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Judith Dineley
Judith Dineley
Institute of Psychiatry, Psychology & Neuroscience, King's College London
Подтвержден адрес электронной почты в домене kcl.ac.uk
Название
Процитировано
Процитировано
Год
Dosimetric comparison of intensity modulated radiotherapy techniques and standard wedged tangents for whole breast radiotherapy
A Fong, R Bromley, M Beat, D Vien, J Dineley, G Morgan
Journal of Medical Imaging and Radiation Oncology 53 (2009), 92-99, 2009
822009
Design and characterisation of a wall motion phantom
J Dineley, S Meagher, TL Poepping, WN McDicken, PR Hoskins
Ultrasound in medicine & biology 32 (9), 1349-1357, 2006
692006
Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder
S Liu, J Han, EL Puyal, S Kontaxis, S Sun, P Locatelli, J Dineley, ...
Pattern recognition 123, 108403, 2022
332022
Multilingual markers of depression in remotely collected speech samples: A preliminary analysis
N Cummins, J Dineley, P Conde, SS Faith Matcham, F Lamers, E Carr, ...
Journal of Affective Disorders, https://doi.org/10.1016/j.jad.2023.08.09, 2023
20*2023
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
Y Zhang, A Pratap, AA Folarin, S Sun, N Cummins, F Matcham, ...
NPJ digital medicine 6 (1), 25, 2023
192023
A Reproducibility Study of a TDI-Based Method to Calculate Indices of Arterial Stiffness
MW Claridge, GR Bate, JA Dineley, PR Hoskins, T Marshall, DA Adam, ...
Ultrasound in Medicine & Biology 34 (2), 215-220, 2008
182008
Context modelling using hierarchical attention networks for sentiment and self-assessed emotion detection in spoken narratives
L Stappen, N Cummins, EM Meßner, H Baumeister, J Dineley, B Schuller
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
152019
Predictors of engagement with remote sensing technologies for symptom measurement in Major Depressive Disorder
F Matcham, E Carr, KM White, D Leightley, F Lamers, S Siddi, P Annas, ...
Journal of Affective Disorders 310, 106-115, 2022
132022
Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder
J Dineley, G Lavelle, D Leightley, F Matcham, S Siddi, ...
Interspeech 2021, 631-635, 2021
112021
Classifying depression symptom severity: Assessment of speech representations in personalized and generalized machine learning models
E Campbell, J Dineley, P Conde, F Matcham, K White, C Oetzmann, ...
Proc. INTERSPEECH 2023, 1738-1742, 2023
102023
Characterization of cavitational activity in lithotripsy fields using a robust electromagnetic probe
SD Pye, JA Dineley
Ultrasound in medicine & biology 25 (3), 451-471, 1999
91999
Biopsychosocial response to the COVID-19 lockdown in people with major depressive disorder and multiple sclerosis
S Siddi, I Giné-Vázquez, R Bailon, F Matcham, F Lamers, S Kontaxis, ...
Journal of clinical medicine 11 (23), 7163, 2022
82022
An arterial wall motion test phantom for the evaluation of wall motion software
SJ Hammer, J Dineley, WJ Easson, PR Hoskins
Ultrasound in medicine & biology 33 (9), 1504-1511, 2007
82007
Factors affecting the arterial distension waveform derived from tissue Doppler imaging (TDI): an in vitro study on precision
JA Dineley, WN McDicken, PR Hoskins
Ultrasound in medicine & biology 33 (7), 1123-1131, 2007
82007
Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech
J Dineley, E Carr, F Matcham, J Downs, RJB Dobson, TF Quatieri, ...
Interspeech 2023, 2373-2377, 2023
72023
Detecting the Severity of Major Depressive Disorder from Speech: A Novel HARD-Training Methodology
EL Campbell, J Dineley, P Conde, F Matcham, F Lamers, S Siddi, ...
arXiv, 2022
62022
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model
Y Zhang, AA Folarin, J Dineley, P Conde, V de Angel, S Sun, Y Ranjan, ...
Journal of Affective Disorders, 2024
42024
Doppler ultrasound measurement of arterial wall motion (AWM)
JA Dineley
University of Edinburgh, 2007
32007
Wearable-derived sleep features predict relapse in Major Depressive Disorder.
F Matcham, E Carr, N Meyer, KM White, C Oetzmann, D Leightley, ...
PsyArXiv, 2023
22023
Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): A multi-centre prospective cohort study …
C Kuehne, M Phillips, S Moody, C Bryson, I Campbell, P Conde, ...
BMC Psychiatry, 2024
12024
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Статьи 1–20