AutoDOViz: Human-Centered Automation for Decision Optimization

Autor: Weidele, Daniel Karl I., Afzal, Shazia, Valente, Abel N., Makuch, Cole, Cornec, Owen, Vu, Long, Subramanian, Dharmashankar, Geyer, Werner, Nair, Rahul, Vejsbjerg, Inge, Marinescu, Radu, Palmes, Paulito, Daly, Elizabeth M., Franke, Loraine, Haehn, Daniel

We present AutoDOViz, an interactive user interface for automated decision optimization (AutoDO) using reinforcement learning (RL). Decision optimization (DO) has classically being practiced by dedicated DO researchers where experts need to spend lon

Externí odkaz: http://arxiv.org/abs/2302.09688

TRAKO: Efficient Transmission of Tractography Data for Visualization

Autor: Haehn, Daniel, Franke, Loraine, Zhang, Fan, Karayumak, Suheyla Cetin, Pieper, Steve, O'Donnell, Lauren, Rathi, Yogesh

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 for efficient storage, transfer, and visualization. We present TRAKO, a

Externí odkaz: http://arxiv.org/abs/2004.13630

SlicerTMS: Interactive Real-time Visualization of Transcranial Magnetic Stimulation using Augmented Reality and Deep Learning

Autor: Franke, Loraine, Park, Tae Young, Luo, Jie, Rathi, Yogesh, Pieper, Steve, Ning, Lipeng, Haehn, Daniel

Transcranial magnetic stimulation (TMS) is a non-invasive neuromodulation approach that effectively treats various brain disorders. One of the critical factors in the success of TMS treatment is accurate coil placement, which can be challenging, espe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d211b1c01bca48ef88737426233da966
http://arxiv.org/abs/2305.06459

Modern Scientific Visualizations on the Web.

Autor: Franke, Loraine, Haehn, Daniel

Publikováno v: Informatics; Dec2020, Vol. 7 Issue 4, p37, 1p

N-Tools-Browser: Web-Based Visualization of Electrocorticography Data for Epilepsy Surgery.

Autor: Burkhardt J; Machine Psychology Lab, Department of Computer Science, University of Massachusetts Boston, Boston, MA, United States., Sharma A; Machine Psychology Lab, Department of Computer Science, University of Massachusetts Boston, Boston, MA, United States., Tan J; Machine Psychology Lab, Department of Computer Science, University of Massachusetts Boston, Boston, MA, United States., Franke L; Machine Psychology Lab, Department of Computer Science, University of Massachusetts Boston, Boston, MA, United States., Leburu J; Machine Psychology Lab, Department of Computer Science, University of Massachusetts Boston, Boston, MA, United States., Jeschke J; Department of Neurology, New York University, Grossman School of Medicine, New York, NY, United States., Devore S; Department of Neurology, New York University, Grossman School of Medicine, New York, NY, United States., Friedman D; Department of Neurology, New York University, Grossman School of Medicine, New York, NY, United States., Chen J; Department of Neurology, New York University, Grossman School of Medicine, New York, NY, United States., Haehn D; Machine Psychology Lab, Department of Computer Science, University of Massachusetts Boston, Boston, MA, United States.

Publikováno v: Frontiers in bioinformatics [Front Bioinform] 2022 Apr 21; Vol. 2, pp. 857577. Date of Electronic Publication: 2022 Apr 21 (Print Publication: 2022).