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08/24/2022
Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages
Tracking all nuclei of an embryo in noisy and dense fluorescence microsc...
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09/28/2021
Discriminative Attribution from Counterfactuals
We present a method for neural network interpretability by combining fea...
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01/14/2021
How Shift Equivariance Impacts Metric Learning for Instance Segmentation
Metric learning has received conflicting assessments concerning its suit...
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09/17/2020
Microtubule Tracking in Electron Microscopy Volumes
We present a method for microtubule tracking in electron microscopy volu...
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02/28/2020
Instance Separation Emerges from Inpainting
Deep neural networks trained to inpaint partially occluded images show a...
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06/21/2018
Synaptic partner prediction from point annotations in insect brains
High-throughput electron microscopy allows recording of lar- ge stacks o...
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05/07/2018
Synaptic Cleft Segmentation in Non-Isotropic Volume Electron Microscopy of the Complete Drosophila Brain
Neural circuit reconstruction at single synapse resolution is increasing...
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09/09/2017
A Deep Structured Learning Approach Towards Automating Connectome Reconstruction from 3D Electron Micrographs
We present a deep structured learning method for neuron segmentation fro...
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07/04/2017
The Candidate Multi-Cut for Cell Segmentation
Two successful approaches for the segmentation of biomedical images are ...
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03/08/2015
TED: A Tolerant Edit Distance for Segmentation Evaluation
In this paper, we present a novel error measure to compare a segmentatio...
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09/12/2011
