
Cleveland
Joined August 2013
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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 mrilab-danma.org/ Let's connect ! @Dukeneurosurg @DukeUBME @DukeUNCBIAC
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 bit.ly/42nN2mz
Dan Ma retweeted
The UltimateSynth training framework could allow your algorithm to generalize across all MR contrasts! Worth a 👀
Paper: doi.org/10.1101/2024.12.05.6…
RadAccess article: bit.ly/RadAccess_E6
👏 @RheaAdams_MRI @MRI_Wally @mri_siyuan @WenjiaoLyu @sahar_ahmad4 @MRI_Dan @pt_yap
Dan Ma retweeted
Will your algorithm stand up to over 150,000 MRI contrasts?
@UNCRadiology @BRIC_UNC
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. UltimateSynth transforms AI training with customizable contrast for annotation, lifespan segmentation, and benchmarking!
biorxiv.org/content/10.1101/…
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. UltimateSynth transforms AI training with customizable contrast for annotation, lifespan segmentation, and benchmarking!
biorxiv.org/content/10.1101/…
Dan Ma retweeted
🧵1: Advancing FCD Detection: Our MRF-ML model achieves over 96% accuracy in distinguishing FCD from healthy controls and over 93% accuracy from disease controls—outperforming traditional MRI review.
Dan Ma retweeted
Thrilled to announce that our paper is the cover feature of Annals of Neurology this November! 📢 We introduce a multiparametric ML framework leveraging high-res 3D MRF to quantitatively characterize FCD. Dive in to check it out: onlinelibrary.wiley.com/doi/…
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.
linkedin.com/posts/ptyap_joi…
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/news-re…
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
Dan Ma retweeted
Discover how interprofessional collaboration is revolutionizing radiology with magnetic resonance fingerprinting imaging. Tune in to the latest episode of Science@UH with host Dan Simon, MD joined by Chaitra Badve, MD and Dan Ma, PhD: tinyurl.com/ywbn5bvy
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/doi/…
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/doi/…
Dan Ma retweeted
Excited to share our recent study using 3D MR fingerprinting and machine learning to reduce false positive clusters for FCD detection, in collaboration with @MRI_Dan! #CleClinicNeuro #NeuroTwitter #epilepsysurgery
Key point: Integrating MRF into presurgical evaluation may facilitate accurate localization of FCD lesions.
doi.org/10.1111/epi.17951
#epilepsy #focalcorticaldysplasia #MRfingerprinting #presurgicalevaluation #MRI #relaxometry #ILAE @IlaeWeb @epilepsiajourn @WileyNeuro
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.
Great celebration day for my first PhD student @mri_siyuan , with my PhD advisor @mrimark and the CASE team! 🎉 #ProudMoment #AppreciationMoment #TeamCelebration @CWRUBME @CWRUSOM
Dan Ma retweeted
𝑵𝒐𝒘 𝒐𝒖𝒕 𝒊𝒏 𝑴𝑹𝑴! Repeat it ✨without ✨me: Crowdsourcing the T1 mapping common ground via the @ISMRM reproducibility challenge. Here’s a quick summary of what we learned by looking at these 95 datasets submitted for the 2020 challenge 🧵1️⃣
doi.org/10.1002/mrm.30111
