Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

MDN: A Deep Maximization-Differentiation Network for Spatio-Temporal Depression Detection

16 references·16 citing·49 second hopsampled

FromToDepth

this work references cited by second hop· second hop is a sample of the most-cited connections

References

2022Diagnostic and Statistical Manual of Mental Disorders23,420 cited
2009Clinical diagnosis of depression in primary care: a meta-analysis1,250 cited
2008A bidirectional relationship between anxiety and depression, and insomnia? A prospective study in the general population645 cited
2011Painful data: The UNBC-McMaster shoulder pain expression archive database617 cited
2013AVEC 2013584 cited
2016AVEC 2016505 cited
2014AVEC 2014475 cited
2016Stress and anxiety detection using facial cues from videos343 cited
2014Sleep Disturbances in Depression321 cited
2017Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification297 cited
2018Visually Interpretable Representation Learning for Depression Recognition from Facial Images273 cited
2017Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics260 cited
2012Continuous Pain Intensity Estimation from Facial Expressions249 cited
2017Automatic Assessment of Depression Based on Visual Cues: A Systematic Review228 cited
2013Depression recognition based on dynamic facial and vocal expression features using partial least square regression

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

224 cited

2017Artificial Intelligent System for Automatic Depression Level Analysis Through Visual and Vocal Expressions219 cited

Cited by

2022Semi-Structural Interview-Based Chinese Multimodal Depression Corpus Towards Automatic Preliminary Screening of Depressive Disorders112 cited
2022MS²-GNN: Exploring GNN-Based Multimodal Fusion Network for Depression Detection107 cited
2023Spatial–Temporal Attention Network for Depression Recognition from facial videos101 cited
2022Deep Multi-Modal Network Based Automated Depression Severity Estimation98 cited
2023Depression Recognition Using Remote Photoplethysmography From Facial Videos97 cited
2023MTDAN: A Lightweight Multi-Scale Temporal Difference Attention Networks for Automated Video Depression Detection74 cited
2023Spatial–Temporal Feature Network for Speech-Based Depression Recognition73 cited
2023PRA-Net: Part-and-Relation Attention Network for depression recognition from facial expression69 cited
2023Integrating Deep Facial Priors Into Landmarks for Privacy Preserving Multimodal Depression Recognition59 cited
2021LQGDNet: A Local Quaternion and Global Deep Network for Facial Depression Recognition58 cited
2024Two-Stage Temporal Modelling Framework for Video-Based Depression Recognition Using Graph Representation55 cited
2023Emotion recognition from multiple physiological signals using intra- and inter-modality attention fusion network49 cited
2022Reducing noisy annotations for depression estimation from facial images47 cited
2023Facial expression analysis using Decomposed Multiscale Spatiotemporal Networks43 cited
2023Machine Learning in ADHD and Depression Mental Health Diagnosis: A Survey42 cited
2022Depressioner: Facial dynamic representation for automatic depression level prediction39 cited