High-precision automated reconstruction of neurons with flood-filling networks

Multicut brings automated neurite segmentation closer to human performance

(2017) Thorsten Beier et al.   NATURE METHODS

Automated synaptic connectivity inference for volume electron microscopy

(2017) Sven Dorkenwald et al.   NATURE METHODS

EM connectomics reveals axonal target variation in a sequence-generating network

(2017) Jörgen Kornfeld et al.   eLife

Saturated Reconstruction of a Volume of Neocortex

(2015) Narayanan Kasthuri et al.   CELL

Large-scale automatic reconstruction of neuronal processes from electron microscopy images

(2015) Verena Kaynig et al.   MEDICAL IMAGE ANALYSIS

SegEM: Efficient Image Analysis for High-Resolution Connectomics

(2015) Manuel Berning et al.   NEURON

Synaptic circuits and their variations within different columns in the visual system ofDrosophila

(2015) Shin-ya Takemura et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Extracellular space preservation aids the connectomic analysis of neural circuits

(2015) Marta Pallotto et al.   eLife

Space–time wiring specificity supports direction selectivity in the retina

(2014) Jinseop S. Kim et al.   NATURE

Graph-based active learning of agglomeration (GALA): a Python library to segment 2D and 3D neuroimages

(2014) Juan Nunez-Iglesias et al.   Frontiers in Neuroinformatics

Connectomic reconstruction of the inner plexiform layer in the mouse retina

(2013) Moritz Helmstaedter et al.   NATURE

Elastic volume reconstruction from series of ultra-thin microscopy sections

(2012) Stephan Saalfeld et al.   NATURE METHODS

Volume electron microscopy for neuronal circuit reconstruction

(2011) Kevin L Briggman et al.   CURRENT OPINION IN NEUROBIOLOGY

High-accuracy neurite reconstruction for high-throughput neuroanatomy

(2011) Moritz Helmstaedter et al.   NATURE NEUROSCIENCE

Machines that learn to segment images: a crucial technology for connectomics

(2010) Viren Jain et al.   CURRENT OPINION IN NEUROBIOLOGY

Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation

(2009) Srinivas C. Turaga et al.   NEURAL COMPUTATION