Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Matthew Cook

Matthew Cook

Microtubule Tracking in Electron Microscopy Volumes


Sep 17, 2020
Nils Eckstein, Julia Buhmann, Matthew Cook, Jan Funke

Figure 1 for Microtubule Tracking in Electron Microscopy Volumes
Figure 2 for Microtubule Tracking in Electron Microscopy Volumes
Figure 3 for Microtubule Tracking in Electron Microscopy Volumes
Figure 4 for Microtubule Tracking in Electron Microscopy Volumes
* Accepted at MICCAI 2020 
  Access Paper or Ask Questions

Outlier Detection through Null Space Analysis of Neural Networks


Jul 02, 2020
Matthew Cook, Alina Zare, Paul Gader

Figure 1 for Outlier Detection through Null Space Analysis of Neural Networks
Figure 2 for Outlier Detection through Null Space Analysis of Neural Networks
Figure 3 for Outlier Detection through Null Space Analysis of Neural Networks
Figure 4 for Outlier Detection through Null Space Analysis of Neural Networks
* 6 pages, 4 figures, Presented at the ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning 
  Access Paper or Ask Questions

Estimation of Z-Thickness and XY-Anisotropy of Electron Microscopy Images using Gaussian Processes


Feb 04, 2020
Thanuja D. Ambegoda, Julien N. P. Martel, Jozef Adamcik, Matthew Cook, Richard H. R. Hahnloser

Figure 1 for Estimation of Z-Thickness and XY-Anisotropy of Electron Microscopy Images using Gaussian Processes
Figure 2 for Estimation of Z-Thickness and XY-Anisotropy of Electron Microscopy Images using Gaussian Processes
Figure 3 for Estimation of Z-Thickness and XY-Anisotropy of Electron Microscopy Images using Gaussian Processes
Figure 4 for Estimation of Z-Thickness and XY-Anisotropy of Electron Microscopy Images using Gaussian Processes
* Journal of Neuroinformatics and Neuroimaging. 2018;2(2):15-22 
  Access Paper or Ask Questions

Efficient 2D neuron boundary segmentation with local topological constraints


Feb 03, 2020
Thanuja D. Ambegoda, Matthew Cook

Figure 1 for Efficient 2D neuron boundary segmentation with local topological constraints
Figure 2 for Efficient 2D neuron boundary segmentation with local topological constraints
Figure 3 for Efficient 2D neuron boundary segmentation with local topological constraints
Figure 4 for Efficient 2D neuron boundary segmentation with local topological constraints
* Presented at the Connectomics Workshop - Neural Information Processing Systems (NIPS), December 10th, 2016 - Barcelona, Spain 
  Access Paper or Ask Questions

FireNet: Real-time Segmentation of Fire Perimeter from Aerial Video


Oct 14, 2019
Jigar Doshi, Dominic Garcia, Cliff Massey, Pablo Llueca, Nicolas Borensztein, Michael Baird, Matthew Cook, Devaki Raj

Figure 1 for FireNet: Real-time Segmentation of Fire Perimeter from Aerial Video
Figure 2 for FireNet: Real-time Segmentation of Fire Perimeter from Aerial Video
* Published at NeurIPS 2019; Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response(AI+HADR 2019) 
  Access Paper or Ask Questions

Comparison of Possibilistic Fuzzy Local Information C-Means and Possibilistic K-Nearest Neighbors for Synthetic Aperture Sonar Image Segmentation


Apr 01, 2019
Joshua Peeples, Matthew Cook, Daniel Suen, Alina Zare, James Keller


  Access Paper or Ask Questions

Synaptic partner prediction from point annotations in insect brains


Jul 16, 2018
Julia Buhmann, Renate Krause, Rodrigo Ceballos Lentini, Nils Eckstein, Matthew Cook, Srinivas Turaga, Jan Funke

Figure 1 for Synaptic partner prediction from point annotations in insect brains
Figure 2 for Synaptic partner prediction from point annotations in insect brains

  Access Paper or Ask Questions

Deep Learning in the Automotive Industry: Applications and Tools


Apr 30, 2017
Andre Luckow, Matthew Cook, Nathan Ashcraft, Edwin Weill, Emil Djerekarov, Bennie Vorster

Figure 1 for Deep Learning in the Automotive Industry: Applications and Tools
Figure 2 for Deep Learning in the Automotive Industry: Applications and Tools
Figure 3 for Deep Learning in the Automotive Industry: Applications and Tools
Figure 4 for Deep Learning in the Automotive Industry: Applications and Tools
* 10 pages 
  Access Paper or Ask Questions

A wake-sleep algorithm for recurrent, spiking neural networks


Mar 18, 2017
Johannes Thiele, Peter Diehl, Matthew Cook

Figure 1 for A wake-sleep algorithm for recurrent, spiking neural networks
Figure 2 for A wake-sleep algorithm for recurrent, spiking neural networks
Figure 3 for A wake-sleep algorithm for recurrent, spiking neural networks
Figure 4 for A wake-sleep algorithm for recurrent, spiking neural networks
* Presented at the NIPS 2016 workshop "Computing with Spikes" 
  Access Paper or Ask Questions

Learning and Inferring Relations in Cortical Networks


Aug 29, 2016
Peter U. Diehl, Matthew Cook

Figure 1 for Learning and Inferring Relations in Cortical Networks
Figure 2 for Learning and Inferring Relations in Cortical Networks
Figure 3 for Learning and Inferring Relations in Cortical Networks
Figure 4 for Learning and Inferring Relations in Cortical Networks

  Access Paper or Ask Questions

Adaptive coherence estimator (ACE) for explosive hazard detection using wideband electromagnetic induction (WEMI)


May 05, 2016
Brendan Alvey, Alina Zare, Matthew Cook, Dominic K. Ho

* Proceedings of the SPIE, 2016, Corrected reference formatting and figure 
  Access Paper or Ask Questions

Buried object detection using handheld WEMI with task-driven extended functions of multiple instances


Mar 19, 2016
Matthew Cook, Alina Zare, Dominic Ho

* Proceedings of the SPIE, 2016 
  Access Paper or Ask Questions

TED: A Tolerant Edit Distance for Segmentation Evaluation


Feb 01, 2016
Jan Funke, Francesc Moreno-Noguer, Albert Cardona, Matthew Cook

Figure 1 for TED: A Tolerant Edit Distance for Segmentation Evaluation
Figure 2 for TED: A Tolerant Edit Distance for Segmentation Evaluation
Figure 3 for TED: A Tolerant Edit Distance for Segmentation Evaluation

  Access Paper or Ask Questions

Multi-Hypothesis CRF-Segmentation of Neural Tissue in Anisotropic EM Volumes


Sep 18, 2011
Jan Funke, Björn Andres, Fred Hamprecht, Albert Cardona, Matthew Cook

Figure 1 for Multi-Hypothesis CRF-Segmentation of Neural Tissue in Anisotropic EM Volumes
Figure 2 for Multi-Hypothesis CRF-Segmentation of Neural Tissue in Anisotropic EM Volumes
Figure 3 for Multi-Hypothesis CRF-Segmentation of Neural Tissue in Anisotropic EM Volumes
Figure 4 for Multi-Hypothesis CRF-Segmentation of Neural Tissue in Anisotropic EM Volumes

  Access Paper or Ask Questions