Predictive modelling of brain disorders with magnetic resonance imaging: A systematic review of modelling practices, transparency, and interpretability in the use of convolutional neural networks

Site effects how-to and when: An overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses

(2022) Johanna M. M. Bayer et al.   Frontiers in Neurology

Hippocampal shape and asymmetry analysis by cascaded convolutional neural networks for Alzheimer’s disease diagnosis

(2021) Aojie Li et al.   Brain Imaging and Behavior

Brain Asymmetry Detection and Machine Learning Classification for Diagnosis of Early Dementia

(2021) Nitsa J. Herzog et al.   SENSORS

Deep Learning-Based Classification and Voxel-Based Visualization of Frontotemporal Dementia and Alzheimer’s Disease

(2021) Jingjing Hu et al.   Frontiers in Neuroscience

Diagnosis of Alzheimer Disease Using 2D MRI Slices by Convolutional Neural Network

(2021) Fanar E. K. Al-Khuzaie et al.   Applied Bionics and Biomechanics

Deep learning based automatic diagnosis of first-episode psychosis, bipolar disorder and healthy controls

(2021) Zhuangzhuang Li et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

A 3D densely connected convolution neural network with connection-wise attention mechanism for Alzheimer's disease classification

(2021) Jie Zhang et al.   MAGNETIC RESONANCE IMAGING

DOME: recommendations for supervised machine learning validation in biology

(2021) Ian Walsh et al.   NATURE METHODS

Identifying Schizophrenia Using Structural MRI With a Deep Learning Algorithm

(2020) Jihoon Oh et al.   Frontiers in Psychiatry

Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification

(2020) Shangran Qiu et al.   BRAIN

Variability in the analysis of a single neuroimaging dataset by many teams

(2020) Rotem Botvinik-Nezer et al.   NATURE

Alzheimer’s disease diagnosis from diffusion tensor images using convolutional neural networks

(2020) Eman N. Marzban et al.   PLoS One

The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions

(2020) Thomas J. Littlejohns et al.   Nature Communications

Early Detection of Alzheimer’s Disease Using Magnetic Resonance Imaging: A Novel Approach Combining Convolutional Neural Networks and Ensemble Learning

(2020) Dan Pan et al.   Frontiers in Neuroscience

Binary Classification of Alzheimer’s Disease Using sMRI Imaging Modality and Deep Learning

(2020) Ahsan Bin Tufail et al.   JOURNAL OF DIGITAL IMAGING

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

(2020) Junhao Wen et al.   MEDICAL IMAGE ANALYSIS

Transparency and reproducibility in artificial intelligence

(2020) Benjamin Haibe-Kains et al.   NATURE

Sociodemographic data and APOE-ε4 augmentation for MRI-based detection of amnestic mild cognitive impairment using deep learning systems

(2020) Obioma Pelka et al.   PLoS One

Ensemble of ROI-based convolutional neural network classifiers for staging the Alzheimer disease spectrum from magnetic resonance imaging

(2020) Samsuddin Ahmed et al.   PLoS One

Transfer learning for predicting conversion from mild cognitive impairment to dementia of Alzheimer's type based on a three-dimensional convolutional neural network

(2020) Jinhyeong Bae et al.   NEUROBIOLOGY OF AGING

Attention-Guided Hybrid Network for Dementia Diagnosis With Structural MR Images

(2020) Chunfeng Lian et al.   IEEE Transactions on Cybernetics

A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease

(2019) Simeon Spasov et al.   NEUROIMAGE

RNN-based longitudinal analysis for diagnosis of Alzheimer’s disease

(2019) Ruoxuan Cui et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

A hybrid Convolutional and Recurrent Neural Network for Hippocampus Analysis in Alzheimer's Disease

(2019) Fan Li et al.   JOURNAL OF NEUROSCIENCE METHODS

Deep learning to differentiate parkinsonian disorders separately using single midsagittal MR imaging: a proof of concept study

(2019) Shigeru Kiryu et al.   EUROPEAN RADIOLOGY

Using Deep CNN with Data Permutation Scheme for Classification of Alzheimer's Disease in Structural Magnetic Resonance Imaging (sMRI)

(2019) Bumshik LEE et al.   IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS

Layer-Wise Relevance Propagation for Explaining Deep Neural Network Decisions in MRI-Based Alzheimer's Disease Classification

(2019) Moritz Böhle et al.   Frontiers in Aging Neuroscience

Three dimensional convolutional neural network-based classification of conduct disorder with structural MRI

(2019) Jianing Zhang et al.   Brain Imaging and Behavior

A Deep Learning approach for Diagnosis of Mild Cognitive Impairment Based on MRI Images

(2019) Gorji et al.   Brain Sciences

Single-slice Alzheimer's disease classification and disease regional analysis with Supervised Switching Autoencoders

(2019) Ricardo Mendoza-Léon et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer’s disease

(2019) Manhua Liu et al.   NEUROIMAGE

Dual-functional neural network for bilateral hippocampi segmentation and diagnosis of Alzheimer’s disease

(2019) Jingwen Sun et al.   International Journal of Computer Assisted Radiology and Surgery

Alzheimer rsquo s disease diagnostics by a 3D deeply supervised adaptable convolutional network

(2018) Mohammed Ghazal   Frontiers in Bioscience-Landmark

Landmark-based deep multi-instance learning for brain disease diagnosis

(2018) Mingxia Liu et al.   MEDICAL IMAGE ANALYSIS

Artificial intelligence faces reproducibility crisis

(2018) Matthew Hutson   SCIENCE

Anatomical Landmark based Deep Feature Representation for MR Images in Brain Disease Diagnosis

(2018) Mingxia Liu et al.   IEEE Journal of Biomedical and Health Informatics

Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks

(2018) Fan Li et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

(2018) Spencer L James et al.   LANCET

Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer’s Disease Prediction From Mild Cognitive Impairment

(2018) Weiming Lin et al.   Frontiers in Neuroscience

Automated classification of Alzheimer's disease and mild cognitive impairment using a single MRI and deep neural networks

(2018) Silvia Basaia et al.   NeuroImage-Clinical

Hippocampus Analysis by Combination of 3-D DenseNet and Shapes for Alzheimer's Disease Diagnosis

(2018) Ruoxuan Cui et al.   IEEE Journal of Biomedical and Health Informatics

Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI

(2018) Chunfeng Lian et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

(2017) Konstantinos Kamnitsas et al.   MEDICAL IMAGE ANALYSIS

Toward standard practices for sharing computer code and programs in neuroscience

(2017) Stephen J Eglen et al.   NATURE NEUROSCIENCE

3D CNN Based Automatic Diagnosis of Attention Deficit Hyperactivity Disorder Using Functional and Structural MRI

(2017) Liang Zou et al.   IEEE Access

Concepts and misconceptions regarding clinical staging models

(2016) Jai Shah et al.   JOURNAL OF PSYCHIATRY & NEUROSCIENCE

Subcortical volumetric abnormalities in bipolar disorder

(2016) D P Hibar et al.   MOLECULAR PSYCHIATRY

Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement

(2015) G. S. Collins et al.   CIRCULATION

Biomarkers in DSM-5: Lost in translation

(2013) Bernard J Carroll   AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY

Within-subject template estimation for unbiased longitudinal image analysis

(2012) Martin Reuter et al.   NEUROIMAGE

Volume reduction in subcortical regions according to severity of Alzheimer’s disease

(2011) Jee Hoon Roh et al.   JOURNAL OF NEUROLOGY

FSL

(2011) Mark Jenkinson et al.   NEUROIMAGE

Diagnosis and Treatment of Neuropsychiatric Disorders

(2010) Katherine H. Taber et al.   Annual Review of Medicine

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

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