Judith Dineley

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Nicholas CumminsKing's College LondonDirección de correo verificada de kcl.ac.uk
Peter HoskinsEdinburgh UniversityDirección de correo verificada de ed.ac.uk
Professor Richard DobsonGroup lead and Professor in Bioinformatics, Kings College London and UCLDirección de correo verificada de kcl.ac.uk
Pauline CondeSoftware Developer, King's College LondonDirección de correo verificada de kcl.ac.uk
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGDirección de correo verificada de tum.de
Til WykesProfessor of Clinical PsychologyDirección de correo verificada de kcl.ac.uk
Sara SiddiDirección de correo verificada de pssjd.org
Tamie L. PoeppingWestern University (University of Western Ontario)Dirección de correo verificada de uwo.ca
Matthew HotopfKing's College LondonDirección de correo verificada de kcl.ac.uk
Sara SimblettLecturer, King's College LondonDirección de correo verificada de kcl.ac.uk
Edward L. Campbell HernándezatlanTTic Research Center, University of VigoDirección de correo verificada de gts.uvigo.es
Srinivasan VairavanDirector Data Science and Digital Health, Janssen Research and DevelopmentDirección de correo verificada de its.jnj.com
Ewan CarrDepartment of Biostatistics and Health Informatics, King's College London.Dirección de correo verificada de kcl.ac.uk
Johnny DownsCAMHS Digital Lab, King's Maudsley Partnership, IOPPN, King's College LondonDirección de correo verificada de kcl.ac.uk
Thomas QuatieriMITDirección de correo verificada de ll.mit.edu
Lukas StappenDirección de correo verificada de ieee.org
Yatharth RanjanKing's College LondonDirección de correo verificada de kcl.ac.uk
Dr Daniel LeightleyLecturer in Digital Health Sciences - King's College LondonDirección de correo verificada de kcl.ac.uk
Katie M. WhitePhD studentDirección de correo verificada de kcl.ac.uk
Paula Andrea Pérez-ToroFriedrich-Alexander-Universität Erlangen-Nürnberg; Universidad de AntioquiaDirección de correo verificada de fau.de

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Judith Dineley

Institute of Psychiatry, Psychology & Neuroscience, King's College London

Dirección de correo verificada de kcl.ac.uk

mHealth Speech Mental Health User Acceptance Ultrasound Imaging


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	82	2009
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	69	2006
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	33	2022
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	19	2023
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	18	2008
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	15	2019
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	13	2022
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	11	2021
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	10	2023
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	9	1999
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	8	2022
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	8	2007
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	8	2007
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	7	2023
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	6	2022
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	4	2024
Doppler ultrasound measurement of arterial wall motion (AWM) JA Dineley University of Edinburgh, 2007	3	2007
Wearable-derived sleep features predict relapse in Major Depressive Disorder. F Matcham, E Carr, N Meyer, KM White, C Oetzmann, D Leightley, ... PsyArXiv, 2023	2	2023
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	1	2024

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