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Jeff W. Lichtman – Jeff William Lichtman
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Journal Articles
- 2024
[j24]Jakob Troidl, Simon Warchol
, Jinhan Choi, Jordan Matelsky, Nagaraju Dhanyasi, Xueying Wang, Brock A. Wester, Donglai Wei, Jeff W. Lichtman, Hanspeter Pfister, Johanna Beyer:
- Visual Analysis of Neuronal Connectivity Motifs. IEEE Trans. Vis. Comput. Graph. 30(1): 748-758 (2024)- 2022
- [j23]Morgan Sanchez, Dymon Moore, Erik C. Johnson, Brock A. Wester, Jeff W. Lichtman, William R. Gray Roncal:
Connectomics Annotation Metadata Standardization for Increased Accessibility and Queryability. Frontiers Neuroinformatics 16: 828458 (2022) - [j22]Brian Matejek, Tim Franzmeyer, Donglai Wei, Xueying Wang, Jinglin Zhao, Kálmán Palágyi, Jeff W. Lichtman, Hanspeter Pfister:
Scalable Biologically-Aware Skeleton Generation for Connectomic Volumes. IEEE Trans. Medical Imaging 41(9): 2360-2370 (2022) - 2021
- [j21]Felix Gonda, Xueying Wang, Johanna Beyer, Markus Hadwiger, Jeff W. Lichtman, Hanspeter Pfister:
VICE: Visual Identification and Correction of Neural Circuit Errors. Comput. Graph. Forum 40(3): 447-458 (2021) - [j20]Susie Yi Huang, Thomas Witzel, Boris Keil, Alina Scholz, Mathias Davids, Peter Dietz, Elmar Rummert, Rebecca Ramb, John E. Kirsch, Anastasia Yendiki, Qiuyun Fan, Qiyuan Tian, Gabriel Ramos-Llordén, Hong-Hsi Lee, Aapo Nummenmaa, Berkin Bilgic, Kawin Setsompop, Fuyixue Wang, Alexandru Vlad Avram, Michal E. Komlosh, Dan Benjamini, Kulam Najmudeen Magdoom, Sudhir K. Pathak, Walter Schneider, Dmitry S. Novikov, Els Fieremans, Slimane Tounekti, Choukri Mekkaoui, Jean Augustinack, Daniel R. Berger, Alexander Shapson-Coe, Jeff Lichtman, Peter J. Basser, Lawrence L. Wald, Bruce R. Rosen:
Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome. NeuroImage 243: 118530 (2021) - 2019
- [j19]Douglas H. Roossien, Benjamin V. Sadis, Yan Yan, John M. Webb, Lia Y. Min, Aslan S. Dizaji, Luke J. Bogart, Cristina Mazuski, Robert S. Huth, Johanna S. Stecher, Sriakhila Akula, Fred Y. Shen, Ye Li, Tingxin Xiao, Madeleine Vandenbrink, Jeff W. Lichtman, Takao K. Hensch, Erik D. Herzog, Dawen Cai:
Multispectral tracing in densely labeled mouse brain with nTracer. Bioinform. 35(18): 3544-3546 (2019) - 2017
- [j18]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:
Scalable Interactive Visualization for Connectomics. Informatics 4(3): 29 (2017) - [j17]David Grant Colburn Hildebrand, Marcelo Cicconet, Russel Miguel Torres, Woohyuk Choi, Tran Minh Quan, Jungmin Moon, Arthur W. Wetzel, Andrew Scott Champion, Brett J. Graham, Owen Randlett, George S. Plummer, Ruben Portugues, Isaac Henry Bianco, Stephan Saalfeld, Alexander D. Baden, Kunal Lillaney, Randal C. Burns, Joshua T. Vogelstein, Alexander Schier, Wei-Chung Allen Lee, Won-Ki Jeong, Jeff William Lichtman, Florian Engert:
Whole-brain serial-section electron microscopy in larval zebrafish. Nat. 545(7654): 345-349 (2017) - 2016
- [j16]Ali K. Al-Awami, Johanna Beyer, Daniel Haehn, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister, Markus Hadwiger:
NeuroBlocks - Visual Tracking of Segmentation and Proofreading for Large Connectomics Projects. IEEE Trans. Vis. Comput. Graph. 22(1): 738-746 (2016) - 2015
- [j15]Verena Kaynig, Amelio Vázquez Reina, Seymour Knowles-Barley, Mike Roberts, Thouis R. Jones, Narayanan Kasthuri, Eric L. Miller, Jeff Lichtman, Hanspeter Pfister:
Large-scale automatic reconstruction of neuronal processes from electron microscopy images. Medical Image Anal. 22(1): 77-88 (2015) - 2014
- [j14]Ali K. Al-Awami, Johanna Beyer, Hendrik Strobelt, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister, Markus Hadwiger:
NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity. IEEE Trans. Vis. Comput. Graph. 20(12): 2369-2378 (2014) - [j13]Daniel Haehn, Seymour Knowles-Barley, Mike Roberts, Johanna Beyer, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister:
Design and Evaluation of Interactive Proofreading Tools for Connectomics. IEEE Trans. Vis. Comput. Graph. 20(12): 2466-2475 (2014) - 2013
- [j12]Johanna Beyer, Markus Hadwiger, Ali K. Al-Awami, Won-Ki Jeong, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister:
Exploring the Connectome: Petascale Volume Visualization of Microscopy Data Streams. IEEE Computer Graphics and Applications 33(4): 50-61 (2013) - [j11]Won-Ki Jeong, Jens Schneider, Axel Hansen, Manhee Lee, Stephen G. Turney, Beverly E. Faulkner-Jones, Jonathan L. Hecht, R. Najarian, Eric Yee, Jeff W. Lichtman, Hanspeter Pfister:
A Collaborative Digital Pathology System for Multi-Touch Mobile and Desktop Computing Platforms. Comput. Graph. Forum 32(6): 227-242 (2013) - [j10]Johanna Beyer, Ali K. Al-Awami, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister, Markus Hadwiger:
ConnectomeExplorer: Query-Guided Visual Analysis of Large Volumetric Neuroscience Data. IEEE Trans. Vis. Comput. Graph. 19(12): 2868-2877 (2013) - 2012
- [j9]Erhan Bas, Deniz Erdogmus, R. W. Draft, Jeff W. Lichtman:
Local tracing of curvilinear structures in volumetric color images: Application to the Brainbow analysis. J. Vis. Commun. Image Represent. 23(8): 1260-1271 (2012) - 2011
- [j8]Amelio Vázquez Reina, Won-Ki Jeong, Jeff Lichtman, Hanspeter Pfister:
The connectome project: discovering the wiring of the brain. XRDS 18(1): 8-13 (2011) - 2010
- [j7]Ranga Srinivasan, Qing Li, Xiaobo Zhou, Ju Lu, Jeff Lichtman, Stephen T. C. Wong:
Reconstruction of the neuromuscular junction connectome. Bioinform. 26(12): 64-70 (2010) - [j6]Won-Ki Jeong, Johanna Beyer, Markus Hadwiger, Rusty Blue, Charles Law, Amelio Vázquez Reina, R. Clay Reid, Jeff Lichtman, Hanspeter Pfister:
Ssecrett and NeuroTrace: Interactive Visualization and Analysis Tools for Large-Scale Neuroscience Data Sets. IEEE Computer Graphics and Applications 30(3): 58-70 (2010) - [j5]Won-Ki Jeong, Jens Schneider, Stephen G. Turney, Beverly E. Faulkner-Jones, Dominik Meyer, Rüdiger Westermann, R. Clay Reid, Jeff Lichtman, Hanspeter Pfister:
Interactive Histology of Large-Scale Biomedical Image Stacks. IEEE Trans. Vis. Comput. Graph. 16(6): 1386-1395 (2010) - 2009
- [j4]Ranga Srinivasan, Xiaobo Zhou, Eric L. Miller, Ju Lu, Jeff W. Lichtman, Stephen T. C. Wong:
Automated Axon Tracking of 3D Confocal Laser Scanning Microscopy Images Using Guided Probabilistic Region Merging. Neuroinformatics 7(1): 83 (2009) - 2008
- [j3]Hongmin Cai, Xiaoyin Xu, Ju Lu, Jeff Lichtman, S. P. Yung, Stephen T. C. Wong:
Using nonlinear diffusion and mean shift to detect and connect cross-sections of axons in 3D optical microscopy images. Medical Image Anal. 12(6): 666-675 (2008) - [j2]Yong Zhang, Xiaobo Zhou, Ju Lu, Jeff Lichtman, Donald A. Adjeroh, Stephen T. C. Wong:
3D Axon Structure Extraction and Analysis in Confocal Fluorescence Microscopy Images. Neural Comput. 20(8): 1899-1927 (2008) - 2006
- [j1]Hongmin Cai, Xiaoyin Xu, Ju Lu, Jeff W. Lichtman, S. P. Yung, Stephen T. C. Wong:
Repulsive force based snake model to segment and track neuronal axons in 3D microscopy image stacks. NeuroImage 32(4): 1608-1620 (2006)
Conference and Workshop Papers
- 2023
- [c20]Minghao Chen, Mukesh Bangalore Renuka, Lu Mi, Jeff Lichtman, Nir Shavit, Yaron Meirovitch:
Learning to Correct Sloppy Annotations in Electron Microscopy Volumes. CVPR Workshops 2023: 4273-4284 - [c19]Yulun Zhang, Donglai Wei, Richard Schalek, Yuelong Wu, Stephen G. Turney, Jeff Lichtman, Hanspeter Pfister, Yun Fu:
High-Throughput Microscopy Image Deblurring with Graph Reasoning Attention Network. ISBI 2023: 1-5 - 2021
- [c18]Zudi Lin, Donglai Wei, Mariela D. Petkova, Yuelong Wu, Zergham Ahmed, Krishna Swaroop K, Silin Zou, Nils Wendt, Jonathan Boulanger-Weill, Xueying Wang, Nagaraju Dhanyasi, Ignacio Arganda-Carreras, Florian Engert, Jeff Lichtman, Hanspeter Pfister:
NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale. MICCAI (1) 2021: 164-174 - [c17]Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas D. Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister:
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. MICCAI (1) 2021: 175-185 - 2020
- [c16]Abhimanyu Talwar, Zudi Lin, Donglai Wei, Yuesong Wu, Bowen Zheng, Jinglin Zhao, Won-Dong Jang, Xueying Wang, Jeff Lichtman, Hanspeter Pfister:
A Topological Nomenclature for 3D Shape Analysis in Connectomics. CVPR Workshops 2020: 4245-4253 - [c15]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:
Two Stream Active Query Suggestion for Active Learning in Connectomics. ECCV (18) 2020: 103-120 - [c14]Donglai Wei, Zudi Lin, Daniel Franco-Barranco, Nils Wendt, Xingyu Liu, Wenjie Yin, Xin Huang, Aarush Gupta, Won-Dong Jang, Xueying Wang, Ignacio Arganda-Carreras, Jeff W. Lichtman, Hanspeter Pfister:
MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images. MICCAI (5) 2020: 66-76 - [c13]Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit:
Learning Guided Electron Microscopy with Active Acquisition. MICCAI (5) 2020: 77-87 - 2018
- [c12]Daniel Haehn, Verena Kaynig, James Tompkin, Jeff W. Lichtman, Hanspeter Pfister:
Guided Proofreading of Automatic Segmentations for Connectomics. CVPR 2018: 9319-9328 - [c11]Toufiq Parag, Daniel R. Berger, Lee Kamentsky, Benedikt Staffler, Donglai Wei, Moritz Helmstaedter, Jeff W. Lichtman, Hanspeter Pfister:
Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets. ECCV Workshops (6) 2018: 354-364 - 2017
- [c10]Felix Gonda, Verena Kaynig, Thouis R. Jones, Daniel Haehn, Jeff W. Lichtman, Toufiq Parag, Hanspeter Pfister:
ICON: An interactive approach to train deep neural networks for segmentation of neuronal structures. ISBI 2017: 327-331 - 2016
- [c9]Arthur W. Wetzel, Jennifer Bakal, Markus Dittrich, David G. C. Hildebrand, Josh L. Morgan, Jeff W. Lichtman:
Registering large volume serial-section electron microscopy image sets for neural circuit reconstruction using FFT signal whitening. AIPR 2016: 1-10 - 2013
- [c8]Randal C. Burns, Kunal Lillaney, Daniel R. Berger, Logan Grosenick, Karl Deisseroth, R. Clay Reid, William R. Gray Roncal, Priya Manavalan, Davi Bock, Narayanan Kasthuri, Michael M. Kazhdan, Stephen J. Smith, Dean Kleissas, Eric A. Perlman, Kwanghun Chung, Nicholas C. Weiler, Jeff Lichtman, Alexander S. Szalay, Joshua T. Vogelstein, R. Jacob Vogelstein:
The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience. SSDBM 2013: 27:1-27:11 - 2011
- [c7]Amelio Vázquez Reina, Michael Gelbart, Daniel Huang, Jeff Lichtman, Eric L. Miller, Hanspeter Pfister:
Segmentation fusion for connectomics. ICCV 2011: 177-184 - [c6]Mike Roberts, Won-Ki Jeong, Amelio Vázquez Reina, Markus Unger, Horst Bischof, Jeff Lichtman, Hanspeter Pfister:
Neural Process Reconstruction from Sparse User Scribbles. MICCAI (1) 2011: 621-628 - [c5]Johanna Beyer, Markus Hadwiger, Won-Ki Jeong, Hanspeter Pfister, Jeff Lichtman:
Demand-driven volume rendering of terascale EM data. SIGGRAPH Talks 2011: 57 - 2010
- [c4]Viren Jain, Benjamin Bollmann, Mark Richardson, Daniel R. Berger, Moritz Helmstaedter, Kevin L. Briggman, Winfried Denk, Jared B. Bowden, John M. Mendenhall, Wickliffe C. Abraham, Kristen M. Harris, Narayanan Kasthuri, Ken J. Hayworth, Richard Schalek, Juan Carlos Tapia, Jeff W. Lichtman, H. Sebastian Seung:
Boundary Learning by Optimization with Topological Constraints. CVPR 2010: 2488-2495 - 2007
- [c3]Jun Wang, Xiaobo Zhou, Ju Lu, Jeff Lichtman, Shih-Fu Chang, Stephen T. C. Wong:
Dynamic Local Tracing for 3d Axon Curvilinear Structure Detection from Microscopic Image Stack. ISBI 2007: 81-84 - [c2]Ranga Srinivasan, Xiaobo Zhou, Eric L. Miller, Ju Lu, Jeff Lichtman, Stephen T. C. Wong:
3-D Centerline Extraction of Axons in Microscopic Stacks for the Study of Motor Neuron Behavior in Developing Muscles. ISBI 2007: 93-96 - 2006
- [c1]Hongmin Cai, Xiaoyin Xu, Ju Lu, Jeff Lichtman, S. P. Yung, Stephen T. C. Wong:
Shape-constrained repulsive snake method to segment and track neurons in 3D microscopy images. ISBI 2006: 538-541
Parts in Books or Collections
- 2009
- [p1]Jeff W. Lichtman, R. Clay Reid, Hanspeter Pfister, Michael F. Cohen:
Discovering the wiring diagram of the brain. The Fourth Paradigm 2009: 75-82
Informal and Other Publications
- 2024
- [i22]Jia Wan, Wanhua Li, Atmadeep Banerjee, Jason Ken Adhinarta, Evelina Sjostedt, Jingpeng Wu, Jeff Lichtman, Hanspeter Pfister, Donglai Wei:
TriSAM: Tri-Plane SAM for zero-shot cortical blood vessel segmentation in VEM images. CoRR abs/2401.13961 (2024) - 2021
- [i21]Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit:
Learning Guided Electron Microscopy with Active Acquisition. CoRR abs/2101.02746 (2021) - [i20]Felix Gonda, Xueying Wang, Johanna Beyer, Markus Hadwiger, Jeff W. Lichtman, Hanspeter Pfister:
VICE: Visual Identification and Correction of Neural Circuit Errors. CoRR abs/2105.06861 (2021) - [i19]Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas D. Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister:
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. CoRR abs/2107.05451 (2021) - [i18]Zudi Lin, Donglai Wei, Mariela D. Petkova, Yuelong Wu, Zergham Ahmed, Krishna Swaroop K, Silin Zou, Nils Wendt, Jonathan Boulanger-Weill, Xueying Wang, Nagaraju Dhanyasi, Ignacio Arganda-Carreras, Florian Engert, Jeff Lichtman, Hanspeter Pfister:
NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale. CoRR abs/2107.05840 (2021) - [i17]Zudi Lin, Donglai Wei, Jeff Lichtman, Hanspeter Pfister:
PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics. CoRR abs/2112.05754 (2021) - 2019
- [i16]Abhimanyu Talwar, Zudi Lin, Donglai Wei, Yuesong Wu, Bowen Zheng, Jinglin Zhao, Won-Dong Jang, Xueying Wang, Jeff W. Lichtman, Hanspeter Pfister:
A Topological Nomenclature for 3D Shape Analysis in Connectomics. CoRR abs/1909.12887 (2019) - 2018
- [i15]Toufiq Parag, Daniel R. Berger, Lee Kamentsky, Benedikt Staffler, Donglai Wei, Moritz Helmstaedter, Jeff W. Lichtman, Hanspeter Pfister:
Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets. CoRR abs/1807.02739 (2018) - [i14]Moritz Helmstaedter, Jeff Lichtman, Nir Shavit:
High Throughput Connectomics (Dagstuhl Seminar 18481). Dagstuhl Reports 8(11): 112-138 (2018) - 2017
- [i13]Daniel Haehn, Verena Kaynig, James Tompkin, Jeff W. Lichtman, Hanspeter Pfister:
Guided Proofreading of Automatic Segmentations for Connectomics. CoRR abs/1704.00848 (2017) - [i12]David Rolnick, Yaron Meirovitch, Toufiq Parag, Hanspeter Pfister, Viren Jain, Jeff W. Lichtman, Edward S. Boyden, Nir Shavit:
Morphological Error Detection in 3D Segmentations. CoRR abs/1705.10882 (2017) - [i11]Toufiq Parag, Fabian Tschopp, William Grisaitis, Srinivas C. Turaga, Xuewen Zhang, Brian Matejek, Lee Kamentsky, Jeff W. Lichtman, Hanspeter Pfister:
Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration. CoRR abs/1707.08935 (2017) - 2016
- [i10]Felix Gonda, Verena Kaynig, Thouis Ray Jones, Daniel Haehn, Jeff Lichtman, Toufiq Parag, Hanspeter Pfister:
Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures. CoRR abs/1610.09032 (2016) - [i9]Seymour Knowles-Barley, Verena Kaynig, Thouis Ray Jones, Alyssa Wilson, Joshua Morgan, Dongil Lee, Daniel R. Berger, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister:
RhoanaNet Pipeline: Dense Automatic Neural Annotation. CoRR abs/1611.06973 (2016) - [i8]Yaron Meirovitch, Alexander Matveev, Hayk Saribekyan, David M. Budden, David Rolnick, Gergely Ódor, Seymour Knowles-Barley, Thouis Raymond Jones, Hanspeter Pfister, Jeff William Lichtman, Nir Shavit:
A Multi-Pass Approach to Large-Scale Connectomics. CoRR abs/1612.02120 (2016) - [i7]Arthur W. Wetzel, Jennifer Bakal, Markus Dittrich, David G. C. Hildebrand, Josh L. Morgan, Jeff W. Lichtman:
Registering large volume serial-section electron microscopy image sets for neural circuit reconstruction using FFT signal whitening. CoRR abs/1612.04787 (2016) - 2014
- [i6]William R. Gray Roncal, Verena Kaynig-Fittkau, Narayanan Kasthuri, Daniel R. Berger, Joshua T. Vogelstein, Lindsey R. Fernandez, Jeff W. Lichtman, R. Jacob Vogelstein, Hanspeter Pfister, Gregory D. Hager:
Volumetric Exploitation of Synaptic Information using Context Localization and Evaluation. CoRR abs/1403.3724 (2014) - [i5]Ayushi Sinha, William R. Gray Roncal, Narayanan Kasthuri, Ming Chuang, Priya Manavalan, Dean Kleissas, Joshua T. Vogelstein, R. Jacob Vogelstein, Randal C. Burns, Jeff W. Lichtman, Michael M. Kazhdan:
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes. CoRR abs/1404.4800 (2014) - [i4]Ayushi Sinha, William R. Gray Roncal, Narayanan Kasthuri, Jeff W. Lichtman, Randal C. Burns, Michael M. Kazhdan:
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes using High-Resolution Neural EM Data. CoRR abs/1405.1965 (2014) - 2013
- [i3]Verena Kaynig, Amelio Vázquez Reina, Seymour Knowles-Barley, Mike Roberts, Thouis R. Jones, Narayanan Kasthuri, Eric L. Miller, Jeff Lichtman, Hanspeter Pfister:
Large-Scale Automatic Reconstruction of Neuronal Processes from Electron Microscopy Images. CoRR abs/1303.7186 (2013) - [i2]Randal C. Burns, William R. Gray Roncal, Dean Kleissas, Kunal Lillaney, Priya Manavalan, Eric A. Perlman, Daniel R. Berger, Davi Bock, Kwanghun Chung, Logan Grosenick, Narayanan Kasthuri, Nicholas C. Weiler, Karl Deisseroth, Michael M. Kazhdan, Jeff Lichtman, R. Clay Reid, Stephen J. Smith, Alexander S. Szalay, Joshua T. Vogelstein, R. Jacob Vogelstein:
The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience. CoRR abs/1306.3543 (2013) - [i1]Michael M. Kazhdan, Randal C. Burns, Bobby Kasthuri, Jeff Lichtman, R. Jacob Vogelstein, Joshua T. Vogelstein:
Gradient-Domain Processing for Large EM Image Stacks. CoRR abs/1310.0041 (2013)
Coauthor Index
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