Daniel Haehn

According to our database, Daniel Haehn authored at least 27 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Web-based Melanoma Detection.

Sanghyuk Kim, Edward Gaibor, Daniel Haehn

CoRR, 2024

2023

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

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

CoRR, 2023

Deep Learning-Based Visual Complexity Analysis of Electroencephalography Time-Frequency Images: Can It Localize the Epileptogenic Zone in the Brain?

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

Algorithms, 2023

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

Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Lesion Search with Self-supervised Learning.

Kristin Qi, Jiali Cheng, Daniel Haehn

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

How Machine Learning is Powering Neuroimaging to Improve Brain Health.

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

Neuroinformatics, 2022

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

Jay Burkhardt, Aaryaman Sharma, Jack Tan, Loraine Franke, Jahnavi Leburu, Jay Jeschke, Sasha Devore, Daniel Friedman, Jingyun Chen, Daniel Haehn

Frontiers Bioinform., 2022

Real-Time Alignment for Connectomics.

Neha Goyal, Yahiya Hussain, Gianna G. Yang, Daniel Haehn

Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

2021

CellProfiler Analyst Web (CPAW) - Exploration, analysis, and classification of biological images on the web.

Bella Baidak, Yahiya Hussain, Emma Kelminson, Thouis R. Jones, Loraine Franke, Daniel Haehn

Proceedings of the 2021 IEEE Visualization Conference, 2021

FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects.

Loraine Franke, Daniel Karl I. Weidele, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi, Daniel Haehn

Proceedings of the 14th IEEE Pacific Visualization Symposium, 2021

2020

Modern Scientific Visualizations on the Web.

Loraine Franke, Daniel Haehn

Informatics, 2020

Peax : Interactive Visual Pattern Search in Sequential Data Using Unsupervised Deep Representation Learning.

Fritz Lekschas, Brant Peterson, Daniel Haehn, Eric Ma, Nils Gehlenborg, Hanspeter Pfister

Comput. Graph. Forum, 2020

Fast Mitochondria Detection for Connectomics.

Vincent Casser, Kai Kang, Hanspeter Pfister, Daniel Haehn

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

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

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Evaluating 'Graphical Perception' with CNNs.

Daniel Haehn, James Tompkin, Hanspeter Pfister

IEEE Trans. Vis. Comput. Graph., 2019

Biologically-Constrained Graphs for Global Connectomics Reconstruction.

Brian Matejek, Daniel Haehn, Haidong Zhu, Donglai Wei, Toufiq Parag, Hanspeter Pfister

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Fast Mitochondria Segmentation for Connectomics.

Vincent Casser, Kai Kang, Hanspeter Pfister, Daniel Haehn

CoRR, 2018

Guided Proofreading of Automatic Segmentations for Connectomics.

Daniel Haehn, Verena Kaynig, James Tompkin, Jeff W. Lichtman, Hanspeter Pfister

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Scalable Interactive Visualization for Connectomics.

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

Informatics, 2017

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

Proceedings of the Data Management and Analytics for Medicine and Healthcare, 2017

Compresso: Efficient Compression of Segmentation Data for Connectomics.

Brian Matejek, Daniel Haehn, Fritz Lekschas, Michael Mitzenmacher, Hanspeter Pfister

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

ICON: An interactive approach to train deep neural networks for segmentation of neuronal structures.

Felix Gonda, Verena Kaynig, Thouis R. Jones, Daniel Haehn, Jeff W. Lichtman, Toufiq Parag, Hanspeter Pfister

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

NeuroBlocks - Visual Tracking of Segmentation and Proofreading for Large Connectomics Projects.

Ali K. Al-Awami, Johanna Beyer, Daniel Haehn, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister, Markus Hadwiger

IEEE Trans. Vis. Comput. Graph., 2016

2015

ChRIS- A web-based neuroimaging and informatics system for collecting, organizing, processing, visualizing and sharing of medical data.

Rudolph Pienaar, Nicolas Rannou, Jorge Bernal, Daniel Haehn, Patricia Ellen Grant

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Design and Evaluation of Interactive Proofreading Tools for Connectomics.

Daniel Haehn, Seymour Knowles-Barley, Mike Roberts, Johanna Beyer, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister

IEEE Trans. Vis. Comput. Graph., 2014

2013

Slice: drop: collaborative medical imaging in the browser.

Daniel Haehn

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2013