Prediction of drug response in major depressive disorder using ensemble of transfer learning with convolutional neural network based on EEG

EEG biomarker informed prescription of antidepressants in MDD: a feasibility trial

(2021) Nikita van der Vinne et al.   EUROPEAN NEUROPSYCHOPHARMACOLOGY

A review of deep learning with special emphasis on architectures, applications and recent trends

(2020) Saptarshi Sengupta et al.   KNOWLEDGE-BASED SYSTEMS

A survey of the recent architectures of deep convolutional neural networks

(2020) Asifullah Khan et al.   ARTIFICIAL INTELLIGENCE REVIEW

Detection of Depression and Scaling of Severity Using Six Channel EEG Data

(2020) Shalini Mahato et al.   JOURNAL OF MEDICAL SYSTEMS

EEG based multi-class seizure type classification using convolutional neural network and transfer learning

(2020) S. Raghu et al.   NEURAL NETWORKS

Multilayer brain network combined with deep convolutional neural network for detecting major depressive disorder

(2020) Weidong Dang et al.   NONLINEAR DYNAMICS

Investigating the Use of Pretrained Convolutional Neural Network on Cross-Subject and Cross-Dataset EEG Emotion Recognition

(2020) Yucel Cimtay et al.   SENSORS

Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach

(2020) Abdolkarim Saeedi et al.   Cognitive Neurodynamics

A review of the application of deep learning in medical image classification and segmentation

(2020) Lei Cai et al.   Annals of Translational Medicine

Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression

(2020) Pranav Rajpurkar et al.   JAMA Network Open

Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data

(2019) Natalia Jaworska et al.   Frontiers in Psychiatry

Deep learning for Electroencephalogram (EEG) classification tasks: A review

(2019) Alexander Craik et al.   Journal of Neural Engineering

Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals

(2019) Betul Ay et al.   JOURNAL OF MEDICAL SYSTEMS

Monitoring the level of hypnosis using a hierarchical SVM system

(2019) Ahmad Shalbaf et al.   JOURNAL OF CLINICAL MONITORING AND COMPUTING

Big Data and Artificial Intelligence Modeling for Drug Discovery

(2019) Hao Zhu   Annual Review of Pharmacology and Toxicology

Frontal–temporal functional connectivity of EEG signal by standardized permutation mutual information during anesthesia

(2019) Fahimeh Afshani et al.   Cognitive Neurodynamics

Switching antidepressants in the treatment of major depression: when, how and what to switch to?

(2019) Philip Boyce et al.   JOURNAL OF AFFECTIVE DISORDERS

Improving the Reliability of Deep Neural Networks in NLP: A Review

(2019) Basemah Alshemali et al.   KNOWLEDGE-BASED SYSTEMS

A deep learning framework for automatic diagnosis of unipolar depression

(2019) Wajid Mumtaz et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Normalization of EEG in depression after antidepressant treatment with sertraline? A preliminary report

(2019) N. van der Vinne et al.   JOURNAL OF AFFECTIVE DISORDERS

Ensemble Learning for Early‐Response Prediction of Antidepressant Treatment in Major Depressive Disorder

(2019) Cong Pei et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Automated EEG-based screening of depression using deep convolutional neural network

(2018) U. Rajendra Acharya et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update

(2018) F Lotte et al.   Journal of Neural Engineering

A Systematic Meta-Review of Predictors of Antidepressant Treatment Outcome in Major Depressive Disorder

(2018) Kelly Perlman et al.   JOURNAL OF AFFECTIVE DISORDERS

Complexity Analysis of EEG Data in Persons With Depression Subjected to Transcranial Magnetic Stimulation

(2018) Karolina Lebiecka et al.   Frontiers in Physiology

Electroencephalographic Biomarkers for Treatment Response Prediction in Major Depressive Illness: A Meta-Analysis

(2018) Alik S. Widge et al.   AMERICAN JOURNAL OF PSYCHIATRY

Major Depression Detection from EEG Signals Using Kernel Eigen-Filter-Bank Common Spatial Patterns

(2017) Shih-Cheng Liao et al.   SENSORS

The Sequenced Treatment Alternatives to Relieve Depression (STAR*D) Trial: A Review

(2017) Mark Sinyor et al.   CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE

Suicidal Behaviour in Mood Disorders—Who, When, and Why?

(2017) Erkki Isometsä   CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE

A wavelet-based technique to predict treatment outcome for Major Depressive Disorder

(2017) Wajid Mumtaz et al.   PLoS One

A machine learning approach using EEG data to predict response to SSRI treatment for major depressive disorder

(2013) Ahmad Khodayari-Rostamabad et al.   CLINICAL NEUROPHYSIOLOGY

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING