Loraine Franke

14 papers A 2B 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
AutoRL X: Automated Reinforcement Learning on the Web.
ACM Trans. Interact. Intell. Syst.
Loraine Franke, Daniel Karl I. Weidele, Nima Dehmamy, Lipeng Ning, Daniel Haehn
2024 A conf
Empirical Evidence on Conversational Control of GUI in Semantic Automation.
IUI
Daniel Karl I. Weidele, Mauro Martino, Abel N. Valente, Gaetano Rossiello, Hendrik Strobelt, Loraine Franke, Kathryn Alvero, Shayenna Misko, Robin Auer, Sugato Bagchi, Nandana Mihindukulasooriya, Md. Faisal Mahbub Chowdhury, Gregory Bramble, Horst Samulowitz, Alfio Gliozzo, Lisa Amini
2024 — conf
SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment.
MICCAI (6)
Loraine Franke, Jie Luo, Tae Young Park, Nam Wook Kim, Yogesh Rathi, Steven D. Pieper, Lipeng Ning, Daniel Haehn
2023 A conf
AutoDOViz: Human-Centered Automation for Decision Optimization.
IUI
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 P. Palmes, Elizabeth M. Daly, Loraine Franke, Daniel Haehn
2023 J jnl
AutoDOViz: Human-Centered Automation for Decision Optimization.
CoRR
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 P. Palmes, Elizabeth M. Daly, Loraine Franke, Daniel Haehn
2023 J jnl
SlicerTMS: Interactive Real-time Visualization of Transcranial Magnetic Stimulation using Augmented Reality and Deep Learning.
CoRR
Loraine Franke, Tae Young Park, Jie Luo, Yogesh Rathi, Steve Pieper, Lipeng Ning, Daniel Haehn
2022 J jnl
How Machine Learning is Powering Neuroimaging to Improve Brain Health.
Neuroinformatics
Nalini M. Singh, Jordan B. Harrod, Sandya Subramanian, Mitchell B. Robinson, Ken Chang, Suheyla Cetin Karayumak, Adrian Vasile Dalca, Simon B. Eickhoff, Michael Fox, Loraine Franke, Polina Golland, Daniel Haehn, Juan Eugenio Iglesias, Lauren J. O'Donnell, Yangming Ou, Yogesh Rathi, Shan H. Siddiqi, Haoqi Sun, M. Brandon Westover, Susan L. Whitfield-Gabrieli, Randy L. Gollub
2022 J jnl
N-Tools-Browser: Web-Based Visualization of Electrocorticography Data for Epilepsy Surgery.
Frontiers Bioinform.
Jay Burkhardt, Aaryaman Sharma, Jack Tan, Loraine Franke, Jahnavi Leburu, Jay Jeschke, Sasha Devore, Daniel Friedman, Jingyun Chen, Daniel Haehn
2021 — conf
CellProfiler Analyst Web (CPAW) - Exploration, analysis, and classification of biological images on the web.
IEEE VIS (Short Papers)
Bella Baidak, Yahiya Hussain, Emma Kelminson, Thouis R. Jones, Loraine Franke, Daniel Haehn
2021 B conf
FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects.
PacificVis
Loraine Franke, Daniel Karl I. Weidele, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi, Daniel Haehn
2020 J jnl
FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects.
CoRR
Loraine Franke, Daniel Karl I. Weidele, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi, Daniel Haehn
2020 J jnl
Modern Scientific Visualizations on the Web.
Informatics
Loraine Franke, Daniel Haehn
2020 — conf
TRAKO: Efficient Transmission of Tractography Data for Visualization.
MICCAI (7)
Daniel Haehn, Loraine Franke, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi
2020 J jnl
TRAKO: Efficient Transmission of Tractography Data for Visualization.
CoRR
Daniel Haehn, Loraine Franke, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren O'Donnell, Yogesh Rathi