Brian Matejek

Most-cited papers

Commercial Visual Analytics Systems–Advances in the Big Data Analytics Field
M. Behrisch, Dirk Streeb, Florian Stoffel, Daniel Seebacher +5 more
2019IEEE Transactions on Visualization and Computer Graphics58 citations Open access
Semantic Scholar
Biologically-Constrained Graphs for Global Connectomics Reconstruction
Brian Matejek, Daniel Haehn, Haidong Zhu, D. Wei +2 more
2019Computer Vision and Pattern Recognition37 citations
Semantic Scholar
Learning Hierarchical Semantic Segmentations of LIDAR Data
David Dohan, Brian Matejek, T. Funkhouser
2015International Conference on 3D Vision36 citations
Semantic Scholar
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions
D. Wei, Kisuk Lee, Hanyu Li, R. Lu +12 more
2021International Conference on Medical Image Computing and Computer-Assisted Intervention27 citations Open access
Semantic Scholar
Scalable Interactive Visualization for Connectomics
Daniel Haehn, J. Hoffer, Brian Matejek, Adi Suissa-Peleg +15 more
2017Informatics27 citations Open access
Semantic Scholar
Two Stream Active Query Suggestion for Active Learning in Connectomics
Zudi Lin, D. Wei, Won-Dong Jang, Siyan Zhou +12 more
2020European Conference on Computer Vision22 citations Open access
Semantic Scholar
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI
Ramneet Kaur, Colin Samplawski, Adam D. Cobb, Anirban Roy +7 more
2024arXiv.org21 citations
Semantic Scholar
Compresso: Efficient Compression of Segmentation Data for Connectomics
Brian Matejek, Daniel Haehn, Fritz Lekschas, M. Mitzenmacher +1 more
2017International Conference on Medical Image Computing and Computer-Assisted Intervention15 citations
Semantic Scholar
Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration
Toufiq Parag, Fabian Tschopp, William Grisaitis, Srinivas C. Turaga +5 more
2017arXiv.org15 citations
Semantic Scholar
K-median Algorithms: Theory in Practice
David Dohan, Stefani Karp, Brian Matejek
201515 citations
Semantic Scholar
Efficient Correction for EM Connectomics with Skeletal Representation
K. Dimitriev, Toufiq Parag, Brian Matejek, A. Kaufman +1 more
2018British Machine Vision Conference12 citations
Semantic Scholar
Direct Amortized Likelihood Ratio Estimation
Adam D. Cobb, Brian Matejek, D. Elenius, Anirban Roy +1 more
2023AAAI Conference on Artificial Intelligence9 citations
Semantic Scholar
Safeguarding Network Intrusion Detection Models from Zero-day Attacks and Concept Drift
Brian Matejek, Ashish Gehani, Nathaniel D. Bastian, Daniel J. Clouse +2 more
9 citations
Semantic Scholar
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding
Trilok Padhi, Ramneet Kaur, Adam D. Cobb, Manoj Acharya +6 more
2025arXiv.org8 citations
Semantic Scholar
Edge-colored directed subgraph enumeration on the connectome
Brian Matejek, D. Wei, Tianyi Chen, C. Tsourakakis +2 more
2022Scientific Reports8 citations Open access
Semantic Scholar
Algorithmic Tools for Understanding the Motif Structure of Networks
Tianyi Chen, Brian Matejek, M. Mitzenmacher, C. Tsourakakis
2022ECML/PKDD7 citations
Semantic Scholar
Synapse-Aware Skeleton Generation for Neural Circuits
Brian Matejek, D. Wei, Xue-Ying Wang, Jinglin Zhao +2 more
2019International Conference on Medical Image Computing and Computer-Assisted Intervention6 citations
Semantic Scholar
SAFE-NID: Self-Attention with Normalizing-Flow Encodings for Network Intrusion Detection
Brian Matejek, Ashish Gehani, Nathaniel D. Bastian, Daniel J. Clouse +2 more
2025Trans. Mach. Learn. Res.5 citations
Semantic Scholar
Melanoma Detection with Uncertainty Quantification
Sanghyuk Kim, Edward J. Gaibor, Brian Matejek, Daniel Haehn
2024IEEE International Symposium on Biomedical Imaging2 citations Open access
Semantic Scholar
Non-Invasive Stress Monitoring From Video
Akshat Tiwari, Brian Matejek, Daniel Haehn
2024IEEE International Symposium on Biomedical Imaging2 citations
Semantic Scholar
Scalable Biologically-Aware Skeleton Generation for Connectomic Volumes
Brian Matejek, Tim Franzmeyer, D. Wei, Xue-Ying Wang +4 more
2022IEEE Transactions on Medical Imaging2 citations Open access
Semantic Scholar
Do Diffusion Models Dream of Electric Planes? Discrete and Continuous Simulation-Based Inference for Aircraft Design
Aurelien Ghiglino, D. Elenius, Anirban Roy, Ramneet Kaur +6 more
2026arXiv.org1 citations
Semantic Scholar
SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding
Malyaban Bal, Brian Matejek, Susmit Jha, Adam D. Cobb
2025Neural Information Processing Systems1 citations
Semantic Scholar
Spatio-Temporal Pruning for Compressed Spiking Large Language Models
Yi Jiang, Malyaban Bal, Brian Matejek, Susmit Jha +2 more
2025arXiv.org1 citations
Semantic Scholar
Breaking Bad: Interpretability-Based Safety Audits of State-of-the-Art LLMs
Krishi Agarwal, Ramneet Kaur, Colin Samplawski, Manoj Acharya +5 more
2026arXiv.org0 citations
Semantic Scholar
Relevance Structures Are a Necessary Prerequisite for Artificial Metacognition
Alexander M. Berenbeim, Ramneet Kaur, Adam D. Cobb, Brian Matejek +3 more
2026IEEE Intelligent Systems0 citations
Semantic Scholar
Resource-Constrained Heuristic for Max-SAT
Brian Matejek, D. Elenius, C. Gentry, D. Stoker +1 more
2024arXiv.org0 citations
Semantic Scholar
A Computational Analysis of Arbitrage Opportunities in Sports Gambling
Brian Matejek
20130 citations
Semantic Scholar
The Unreasonable Benchmark
F. Pérez-Cruz, B. Hitaj, G. Dimitri, Oishi Deb +25 more
0 citations
Semantic Scholar