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…
