A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling

A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification

(2020) Yutong Xie et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation

(2020) Pierrick Coupé et al.   NEUROIMAGE

FastSurfer - A fast and accurate deep learning based neuroimaging pipeline

(2020) Leonie Henschel et al.   NEUROIMAGE

MI-UNet: Multi-Inputs UNet Incorporating Brain Parcellation for Stroke Lesion Segmentation From T1-Weighted Magnetic Resonance Images

(2020) Yue Zhang et al.   IEEE Journal of Biomedical and Health Informatics

Deep Reinforcement Learning for Weakly-Supervised Lymph Node Segmentation in CT Images

(2020) Zhe Li et al.   IEEE Journal of Biomedical and Health Informatics

PSACNN: Pulse sequence adaptive fast whole brain segmentation

(2019) Amod Jog et al.   NEUROIMAGE

M3Net: A multi-model, multi-size, and multi-view deep neural network for brain magnetic resonance image segmentation

(2019) Jie Wei et al.   PATTERN RECOGNITION

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

(2019) Li Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images

(2019) Haozhe Jia et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Local contextual information and Gaussian function induced fuzzy clustering algorithm for brain MR image segmentation and intensity inhomogeneity estimation

(2018) Nabanita Mahata et al.   APPLIED SOFT COMPUTING

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

(2018) Jose Dolz et al.   NEUROIMAGE

Computational neuroanatomy of baby brains: A review

(2018) Gang Li et al.   NEUROIMAGE

White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks

(2018) R. Guerrero et al.   NeuroImage-Clinical

QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy

(2018) Abhijit Guha Roy et al.   NEUROIMAGE

Holistically-Nested Edge Detection

(2017) Saining Xie et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling

(2016) Minghui Deng et al.   MEDICAL PHYSICS

Automatic quantification of normal cortical folding patterns from fetal brain MRI

(2014) R. Wright et al.   NEUROIMAGE

A generative probability model of joint label fusion for multi-atlas based brain segmentation

(2013) Guorong Wu et al.   MEDICAL IMAGE ANALYSIS

LABEL: Pediatric brain extraction using learning-based meta-algorithm

(2012) Feng Shi et al.   NEUROIMAGE

FreeSurfer

(2012) Bruce Fischl   NEUROIMAGE

Automatic segmentation of neonatal images using convex optimization and coupled level sets

(2011) Li Wang et al.   NEUROIMAGE

Consistent reconstruction of cortical surfaces from longitudinal brain MR images

(2011) Gang Li et al.   NEUROIMAGE

ABSORB: Atlas building by self-organized registration and bundling

(2010) Hongjun Jia et al.   NEUROIMAGE

Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation

(2009) Zhuowen Tu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy

(2009) P. Aljabar et al.   NEUROIMAGE

The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods

(2008) Clifford R. Jack et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Multimodality image registration by maximization of quantitative–qualitative measure of mutual information

(2007) Hongxia Luan et al.   PATTERN RECOGNITION