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
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 https://t.co/gZFpSDyZJT
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.
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
🧵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.
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
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
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