Automatic Assessment of Depression and Anxiety through Encoding Pupil-wave from HCI in VR Scenes

1D convolutional neural networks and applications: A survey

(2020) Serkan Kiranyaz et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders

(2019) Ziping Zhao et al.   IEEE Journal of Selected Topics in Signal Processing

Squeeze-and-Excitation Networks

(2019) Jie Hu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Res2Net: A New Multi-Scale Backbone Architecture

(2019) Shang-Hua Gao et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The influence of emotional stimuli on the oculomotor system: A review of the literature

(2018) Manon Mulckhuyse   COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE

PuRe: Robust pupil detection for real-time pervasive eye tracking

(2018) Thiago Santini et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

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

Integrating Deep and Shallow Models for Multi-Modal Depression Analysis — Hybrid Architectures

(2018) Le Yang et al.   IEEE Transactions on Affective Computing

Video-Based Depression Level Analysis by Encoding Deep Spatiotemporal Features

(2018) Mohamad Al Jazaery et al.   IEEE Transactions on Affective Computing

Pupil localization in image data acquired with near-infrared or visible wavelength illumination

(2017) Farmanullah Jan   MULTIMEDIA TOOLS AND APPLICATIONS

Automatic Assessment of Depression Based on Visual Cues: A Systematic Review

(2017) Anastasia Pampouchidou et al.   IEEE Transactions on Affective Computing

Automated Depression Diagnosis based on Deep Networks to Encode Facial Appearance and Dynamics

(2017) Yu Zhu et al.   IEEE Transactions on Affective Computing

Separating generalized anxiety disorder from major depression using clinical, hormonal, and structural MRI data: A multimodal machine learning study

(2017) Kevin Hilbert et al.   Brain and Behavior

Artificial Intelligent System for Automatic Depression Level Analysis through Visual and Vocal Expressions

(2017) Asim Jan et al.   IEEE Transactions on Cognitive and Developmental Systems

Emotion, working memory, and cognitive control in patients with first-onset and previously untreated minor depressive disorders

(2016) Mi Li et al.   JOURNAL OF INTERNATIONAL MEDICAL RESEARCH

Using patient self-reports to study heterogeneity of treatment effects in major depressive disorder

(2016) R. C. Kessler et al.   Epidemiology and Psychiatric Sciences

The Economic Burden of Adults With Major Depressive Disorder in the United States (2005 and 2010)

(2015) Paul E. Greenberg et al.   JOURNAL OF CLINICAL PSYCHIATRY

Predicting Treatment Response in Social Anxiety Disorder From Functional Magnetic Resonance Imaging

(2012) Oliver Doehrmann et al.   JAMA Psychiatry

An integrated system based on physiological signals for the assessment of affective states in patients with anxiety disorders

(2010) Christos D. Katsis et al.   Biomedical Signal Processing and Control

The PHQ-8 as a measure of current depression in the general population

(2008) Kurt Kroenke et al.   JOURNAL OF AFFECTIVE DISORDERS

The pupil as a measure of emotional arousal and autonomic activation

(2008) Margaret M. Bradley et al.   PSYCHOPHYSIOLOGY