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Publications using IBSR data
Description: Publications using IBSR data
Updated: Jul 5, 2013
PubMed Mentions ( 90 )+
A decade of change in obesity surgery. National Bariatric Surgery Registry (NBSR) Contributors.
Description: Mason, E E, et al. A decade of change in obesity surgery. National Bariatric Surgery Registry (NBSR) Contributors. ''Obes Surg''. 1997 Jun; '''7''' (3):189-97
Updated: Dec 16, 2017
Magnetic resonance image tissue classification using a partial volume model.
Description: Shattuck, D W, et al. Magnetic resonance image tissue classification using a partial volume model. ''Neuroimage''. 2001 May; '''13''' (5):856-76
Updated: Dec 16, 2017
Gallbladder management in obesity surgery.
Description: Mason, Edward E, et al. Gallbladder management in obesity surgery. ''Obes Surg''. 2002 Apr; '''12''' (2):222-9
Updated: Dec 16, 2017
Automated histogram-based brain segmentation in T1-weighted three-dimensional magnetic resonance head images.
Description: Shan, Zu Y, et al. Automated histogram-based brain segmentation in T1-weighted three-dimensional magnetic resonance head images. ''Neuroimage''. 2002 Nov; '''17''' (3):1587-98
Updated: Dec 16, 2017
Multivariate statistical model for 3D image segmentation with application to medical images.
Description: John, Nigel M, et al. Multivariate statistical model for 3D image segmentation with application to medical images. ''J Digit Imaging''. 2003 Dec; '''16''' (4):365-77
Updated: Dec 16, 2017
N-RAP scaffolds I-Z-I assembly during myofibrillogenesis in cultured chick cardiomyocytes.
Description: Carroll, Stefanie, et al. N-RAP scaffolds I-Z-I assembly during myofibrillogenesis in cultured chick cardiomyocytes. ''J Cell Sci''. 2004 Jan 1; '''117''' (Pt 1):105-14
Updated: Dec 16, 2017
Coupled shape distribution-based segmentation of multiple objects.
Description: Litvin, Andrew, et al. Coupled shape distribution-based segmentation of multiple objects. ''Inf Process Med Imaging''. 2005; '''19''': 345-56
Updated: Dec 16, 2017
Shape-based averaging for combination of multiple segmentations.
Description: Rohlfing, T, et al. Shape-based averaging for combination of multiple segmentations. ''Med Image Comput Comput Assist Interv''. 2005; '''8''' (Pt 2):838-45
Updated: Dec 16, 2017
Skull-stripping magnetic resonance brain images using a model-based level set.
Description: Zhuang, Audrey H, et al. Skull-stripping magnetic resonance brain images using a model-based level set. ''Neuroimage''. 2006 Aug 1; '''32''' (1):79-92
Updated: Dec 16, 2017
Long-term effect of ileogastrostomy surgery for morbid obesity on diabetes mellitus and sleep apnea.
Description: Cleator, Iain G M, et al. Long-term effect of ileogastrostomy surgery for morbid obesity on diabetes mellitus and sleep apnea. ''Obes Surg''. 2006 Oct; '''16''' (10):1337-41
Updated: Dec 16, 2017
Digital homeomorphisms in deformable registration.
Description: Bazin, Pierre-Louis, et al. Digital homeomorphisms in deformable registration. ''Inf Process Med Imaging''. 2007; '''20''': 211-22
Updated: Dec 16, 2017
L-Measure: a web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies.
Description: Scorcioni, Ruggero, et al. L-Measure: a web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies. ''Nat Protoc''. 2008; '''3''' (5):866-76
Updated: Dec 16, 2017
Non-rigid image registration with SalphaS filters.
Description: Liao, Shu, et al. Non-rigid image registration with SalphaS filters. ''Med Image Comput Comput Assist Interv''. 2008; '''11''' (Pt 2):888-96
Updated: Dec 16, 2017
Review of meta-analytic comparisons of bariatric surgery with a focus on laparoscopic adjustable gastric banding.
Description: Cunneen, Scott A. Review of meta-analytic comparisons of bariatric surgery with a focus on laparoscopic adjustable gastric banding. ''Surg Obes Relat Dis''. 2008 May-Jun; '''4''' (3 Suppl):S47-55
Updated: Dec 16, 2017
Automatic volumetry on MR brain images can support diagnostic decision making.
Description: Heckemann, Rolf A, et al. Automatic volumetry on MR brain images can support diagnostic decision making. ''BMC Med Imaging''. 2008 May 23; '''8''': 9
Updated: Sep 21, 2019
Automatic segmentation of brain structures using geometric moment invariants and artificial neural networks.
Description: Moghaddam, Mostafa Jabarouti, et al. Automatic segmentation of brain structures using geometric moment invariants and artificial neural networks. ''Inf Process Med Imaging''. 2009; '''21''': 326-37
Updated: Dec 16, 2017
Joint brain parametric T1-map segmentation and RF inhomogeneity calibration.
Description: Chen, Ping-Feng, et al. Joint brain parametric T1-map segmentation and RF inhomogeneity calibration. ''Int J Biomed Imaging''. 2009; '''2009''': 269525
Updated: Sep 21, 2019
Non-rigid image registration with uniform gradient spherical patterns.
Description: Liao, Shu, et al. Non-rigid image registration with uniform gradient spherical patterns. ''Med Image Comput Comput Assist Interv''. 2009; '''12''' (Pt 1):696-704
Updated: Dec 16, 2017
Non-rigid image registration with uniform spherical structure patterns.
Description: Liao, Shu, et al. Non-rigid image registration with uniform spherical structure patterns. ''Inf Process Med Imaging''. 2009; '''21''': 163-75
Updated: Dec 16, 2017
Robust atlas-based brain segmentation using multi-structure confidence-weighted registration.
Description: Khan, Ali R, et al. Robust atlas-based brain segmentation using multi-structure confidence-weighted registration. ''Med Image Comput Comput Assist Interv''. 2009; '''12''' (Pt 2):549-57
Updated: Dec 16, 2017
Automatic segmentation of magnetic resonance images using a decision tree with spatial information.
Description: Chao, Wen-Hung, et al. Automatic segmentation of magnetic resonance images using a decision tree with spatial information. ''Comput Med Imaging Graph''. 2009 Mar; '''33''' (2):111-21
Updated: Dec 16, 2017
Fluid vector flow and applications in brain tumor segmentation.
Description: Wang, Tao, et al. Fluid vector flow and applications in brain tumor segmentation. ''IEEE Trans Biomed Eng''. 2009 Mar; '''56''' (3):781-9
Updated: Dec 16, 2017
Online resource for validation of brain segmentation methods.
Description: Shattuck, David W, et al. Online resource for validation of brain segmentation methods. ''Neuroimage''. 2009 Apr 1; '''45''' (2):431-9
Updated: Sep 21, 2019
Automatic segmentation of the human brain ventricles from MR images by knowledge-based region growing and trimming.
Description: Liu, Jimin, et al. Automatic segmentation of the human brain ventricles from MR images by knowledge-based region growing and trimming. ''Neuroinformatics''. 2009 Jun; '''7''' (2):131-46
Updated: Dec 16, 2017
MR image segmentation using a power transformation approach.
Description: Lee, Juin-Der, et al. MR image segmentation using a power transformation approach. ''IEEE Trans Med Imaging''. 2009 Jun; '''28''' (6):894-905
Updated: Dec 16, 2017
Automatic segmentation of the hippocampus and the amygdala driven by hybrid constraints: method and validation.
Description: Chupin, M, et al. Automatic segmentation of the hippocampus and the amygdala driven by hybrid constraints: method and validation. ''Neuroimage''. 2009 Jul 1; '''46''' (3):749-61
Updated: Sep 21, 2019
Symmetric inverse consistent nonlinear registration driven by mutual information.
Description: Tao, Guozhi, et al. Symmetric inverse consistent nonlinear registration driven by mutual information. ''Comput Methods Programs Biomed''. 2009 Aug; '''95''' (2):105-15
Updated: Dec 16, 2017
Accurate and robust extraction of brain regions using a deformable model based on radial basis functions.
Description: Liu, Jia-Xiu, et al. Accurate and robust extraction of brain regions using a deformable model based on radial basis functions. ''J Neurosci Methods''. 2009 Oct 15; '''183''' (2):255-66
Updated: Dec 16, 2017
An integrated tool for automated visualization of subdural electrodes in epilepsy surgery evaluation.
Description: Wagner, Stefan, et al. An integrated tool for automated visualization of subdural electrodes in epilepsy surgery evaluation. ''Int J Comput Assist Radiol Surg''. 2009 Nov; '''4''' (6):609-16
Updated: Dec 16, 2017
Automatic identification of the reference system based on the fourth ventricular landmarks in T1-weighted MR images.
Description: Fu, Yili, et al. Automatic identification of the reference system based on the fourth ventricular landmarks in T1-weighted MR images. ''Acad Radiol''. 2010 Jan; '''17''' (1):67-74
Updated: Dec 16, 2017
Feature based nonrigid brain MR image registration with symmetric alpha stable filters.
Description: Liao, Shu, et al. Feature based nonrigid brain MR image registration with symmetric alpha stable filters. ''IEEE Trans Med Imaging''. 2010 Jan; '''29''' (1):106-19
Updated: Dec 16, 2017
Orchestration of "presto" and "largo" synchrony in up-down activity of cortical networks.
Description: Gullo, Francesca, et al. Orchestration of "presto" and "largo" synchrony in up-down activity of cortical networks. ''Front Neural Circuits''. 2010; '''4''': 11
Updated: Dec 16, 2017
Skull stripping using graph cuts.
Description: Sadananthan, Suresh A, et al. Skull stripping using graph cuts. ''Neuroimage''. 2010 Jan 1; '''49''' (1):225-39
Updated: Dec 16, 2017
Fast and robust multi-atlas segmentation of brain magnetic resonance images.
Description: Lotjonen, Jyrki Mp, et al. Fast and robust multi-atlas segmentation of brain magnetic resonance images. ''Neuroimage''. 2010 Feb 1; '''49''' (3):2352-65
Updated: Dec 16, 2017
Visualization of image data from cells to organisms.
Description: Walter, Thomas, et al. Visualization of image data from cells to organisms. ''Nat Methods''. 2010 Mar; '''7''' (3 Suppl):S26-41
Updated: Dec 16, 2017
Three-dimensional coupled-object segmentation using symmetry and tissue type information.
Description: Bijari, Payam B, et al. Three-dimensional coupled-object segmentation using symmetry and tissue type information. ''Comput Med Imaging Graph''. 2010 Apr; '''34''' (3):236-49
Updated: Dec 16, 2017
The onconeural antigen cdr2 is a novel APC/C target that acts in mitosis to regulate c-myc target genes in mammalian tumor cells.
Description: O'Donovan, Kevin J, et al. The onconeural antigen cdr2 is a novel APC/C target that acts in mitosis to regulate c-myc target genes in mammalian tumor cells. ''PLoS One''. 2010 Apr 7; '''5''' (4):e10045
Updated: Dec 16, 2017
Novel protein kinase D inhibitors cause potent arrest in prostate cancer cell growth and motility.
Description: Lavalle, Courtney R, et al. Novel protein kinase D inhibitors cause potent arrest in prostate cancer cell growth and motility. ''BMC Chem Biol''. 2010 May 5; '''10''': 5
Updated: Dec 16, 2017
A general system for automatic biomedical image segmentation using intensity neighborhoods.
Description: Chen, Cheng, et al. A general system for automatic biomedical image segmentation using intensity neighborhoods. ''Int J Biomed Imaging''. 2011; '''2011''': 606857
Updated: Dec 16, 2017
Segmentation of brain images using adaptive atlases with application to ventriculomegaly.
Description: Shiee, Navid, et al. Segmentation of brain images using adaptive atlases with application to ventriculomegaly. ''Inf Process Med Imaging''. 2011; '''22''': 1-12
Updated: Dec 16, 2017
Unsupervised MRI segmentation of brain tissues using a local linear model and level set.
Description: Rivest-Henault, David, et al. Unsupervised MRI segmentation of brain tissues using a local linear model and level set. ''Magn Reson Imaging''. 2011 Feb; '''29''' (2):243-59
Updated: Dec 16, 2017
Diffeomorphic registration using geodesic shooting and Gauss-Newton optimisation.
Description: Ashburner, John, et al. Diffeomorphic registration using geodesic shooting and Gauss-Newton optimisation. ''Neuroimage''. 2011 Apr 1; '''55''' (3):954-67
Updated: Sep 21, 2019
A discriminative model-constrained EM approach to 3D MRI brain tissue classification and intensity non-uniformity correction.
Description: Wels, Michael, et al. A discriminative model-constrained EM approach to 3D MRI brain tissue classification and intensity non-uniformity correction. ''Phys Med Biol''. 2011 Jun 7; '''56''' (11):3269-300
Updated: Dec 16, 2017
Brain magnetic resonance image segmentation using novel improvement for expectation maximizing.
Description: Balafar, Mohammad A, et al. Brain magnetic resonance image segmentation using novel improvement for expectation maximizing. ''Neurosciences (Riyadh)''. 2011 Jul; '''16''' (3):242-7
Updated: Dec 16, 2017
Skull-stripping method for brain MRI using a 3D level set with a speedup operator.
Description: Hwang, Jinyoung, et al. Skull-stripping method for brain MRI using a 3D level set with a speedup operator. ''J Magn Reson Imaging''. 2011 Aug; '''34''' (2):445-56
Updated: Dec 16, 2017
Robust brain extraction across datasets and comparison with publicly available methods.
Description: Iglesias, Juan Eugenio, et al. Robust brain extraction across datasets and comparison with publicly available methods. ''IEEE Trans Med Imaging''. 2011 Sep; '''30''' (9):1617-34
Updated: Dec 16, 2017
An automated and simple method for brain MR image extraction.
Description: Zhang, Haiyan, et al. An automated and simple method for brain MR image extraction. ''Biomed Eng Online''. 2011 Sep 13; '''10''': 81
Updated: Dec 16, 2017
Spatial based expectation maximizing (EM).
Description: Balafar, M A. Spatial based expectation maximizing (EM). ''Diagn Pathol''. 2011 Oct 26; '''6''': 103
Updated: Sep 21, 2019
Dataset of magnetic resonance images of nonepileptic subjects and temporal lobe epilepsy patients for validation of hippocampal segmentation techniques.
Description: Jafari-Khouzani, Kourosh, et al. Dataset of magnetic resonance images of nonepileptic subjects and temporal lobe epilepsy patients for validation of hippocampal segmentation techniques. ''Neuroinformatics''. 2011 Dec; '''9''' (4):335-46
Updated: Dec 16, 2017
A fully-automatic caudate nucleus segmentation of brain MRI: application in volumetric analysis of pediatric attention-deficit/hyperactivity disorder.
Description: Igual, Laura, et al. A fully-automatic caudate nucleus segmentation of brain MRI: application in volumetric analysis of pediatric attention-deficit/hyperactivity disorder. ''Biomed Eng Online''. 2011 Dec 5; '''10''': 105
Updated: Dec 16, 2017
Accuracy and reliability of automated gray matter segmentation pathways on real and simulated structural magnetic resonance images of the human brain.
Description: Eggert, Lucas D, et al. Accuracy and reliability of automated gray matter segmentation pathways on real and simulated structural magnetic resonance images of the human brain. ''PLoS One''. 2012; '''7''' (9):e45081
Updated: Sep 21, 2019
A hybrid technique for medical image segmentation.
Description: Nyma, Alamgir, et al. A hybrid technique for medical image segmentation. ''J Biomed Biotechnol''. 2012; '''2012''': 830252
Updated: Dec 16, 2017
An accurate skull stripping method based on simplex meshes and histogram analysis for magnetic resonance images.
Description: Galdames, Francisco J, et al. An accurate skull stripping method based on simplex meshes and histogram analysis for magnetic resonance images. ''J Neurosci Methods''. 2012; '''206''' (2):103-19
Updated: Dec 16, 2017
Colorization and automated segmentation of human T2 MR brain images for characterization of soft tissues.
Description: Attique, Muhammad, et al. Colorization and automated segmentation of human T2 MR brain images for characterization of soft tissues. ''PLoS One''. 2012; '''7''' (3):e33616
Updated: Dec 16, 2017
Estimation of the prior distribution of ground truth in the STAPLE algorithm: an empirical Bayesian approach.
Description: Akhondi-Asl, Alireza, et al. Estimation of the prior distribution of ground truth in the STAPLE algorithm: an empirical Bayesian approach. ''Med Image Comput Comput Assist Interv''. 2012; '''15''' (Pt 1):593-600
Updated: Dec 16, 2017
Exact distinction of excitatory and inhibitory neurons in neural networks: a study with GFP-GAD67 neurons optically and electrophysiologically recognized on multielectrode arrays.
Description: Becchetti, Andrea, et al. Exact distinction of excitatory and inhibitory neurons in neural networks: a study with GFP-GAD67 neurons optically and electrophysiologically recognized on multielectrode arrays. ''Front Neural Circuits''. 2012; '''6''': 63
Updated: Dec 16, 2017
Nonrigid brain MR image registration using uniform spherical region descriptor.
Description: Liao, Shu, et al. Nonrigid brain MR image registration using uniform spherical region descriptor. ''IEEE Trans Image Process''. 2012 Jan; '''21''' (1):157-69
Updated: Dec 16, 2017
Novel modulatory effects of neurosteroids and benzodiazepines on excitatory and inhibitory neurons excitability: a multi-electrode array recording study.
Description: Puia, Giulia, et al. Novel modulatory effects of neurosteroids and benzodiazepines on excitatory and inhibitory neurons excitability: a multi-electrode array recording study. ''Front Neural Circuits''. 2012; '''6''': 94
Updated: Dec 16, 2017
Quick fix or long-term cure? Pros and cons of bariatric surgery.
Description: Madura, James A 2nd, et al. Quick fix or long-term cure? Pros and cons of bariatric surgery. ''F1000 Med Rep''. 2012; '''4''': 19
Updated: Dec 16, 2017
Regional cortical thickness in relapsing remitting multiple sclerosis: A multi-center study.
Description: Narayana, Ponnada A, et al. Regional cortical thickness in relapsing remitting multiple sclerosis: A multi-center study. ''Neuroimage Clin''. 2012; '''2''': 120-31
Updated: Sep 21, 2019
Region-based Active Contour Model based on Markov Random Field to Segment Images with Intensity Non-Uniformity and Noise.
Description: Shahvaran, Zahra, et al. Region-based Active Contour Model based on Markov Random Field to Segment Images with Intensity Non-Uniformity and Noise. ''J Med Signals Sens''. 2012 Jan; '''2''' (1):17-24
Updated: Sep 21, 2019
Functional redundancy between DNA ligases I and III in DNA replication in vertebrate cells.
Description: Arakawa, Hiroshi, et al. Functional redundancy between DNA ligases I and III in DNA replication in vertebrate cells. ''Nucleic Acids Res''. 2012 Mar; '''40''' (6):2599-610
Updated: Dec 16, 2017
Topology-based nonlocal fuzzy segmentation of brain MR image with inhomogeneous and partial volume intensity.
Description: Yu, Gang, et al. Topology-based nonlocal fuzzy segmentation of brain MR image with inhomogeneous and partial volume intensity. ''J Clin Neurophysiol''. 2012 Jun; '''29''' (3):278-86
Updated: Dec 16, 2017
Biological imaging software tools.
Description: Eliceiri, Kevin W, et al. Biological imaging software tools. ''Nat Methods''. 2012 Jun 28; '''9''' (7):697-710
Updated: Dec 16, 2017
Improved labeling of subcortical brain structures in atlas-based segmentation of magnetic resonance images.
Description: Yousefi, Siamak, et al. Improved labeling of subcortical brain structures in atlas-based segmentation of magnetic resonance images. ''IEEE Trans Biomed Eng''. 2012 Jul; '''59''' (7):1808-17
Updated: Dec 16, 2017
Level set segmentation of medical images based on local region statistics and maximum a posteriori probability.
Description: Cui, Wenchao, et al. Level set segmentation of medical images based on local region statistics and maximum a posteriori probability. ''Comput Math Methods Med''. 2013; '''2013''': 570635
Updated: Dec 16, 2017
Nonrigid medical image registration based on mesh deformation constraints.
Description: Lin, XiangBo, et al. Nonrigid medical image registration based on mesh deformation constraints. ''Comput Math Methods Med''. 2013; '''2013''': 373082
Updated: Sep 21, 2019
Segmentation of brain MRI using SOM-FCM-based method and 3D statistical descriptors.
Description: Ortiz, Andres, et al. Segmentation of brain MRI using SOM-FCM-based method and 3D statistical descriptors. ''Comput Math Methods Med''. 2013; '''2013''': 638563
Updated: Dec 16, 2017
Unsupervised approach data analysis based on fuzzy possibilistic clustering: application to medical image MRI.
Description: El Harchaoui, Nour-Eddine, et al. Unsupervised approach data analysis based on fuzzy possibilistic clustering: application to medical image MRI. ''Comput Intell Neurosci''. 2013; '''2013''': 435497
Updated: Sep 21, 2019
Segmentation of brain tissues using a 3-D multi-layer hidden Markov model.
Description: Foruzan, Amir H, et al. Segmentation of brain tissues using a 3-D multi-layer hidden Markov model. ''Comput Biol Med''. 2013 Feb; '''43''' (2):121-30
Updated: Dec 16, 2017
Ensemble Semi-supervised Frame-work for Brain Magnetic Resonance Imaging Tissue Segmentation.
Description: Azmi, Reza, et al. Ensemble Semi-supervised Frame-work for Brain Magnetic Resonance Imaging Tissue Segmentation. ''J Med Signals Sens''. 2013 Apr; '''3''' (2):94-106
Updated: Dec 16, 2017
Brain extraction from cerebral MRI volume using a hybrid level set based active contour neighborhood model.
Description: Jiang, Shaofeng, et al. Brain extraction from cerebral MRI volume using a hybrid level set based active contour neighborhood model. ''Biomed Eng Online''. 2013 Apr 12; '''12''': 31
Updated: Dec 16, 2017
A hybrid hierarchical approach for brain tissue segmentation by combining brain atlas and least square support vector machine.
Description: Kasiri, Keyvan, et al. A hybrid hierarchical approach for brain tissue segmentation by combining brain atlas and least square support vector machine. ''J Med Signals Sens''. 2013 Oct; '''3''' (4):232-43
Updated: Sep 21, 2019
Automatic segmentation of brain MR images using an adaptive balloon snake model with fuzzy classification.
Description: Liu, Hung-Ting, et al. Automatic segmentation of brain MR images using an adaptive balloon snake model with fuzzy classification. ''Med Biol Eng Comput''. 2013 Oct; '''51''' (10):1091-104
Updated: Dec 16, 2017
Deformable templates guided discriminative models for robust 3D brain MRI segmentation.
Description: Liu, Cheng-Yi, et al. Deformable templates guided discriminative models for robust 3D brain MRI segmentation. ''Neuroinformatics''. 2013 Oct; '''11''' (4):447-68
Updated: Dec 16, 2017
An Automated MR Image Segmentation System Using Multi-layer Perceptron Neural Network.
Description: Amiri, S, et al. An Automated MR Image Segmentation System Using Multi-layer Perceptron Neural Network. ''J Biomed Phys Eng''. 2013 Dec; '''3''' (4):115-22
Updated: Sep 21, 2019
Automated hippocampal segmentation in patients with epilepsy: available free online.
Description: Winston, Gavin P, et al. Automated hippocampal segmentation in patients with epilepsy: available free online. ''Epilepsia''. 2013 Dec; '''54''' (12):2166-73
Updated: Sep 21, 2019
Effect of intrinsic and extrinsic factors on global and regional cortical thickness.
Description: Govindarajan, Koushik A, et al. Effect of intrinsic and extrinsic factors on global and regional cortical thickness. ''PLoS One''. 2014; '''9''' (5):e96429
Updated: Sep 21, 2019
S-HAMMER: hierarchical attribute-guided, symmetric diffeomorphic registration for MR brain images.
Description: Wu, Guorong, et al. S-HAMMER: hierarchical attribute-guided, symmetric diffeomorphic registration for MR brain images. ''Hum Brain Mapp''. 2014 Mar; '''35''' (3):1044-60
Updated: Dec 16, 2017
Brain extraction based on locally linear representation-based classification.
Description: Huang, Meiyan, et al. Brain extraction based on locally linear representation-based classification. ''Neuroimage''. 2014 May 15; '''92''': 322-39
Updated: Dec 16, 2017
Magnetic resonance image tissue classification using an automatic method.
Description: Yazdani, Sepideh, et al. Magnetic resonance image tissue classification using an automatic method. ''Diagn Pathol''. 2014 Dec 24; '''9''': 207
Updated: Sep 21, 2019
Age-specific MRI brain and head templates for healthy adults from 20 through 89 years of age.
Description: Fillmore, Paul T, et al. Age-specific MRI brain and head templates for healthy adults from 20 through 89 years of age. ''Front Aging Neurosci''. 2015; '''7''': 44
Updated: Sep 21, 2019
A Unified Framework for Brain Segmentation in MR Images.
Description: Yazdani, S, et al. A Unified Framework for Brain Segmentation in MR Images. ''Comput Math Methods Med''. 2015; '''2015''': 829893
Updated: Sep 21, 2019
Comparison of 10 brain tissue segmentation methods using revisited IBSR annotations.
Description: Valverde, Sergi, et al. Comparison of 10 brain tissue segmentation methods using revisited IBSR annotations. ''J Magn Reson Imaging''. 2015 Jan; '''41''' (1):93-101
Updated: Dec 16, 2017
MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans.
Description: Mendrik, Adrienne M, et al. MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans. ''Comput Intell Neurosci''. 2015; '''2015''': 813696
Updated: Sep 21, 2019
Rough-fuzzy clustering and unsupervised feature selection for wavelet based MR image segmentation.
Description: Maji, Pradipta, et al. Rough-fuzzy clustering and unsupervised feature selection for wavelet based MR image segmentation. ''PLoS One''. 2015; '''10''' (4):e0123677
Updated: Sep 21, 2019
Alpha shape theory for 3D visualization and volumetric measurement of brain tumor progression using magnetic resonance images.
Description: Hamoud Al-Tamimi, Mohammed Sabbih, et al. Alpha shape theory for 3D visualization and volumetric measurement of brain tumor progression using magnetic resonance images. ''Magn Reson Imaging''. 2015 Jul; '''33''' (6):787-803
Updated: Dec 16, 2017
SEGMA: An Automatic SEGMentation Approach for Human Brain MRI Using Sliding Window and Random Forests.
Description: Serag, Ahmed, et al. SEGMA: An Automatic SEGMentation Approach for Human Brain MRI Using Sliding Window and Random Forests. ''Front Neuroinform''. 2017; '''11''': 2
Updated: Sep 21, 2019
Automatic brain tissue segmentation based on graph filter.
Description: Kong, Youyong, et al. Automatic brain tissue segmentation based on graph filter. ''BMC Med Imaging''. 2018 May 9; '''18''' (1):9
Updated: Sep 21, 2019
Accurate and robust segmentation of neuroanatomy in T1-weighted MRI by combining spatial priors with deep convolutional neural networks.
Description: Novosad, Philip, et al. Accurate and robust segmentation of neuroanatomy in T1-weighted MRI by combining spatial priors with deep convolutional neural networks. ''Hum Brain Mapp''. 2020 Feb 1; '''41''' (2):309-327
Updated: Jul 18, 2020