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

1 code implementation • 10 May 2023 • Loraine Franke, Tae Young Park, Jie Luo, Yogesh Rathi, Steve Pieper, Lipeng Ning, Daniel Haehn

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

Computational Efficiency

AutoDOViz: Human-Centered Automation for Decision Optimization

no code implementations • 19 Feb 2023 • Daniel Karl I. Weidele, Shazia Afzal, Abel N. Valente, Cole Makuch, Owen Cornec, Long Vu, Dharmashankar Subramanian, Werner Geyer, Rahul Nair, Inge Vejsbjerg, Radu Marinescu, Paulito Palmes, Elizabeth M. Daly, Loraine Franke, Daniel Haehn

AutoDOViz seeks to lower the barrier of entry for data scientists in problem specification for reinforcement learning problems, leverage the benefits of AutoDO algorithms for RL pipeline search and finally, create visualizations and policy insights in order to facilitate the typical interactive nature when communicating problem formulation and solution proposals between DO experts and domain experts.

AutoML reinforcement-learning +1

FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects

1 code implementation • 16 May 2020 • Loraine Franke, Daniel Karl I. Weidele, Fan Zhang, Suheyla Cetin-Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi, Daniel Haehn

Tractography from high-dimensional diffusion magnetic resonance imaging (dMRI) data allows brain's structural connectivity analysis.

Anatomy Navigate

TRAKO: Efficient Transmission of Tractography Data for Visualization

1 code implementation • 26 Apr 2020 • Daniel Haehn, Loraine Franke, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren O'Donnell, Yogesh Rathi

Fiber tracking produces large tractography datasets that are tens of gigabytes in size consisting of millions of streamlines.