| 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 | 74 | 2013 |
| Neuroimaging in the Browser using the X Toolkit D Haehn, N Rannou, B Ahtam, E Grant, R Pienaar Frontiers in Neuroinformatics, 2012 | 49 | 2012 |
| 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 | 46 | 2014 |
| 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 | 26 | 2015 |
| 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 | 24 | 2016 |
| Evaluating ‘graphical perception’with CNNs D Haehn, J Tompkin, H Pfister IEEE transactions on visualization and computer graphics 25 (1), 641-650, 2018 | 21 | 2018 |
| Scalable interactive visualization for connectomics D Haehn, J Hoffer, B Matejek, A Suissa-Peleg, AK Al-Awami, L Kamentsky, ... Informatics 4 (3), 29, 2017 | 16 | 2017 |
| Slice: drop: collaborative medical imaging in the browser D Haehn ACM SIGGRAPH 2013 computer animation festival, 1-1, 2013 | 16 | 2013 |
| 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 | 14 | 2017 |
| 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 | 14 | 2016 |
| 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 | 14 | 2016 |
| 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 | 12 | 2015 |
| Fast Mitochondria Detection for Connectomics V Casser, K Kang, H Pfister, D Haehn Medical Imaging with Deep Learning, 111-120, 2020 | 10* | 2020 |
| 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 | 8 | 2017 |
| 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 | 6 | 2017 |
| Medical imaging in the browser with the A* medical imaging (AMI) toolkit N Rannou, JL Bernal-Rusiel, D Haehn, PE Grant, R Pienaar 34th Annual Scientific Meeting European Society for Magnetic Resonance in …, 2017 | 5 | 2017 |
| ChRIS: real-time web-based MRI data collection, analysis, and sharing R Pienaar, N Rannou, D Haehn, PE Grant F1000Research 5, 2014 | 5 | 2014 |
| 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 | 4 | 2019 |
| CHIPS–A Service for Collecting, Organizing, Processing, and Sharing Medical Image Data in the Cloud R Pienaar, A Turk, J Bernal-Rusiel, N Rannou, D Haehn, PE Grant, ... VLDB Workshop on Data Management and Analytics for Medicine and Healthcare …, 2017 | 4 | 2017 |
| Slice: drop D Hähn, N Rannou, PE Grant, R Pienaar F1000Research 3, 2012 | 4 | 2012 |
Hanspeter PfisterAn Wang Professor of Computer Science, Harvard UniversityVerified email at seas.harvard.edu
