Follow
Daniel Haehn
Daniel Haehn
Verified email at cs.umb.edu - Homepage
Title
Cited by
Cited by
Year
Regional infant brain development: an MRI-based morphometric analysis in 3 to 13 month olds
M Choe, S Ortiz-Mantilla, N Makris, M Gregas, J Bacic, D Haehn, ...
Cerebral Cortex 23 (9), 2100-2117, 2013
882013
Nipype
KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, MP Notter, ...
Software, 2018
602018
Design and evaluation of interactive proofreading tools for connectomics
D Haehn, S Knowles-Barley, M Roberts, J Beyer, N Kasthuri, JW Lichtman, ...
IEEE transactions on visualization and computer graphics 20 (12), 2466-2475, 2014
542014
Neuroimaging in the Browser using the X Toolkit
D Haehn, N Rannou, B Ahtam, E Grant, R Pienaar
Frontiers in Neuroinformatics, 2012
542012
Evaluating ‘graphical perception’with CNNs
D Haehn, J Tompkin, H Pfister
IEEE transactions on visualization and computer graphics 25 (1), 641-650, 2018
372018
Altered structural brain networks in tuberous sclerosis complex
K Im, B Ahtam, D Haehn, JM Peters, SK Warfield, M Sahin, P Ellen Grant
Cerebral cortex 26 (5), 2046-2058, 2016
352016
Neuroblocks–visual tracking of segmentation and proofreading for large connectomics projects
AK Ai-Awami, J Beyer, D Haehn, N Kasthuri, JW Lichtman, H Pfister, ...
IEEE transactions on visualization and computer graphics 22 (1), 738-746, 2015
352015
Fast mitochondria detection for connectomics
V Casser, K Kang, H Pfister, D Haehn
Medical Imaging with Deep Learning, 111-120, 2020
30*2020
Scalable interactive visualization for connectomics
D Haehn, J Hoffer, B Matejek, A Suissa-Peleg, AK Al-Awami, L Kamentsky, ...
Informatics 4 (3), 29, 2017
272017
Guided Proofreading of Automatic Segmentations for Connectomics
D Haehn, V Kaynig, J Tompkin, JW Lichtman, H Pfister
IEEE Computer Vision and Pattern Recognition (CVPR), 2017
262017
Imaging a 1 mm 3 volume of rat cortex using a MultiBeam SEM
R Schalek, D Lee, N Kasthuri, A Peleg, T Jones, V Kaynig, D Haehn, ...
Microscopy and Microanalysis 22 (S3), 582-583, 2016
182016
Slice: drop: collaborative medical imaging in the browser
D Haehn
ACM SIGGRAPH 2013 computer animation festival, 1-1, 2013
182013
Peax: Interactive Visual Pattern Search in Sequential Data Using Unsupervised Deep Representation Learning
F Lekschas, B Peterson, D Haehn, E Ma, N Gehlenborg, H Pfister
Computer Graphics Forum 39 (3), 167-179, 2020
162020
ChRIS-A web-based neuroimaging and informatics system for collecting, organizing, processing, visualizing and sharing of medical data
R Pienaar, N Rannou, J Bernal, D Hähn, PE Grant
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
162015
Automatic neural reconstruction from petavoxel of electron microscopy data
A Suissa-Peleg, D Haehn, S Knowles-Barley, V Kaynig, TR Jones, ...
Microscopy and Microanalysis 22 (S3), 536-537, 2016
152016
Biologically-constrained graphs for global connectomics reconstruction
B Matejek, D Haehn, H Zhu, D Wei, T Parag, H Pfister
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
142019
Compresso: Efficient compression of segmentation data for connectomics
B Matejek, D Haehn, F Lekschas, M Mitzenmacher, H Pfister
International Conference on Medical Image Computing and Computer-Assisted …, 2017
122017
Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.13. 1. Zenodo
KJ Gorgolewski, O Esteban, DG Ellis, MP Notter, E Ziegler, H Johnson, ...
92017
ChRIS: real-time web-based MRI data collection, analysis, and sharing
R Pienaar, N Rannou, D Haehn, PE Grant
F1000Research 5, 2014
92014
Icon: An interactive approach to train deep neural networks for segmentation of neuronal structures
F Gonda, V Kaynig, TR Jones, D Haehn, JW Lichtman, T Parag, H Pfister
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
82017
The system can't perform the operation now. Try again later.
Articles 1–20