Brian Matejek

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 14

Top Topics

Interactive Visual

Query Suggestion

Corpus Callosum

Likelihood Ratio

Top Venues

Publications

Adam D. Cobb, Brian Matejek, Daniel Elenius, Anirban Roy, Susmit Jha
Direct Amortized Likelihood Ratio Estimation. AAAI (2024)
Adam D. Cobb, Brian Matejek, Daniel Elenius, Anirban Roy, Susmit Jha
Direct Amortized Likelihood Ratio Estimation. CoRR (2023)
Tianyi Chen, Brian Matejek, Michael Mitzenmacher, Charalampos E. Tsourakakis
Algorithmic Tools for Understanding the Motif Structure of Networks. ECML/PKDD (2) (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) (2022)
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 (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. MICCAI (1) (2021)
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)
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) (2019)
Brian Matejek, Daniel Haehn, Haidong Zhu, Donglai Wei, Toufiq Parag, Hanspeter Pfister
Biologically-Constrained Graphs for Global Connectomics Reconstruction. CVPR (2019)
Brian Matejek, Donglai Wei, Xueying Wang, Jinglin Zhao, Kálmán Palágyi, Hanspeter Pfister
Synapse-Aware Skeleton Generation for Neural Circuits. MICCAI (1) (2019)
Konstantin Dimitriev, Toufiq Parag, Brian Matejek, Arie E. Kaufman, Hanspeter Pfister
Efficient Correction for EM Connectomics with Skeletal Representation. BMVC (2018)
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 (2017)
Brian Matejek, Daniel Haehn, Fritz Lekschas, Michael Mitzenmacher, Hanspeter Pfister
Compresso: Efficient Compression of Segmentation Data for Connectomics. MICCAI (1) (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) (2017)
David Dohan, Brian Matejek, Thomas A. Funkhouser
Learning Hierarchical Semantic Segmentations of LIDAR Data. 3DV (2015)