The multimodal brain tumor image segmentation benchmark (BRATS)
In this paper we report the set-up and results of the Multimodal Brain Tumor Image
Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and …
Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and …
Multi-atlas segmentation of biomedical images: a survey
JE Iglesias, MR Sabuncu - Medical image analysis, 2015 - Elsevier
Abstract Multi-atlas segmentation (MAS), first introduced and popularized by the pioneering
work of Rohlfing, et al.(2004), Klein, et al.(2005), and Heckemann, et al.(2006), is becoming …
work of Rohlfing, et al.(2004), Klein, et al.(2005), and Heckemann, et al.(2006), is becoming …
Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements
Many studies of the human brain have explored the relationship between cortical thickness
and cognition, phenotype, or disease. Due to the subjectivity and time requirements in …
and cognition, phenotype, or disease. Due to the subjectivity and time requirements in …
A new supervised method for blood vessel segmentation in retinal images by using gray-level and moment invariants-based features
D Marín, A Aquino… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
This paper presents a new supervised method for blood vessel detection in digital retinal
images. This method uses a neural network (NN) scheme for pixel classification and …
images. This method uses a neural network (NN) scheme for pixel classification and …
Comparison and evaluation of methods for liver segmentation from CT datasets
This paper presents a comparison study between 10 automatic and six interactive methods
for liver segmentation from contrast-enhanced CT images. It is based on results from the …
for liver segmentation from contrast-enhanced CT images. It is based on results from the …
An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement
This paper presents an open, multi-vendor, multi-field strength magnetic resonance (MR) T1-
weighted volumetric brain imaging dataset, named Calgary-Campinas-359 (CC-359). The …
weighted volumetric brain imaging dataset, named Calgary-Campinas-359 (CC-359). The …
Cumulative adversity and smaller gray matter volume in medial prefrontal, anterior cingulate, and insula regions
BACKGROUND: Cumulative adversity and stress are associated with risk of psychiatric
disorders. While basic science studies show repeated and chronic stress effects on …
disorders. While basic science studies show repeated and chronic stress effects on …
Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control
Abstract We introduce Bayesian QuickNAT for the automated quality control of whole-brain
segmentation on MRI T1 scans. Next to the Bayesian fully convolutional neural network, we …
segmentation on MRI T1 scans. Next to the Bayesian fully convolutional neural network, we …
Reverse classification accuracy: predicting segmentation performance in the absence of ground truth
VV Valindria, I Lavdas, W Bai… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
When integrating computational tools, such as automatic segmentation, into clinical practice,
it is of utmost importance to be able to assess the level of accuracy on new data and, in …
it is of utmost importance to be able to assess the level of accuracy on new data and, in …
Association of frontal and posterior cortical gray matter volume with time to alcohol relapse: a prospective study
K Rando, KI Hong, Z Bhagwagar… - American Journal of …, 2011 - Am Psychiatric Assoc
Objective: Alcoholism is associated with gray matter volume deficits in frontal and other brain
regions. Whether persistent brain volume deficits in abstinence are predictive of subsequent …
regions. Whether persistent brain volume deficits in abstinence are predictive of subsequent …