activity
20202023
most citedFiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects

7 citations · 8 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SP2023★ 1 cited

SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

Loraine Franke, Tae Young Park, Jie Luo +4

We present a real-time visualization system for Transcranial Magnetic Stimulation (TMS), a non-invasive neuromodulation technique for treating various brain disorders and mental he…

cs.CV2022

TractoSCR: A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography

Tengfei Xue, Fan Zhang, Leo R. Zekelman +9

Neuroimaging-based prediction of neurocognitive measures is valuable for studying how the brain's structure relates to cognitive function. However, the accuracy of prediction using…

eess.IV2022

Model and predict age and sex in healthy subjects using brain white matter features: A deep learning approach

Hao He, Fan Zhang, Steve Pieper +4

The human brain's white matter (WM) structure is of immense interest to the scientific community. Diffusion MRI gives a powerful tool to describe the brain WM structure noninvasive…

cs.HC2020★ 7 cited

FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects

Loraine Franke, Daniel Karl I. Weidele, Fan Zhang +5

Tractography from high-dimensional diffusion magnetic resonance imaging (dMRI) data allows brain's structural connectivity analysis. Recent dMRI studies aim to compare connectivity…

eess.IV2020

TRAKO: Efficient Transmission of Tractography Data for Visualization

Daniel Haehn, Loraine Franke, Fan Zhang +4

Fiber tracking produces large tractography datasets that are tens of gigabytes in size consisting of millions of streamlines. Such vast amounts of data require formats that allow f…