Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks With Learned Shape Features

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

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

Mitochondrial shape changes: orchestrating cell pathophysiology

(2010) Silvia Campello et al.   EMBO REPORTS

Detection of neuron membranes in electron microscopy images using a serial neural network architecture

(2010) Elizabeth Jurrus et al.   MEDICAL IMAGE ANALYSIS

V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets

(2010) Hanchuan Peng et al.   NATURE BIOTECHNOLOGY

TurboPixels: Fast Superpixels Using Geometric Flows

(2009) A. Levinshtein et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo

(2009) E. Tola et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation

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

Shape-Driven Three-Dimensional Watersnake Segmentation of Biological Membranes in Electron Tomography

(2008) Hieu Nguyen et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Serial Section Scanning Electron Microscopy of Adult Brain Tissue Using Focused Ion Beam Milling

(2008) G. Knott et al.   JOURNAL OF NEUROSCIENCE

Spatio-temporal cell cycle phase analysis using level sets and fast marching methods

(2008) Dirk Padfield et al.   MEDICAL IMAGE ANALYSIS

Mitochondrial fragmentation in neurodegeneration

(2008) Andrew B. Knott et al.   NATURE REVIEWS NEUROSCIENCE

Automatic joint classification and segmentation of whole cell 3D images

(2008) Rajesh Narasimha et al.   PATTERN RECOGNITION

The PINK1/Parkin pathway regulates mitochondrial morphology

(2008) A. C. Poole et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA