Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes

Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning

(2020) Ganesh B Chand et al.   BRAIN

The Dementias Platform UK (DPUK) Data Portal

(2020) Sarah Bauermeister et al.   EUROPEAN JOURNAL OF EPIDEMIOLOGY

MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide

(2020) Vishnu M Bashyam et al.   BRAIN

Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation

(2020) Junhao Wen et al.   MEDICAL IMAGE ANALYSIS

Identificacion of MRI-based psychosis subtypes: Replication and refinement

(2020) Álvaro Planchuelo-Gómez et al.   PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY

Inferring disease subtypes from clusters in explanation space

(2020) Marc-Andre Schulz et al.   Scientific Reports

Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets

(2020) Marc-Andre Schulz et al.   Nature Communications

Detecting biological heterogeneity patterns in ADNI amnestic mild cognitive impairment based on volumetric MRI

(2019) Ali Ezzati et al.   Brain Imaging and Behavior

Estimating the number of clusters using cross-validation

(2019) Wei Fu et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

The neuropathological diagnosis of Alzheimer’s disease

(2019) Michael A. DeTure et al.   Molecular Neurodegeneration

Topographical Heterogeneity of Alzheimer’s Disease Based on MR Imaging, Tau PET, and Amyloid PET

(2019) Seun Jeon et al.   Frontiers in Aging Neuroscience

Morphological Profiling of Schizophrenia: Cluster Analysis of MRI-Based Cortical Thickness Data

(2019) Yunzhi Pan et al.   SCHIZOPHRENIA BULLETIN

Heterogeneous patterns of brain atrophy in Alzheimer's disease

(2018) Konstantinos Poulakis et al.   NEUROBIOLOGY OF AGING

MIDAS: Regionally linear multivariate discriminative statistical mapping

(2018) Erdem Varol et al.   NEUROIMAGE

Brain Subtyping Enhances The Neuroanatomical Discrimination of Schizophrenia

(2018) Dominic B Dwyer et al.   SCHIZOPHRENIA BULLETIN

Inferring multi-scale neural mechanisms with brain network modelling

(2018) Michael Schirner et al.   eLife

OUP accepted manuscript

(2018)   BRAIN

Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data

(2018) Jorge Samper-González et al.   NEUROIMAGE

Machine learning in neuroimaging: Progress and challenges

(2018) Christos Davatzikos   NEUROIMAGE

Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

(2018) Alexandra L Young et al.   Nature Communications

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

(2017) Konstantinos Kamnitsas et al.   MEDICAL IMAGE ANALYSIS

Points of Significance: Clustering

(2017) Naomi Altman et al.   NATURE METHODS

HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework

(2017) Erdem Varol et al.   NEUROIMAGE

A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages

(2017) Saima Rathore et al.   NEUROIMAGE

fMRI clustering and false-positive rates

(2017) Robert W. Cox et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Multisite Machine Learning Analysis Provides a Robust Structural Imaging Signature of Schizophrenia Detectable Across Diverse Patient Populations and Within Individuals

(2017) Martin Rozycki et al.   SCHIZOPHRENIA BULLETIN

Neuroanatomical heterogeneity of schizophrenia revealed by semi-supervised machine learning methods

(2017) Nicolas Honnorat et al.   SCHIZOPHRENIA RESEARCH

Heterogeneity and Homogeneity of Regional Brain Structure in Schizophrenia

(2017) Stefan P. Brugger et al.   JAMA Psychiatry

Robust Identification of Alzheimer’s Disease subtypes based on cortical atrophy patterns

(2017) Jong-Yun Park et al.   Scientific Reports

Heterogeneity of neuroanatomical patterns in prodromal Alzheimer’s disease: links to cognition, progression and biomarkers

(2016) Aoyan Dong et al.   BRAIN

CHIMERA: Clustering of Heterogeneous Disease Effects via Distribution Matching of Imaging Patterns

(2016) Aoyan Dong et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Prediction of Alzheimer’s Disease in Amnestic Mild Cognitive Impairment Subtypes: Stratification Based on Imaging Biomarkers

(2016) Kenichi Ota et al.   JOURNAL OF ALZHEIMERS DISEASE

Abnormal asymmetries in subcortical brain volume in schizophrenia

(2016) N Okada et al.   MOLECULAR PSYCHIATRY

Multimodal population brain imaging in the UK Biobank prospective epidemiological study

(2016) Karla L Miller et al.   NATURE NEUROSCIENCE

Classifying anatomical subtypes of subjective memory impairment

(2016) Na-Yeon Jung et al.   NEUROBIOLOGY OF AGING

Multi-scale features extraction from baseline structure MRI for MCI patient classification and AD early diagnosis

(2016) Kun Hu et al.   NEUROCOMPUTING

MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection

(2016) Jimit Doshi et al.   NEUROIMAGE

A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers

(2016) Clifford R. Jack et al.   NEUROLOGY

Schizophrenia Patients Demonstrate Both Inter-Voxel Level and Intra-Voxel Level White Matter Alterations

(2016) Chuanjun Zhuo et al.   PLoS One

Bayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer’s disease

(2016) Xiuming Zhang et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Identification of two clusters within schizophrenia with different structural, functional and clinical characteristics

(2016) Alba Lubeiro et al.   PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY

Distinct Patterns of Cerebral Cortical Thinning in Schizophrenia: A Neuroimaging Data-Driven Approach

(2016) Genichi Sugihara et al.   SCHIZOPHRENIA BULLETIN

Neural substrates underlying delusions in schizophrenia

(2016) Jiajia Zhu et al.   Scientific Reports

Advanced brain aging: relationship with epidemiologic and genetic risk factors and overlap with Alzheimer disease atrophy patterns

(2016) M Habes et al.   Translational Psychiatry

Brain Structural Abnormalities in a Group of Never-Medicated Patients With Long-Term Schizophrenia

(2015) Wenjing Zhang et al.   AMERICAN JOURNAL OF PSYCHIATRY

Individualized differential diagnosis of schizophrenia and mood disorders using neuroanatomical biomarkers

(2015) Nikolaos Koutsouleris et al.   BRAIN

Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium

(2015) T G M van Erp et al.   MOLECULAR PSYCHIATRY

Finding imaging patterns of structural covariance via Non-Negative Matrix Factorization

(2015) Aristeidis Sotiras et al.   NEUROIMAGE

Brain disorders? Precisely

(2015) T. R. Insel et al.   SCIENCE

Biological heterogeneity in ADNI amnestic mild cognitive impairment

(2014) Jasmine Nettiksimmons et al.   Alzheimers & Dementia

Anatomical heterogeneity of Alzheimer disease: Based on cortical thickness on MRIs

(2014) Y. Noh et al.   NEUROLOGY

Heterogeneity of Structural Brain Changes in Subtypes of Schizophrenia Revealed Using Magnetic Resonance Imaging Pattern Analysis

(2014) T. Zhang et al.   SCHIZOPHRENIA BULLETIN

Amotivation in Schizophrenia: Integrated Assessment With Behavioral, Clinical, and Imaging Measures

(2014) Daniel H. Wolf et al.   SCHIZOPHRENIA BULLETIN

Analytic estimation of statistical significance maps for support vector machine based multi-variate image analysis and classification

(2013) Bilwaj Gaonkar et al.   NEUROIMAGE

Analysis of sampling techniques for imbalanced data: An n=648 ADNI study

(2013) Rashmi Dubey et al.   NEUROIMAGE

Can structural MRI aid in clinical classification? A machine learning study in two independent samples of patients with schizophrenia, bipolar disorder and healthy subjects

(2013) Hugo G. Schnack et al.   NEUROIMAGE

JointMMCC: Joint Maximum-Margin Classification and Clustering of Imaging Data

(2012) Roman Filipovych et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Neuropathologically defined subtypes of Alzheimer's disease with distinct clinical characteristics: a retrospective study

(2011) Melissa E Murray et al.   LANCET NEUROLOGY

Effects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier

(2011) Ahmed Abdulkadir et al.   NEUROIMAGE

Choosing the number of clusters

(2011) Boris Mirkin   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Association of Enhanced Limbic Response to Threat With Decreased Cortical Facial Recognition Memory Response in Schizophrenia

(2010) Theodore D. Satterthwaite et al.   AMERICAN JOURNAL OF PSYCHIATRY

N4ITK: Improved N3 Bias Correction

(2010) Nicholas J Tustison et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Linear and Nonlinear Projective Nonnegative Matrix Factorization

(2010) Zhirong Yang et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting

(2010) Yangming Ou et al.   MEDICAL IMAGE ANALYSIS

Neuropathology of Alzheimer's Disease

(2010) Daniel P. Perl   MOUNT SINAI JOURNAL OF MEDICINE

Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: Exploring the influence of various parameters

(2010) Katja Franke et al.   NEUROIMAGE

Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database

(2010) Rémi Cuingnet et al.   NEUROIMAGE

Investigating the predictive value of whole-brain structural MR scans in autism: A pattern classification approach

(2009) Christine Ecker et al.   NEUROIMAGE

Alzheimer's Disease Neuroimaging Initiative (ADNI): Clinical characterization

(2009) R. C. Petersen et al.   NEUROLOGY