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Journal Articles
- 2022
[j3]Jay Burkhardt, Aaryaman Sharma, Jack Tan, Loraine Franke, Jahnavi Leburu, Jay Jeschke, Sasha Devore, Daniel Friedman, Jingyun Chen, Daniel Haehn:
N-Tools-Browser: Web-Based Visualization of Electrocorticography Data for Epilepsy Surgery. Frontiers Bioinform. 2 (2022)- [j2]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:
How Machine Learning is Powering Neuroimaging to Improve Brain Health. Neuroinformatics 20(4): 943-964 (2022) - 2020
- [j1]Loraine Franke, Daniel Haehn:
Modern Scientific Visualizations on the Web. Informatics 7(4): 37 (2020)
Conference and Workshop Papers
- 2024
- [c6]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:
Empirical Evidence on Conversational Control of GUI in Semantic Automation. IUI 2024: 869-885 - [c5]Loraine Franke, Jie Luo, Tae Young Park, Nam Wook Kim, Yogesh Rathi, Steven D. Pieper, Lipeng Ning, Daniel Haehn:
SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment. MICCAI (6) 2024: 575-585 - 2023
- [c4]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:
AutoDOViz: Human-Centered Automation for Decision Optimization. IUI 2023: 664-680 - 2021
- [c3]Loraine Franke, Daniel Karl I. Weidele, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi, Daniel Haehn:
FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects. PacificVis 2021: 116-125 - [c2]Bella Baidak, Yahiya Hussain, Emma Kelminson, Thouis R. Jones, Loraine Franke, Daniel Haehn:
CellProfiler Analyst Web (CPAW) - Exploration, analysis, and classification of biological images on the web. IEEE VIS (Short Papers) 2021: 131-135 - 2020
- [c1]Daniel Haehn, Loraine Franke, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi:
TRAKO: Efficient Transmission of Tractography Data for Visualization. MICCAI (7) 2020: 322-332
Informal and Other Publications
- 2023
- [i4]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:
AutoDOViz: Human-Centered Automation for Decision Optimization. CoRR abs/2302.09688 (2023) - [i3]Loraine Franke, Tae Young Park, Jie Luo, Yogesh Rathi, Steve Pieper, Lipeng Ning, Daniel Haehn:
SlicerTMS: Interactive Real-time Visualization of Transcranial Magnetic Stimulation using Augmented Reality and Deep Learning. CoRR abs/2305.06459 (2023) - 2020
- [i2]Daniel Haehn, Loraine Franke, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren O'Donnell, Yogesh Rathi:
TRAKO: Efficient Transmission of Tractography Data for Visualization. CoRR abs/2004.13630 (2020) - [i1]Loraine Franke, Daniel Karl I. Weidele, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi, Daniel Haehn:
FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects. CoRR abs/2005.08090 (2020)
Coauthor Index
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