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- Jeff Lichtman
aka: Jeff W. Lichtman, Jeff William Lichtman
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Publication search results
found 72 matches
- 2024
- Jiahao Shi, Hongyu Ge, Shuohong Wang, Donglai Wei, Jiancheng Yang, Ao Cheng, Richard Schalek, Jun Guo, Jeff Lichtman, Lirong Wang, Ruobing Zhang:
Two-stage error detection to improve electron microscopy image mosaicking. Comput. Biol. Medicine 178: 108456 (2024) - 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) - 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) - Shixuan Gu, Jason Ken Adhinarta, Mikhail Bessmeltsev, Jiancheng Yang, Jessica Zhang, Daniel R. Berger, Jeff W. Lichtman, Hanspeter Pfister, Donglai Wei:
FreSeg: Frenet-Frame-based Part Segmentation for 3D Curvilinear Structures. CoRR abs/2404.14435 (2024) - 2023
- 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 - 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 - 2022
- 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) - 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
- 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) - 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) - 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 - 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 - 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) - 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) - 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) - 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) - Zudi Lin, Donglai Wei, Jeff Lichtman, Hanspeter Pfister:
PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics. CoRR abs/2112.05754 (2021) - 2020
- 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 - 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 - 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 - 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 - 2019
- 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) - 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
- Daniel Haehn, Verena Kaynig, James Tompkin, Jeff W. Lichtman, Hanspeter Pfister:
Guided Proofreading of Automatic Segmentations for Connectomics. CVPR 2018: 9319-9328 - 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 - 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) - Moritz Helmstaedter, Jeff Lichtman, Nir Shavit:
High Throughput Connectomics (Dagstuhl Seminar 18481). Dagstuhl Reports 8(11): 112-138 (2018) - 2017
- 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) - 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) - 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
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