Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Judith Dineley"'
Autor:
Carina Kuehne, Matthew D. Phillips, Sarah Moody, Callum Bryson, Iain C. Campbell, Pauline Conde, Nicholas Cummins, Sylvane Desrivières, Judith Dineley, Richard Dobson, Daire Douglas, Amos Folarin, Lucy Gallop, Amelia Hemmings, Başak İnce, Luke Mason, Zulqarnain Rashid, Alice Bromell, Christopher Sims, Karina Allen, Chantal Bailie, Parveen Bains, Mike Basher, Francesca Battisti, Julian Baudinet, Katherine Bristow, Nicola Dawson, Lizzie Dodd, Victoria Frater, Robert Freudenthal, Beth Gripton, Carol Kan, Joel W. T. Khor, Nicus Kotze, Stuart Laverack, Lee Martin, Sarah Maxwell, Sarah McDonald, Delysia McKnight, Ruairidh McKay, Jessica Merrin, Mel Nash, Dasha Nicholls, Shirlie Palmer, Samantha Pearce, Catherine Roberts, Lucy Serpell, Emilia Severs, Mima Simic, Amelia Staton, Sian Westaway, Helen Sharpe, Ulrike Schmidt, EDIFY consortium, Heike Bartel, Tara French, Jonathan Kelly, Nadia Micali, Sneha Raman, Janet Treasure, Umairah Malik, Diego Rabelo-da-Ponte, Fiona Stephens, Tine Opitz, Nora Trompeter, Jessica Wilkins, Tamsin Parnell, Ruby Abbas, Grace Davis, Cameron Eadie, Lara Gracie, Beck Heslop, Katie McKenzie, Eniola Odubanjo, Chris Sims, Tallulah Street, Andreia Tavares-Semedo, Eleanor Wilkinson, Lucy Zocek
Publikováno v:
BMC Psychiatry, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background Eating disorders (EDs) are serious, often chronic, conditions associated with pronounced morbidity, mortality, and dysfunction increasingly affecting young people worldwide. Illness progression, stages and recovery trajectories of
Externí odkaz:
https://doaj.org/article/12095c5241a1445aa79163e2441022c7
Autor:
Yuezhou Zhang, Abhishek Pratap, Amos A. Folarin, Shaoxiong Sun, Nicholas Cummins, Faith Matcham, Srinivasan Vairavan, Judith Dineley, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Katie M. White, Carolin Oetzmann, Alina Ivan, Femke Lamers, Sara Siddi, Carla Hernández Rambla, Sara Simblett, Raluca Nica, David C. Mohr, Inez Myin-Germeys, Til Wykes, Josep Maria Haro, Brenda W. J. H. Penninx, Peter Annas, Vaibhav A. Narayan, Matthew Hotopf, Richard J. B. Dobson, RADAR-CNS consortium
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-13 (2023)
Abstract Recent growth in digital technologies has enabled the recruitment and monitoring of large and diverse populations in remote health studies. However, the generalizability of inference drawn from remotely collected health data could be severel
Externí odkaz:
https://doaj.org/article/e895ecb39b224ea88670cbfb1c0bc6a3
Autor:
Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird, Lukas Christ, Alexander Gebhard, Maurice Gerczuk, Vincent Karas, Tobias Hübner, Xin Jing, Shuo Liu, Adria Mallol-Ragolta, Manuel Milling, Sandra Ottl, Anastasia Semertzidou, Srividya Tirunellai Rajamani, Tianhao Yan, Zijiang Yang, Judith Dineley, Shahin Amiriparian, Katrin D. Bartl-Pokorny, Anton Batliner, Florian B. Pokorny, Björn W. Schuller
Publikováno v:
Frontiers in Digital Health, Vol 5 (2023)
Recent years have seen a rapid increase in digital medicine research in an attempt to transform traditional healthcare systems to their modern, intelligent, and versatile equivalents that are adequately equipped to tackle contemporary challenges. Thi
Externí odkaz:
https://doaj.org/article/37ec478a52a04d60a259dc435e111374
Autor:
Sara Siddi, Iago Giné-Vázquez, Raquel Bailon, Faith Matcham, Femke Lamers, Spyridon Kontaxis, Estela Laporta, Esther Garcia, Belen Arranz, Gloria Dalla Costa, Ana Isabel Guerrero, Ana Zabalza, Mathias Due Buron, Giancarlo Comi, Letizia Leocani, Peter Annas, Matthew Hotopf, Brenda W. J. H. Penninx, Melinda Magyari, Per S. Sørensen, Xavier Montalban, Grace Lavelle, Alina Ivan, Carolin Oetzmann, Katie M. White, Sonia Difrancesco, Patrick Locatelli, David C. Mohr, Jordi Aguiló, Vaibhav Narayan, Amos Folarin, Richard J. B. Dobson, Judith Dineley, Daniel Leightley, Nicholas Cummins, Srinivasan Vairavan, Yathart Ranjan, Zulqarnain Rashid, Aki Rintala, Giovanni De Girolamo, Antonio Preti, Sara Simblett, Til Wykes, PAB Members, Inez Myin-Germeys, Josep Maria Haro, on behalf of the RADAR-CNS Consortium
Publikováno v:
Journal of Clinical Medicine, Vol 11, Iss 23, p 7163 (2022)
Background: Changes in lifestyle, finances and work status during COVID-19 lockdowns may have led to biopsychosocial changes in people with pre-existing vulnerabilities such as Major Depressive Disorders (MDDs) and Multiple Sclerosis (MS). Methods: D
Externí odkaz:
https://doaj.org/article/28e37d5d87b5449bb1d752c8fd1dedbb
Autor:
Richard Dobson, Yuezhou Zhang, Abhishek Pratap, Amos Folarin, Shaoxiong Sun, Nicholas Cummins, Faith Matcham, Srinivasan Vairavan, Judith Dineley, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Katie White, Carolin Oetzmann, Alina Ivan, Femke Lamers, Sara Siddi, Carla Rambla, Sara Simblett, Raluca Nica, David Mohr, Inez Myin-Germeys, Til Wykes, Josep Haro, Brenda Penninx, Peter Annas, Vaibhav Narayan, Matthew Hotopf
Publikováno v:
NPJ digital medicine, 6(1):25. Nature Publishing Group
RADAR-CNS Consortium 2023, ' Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study ', NPJ digital medicine, vol. 6, no. 1, 25 . https://doi.org/10.1038/s41746-023-00749-3
RADAR-CNS Consortium 2023, ' Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study ', NPJ digital medicine, vol. 6, no. 1, 25 . https://doi.org/10.1038/s41746-023-00749-3
Recent growth in remote studies has shown the effectiveness of digital health technologies in recruiting and monitoring the health and behavior of large and diverse populations of interest in real-world settings. However, retaining and engaging parti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb55ce11164c4aadf5e793b08c0f5605
https://doi.org/10.21203/rs.3.rs-1602069/v1
https://doi.org/10.21203/rs.3.rs-1602069/v1
Autor:
Esther Garcia, SARA SIDDI, Carolin Oetzmann, Inez Myin-Germeys, Xavier Montalban, Melinda Magyari, Judith Dineley, Belen Arranz
BackgroundChanges in lifestyle, finances and work status during COVID-19 lockdowns may have led to biopsychosocial changes in people with pre-existing vulnerabilities such as Major Depressive Disorders (MDD) and Multiple Sclerosis (MS).MethodsData we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93b3c4fb71769fc6e4b721a490f0964f
https://doi.org/10.1101/2022.05.10.22274890
https://doi.org/10.1101/2022.05.10.22274890
Autor:
Gloria Dalla Costa, Judith Dineley, Per Soelberg Sørensen, Raquel Bailon, Matthew Hotopf, Srinivasan Vairavan, Mathias Buron, Giancarlo Comi, Björn Schuller, Carlos Nos, Shuo Liu, Florian B. Pokorny, Ana Isabel Guerrero, Vaibhav A. Narayan, Shaoxiong Sun, Amos Folarin, Yatharth Ranjan, Letizia Leocani, Estela Laporta Puyal, Spyridon Kontaxis, Nicholas Cummins, Callum Stewart, Patrick Locatelli, Jing Han, Richard Dobson, Zulqarnain Rashid, Melinda Magyari, Pauline Conde, Ana Zabalza
Publikováno v:
Liu, S, Han, J, Puyal, E L, Kontaxis, S, Sun, S, Locatelli, P, Dineley, J, Pokorny, F B, Dalla Costa, G, Leocani, L, Guerrero, A I, Nos, C, Zabalza, A, Sorensen, P S, Buron, M, Magyari, M, Ranjan, Y, Rashid, Z, Conde, P, Stewart, C, Folarin, A A, Dobson, R J B, Bailon, R, Vairavan, S, Cummins, N, Narayan, V A, Hotopf, M, Comi, G, Schuller, B & RADAR-CNS Consortium 2022, ' Fitbeat : COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder ', Pattern Recognition, vol. 123, 108403 . https://doi.org/10.1016/j.patcog.2021.108403
Pattern Recognition
Pattern Recognition
This study proposes a contrastive convolutional auto-encoder (contrastive CAE), a combined architecture of an auto-encoder and contrastive loss, to identify individuals with suspected COVID-19 infection using heart-rate data from participants with mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b8dd863a0309e61c297f3dbf7b94a6f
https://curis.ku.dk/portal/da/publications/fitbeat(e7102f68-cfff-4fe4-b8bf-03199a1d93ae).html
https://curis.ku.dk/portal/da/publications/fitbeat(e7102f68-cfff-4fe4-b8bf-03199a1d93ae).html
Autor:
Josep Maria Haro, Nicholas Cummins, Daniel Leightley, Vaibhav A. Narayan, Carolin Oetzmann, Grace Lavelle, Zulqarnain Rashid, Amos Folarin, Erin Dawe-Lane, Daniel Stahl, Faith Matcham, Stuart Bruce, Björn Schuller, Sara Simblett, Katie M White, Maria Teresa Peñarrubia-María, Til Wykes, Judith Dineley, Richard Dobson, Yatharth Ranjan, Pauline Conde, Alina Ivan, Matthew Hotopf, Sara Siddi
Publikováno v:
Interspeech
Interspeech 2021
Interspeech 2021
The ease of in-the-wild speech recording using smartphones has sparked considerable interest in the combined application of speech, remote measurement technology (RMT) and advanced analytics as a research and healthcare tool. For this to be realised,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7437a788d9a61e9eef2dccba427112c
Publikováno v:
IJCNN
Traditional discrete-time Speech Emotion Recognition (SER) modelling techniques typically assume that an entire speaker chunk or turn is indicative of its corresponding label. An alternative approach is to assume emotional saliency varies over the co