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2020 – today
- 2024
[c10]Adam D. Cobb, Brian Matejek, Daniel Elenius, Anirban Roy, Susmit Jha:
Direct Amortized Likelihood Ratio Estimation. AAAI 2024: 20362-20369- [c9]Akshata Tiwari, Brian Matejek, Daniel Haehn:
Non-Invasive Stress Monitoring From Video. ISBI 2024: 1-5 - [i4]Brian Matejek, Daniel Elenius, Cale Gentry, David Stoker, Adam D. Cobb:
Resource-Constrained Heuristic for Max-SAT. CoRR abs/2410.09173 (2024) - 2023
- [i3]Adam D. Cobb, Brian Matejek, Daniel Elenius, Anirban Roy, Susmit Jha:
Direct Amortized Likelihood Ratio Estimation. CoRR abs/2311.10571 (2023) - 2022
- [j3]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) - [c8]Tianyi Chen, Brian Matejek, Michael Mitzenmacher, Charalampos E. Tsourakakis:
Algorithmic Tools for Understanding the Motif Structure of Networks. ECML/PKDD (2) 2022: 3-19 - 2021
- [c7]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 - [i2]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) - 2020
- [c6]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
2010 – 2019
- 2019
- [j2]Michael Behrisch, Dirk Streeb, Florian Stoffel, Daniel Seebacher, Brian Matejek, Stefan Hagen Weber, Sebastian Mittelstädt, Hanspeter Pfister, Daniel A. Keim:
Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field. IEEE Trans. Vis. Comput. Graph. 25(10): 3011-3031 (2019) - [c5]Brian Matejek, Daniel Haehn, Haidong Zhu, Donglai Wei, Toufiq Parag, Hanspeter Pfister:
Biologically-Constrained Graphs for Global Connectomics Reconstruction. CVPR 2019: 2089-2098 - [c4]Brian Matejek, Donglai Wei, Xueying Wang, Jinglin Zhao, Kálmán Palágyi, Hanspeter Pfister:
Synapse-Aware Skeleton Generation for Neural Circuits. MICCAI (1) 2019: 227-235 - 2018
- [c3]Konstantin Dimitriev, Toufiq Parag, Brian Matejek, Arie E. Kaufman, Hanspeter Pfister:
Efficient Correction for EM Connectomics with Skeletal Representation. BMVC 2018: 47 - 2017
- [j1]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) - [c2]Brian Matejek, Daniel Haehn, Fritz Lekschas, Michael Mitzenmacher, Hanspeter Pfister:
Compresso: Efficient Compression of Segmentation Data for Connectomics. MICCAI (1) 2017: 781-788 - [i1]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) - 2015
- [c1]David Dohan, Brian Matejek, Thomas A. Funkhouser:
Learning Hierarchical Semantic Segmentations of LIDAR Data. 3DV 2015: 273-281
Coauthor Index
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