标题
Modern views of machine learning for precision psychiatry
作者
关键词
-
出版物
Patterns
Volume 3, Issue 11, Pages 100602
出版商
Elsevier BV
发表日期
2022-11-12
DOI
10.1016/j.patter.2022.100602
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Natural language processing in psychiatry: the promises and perils of a transformative approach
- (2022) Neguine Rezaii et al. BRITISH JOURNAL OF PSYCHIATRY
- AI in health and medicine
- (2022) Pranav Rajpurkar et al. NATURE MEDICINE
- Association of Neuroimaging Data with Behavioral Variables: A Class of Multivariate Methods and Their Comparison Using Multi-Task FMRI Data
- (2022) M. A. B. S. Akhonda et al. SENSORS
- 7T ultra-high-field neuroimaging for mental health: an emerging tool for precision psychiatry?
- (2022) Irene Neuner et al. Translational Psychiatry
- Consumer Willingness to Share Personal Digital Information for Health-Related Uses
- (2022) David Grande et al. JAMA Network Open
- Acoustic and Facial Features From Clinical Interviews for Machine Learning–Based Psychiatric Diagnosis: Algorithm Development
- (2022) Michael L Birnbaum et al. JMIR Mental Health
- A latent trajectory analysis of inpatient depression treatment.
- (2022) Pål Ulvenes et al. PSYCHOTHERAPY
- The normative modeling framework for computational psychiatry
- (2022) Saige Rutherford et al. Nature Protocols
- A semi-supervised autoencoder for autism disease diagnosis
- (2022) Wutao Yin et al. NEUROCOMPUTING
- Contrastive machine learning reveals the structure of neuroanatomical variation within autism
- (2022) Aidas Aglinskas et al. SCIENCE
- Natural language analyzed with AI-based transformers predict traditional subjective well-being measures approaching the theoretical upper limits in accuracy
- (2022) Oscar N. E. Kjell et al. Scientific Reports
- Breaking the boundaries of interacting with the human brain using adaptive closed-loop stimulation
- (2022) Khaled Nasr et al. PROGRESS IN NEUROBIOLOGY
- Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing
- (2021) Prerna Chikersal et al. ACM Transactions on Computer-Human Interaction
- Causal Inferences in Repetitive Transcranial Magnetic Stimulation Research: Challenges and Perspectives
- (2021) Justyna Hobot et al. Frontiers in Human Neuroscience
- Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
- (2021) Anees Abrol et al. Nature Communications
- Brain dynamics: the temporal variability of connectivity, and differences in schizophrenia and ADHD
- (2021) Edmund T. Rolls et al. Translational Psychiatry
- Fear-induced brain activations distinguish anxious and trauma-exposed brains
- (2021) Zhenfu Wen et al. Translational Psychiatry
- Probing the clinical and brain structural boundaries of bipolar and major depressive disorder
- (2021) Tao Yang et al. Translational Psychiatry
- Individuals with depression express more distorted thinking on social media
- (2021) Krishna C. Bathina et al. Nature Human Behaviour
- A Therapeutic Relational Agent for Reducing Problematic Substance Use (Woebot): Development and Usability Study
- (2021) Judith J Prochaska et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Deep learning for robust detection of interictal epileptiform discharges
- (2021) David Geng et al. Journal of Neural Engineering
- 20 years of precision medicine in oncology
- (2021) The Lancet LANCET
- Improving scalability in systems neuroscience
- (2021) Zhe Sage Chen et al. NEURON
- Neural correlates of emotional processing in psychosis risk and onset – A systematic review and meta-analysis of fMRI studies
- (2021) P.B. Lukow et al. NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
- The Economic Burden of Adults with Major Depressive Disorder in the United States (2010 and 2018)
- (2021) Paul E. Greenberg et al. PHARMACOECONOMICS
- ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data
- (2021) Fahad Almuqhim et al. Frontiers in Computational Neuroscience
- Transdiagnostic dimensions of psychopathology explain individuals’ unique deviations from normative neurodevelopment in brain structure
- (2021) Linden Parkes et al. Translational Psychiatry
- Evaluating the Machine Learning Literature: A Primer and User’s Guide for Psychiatrists
- (2021) Adrienne Grzenda et al. AMERICAN JOURNAL OF PSYCHIATRY
- Integrated analysis of multimodal single-cell data
- (2021) Yuhan Hao et al. CELL
- Taming the chaos?! Using eXplainable Artificial Intelligence (XAI) to tackle the complexity in mental health research
- (2021) Veit Roessner et al. EUROPEAN CHILD & ADOLESCENT PSYCHIATRY
- Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI
- (2021) Andreas Holzinger et al. Information Fusion
- The Transition of Academic Mental Health Clinics to Telehealth During the COVID-19 Pandemic
- (2021) Johanna B. Folk et al. JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY
- BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis
- (2021) Xiaoxiao Li et al. MEDICAL IMAGE ANALYSIS
- Deep learning model of fMRI connectivity predicts PTSD symptom trajectories in recent trauma survivors
- (2021) Shelly Sheynin et al. NEUROIMAGE
- Identification of transdiagnostic psychiatric disorder subtypes using unsupervised learning
- (2021) Helena Pelin et al. NEUROPSYCHOPHARMACOLOGY
- Multi-Modal Adaptive Fusion Transformer Network for the Estimation of Depression Level
- (2021) Hao Sun et al. SENSORS
- The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality
- (2021) John Torous et al. World Psychiatry
- Vocal features obtained through automated methods in verbal fluency tasks can aid the identification of mixed episodes in bipolar disorder
- (2021) Luisa Weiner et al. Translational Psychiatry
- Multimodal MR Images-Based Diagnosis of Early Adolescent Attention-Deficit/Hyperactivity Disorder Using Multiple Kernel Learning
- (2021) Xiaocheng Zhou et al. Frontiers in Neuroscience
- Utilizing Instagram Data to Identify Usage Patterns Associated With Schizophrenia Spectrum Disorders
- (2021) Katrin Hänsel et al. Frontiers in Psychiatry
- Synthetic data in machine learning for medicine and healthcare
- (2021) Richard J. Chen et al. Nature Biomedical Engineering
- More than a biomarker: could language be a biosocial marker of psychosis?
- (2021) Lena Palaniyappan npj Schizophrenia
- Considering the possibilities and pitfalls of Generative Pre-trained Transformer 3 (GPT-3) in healthcare delivery
- (2021) Diane M. Korngiebel et al. npj Digital Medicine
- Latent trajectories of anxiety and depressive symptoms among adults in early treatment for nonmedical opioid use
- (2021) Jennifer D. Ellis et al. JOURNAL OF AFFECTIVE DISORDERS
- Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review
- (2021) Jean P M Mendes et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics
- (2021) Mansu Kim et al. MEDICAL IMAGE ANALYSIS
- A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD
- (2021) Kanhao Zhao et al. NEUROIMAGE
- Sequential fusion of facial appearance and dynamics for depression recognition
- (2021) Qian Chen et al. PATTERN RECOGNITION LETTERS
- Automated quality assessment of cognitive behavioral therapy sessions through highly contextualized language representations
- (2021) Nikolaos Flemotomos et al. PLoS One
- Natural Language Processing markers in first episode psychosis and people at clinical high-risk
- (2021) Sarah E. Morgan et al. Translational Psychiatry
- Neural contributors to trauma resilience: a review of longitudinal neuroimaging studies
- (2021) Alyssa R. Roeckner et al. Translational Psychiatry
- Multidimensional predictors of antidepressant responses: Integrating mitochondrial, genetic, metabolic and environmental factors with clinical outcomes
- (2021) Carla Nasca et al. Neurobiology of Stress
- Automatic Assessment of Emotion Dysregulation in American, French, and Tunisian Adults and New Developments in Deep Multimodal Fusion: Cross-sectional Study
- (2021) Federico Parra et al. JMIR Mental Health
- Language, Speech, and Facial Expression Features for Artificial Intelligence–Based Detection of Cancer Survivors’ Depression: Scoping Meta-Review
- (2021) Urška Smrke et al. JMIR Mental Health
- Predicting longitudinal service use for individuals with substance use disorders: A latent profile analysis
- (2021) Erika L. Crable et al. JOURNAL OF SUBSTANCE ABUSE TREATMENT
- Deep learning for depression recognition with audiovisual cues: A review
- (2021) Lang He et al. Information Fusion
- Multivariate classification of earthquake survivors with post‐traumatic stress disorder based on large‐scale brain networks
- (2020) H. Zhu et al. ACTA PSYCHIATRICA SCANDINAVICA
- Identification of Common Neural Circuit Disruptions in Emotional Processing Across Psychiatric Disorders
- (2020) Lisa M. McTeague et al. AMERICAN JOURNAL OF PSYCHIATRY
- Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises
- (2020) Jing Sui et al. BIOLOGICAL PSYCHIATRY
- An electroencephalographic signature predicts antidepressant response in major depression
- (2020) Wei Wu et al. NATURE BIOTECHNOLOGY
- Expert-augmented machine learning
- (2020) Efstathios D. Gennatas et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- A multimodal neuroimaging classifier for alcohol dependence
- (2020) Matthias Guggenmos et al. Scientific Reports
- Multimodal Neuroimaging-based Prediction of Adult Outcomes in Childhood-onset ADHD using Ensemble Learning Techniques
- (2020) Yuyang Luo et al. NeuroImage-Clinical
- Multimodal Fusion Signature as Transdiagnostic Psychiatric Biomarker
- (2020) Vince Calhoun et al. BIOLOGICAL PSYCHIATRY
- Predicting differential diagnosis between bipolar and unipolar depression with multiple kernel learning on multimodal structural neuroimaging
- (2020) Benedetta Vai et al. EUROPEAN NEUROPSYCHOPHARMACOLOGY
- Single-nucleus transcriptomics of the prefrontal cortex in major depressive disorder implicates oligodendrocyte precursor cells and excitatory neurons
- (2020) Corina Nagy et al. NATURE NEUROSCIENCE
- Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness
- (2020) Sebastian Vollmer et al. BMJ-British Medical Journal
- Generative Adversarial Networks and Its Applications in Biomedical Informatics
- (2020) Lan Lan et al. Frontiers in Public Health
- Machine Learning in Mental Health: A Systematic Review of the HCI Literature to Support Effective ML System Design
- (2020) Anja Thieme et al. ACM Transactions on Computer-Human Interaction
- Parsing Psychiatric Heterogeneity Through Common and Unique Circuit-Level Deficits
- (2020) Theodore D. Satterthwaite et al. BIOLOGICAL PSYCHIATRY
- Major Depressive Disorder Classification Based on Different Convolutional Neural Network Models: Deep Learning Approach
- (2020) Caglar Uyulan et al. CLINICAL EEG AND NEUROSCIENCE
- Automatic Detection of Depression in Speech Using Ensemble Convolutional Neural Networks
- (2020) Adrián Vázquez-Romero et al. Entropy
- Predicting hospital readmission in patients with mental or substance use disorders: A machine learning approach
- (2020) Didier Morel et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Data Augmentation for Deep-Learning-Based Electroencephalography
- (2020) Elnaz Lashgari et al. JOURNAL OF NEUROSCIENCE METHODS
- Functional network connectivity (FNC)-based generative adversarial network (GAN) and its applications in classification of mental disorders
- (2020) Jianlong Zhao et al. JOURNAL OF NEUROSCIENCE METHODS
- Pre-deployment risk factors for PTSD in active-duty personnel deployed to Afghanistan: a machine-learning approach for analyzing multivariate predictors
- (2020) Katharina Schultebraucks et al. MOLECULAR PSYCHIATRY
- Insulin receptor substrate in brain-enriched exosomes in subjects with major depression: on the path of creation of biosignatures of central insulin resistance
- (2020) Carla Nasca et al. MOLECULAR PSYCHIATRY
- Machine learning for genetic prediction of psychiatric disorders: a systematic review
- (2020) Matthew Bracher-Smith et al. MOLECULAR PSYCHIATRY
- A validated predictive algorithm of post-traumatic stress course following emergency department admission after a traumatic stressor
- (2020) Katharina Schultebraucks et al. NATURE MEDICINE
- Deep learning for small and big data in psychiatry
- (2020) Georgia Koppe et al. NEUROPSYCHOPHARMACOLOGY
- A deep learning model for detecting mental illness from user content on social media
- (2020) Jina Kim et al. Scientific Reports
- Systematic Review of Digital Phenotyping and Machine Learning in Psychosis Spectrum Illnesses
- (2020) James Benoit et al. HARVARD REVIEW OF PSYCHIATRY
- Artificial Intelligence and the Future of Psychiatry
- (2020) Summer Allen IEEE Pulse
- Deep learning in mental health outcome research: a scoping review
- (2020) Chang Su et al. Translational Psychiatry
- A systematic review and narrative synthesis of data-driven studies in schizophrenia symptoms and cognitive deficits
- (2020) Tesfa Dejenie Habtewold et al. Translational Psychiatry
- Mental Health, Substance Use, and Suicidal Ideation During the COVID-19 Pandemic — United States, June 24–30, 2020
- (2020) Mark É. Czeisler et al. MMWR-MORBIDITY AND MORTALITY WEEKLY REPORT
- Computational Analysis of Multidimensional Behavioral Alterations After Chronic Social Defeat Stress
- (2020) Zachary S. Lorsch et al. BIOLOGICAL PSYCHIATRY
- Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation
- (2020) Jun. Wang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Identifying and validating subtypes within major psychiatric disorders based on frontal–posterior functional imbalance via deep learning
- (2020) Miao Chang et al. MOLECULAR PSYCHIATRY
- Applied natural language processing in mental health big data
- (2020) Robert Stewart et al. NEUROPSYCHOPHARMACOLOGY
- Relations between large-scale brain connectivity and effects of regional stimulation depend on collective dynamical state
- (2020) Lia Papadopoulos et al. PLoS Computational Biology
- Computer vision in autism spectrum disorder research: a systematic review of published studies from 2009 to 2019
- (2020) Ryan Anthony J. de Belen et al. Translational Psychiatry
- A Survey on Deep Learning for Neuroimaging-Based Brain Disorder Analysis
- (2020) Li Zhang et al. Frontiers in Neuroscience
- Identification of psychiatric disorder subtypes from functional connectivity patterns in resting-state electroencephalography
- (2020) Yu Zhang et al. Nature Biomedical Engineering
- Utilizing Machine Learning on Internet Search Activity to Support the Diagnostic Process and Relapse Detection in Young Individuals With Early Psychosis: Feasibility Study
- (2020) Michael Leo Birnbaum et al. JMIR Mental Health
- Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation
- (2020) Yu-Dong Zhang et al. Information Fusion
- Predicting PTSD severity using longitudinal magnetoencephalography with a multi-step learning framework
- (2020) Jing Zhang et al. Journal of Neural Engineering
- Training confounder-free deep learning models for medical applications
- (2020) Qingyu Zhao et al. Nature Communications
- Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression
- (2020) Nikolaos Koutsouleris et al. JAMA Psychiatry
- Identifying signals associated with psychiatric illness utilizing language and images posted to Facebook
- (2020) Michael L. Birnbaum et al. npj Schizophrenia
- Machine Learning and Natural Language Processing in Mental Health: Systematic Review
- (2020) Aziliz Le Glaz et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- The crossroads of digital phenotyping
- (2020) Brittany I. Davidson GENERAL HOSPITAL PSYCHIATRY
- Deep Learning on Graphs: A Survey
- (2020) Ziwei Zhang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Single-cell RNA-seq denoising using a deep count autoencoder
- (2019) Gökcen Eraslan et al. Nature Communications
- Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution
- (2019) Samuel G. Rodriques et al. SCIENCE
- Machine learning in mental health: a scoping review of methods and applications
- (2019) Adrian B. R. Shatte et al. PSYCHOLOGICAL MEDICINE
- Integrative single-cell analysis
- (2019) Tim Stuart et al. NATURE REVIEWS GENETICS
- Deep neural networks in psychiatry
- (2019) Daniel Durstewitz et al. MOLECULAR PSYCHIATRY
- Machine learning and big data in psychiatry: toward clinical applications
- (2019) Robb B Rutledge et al. CURRENT OPINION IN NEUROBIOLOGY
- Speech‐based markers for posttraumatic stress disorder in US veterans
- (2019) Charles R. Marmar et al. DEPRESSION AND ANXIETY
- The critical importance of basic animal research for neuropsychiatric disorders
- (2019) Tracy L. Bale et al. NEUROPSYCHOPHARMACOLOGY
- Non-verbal speech cues as objective measures for negative symptoms in patients with schizophrenia
- (2019) Yasir Tahir et al. PLoS One
- Review of Machine Learning Algorithms for Diagnosing Mental Illness
- (2019) Gyeongcheol Cho et al. Psychiatry Investigation
- High-Risk Phenotypes of Early Psychiatric Readmission in Bipolar Disorder with Comorbid Medical Illness
- (2019) Juliet Edgcomb et al. PSYCHOSOMATICS
- The Heterogeneity Problem: Approaches to Identify Psychiatric Subtypes
- (2019) Eric Feczko et al. TRENDS IN COGNITIVE SCIENCES
- Unraveling Diagnostic Biomarkers of Schizophrenia Through Structure-Revealing Fusion of Multi-Modal Neuroimaging Data
- (2019) Evrim Acar et al. Frontiers in Neuroscience
- A Reckoning and Research Agenda for Neuroimaging in Psychiatry
- (2019) Amit Etkin AMERICAN JOURNAL OF PSYCHIATRY
- Bending the Curve for Mental Health: Technology for a Public Health Approach
- (2019) Thomas R. Insel AMERICAN JOURNAL OF PUBLIC HEALTH
- Somatosensory-Motor Dysconnectivity Spans Multiple Transdiagnostic Dimensions of Psychopathology
- (2019) Valeria Kebets et al. BIOLOGICAL PSYCHIATRY
- Multidimensional Predictors of Susceptibility and Resilience to Social Defeat Stress
- (2019) Carla Nasca et al. BIOLOGICAL PSYCHIATRY
- Use of machine learning in predicting clinical response to transcranial magnetic stimulation in comorbid posttraumatic stress disorder and major depression: A resting state electroencephalography study
- (2019) Amin Zandvakili et al. JOURNAL OF AFFECTIVE DISORDERS
- Conceptualizing mental disorders as deviations from normative functioning
- (2019) Andre F. Marquand et al. MOLECULAR PSYCHIATRY
- Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data
- (2019) Afsaneh Doryab et al. JMIR mHealth and uHealth
- Machine learning and big data: Implications for disease modeling and therapeutic discovery in psychiatry
- (2019) Andy M.Y. Tai et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Neurostructural Heterogeneity in Youth with Internalizing Symptoms
- (2019) Antonia N. Kaczkurkin et al. BIOLOGICAL PSYCHIATRY
- Three dimensional convolutional neural network-based classification of conduct disorder with structural MRI
- (2019) Jianing Zhang et al. Brain Imaging and Behavior
- Multi-omic biomarker identification and validation for diagnosing warzone-related post-traumatic stress disorder
- (2019) Kelsey R. Dean et al. MOLECULAR PSYCHIATRY
- Do no harm: a roadmap for responsible machine learning for health care
- (2019) Jenna Wiens et al. NATURE MEDICINE
- High-definition spatial transcriptomics for in situ tissue profiling
- (2019) Sanja Vickovic et al. NATURE METHODS
- Data denoising with transfer learning in single-cell transcriptomics
- (2019) Jingshu Wang et al. NATURE METHODS
- Quantifying the Association Between Psychotherapy Content and Clinical Outcomes Using Deep Learning
- (2019) Michael P. Ewbank et al. JAMA Psychiatry
- Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data
- (2019) Weizheng Yan et al. EBioMedicine
- A Brief Review of Artificial Intelligence Applications and Algorithms for Psychiatric Disorders
- (2019) Guang-Di Liu et al. Engineering
- Brain regulation of emotional conflict predicts antidepressant treatment response for depression
- (2019) Gregory A. Fonzo et al. Nature Human Behaviour
- High-throughput sequencing of the transcriptome and chromatin accessibility in the same cell
- (2019) Song Chen et al. NATURE BIOTECHNOLOGY
- Exploring single-cell data with deep multitasking neural networks
- (2019) Matthew Amodio et al. NATURE METHODS
- Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction
- (2019) Meenakshi Khosla et al. NEUROIMAGE
- Neural correlates of delay discount alterations in addiction and psychiatric disorders: A systematic review of magnetic resonance imaging studies
- (2019) Yoshihiro Noda et al. PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
- Artificial Intelligence for Mental Health and Mental Illnesses: an Overview
- (2019) Sarah Graham et al. Current Psychiatry Reports
- Recommendations and future directions for supervised machine learning in psychiatry
- (2019) Micah Cearns et al. Translational Psychiatry
- Predicting rehospitalization within 2 years of initial patient admission for a major depressive episode: a multimodal machine learning approach
- (2019) Micah Cearns et al. Translational Psychiatry
- Individual Patterns of Abnormality in Resting-State Functional Connectivity Reveal Two Data-Driven PTSD Subgroups
- (2019) Adi Maron-Katz et al. AMERICAN JOURNAL OF PSYCHIATRY
- Artificial intelligence and the future of psychiatry: Insights from a global physician survey
- (2019) P. Murali Doraiswamy et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- A Manifold Regularized Multi-Task Learning Model for IQ Prediction From Two fMRI Paradigms
- (2019) Li Xiao et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Individual prediction of psychotherapy outcome in posttraumatic stress disorder using neuroimaging data
- (2019) Paul Zhutovsky et al. Translational Psychiatry
- Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation
- (2019) Jean-Marc Fellous et al. Frontiers in Neuroscience
- Four-Dimensional Modeling of fMRI Data via Spatio–Temporal Convolutional Neural Networks (ST-CNNs)
- (2019) Yu Zhao et al. IEEE Transactions on Cognitive and Developmental Systems
- Reward Processing in Depression: A Conceptual and Meta-Analytic Review Across fMRI and EEG Studies
- (2018) Hanna Keren et al. AMERICAN JOURNAL OF PSYCHIATRY
- A Longitudinal Imaging Genetics Study of Neuroanatomical Asymmetry in Alzheimer’s Disease
- (2018) Christian Wachinger et al. BIOLOGICAL PSYCHIATRY
- Distinct Proteomic, Transcriptomic, and Epigenetic Stress Responses in Dorsal and Ventral Hippocampus
- (2018) Amalia Floriou-Servou et al. BIOLOGICAL PSYCHIATRY
- Machine learning classification of first-episode schizophrenia spectrum disorders and controls using whole brain white matter fractional anisotropy
- (2018) Pavol Mikolas et al. BMC Psychiatry
- Multimodal Neuroimaging: Basic Concepts and Classification of Neuropsychiatric Diseases
- (2018) Emine Elif Tulay et al. CLINICAL EEG AND NEUROSCIENCE
- Statistical harmonization corrects site effects in functional connectivity measurements from multi-site fMRI data
- (2018) Meichen Yu et al. HUMAN BRAIN MAPPING
- Sensing Technologies for Monitoring Serious Mental Illnesses
- (2018) Saeed Abdullah et al. IEEE MULTIMEDIA
- Predicting suicide attempts in adolescents with longitudinal clinical data and machine learning
- (2018) Colin G. Walsh et al. JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY
- Predicting Mood Disturbance Severity with Mobile Phone Keystroke Metadata: A BiAffect Digital Phenotyping Study
- (2018) John Zulueta et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease
- (2018) Sarah Parisot et al. MEDICAL IMAGE ANALYSIS
- Treatment response prediction and individualized identification of first-episode drug-naïve schizophrenia using brain functional connectivity
- (2018) Bo Cao et al. MOLECULAR PSYCHIATRY
- Subtyping cognitive profiles in Autism Spectrum Disorder using a Functional Random Forest algorithm
- (2018) E. Feczko et al. NEUROIMAGE
- Statistical Challenges in “Big Data” Human Neuroimaging
- (2018) Stephen M. Smith et al. NEURON
- Multivariate resting-state functional connectivity predicts response to cognitive behavioral therapy in obsessive–compulsive disorder
- (2018) Nicco Reggente et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Dynamic Multimodal Measurement of Depression Severity Using Deep Autoencoding
- (2018) Hamdi Dibeklioglu et al. IEEE Journal of Biomedical and Health Informatics
- Visually Interpretable Representation Learning for Depression Recognition from Facial Images
- (2018) Xiuzhuang Zhou et al. IEEE Transactions on Affective Computing
- Addressing the Causality Gap in Human Psychiatric Neuroscience
- (2018) Amit Etkin JAMA Psychiatry
- Identification of autism spectrum disorder using deep learning and the ABIDE dataset
- (2018) Anibal Sólon Heinsfeld et al. NeuroImage-Clinical
- Classification of multi-site MR images in the presence of heterogeneity using multi-task learning
- (2018) Qiongmin Ma et al. NeuroImage-Clinical
- Machine learning in major depression: From classification to treatment outcome prediction
- (2018) Shuang Gao et al. CNS Neuroscience & Therapeutics
- Risk prediction using natural language processing of electronic mental health records in an inpatient forensic psychiatry setting
- (2018) Duy Van Le et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Mood variations decoded from multi-site intracranial human brain activity
- (2018) Omid G Sani et al. NATURE BIOTECHNOLOGY
- Reading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophrenia
- (2018) Sergey M. Plis et al. NEUROIMAGE
- Colloquium : Control of dynamics in brain networks
- (2018) Evelyn Tang et al. REVIEWS OF MODERN PHYSICS
- Joint profiling of chromatin accessibility and gene expression in thousands of single cells
- (2018) Junyue Cao et al. SCIENCE
- Digital phenotyping: a global tool for psychiatry
- (2018) Thomas R. Insel World Psychiatry
- Linked dimensions of psychopathology and connectivity in functional brain networks
- (2018) Cedric Huchuan Xia et al. Nature Communications
- Mental health monitoring with multimodal sensing and machine learning: A survey
- (2018) Enrique Garcia-Ceja et al. Pervasive and Mobile Computing
- Using the Beta distribution in group-based trajectory models
- (2018) Jonathan Elmer et al. BMC Medical Research Methodology
- Using deep autoencoders to identify abnormal brain structural patterns in neuropsychiatric disorders: A large-scale multi-sample study
- (2018) Walter H. L. Pinaya et al. HUMAN BRAIN MAPPING
- 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
- An emerging epigenetic framework of systemic and central mechanisms underlying stress-related disorders
- (2018) Carla Nasca et al. NEUROPSYCHOPHARMACOLOGY
- Facebook language predicts depression in medical records
- (2018) Johannes C. Eichstaedt et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Translational machine learning for psychiatric neuroimaging
- (2018) Martin Walter et al. PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
- Can we use neuroimaging data to differentiate between subgroups of children with ADHD symptoms: A proof of concept study using latent class analysis of brain activity
- (2018) Aleksandra Lecei et al. NeuroImage-Clinical
- Understanding and Predicting Antidepressant Response: Using Animal Models to Move Toward Precision Psychiatry
- (2018) David P. Herzog et al. Frontiers in Psychiatry
- Multiway canonical correlation analysis of brain data
- (2018) Alain de Cheveigné et al. NEUROIMAGE
- Deep Multimodal Learning: A Survey on Recent Advances and Trends
- (2017) Dhanesh Ramachandram et al. IEEE SIGNAL PROCESSING MAGAZINE
- Detecting Bipolar Depression From Geographic Location Data
- (2017) N. Palmius et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- MMM: classification of schizophrenia using multi-modality multi-atlas feature representation and multi-kernel learning
- (2017) Jin Liu et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Sex-specific transcriptional signatures in human depression
- (2017) Benoit Labonté et al. NATURE MEDICINE
- Dynamic models of large-scale brain activity
- (2017) Michael Breakspear NATURE NEUROSCIENCE
- Using connectome-based predictive modeling to predict individual behavior from brain connectivity
- (2017) Xilin Shen et al. Nature Protocols
- HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework
- (2017) Erdem Varol et al. NEUROIMAGE
- Classification of first-episode psychosis in a large cohort of patients using support vector machine and multiple kernel learning techniques
- (2017) Letizia Squarcina et al. NEUROIMAGE
- Identification and individualized prediction of clinical phenotypes in bipolar disorders using neurocognitive data, neuroimaging scans and machine learning
- (2017) Mon-Ju Wu et al. NEUROIMAGE
- Multi-center MRI prediction models: Predicting sex and illness course in first episode psychosis patients
- (2017) Mireille Nieuwenhuis et al. NEUROIMAGE
- Navigating the Neural Space in Search of the Neural Code
- (2017) Mehrdad Jazayeri et al. NEURON
- Neuroanatomical heterogeneity of schizophrenia revealed by semi-supervised machine learning methods
- (2017) Nicolas Honnorat et al. SCHIZOPHRENIA RESEARCH
- Automated Depression Diagnosis based on Deep Networks to Encode Facial Appearance and Dynamics
- (2017) Yu Zhu et al. IEEE Transactions on Affective Computing
- Understanding Heterogeneity in Clinical Cohorts Using Normative Models: Beyond Case-Control Studies
- (2016) Andre F. Marquand et al. BIOLOGICAL PSYCHIATRY
- Joint Blind Source Separation for Neurophysiological Data Analysis: Multiset and multimodal methods
- (2016) Xun Chen et al. IEEE SIGNAL PROCESSING MAGAZINE
- Semi-supervised learning of the electronic health record for phenotype stratification
- (2016) Brett K. Beaulieu-Jones et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Resting-state connectivity biomarkers define neurophysiological subtypes of depression
- (2016) Andrew T Drysdale et al. NATURE MEDICINE
- Computational psychiatry as a bridge from neuroscience to clinical applications
- (2016) Quentin J M Huys et al. NATURE NEUROSCIENCE
- Measuring the cortical correlation structure of spontaneous oscillatory activity with EEG and MEG
- (2016) Marcus Siems et al. NEUROIMAGE
- Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health
- (2016) Jukka-Pekka Onnela et al. NEUROPSYCHOPHARMACOLOGY
- Brain Neuromodulation Techniques
- (2016) Philip M. Lewis et al. NEUROSCIENTIST
- Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data
- (2016) Guoxu Zhou et al. PROCEEDINGS OF THE IEEE
- Epigenetics and energetics in ventral hippocampus mediate rapid antidepressant action: Implications for treatment resistance
- (2016) Benedetta Bigio et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Reward-related neural activity and structure predict future substance use in dysregulated youth
- (2016) M. A. Bertocci et al. PSYCHOLOGICAL MEDICINE
- Information-Based Approaches of Noninvasive Transcranial Brain Stimulation
- (2016) Vincenzo Romei et al. TRENDS IN NEUROSCIENCES
- Therapeutic Efficacy of Neurostimulation for Depression: Techniques, Current Modalities, and Future Challenges
- (2016) Hafsah Akhtar et al. Neuroscience Bulletin
- Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction
- (2016) Guoxu Zhou et al. IEEE Transactions on Neural Networks and Learning Systems
- Sparse Bayesian Classification of EEG for Brain–Computer Interface
- (2016) Yu Zhang et al. IEEE Transactions on Neural Networks and Learning Systems
- The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing
- (2016) Florian Eyben et al. IEEE Transactions on Affective Computing
- Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data
- (2016) Ronny Redlich et al. JAMA Psychiatry
- Brain responses to biological motion predict treatment outcome in young children with autism
- (2016) D Yang et al. Translational Psychiatry
- Predicting early psychiatric readmission with natural language processing of narrative discharge summaries
- (2016) A Rumshisky et al. Translational Psychiatry
- Multimodal MRI-Based Classification of Trauma Survivors with and without Post-Traumatic Stress Disorder
- (2016) Qiongmin Zhang et al. Frontiers in Neuroscience
- Validation of Electronic Health Record Phenotyping of Bipolar Disorder Cases and Controls
- (2015) Victor M. Castro et al. AMERICAN JOURNAL OF PSYCHIATRY
- Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
- (2015) Benjamin Letham et al. Annals of Applied Statistics
- Predicting the Naturalistic Course of Major Depressive Disorder Using Clinical and Multimodal Neuroimaging Information: A Multivariate Pattern Recognition Study
- (2015) Lianne Schmaal et al. BIOLOGICAL PSYCHIATRY
- High-throughput analysis of behavior for drug discovery
- (2015) Vadim Alexandrov et al. EUROPEAN JOURNAL OF PHARMACOLOGY
- Multimodal analysis of functional and structural disconnection in Alzheimer's disease using multiple kernel SVM
- (2015) Martin Dyrba et al. HUMAN BRAIN MAPPING
- Parcellating cortical functional networks in individuals
- (2015) Danhong Wang et al. NATURE NEUROSCIENCE
- Mechanisms of stress in the brain
- (2015) Bruce S McEwen et al. NATURE NEUROSCIENCE
- Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity
- (2015) Emily S Finn et al. NATURE NEUROSCIENCE
- A Large-Scale Circuit Mechanism for Hierarchical Dynamical Processing in the Primate Cortex
- (2015) Rishidev Chaudhuri et al. NEURON
- Multimodal Data Fusion Using Source Separation: Two Effective Models Based on ICA and IVA and Their Properties
- (2015) Tulay AdalI et al. PROCEEDINGS OF THE IEEE
- Data Fusion in Metabolomics Using Coupled Matrix and Tensor Factorizations
- (2015) Evrim Acar et al. PROCEEDINGS OF THE IEEE
- Multimodal Data Fusion Using Source Separation: Application to Medical Imaging
- (2015) Tulay Adali et al. PROCEEDINGS OF THE IEEE
- Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects
- (2015) Dana Lahat et al. PROCEEDINGS OF THE IEEE
- Brain disorders? Precisely
- (2015) T. R. Insel et al. SCIENCE
- A review of depression and suicide risk assessment using speech analysis
- (2015) Nicholas Cummins et al. SPEECH COMMUNICATION
- Prediction of psychosis using neural oscillations and machine learning in neuroleptic-naïve at-risk patients
- (2015) Avinash Ramyead et al. WORLD JOURNAL OF BIOLOGICAL PSYCHIATRY
- Resting-State Functional Connectivity in Psychiatric Disorders
- (2015) Neil D. Woodward et al. JAMA Psychiatry
- Reinforcement learning for adaptive threshold control of restorative brain-computer interfaces: a Bayesian simulation
- (2015) Robert Bauer et al. Frontiers in Neuroscience
- The NIMH Research Domain Criteria (RDoC) Project: Precision Medicine for Psychiatry
- (2014) Thomas R. Insel AMERICAN JOURNAL OF PSYCHIATRY
- Dynamic changes of spatial functional network connectivity in healthy individuals and schizophrenia patients using independent vector analysis
- (2014) Sai Ma et al. NEUROIMAGE
- Resting-state networks link invasive and noninvasive brain stimulation across diverse psychiatric and neurological diseases
- (2014) M. D. Fox et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Joint and individual variation explained (JIVE) for integrated analysis of multiple data types
- (2013) Eric F. Lock et al. Annals of Applied Statistics
- Internet-based versus face-to-face cognitive-behavioral intervention for depression: A randomized controlled non-inferiority trial
- (2013) Birgit Wagner et al. JOURNAL OF AFFECTIVE DISORDERS
- Overview of potential procedural and participant- related confounds for neuroimaging of the resting state
- (2013) Niall Duncan et al. JOURNAL OF PSYCHIATRY & NEUROSCIENCE
- Antidepressant epigenetic action
- (2013) Monica Hoyos Flight NATURE REVIEWS NEUROSCIENCE
- A DCM for resting state fMRI
- (2013) Karl J. Friston et al. NEUROIMAGE
- Creating the Feedback Loop
- (2013) Adam O. Hebb et al. NEUROSURGERY CLINICS OF NORTH AMERICA
- Causal interactions between fronto-parietal central executive and default-mode networks in humans
- (2013) A. C. Chen et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Ketamine elicits sustained antidepressant-like activity via a serotonin-dependent mechanism
- (2013) Valentina Gigliucci et al. PSYCHOPHARMACOLOGY
- Functional connectomics from resting-state fMRI
- (2013) Stephen M. Smith et al. TRENDS IN COGNITIVE SCIENCES
- Large-scale cortical correlation structure of spontaneous oscillatory activity
- (2012) Joerg F Hipp et al. NATURE NEUROSCIENCE
- Fusingin vivoandex vivoNMR sources of information for brain tumor classification
- (2011) A R Croitor-Sava et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model
- (2011) Jing Sui et al. NEUROIMAGE
- Multimodal classification of Alzheimer's disease and mild cognitive impairment
- (2011) Daoqiang Zhang et al. NEUROIMAGE
- Research Domain Criteria (RDoC): Toward a New Classification Framework for Research on Mental Disorders
- (2010) Thomas Insel et al. AMERICAN JOURNAL OF PSYCHIATRY
- Canonical Correlation Analysis for Data Fusion and Group Inferences
- (2010) Nicolle Correa et al. IEEE SIGNAL PROCESSING MAGAZINE
- Use of Neuroanatomical Pattern Classification to Identify Subjects in At-Risk Mental States of Psychosis and Predict Disease Transition
- (2009) Nikolaos Koutsouleris et al. ARCHIVES OF GENERAL PSYCHIATRY
- Feature-Based Fusion of Medical Imaging Data
- (2009) Vince D. Calhoun et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- TREATING EPILEPSY VIA ADAPTIVE NEUROSTIMULATION: A REINFORCEMENT LEARNING APPROACH
- (2009) JOELLE PINEAU et al. International Journal of Neural Systems
- A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data
- (2008) Vince D. Calhoun et al. NEUROIMAGE
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