Daniel Haehn

According to our database1, Daniel Haehn authored at least 19 papers between 2013 and 2021.

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Bibliography

2021
CellProfiler Analyst Web (CPAW) - Exploration, analysis, and classification of biological images on the web.
Proceedings of the 2021 IEEE Visualization Conference, IEEE VIS 2021, 2021

FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects.
Proceedings of the 14th IEEE Pacific Visualization Symposium, 2021

2020
Modern Scientific Visualizations on the Web.
Informatics, 2020

Peax : Interactive Visual Pattern Search in Sequential Data Using Unsupervised Deep Representation Learning.
Comput. Graph. Forum, 2020

Fast Mitochondria Detection for Connectomics.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

TRAKO: Efficient Transmission of Tractography Data for Visualization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Two Stream Active Query Suggestion for Active Learning in Connectomics.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Evaluating 'Graphical Perception' with CNNs.
IEEE Trans. Vis. Comput. Graph., 2019

Biologically-Constrained Graphs for Global Connectomics Reconstruction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Fast Mitochondria Segmentation for Connectomics.
CoRR, 2018

Guided Proofreading of Automatic Segmentations for Connectomics.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Scalable Interactive Visualization for Connectomics.
Informatics, 2017

CHIPS - A Service for Collecting, Organizing, Processing, and Sharing Medical Image Data in the Cloud.
Proceedings of the Data Management and Analytics for Medicine and Healthcare, 2017

Compresso: Efficient Compression of Segmentation Data for Connectomics.
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.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
NeuroBlocks - Visual Tracking of Segmentation and Proofreading for Large Connectomics Projects.
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.
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.
IEEE Trans. Vis. Comput. Graph., 2014

2013
Slice: drop: collaborative medical imaging in the browser.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2013


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