Daniel Haehn

56 papers A* 3A 1B 2Journal 33Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Rigorous Behavior Assessment of CNNs Using a Data-Domain Sampling Regime.
IEEE Trans. Vis. Comput. Graph.
Shuning Jiang, Wei-Lun Chao, Daniel Haehn, Hanspeter Pfister, Jian Chen
2026 J jnl
Machine learning for N-dimensional spatial reasoning tasks on the web.
Frontiers Bioinform.
Blake Moody, Jiehyun Kim, Sanghyuk Kim, Daniel Haehn
2026 J jnl
Meta-D: Metadata-Aware Architectures for Brain Tumor Analysis and Missing-Modality Segmentation.
CoRR
Sanghyuk Kim, Daniel Haehn, Sumientra Rampersad
2025 J jnl
A Rigorous Behavior Assessment of CNNs Using a Data-Domain Sampling Regime.
CoRR
Shuning Jiang, Wei-Lun Chao, Daniel Haehn, Hanspeter Pfister, Jian Chen
2025 — conf
Automatic Segmentation of Calcified Plaque in Carotid Arteries.
ISBI
Jiehyun Kim, Kevin Wang, Yu Sakai, Youxiang Zhu, Andrew C. Hu, Huy Q. Phi, Nathan Arnett, Grace J. Wang, Brett L. Cucchiara, Jae W. Song, Daniel Haehn
2025 — conf
Boostlet.Js: Medical Image Processing Plugins for the Web via Javascript Injection.
ISBI
Edward Gaibor, Shruti Varade, Rohini Deshmukh, Tim Meyer, Mahsa Geshvadi, Sanghyuk Kim, Vidhya Sree Narayanappa, Daniel Haehn
2025 J jnl
Designing a Convolutional Neural Network for High-Accuracy Oral Cavity Squamous Cell Carcinoma (OCSCC) Detection.
CoRR
Vishal Manikanden, Aniketh Bandlamudi, Daniel Haehn
2025 B conf
Evaluating 'Graphical Perception' with Multimodal LLMs.
PacificVis
Rami Huu Nguyen, Kenichi Maeda, Mahsa Geshvadi, Daniel Haehn
2025 J jnl
Evaluating Graphical Perception with Multimodal LLMs.
CoRR
Rami Huu Nguyen, Kenichi Maeda, Mahsa Geshvadi, Daniel Haehn
2025 J jnl
Focus Directions Make Your Language Models Pay More Attention to Relevant Contexts.
CoRR
Youxiang Zhu, Ruochen Li, Danqing Wang, Daniel Haehn, Xiaohui Liang
2025 J jnl
Generalization of CNNs on Relational Reasoning With Bar Charts.
IEEE Trans. Vis. Comput. Graph.
Zhenxing Cui, Lu Chen, Yunhai Wang, Daniel Haehn, Yong Wang, Hanspeter Pfister
2025 J jnl
Generalization of CNNs on Relational Reasoning with Bar Charts.
CoRR
Zhenxing Cui, Lu Chen, Yunhai Wang, Daniel Haehn, Yong Wang, Hanspeter Pfister
2025 J jnl
MRI Plane Orientation Detection using a Context-Aware 2.5D Model.
CoRR
Sanghyuk Kim, Daniel Haehn, Sumientra Rampersad
2025 — conf
Melanoma Detection with Uncertainty Quantification.
ISBI
Sanghyuk Kim, Edward Gaibor, Brian Matejek, Daniel Haehn
2025 J jnl
Optimizing registration uncertainty visualization to support intraoperative decision-making during brain tumor resection.
Int. J. Comput. Assist. Radiol. Surg.
Mahsa Geshvadi, Reuben Dorent, Colin Galvin, Laura Rigolo, Nazim Haouchine, Tina Kapur, Steven D. Pieper, Mark G. Vangel, William M. Wells III, Alexandra J. Golby, Daniel Haehn, Sarah F. Frisken
2024 A* conf
Adversarial Text Generation using Large Language Models for Dementia Detection.
EMNLP
Youxiang Zhu, Nana Lin, Kiran Balivada, Daniel Haehn, Xiaohui Liang
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 J jnl
Boostlet.js: Image processing plugins for the web via JavaScript injection.
CoRR
Edward Gaibor, Shruti Varade, Rohini Deshmukh, Tim Meyer, Mahsa Geshvadi, Sanghyuk Kim, Vidhya Sree Narayanappa, Daniel Haehn
2024 J jnl
Melanoma Detection with Uncertainty Quantification.
CoRR
Sanghyuk Kim, Edward Gaibor, Brian Matejek, Daniel Haehn
2024 — conf
Non-Invasive Stress Monitoring From Video.
ISBI
Akshata Tiwari, Brian Matejek, Daniel Haehn
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
2024 J jnl
Web-based Melanoma Detection.
CoRR
Sanghyuk Kim, Edward Gaibor, Daniel Haehn
2024 — conf
WebGL-based Image Processing through JavaScript Injection.
Web3D
Tim Meyer, Gabi Dreo Rodosek, 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
Deep Learning-Based Visual Complexity Analysis of Electroencephalography Time-Frequency Images: Can It Localize the Epileptogenic Zone in the Brain?
Algorithms
Navaneethakrishna Makaram, Sarvagya Gupta, Matthew Pesce, Jeffrey Bolton, Scellig S. Stone, Daniel Haehn, Marc Pomplun, Christos L. Papadelis, Phillip L. Pearl, Alexander Rotenberg, Patricia Ellen Grant, Eleonora Tamilia
2023 — conf
Lesion Search with Self-supervised Learning.
Tiny Papers @ ICLR
Kristin Qi, Jiali Cheng, Daniel Haehn
2023 J jnl
Lesion Search with Self-supervised Learning.
CoRR
Kristin Qi, Jiali Cheng, 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
2022 — conf
Real-Time Alignment for Connectomics.
WBIR
Neha Goyal, Yahiya Hussain, Gianna G. Yang, 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 — conf
Fast Mitochondria Detection for Connectomics.
MIDL
Vincent Casser, Kai Kang, Hanspeter Pfister, 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 J jnl
Peax : Interactive Visual Pattern Search in Sequential Data Using Unsupervised Deep Representation Learning.
Comput. Graph. Forum
Fritz Lekschas, Brant Peterson, Daniel Haehn, Eric Ma, Nils Gehlenborg, Hanspeter Pfister
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
2020 — conf
Two Stream Active Query Suggestion for Active Learning in Connectomics.
ECCV (18)
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
2019 A* conf
Biologically-Constrained Graphs for Global Connectomics Reconstruction.
CVPR
Brian Matejek, Daniel Haehn, Haidong Zhu, Donglai Wei, Toufiq Parag, Hanspeter Pfister
2019 J jnl
Evaluating 'Graphical Perception' with CNNs.
IEEE Trans. Vis. Comput. Graph.
Daniel Haehn, James Tompkin, Hanspeter Pfister
2018 J jnl
Fast Mitochondria Segmentation for Connectomics.
CoRR
Vincent Casser, Kai Kang, Hanspeter Pfister, Daniel Haehn
2018 A* conf
Guided Proofreading of Automatic Segmentations for Connectomics.
CVPR
Daniel Haehn, Verena Kaynig, James Tompkin, Jeff W. Lichtman, Hanspeter Pfister
2017 — conf
CHIPS - A Service for Collecting, Organizing, Processing, and Sharing Medical Image Data in the Cloud.
DMAH@VLDB
Rudolph Pienaar, Ata Turk, Jorge L. Bernal-Rusiel, Nicolas Rannou, Daniel Haehn, Patricia Ellen Grant, Orran Krieger
2017 J jnl
CHIPS: A Service for Collecting, Organizing, Processing, and Sharing Medical Image Data in the Cloud.
CoRR
Rudolph Pienaar, Ata Turk, Jorge L. Bernal-Rusiel, Nicolas Rannou, Daniel Haehn, Patricia Ellen Grant, Orran Krieger
2017 — conf
Compresso: Efficient Compression of Segmentation Data for Connectomics.
MICCAI (1)
Brian Matejek, Daniel Haehn, Fritz Lekschas, Michael Mitzenmacher, Hanspeter Pfister
2017 J jnl
Guided Proofreading of Automatic Segmentations for Connectomics.
CoRR
Daniel Haehn, Verena Kaynig, James Tompkin, Jeff W. Lichtman, Hanspeter Pfister
2017 — conf
ICON: An interactive approach to train deep neural networks for segmentation of neuronal structures.
ISBI
Felix Gonda, Verena Kaynig, Thouis R. Jones, Daniel Haehn, Jeff W. Lichtman, Toufiq Parag, Hanspeter Pfister
2017 J jnl
Scalable Interactive Visualization for Connectomics.
Informatics
Daniel Haehn, John Hoffer, Brian Matejek, Adi Suissa-Peleg, Ali K. Al-Awami, Lee Kamentsky, Felix Gonda, Eagon Meng, William Zhang, Richard Schalek, Alyssa Wilson, Toufiq Parag, Johanna Beyer, Verena Kaynig, Thouis R. Jones, James Tompkin, Markus Hadwiger, Jeff W. Lichtman, Hanspeter Pfister
2016 J jnl
Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures.
CoRR
Felix Gonda, Verena Kaynig, Thouis Ray Jones, Daniel Haehn, Jeff Lichtman, Toufiq Parag, Hanspeter Pfister
2016 J jnl
NeuroBlocks - Visual Tracking of Segmentation and Proofreading for Large Connectomics Projects.
IEEE Trans. Vis. Comput. Graph.
Ali K. Al-Awami, Johanna Beyer, Daniel Haehn, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister, Markus Hadwiger
2015 — conf
ChRIS- A web-based neuroimaging and informatics system for collecting, organizing, processing, visualizing and sharing of medical data.
EMBC
Rudolph Pienaar, Nicolas Rannou, Jorge Bernal, Daniel Haehn, Patricia Ellen Grant
2014 J jnl
Design and Evaluation of Interactive Proofreading Tools for Connectomics.
IEEE Trans. Vis. Comput. Graph.
Daniel Haehn, Seymour Knowles-Barley, Mike Roberts, Johanna Beyer, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister
2013 — conf
Slice: drop: collaborative medical imaging in the browser.
SIGGRAPH Computer Animation Festival
Daniel Haehn