| 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 |
Nicholas CumminsKing's College LondonVerified email at kcl.ac.uk
