Deep Learning with Neuroimaging and Genomics in Alzheimer’s Disease

Brain activity of benzoate, a D-amino acid oxidase inhibitor, in patients with mild cognitive impairment in a randomized, double-blind, placebo controlled clinical trial

(2021) Hsien-Yuan Lane et al.   INTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY

Prediction of Alzheimer’s disease-specific phospholipase c gamma-1 SNV by deep learning-based approach for high-throughput screening

(2021) Sung-Hyun Kim et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A Correlation Analysis between SNPs and ROIs of Alzheimer’s Disease Based on Deep Learning

(2021) Juan Zhou et al.   Biomed Research International

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

(2021) S. Kevin Zhou et al.   PROCEEDINGS OF THE IEEE

Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM

(2021) Parvathaneni Naga Srinivasu et al.   SENSORS

An Overview of Deep Learning Algorithms and Their Applications in Neuropsychiatry

(2021) Gokhan Guney et al.   Clinical Psychopharmacology and Neuroscience

Prediction of Probable Major Depressive Disorder in the Taiwan Biobank: An Integrated Machine Learning and Genome-Wide Analysis Approach

(2021) Eugene Lin et al.   Journal of Personalized Medicine

A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis

(2020) Eugene Lin et al.   BMC BIOINFORMATICS

Precision Psychiatry Applications with Pharmacogenomics: Artificial Intelligence and Machine Learning Approaches

(2020) Eugene Lin et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Interpretation of risk loci from genome-wide association studies of Alzheimer's disease

(2020) Shea J Andrews et al.   LANCET NEUROLOGY

Prediction of Alzheimer’s disease using blood gene expression data

(2020) Taesic Lee et al.   Scientific Reports

Machine Learning Techniques for the Diagnosis of Alzheimer’s Disease

(2020) M. Tanveer et al.   ACM Transactions on Multimedia Computing Communications and Applications

Neuroimaging Biomarkers for Predicting Treatment Response and Recurrence of Major Depressive Disorder

(2020) Seung-Gul Kang et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Generative Adversarial Networks and Its Applications in Biomedical Informatics

(2020) Lan Lan et al.   Frontiers in Public Health

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

(2020) Junhao Wen et al.   MEDICAL IMAGE ANALYSIS

Relevant Applications of Generative Adversarial Networks in Drug Design and Discovery: Molecular De Novo Design, Dimensionality Reduction, and De Novo Peptide and Protein Design

(2020) Eugene Lin et al.   MOLECULES

A practical application of generative adversarial networks for RNA-seq analysis to predict the molecular progress of Alzheimer's disease

(2020) Jinhee Park et al.   PLoS Computational Biology

An Ensemble Approach to Predict Schizophrenia Using Protein Data in the N-methyl-D-Aspartate Receptor (NMDAR) and Tryptophan Catabolic Pathways

(2020) Eugene Lin et al.   Frontiers in Bioengineering and Biotechnology

Prediction of Antidepressant Treatment Response and Remission Using an Ensemble Machine Learning Framework

(2020) Eugene Lin et al.   Pharmaceuticals

Predicting Splicing from Primary Sequence with Deep Learning

(2019) Kishore Jaganathan et al.   CELL

Deep learning: new computational modelling techniques for genomics

(2019) Gökcen Eraslan et al.   NATURE REVIEWS GENETICS

Integration of Machine Learning Methods to Dissect Genetically Imputed Transcriptomic Profiles in Alzheimer’s Disease

(2019) Carlo Maj et al.   Frontiers in Genetics

Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers

(2019) Jonathan Janke et al.   EXPERT SYSTEMS WITH APPLICATIONS

Latent Representation Learning for Alzheimer’s Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data

(2019) Tao Zhou et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Object Detection With Deep Learning: A Review

(2019) Zhong-Qiu Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

Applications of Generative Adversarial Networks (GANs): An Updated Review

(2019) Hamed Alqahtani et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Prediction of Alzheimer's disease based on deep neural network by integrating gene expression and DNA methylation dataset

(2019) Chihyun Park et al.   EXPERT SYSTEMS WITH APPLICATIONS

Diagnosis and monitoring of Alzheimer's patients using classical and deep learning techniques

(2019) M. Raza et al.   EXPERT SYSTEMS WITH APPLICATIONS

Brain Imaging Genomics: Integrated Analysis and Machine Learning

(2019) Li Shen et al.   PROCEEDINGS OF THE IEEE

Genome-wide association study of Alzheimer's disease endophenotypes at prediagnosis stages

(2018) Jaeyoon Chung et al.   Alzheimers & Dementia

NiftyNet: a deep-learning platform for medical imaging

(2018) Eli Gibson et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Machine Learning for Neurodegenerative Disorder Diagnosis — Survey of Practices and Launch of Benchmark Dataset

(2018) Athanasios Tagaris et al.   International Journal on Artificial Intelligence Tools

Neuroimaging biomarkers as predictors of treatment outcome in Major Depressive Disorder

(2018) Trehani M. Fonseka et al.   JOURNAL OF AFFECTIVE DISORDERS

Combination of rs-fMRI and sMRI Data to Discriminate Autism Spectrum Disorders in Young Children Using Deep Belief Network

(2018) Maryam Akhavan Aghdam et al.   JOURNAL OF DIGITAL IMAGING

Opportunities and obstacles for deep learning in biology and medicine

(2018) Travers Ching et al.   Journal of the Royal Society Interface

Classifying Alzheimer's disease with brain imaging and genetic data using a neural network framework

(2018) Kaida Ning et al.   NEUROBIOLOGY OF AGING

Imaging genetics paradigms in depression research: Systematic review and meta-analysis

(2018) Lícia P. Pereira et al.   PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY

Large-scale comparison of machine learning methods for drug target prediction on ChEMBL

(2018) Andreas Mayr et al.   Chemical Science

MoleculeNet: a benchmark for molecular machine learning

(2018) Zhenqin Wu et al.   Chemical Science

Deep Learning for Computer Vision: A Brief Review

(2018) Athanasios Voulodimos et al.   Computational Intelligence and Neuroscience

A Deep Learning Approach for Predicting Antidepressant Response in Major Depression Using Clinical and Genetic Biomarkers

(2018) Eugene Lin et al.   Frontiers in Psychiatry

Deep Learning—A Technology With the Potential to Transform Health Care

(2018) Geoffrey Hinton   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Deep Learning in Drug Discovery and Medicine; Scratching the Surface

(2018) Dibyendu Dana et al.   MOLECULES

Understanding disease progression and improving Alzheimer's disease clinical trials: Recent highlights from the Alzheimer's Disease Neuroimaging Initiative

(2018) Dallas P. Veitch et al.   Alzheimers & Dementia

Effective feature learning and fusion of multimodality data using stage-wise deep neural network for dementia diagnosis

(2018) Tao Zhou et al.   HUMAN BRAIN MAPPING

Medical Image Analysis using Convolutional Neural Networks: A Review

(2018) Syed Muhammad Anwar et al.   JOURNAL OF MEDICAL SYSTEMS

A primer on deep learning in genomics

(2018) James Zou et al.   NATURE GENETICS

Combination of G72 Genetic Variation and G72 Protein Level to Detect Schizophrenia: Machine Learning Approaches

(2018) Eugene Lin et al.   Frontiers in Psychiatry

Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning

(2017) Ronghui Ju et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Forebrain-specific ablation of phospholipase Cγ1 causes manic-like behavior

(2017) Y R Yang et al.   MOLECULAR PSYCHIATRY

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

(2017) Waseem Rawat et al.   NEURAL COMPUTATION

ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics

(2017) Jiangming Sun et al.   Journal of Cheminformatics

Neuroimaging genomics in psychiatry—a translational approach

(2017) Mary S. Mufford et al.   Genome Medicine

Amyloid-β as a Modulator of Synaptic Plasticity

(2017) Mordhwaj S. Parihar et al.   JOURNAL OF ALZHEIMERS DISEASE

Deep learning for visual understanding: A review

(2016) Yanming Guo et al.   NEUROCOMPUTING

The Worldwide Alzheimer's Disease Neuroimaging Initiative: An update

(2015) James A. Hendrix et al.   Alzheimers & Dementia

Deep Learning in Drug Discovery

(2015) Erik Gawehn et al.   Molecular Informatics

Deep learning

(2015) Yann LeCun et al.   NATURE

Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation

(2015) Tzu-Tsung Wong   PATTERN RECOGNITION

A review on Alzheimer's disease pathophysiology and its management: an update

(2015) Anil Kumar et al.   Pharmacological Reports

Predicting Alzheimer disease with β-amyloid imaging: Results from the Australian imaging, biomarkers, and lifestyle study of ageing

(2014) Christopher C. Rowe et al.   ANNALS OF NEUROLOGY

The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

(2014) Paul M. Thompson et al.   Brain Imaging and Behavior

A community effort to assess and improve drug sensitivity prediction algorithms

(2014) James C Costello et al.   NATURE BIOTECHNOLOGY

Whole-genome analyses of whole-brain data: working within an expanded search space

(2014) Sarah E Medland et al.   NATURE NEUROSCIENCE

A sparse-response deep belief network based on rate distortion theory

(2014) Nan-Nan Ji et al.   PATTERN RECOGNITION

Use of magnetic resonance imaging in pharmacogenomics

(2013) Roberto Viviani et al.   BRITISH JOURNAL OF CLINICAL PHARMACOLOGY

Directory of Useful Decoys, Enhanced (DUD-E): Better Ligands and Decoys for Better Benchmarking

(2012) Michael M. Mysinger et al.   JOURNAL OF MEDICINAL CHEMISTRY

Bilinear Modeling via Augmented Lagrange Multipliers (BALM)

(2011) A. Del Bue et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Japanese Alzheimer's Disease Neuroimaging Initiative: Present status and future

(2010) Takeshi Iwatsubo   Alzheimers & Dementia

Imaging genetics: implications for research on variable antidepressant drug response

(2010) Ulrich Rabl et al.   Expert Review of Clinical Pharmacology

A comparison of classification methods for predicting Chronic Fatigue Syndrome based on genetic data

(2009) Lung-Cheng Huang et al.   Journal of Translational Medicine

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

(2009) David Moher et al.   PLOS MEDICINE