HIVE-Net: Centerline-aware hierarchical view-ensemble convolutional network for mitochondria segmentation in EM images

Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images

(2019) Simon Graham et al.   MEDICAL IMAGE ANALYSIS

Mitochondria Segmentation From EM Images via Hierarchical Structured Contextual Forest

(2019) Jialin Peng et al.   IEEE Journal of Biomedical and Health Informatics

Large Scale Image Segmentation with Structured Loss based Deep Learning for Connectome Reconstruction

(2018) Jan Funke et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A deep learning model integrating FCNNs and CRFs for brain tumor segmentation

(2018) Xiaomei Zhao et al.   MEDICAL IMAGE ANALYSIS

Multi-class segmentation of neuronal structures in electron microscopy images

(2018) Kendrick Cetina et al.   BMC BIOINFORMATICS

Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network

(2018) Chi Xiao et al.   Frontiers in Neuroanatomy

Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks

(2018) Yuankai Huo et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Residual Deconvolutional Networks for Brain Electron Microscopy Image Segmentation

(2017) Ahmed Fakhry et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology

(2017) Neeraj Kumar et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Saturated Reconstruction of a Volume of Neocortex

(2015) Narayanan Kasthuri et al.   CELL

A workflow for the automatic segmentation of organelles in electron microscopy image stacks

(2014) Alex J. Perez et al.   Frontiers in Neuroanatomy

Mitochondria: In Sickness and in Health

(2012) Jodi Nunnari et al.   CELL

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

(2011) A. Lucchi et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Mitochondrial dynamics in cell death and neurodegeneration

(2010) Dong-Hyung Cho et al.   CELLULAR AND MOLECULAR LIFE SCIENCES