Brian Matejek

According to our database, Brian Matejek authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Direct Amortized Likelihood Ratio Estimation.

Adam D. Cobb, Brian Matejek, Daniel Elenius, Anirban Roy, Susmit Jha

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

Scalable Biologically-Aware Skeleton Generation for Connectomic Volumes.

Brian Matejek, Tim Franzmeyer, Donglai Wei, Xueying Wang, Jinglin Zhao, Kálmán Palágyi, Jeff W. Lichtman, Hanspeter Pfister

IEEE Trans. Medical Imaging, 2022

Algorithmic Tools for Understanding the Motif Structure of Networks.

Tianyi Chen, Brian Matejek, Michael Mitzenmacher, Charalampos E. Tsourakakis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Two Stream Active Query Suggestion for Active Learning in Connectomics.

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

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field.

Michael Behrisch, Dirk Streeb, Florian Stoffel, Daniel Seebacher, Brian Matejek, Stefan Hagen Weber, Sebastian Mittelstädt, Hanspeter Pfister, Daniel A. Keim

IEEE Trans. Vis. Comput. Graph., 2019

Synapse-Aware Skeleton Generation for Neural Circuits.

Brian Matejek, Donglai Wei, Xueying Wang, Jinglin Zhao, Kálmán Palágyi, Hanspeter Pfister

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Biologically-Constrained Graphs for Global Connectomics Reconstruction.

Brian Matejek, Daniel Haehn, Haidong Zhu, Donglai Wei, Toufiq Parag, Hanspeter Pfister

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Efficient Correction for EM Connectomics with Skeletal Representation.

Konstantin Dimitriev, Toufiq Parag, Brian Matejek, Arie E. Kaufman, Hanspeter Pfister

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Scalable Interactive Visualization for Connectomics.

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

Informatics, 2017

Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration.

Toufiq Parag, Fabian Tschopp, William Grisaitis, Srinivas C. Turaga, Xuewen Zhang, Brian Matejek, Lee Kamentsky, Jeff W. Lichtman, Hanspeter Pfister

CoRR, 2017

Compresso: Efficient Compression of Segmentation Data for Connectomics.

Brian Matejek, Daniel Haehn, Fritz Lekschas, Michael Mitzenmacher, Hanspeter Pfister

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2015

Learning Hierarchical Semantic Segmentations of LIDAR Data.

David Dohan, Brian Matejek, Thomas A. Funkhouser

Proceedings of the 2015 International Conference on 3D Vision, 2015