Dan Ma

MRI Researcher, Associate Professor in BME, Case Western Reserve University & Cleveland Clinic & University Hospitals Cleveland Medical Center

[Dan Ma @MRI_Dan]

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 https://t.co/WoCUMH60w2 Let's connect ! @Dukeneurosurg @DukeUBME @DukeUNCBIAC

[Dan Ma @MRI_Dan]

@ParisaaArjmand @SinaAhmadiPS Congratulations 🎉

[Dan Ma @MRI_Dan]

@eduardotcorreia @lkayat @UHRadiology Congratulations!

[Dan Ma @MRI_Dan]

@StaudtMD @MRI_Wally @MRI_ChaitraB @UHhospitals @UHCLENeurosurg @UHRadiology @CWRUSOM @cwrumstp Thank you Dr. Staudt !

[Dan Ma @MRI_Dan]

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

[RSNA @RSNA]

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 https://t.co/gZFpSDyZJT

[Dan Ma @MRI_Dan]

@JuanEugenioIgl1 long review ! 😅 but I'd love to compare the results with your most recent model. happy to discuss further.

[Dan Ma @MRI_Dan]

@JuanEugenioIgl1 I enjoyed reading your recent review and new papers :-) which basically cover everything

[Dan Ma @MRI_Dan]

We’ve been following new papers about SynthSeg. :-). From the MR contrast mechanism, we simulate contrast using just a few components: initial magnetization, timing, and relaxation. The results essentially cover a wide contrast spectrum. The time-dependent signal decay also accounts for other contrast mechanisms, such as T2*, diffusion, etc... So basically the simulation is not limited to any specific sequence —I guess that’s the flexibility. we also added spatial randomization to mimic artifacts. Regarding why this approach is more stable than contrast randomization, a mechanism-based comparison is needed.

[Dan Ma @MRI_Dan]

@JuanEugenioIgl1 @RheaAdams_MRI @pt_yap Stay tuned! :-)

[Dan Ma @MRI_Dan]

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!
https://t.co/mJTUQ99P4S

[Campbell 🍅🥫 @lofiMRI]

The UltimateSynth training framework could allow your algorithm to generalize across all MR contrasts! Worth a 👀

Paper: https://t.co/XnCVe2Y5B3
RadAccess article: https://t.co/ut8kIckKjW

👏 @RheaAdams_MRI @MRI_Wally @mri_siyuan @WenjiaoLyu @sahar_ahmad4 @MRI_Dan @pt_yap

[Pew-Thian Yap @pt_yap]

Will your algorithm stand up to over 150,000 MRI contrasts?

@UNCRadiology @BRIC_UNC

[Irene Wang, PhD, FAES @irenezhongwang]

🧵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.

[Irene Wang, PhD, FAES @irenezhongwang]

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: https://t.co/9SeHJNf587

[Dan Ma @MRI_Dan]

@irenezhongwang Absolutely ! Many more collaborations, brainstormings, and fun, now and in the future ~

[Dan Ma @MRI_Dan]

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 https://t.co/WoCUMH60w2 Let's connect ! @Dukeneurosurg @DukeUBME @DukeUNCBIAC

[Dan Ma @MRI_Dan]

Wonderful team and opportunity!!

[Pew-Thian Yap @pt_yap]

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.

https://t.co/T0y4Ke808F

[Dan Ma @MRI_Dan]

@portokalh Thank you !

[Dan Ma @MRI_Dan]

@MRI_CPrieto Thanks Claudia :-)

[Dan Ma @MRI_Dan]

@MRIKatie Thanks Katie ! 😁

[Dan Ma @MRI_Dan]

@satishev Thanks Satish ! :-)

[Dan Ma @MRI_Dan]

@DrFangLiu Thanks Fang!