Daniel Haehn
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
9
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | PacificVis | Evaluating 'Graphical Perception' with Multimodal LLMs. | Rami Huu Nguyen, Kenichi Maeda, Mahsa Geshvadi, Daniel Haehn |
| 2024 | EMNLP | Adversarial Text Generation using Large Language Models for Dementia Detection. | Youxiang Zhu, Nana Lin, Kiran Balivada, Daniel Haehn, Xiaohui Liang |
| 2024 | MICCAI | SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment. | Loraine Franke, Jie Luo, Tae Young Park, Nam Wook Kim, Yogesh Rathi, Steven D. Pieper, Lipeng Ning, Daniel Haehn |
| 2023 | ICLR | Lesion Search with Self-supervised Learning. | Kristin Qi, Jiali Cheng, Daniel Haehn |
| 2023 | IUI | AutoDOViz: Human-Centered Automation for Decision Optimization. | 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 |
| 2020 | ECCV | Two Stream Active Query Suggestion for Active Learning in Connectomics. | Zudi Lin, Donglai Wei, Won-Dong Jang, Siyan Zhou, Xupeng Chen, Xueying Wang, Richard Schalek, Daniel R. Berger, Brian Matejek, Lee Kamentsky, Adi Suissa-Peleg, Daniel Haehn, Thouis R. Jones, Toufiq Parag, Jeff Lichtman, Hanspeter Pfister |
| 2020 | MICCAI | TRAKO: Efficient Transmission of Tractography Data for Visualization. | Daniel Haehn, Loraine Franke, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi |
| 2019 | CVPR | Biologically-Constrained Graphs for Global Connectomics Reconstruction. | Brian Matejek, Daniel Haehn, Haidong Zhu, Donglai Wei, Toufiq Parag, Hanspeter Pfister |
| 2018 | CVPR | Guided Proofreading of Automatic Segmentations for Connectomics. | Daniel Haehn, Verena Kaynig, James Tompkin, Jeff W. Lichtman, Hanspeter Pfister |
| 2017 | MICCAI | Compresso: Efficient Compression of Segmentation Data for Connectomics. | Brian Matejek, Daniel Haehn, Fritz Lekschas, Michael Mitzenmacher, Hanspeter Pfister |
| 2017 | VLDB | CHIPS - A Service for Collecting, Organizing, Processing, and Sharing Medical Image Data in the Cloud. | Rudolph Pienaar, Ata Turk, Jorge L. Bernal-Rusiel, Nicolas Rannou, Daniel Haehn, Patricia Ellen Grant, Orran Krieger |
| 2013 | SIGGRAPH | Slice: drop: collaborative medical imaging in the browser. | Daniel Haehn |