Ting Dang

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 6

Top Topics

Cross Sectional

Coronavirus Disease

Artificial Intelligence

Loop Mediated Isothermal Amplification

Top Venues

Journal of medical Internet research

Royal Society open science

This page only lists publications with an associated author ORCID identifier.

Publications

Ting Dang, Dimitris Spathis, Abhirup Ghosh, Cecilia Mascolo
Human-centred artificial intelligence for mobile health sensing: challenges and opportunities. Royal Society open science 10 (11) (2023)
Jing Han, Marco Montagna, Andreas Grammenos, Tong Xia, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Dimitris Spathis, R Andres Floto, Pietro Cicuta, Cecilia Mascolo
Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study. Journal of medical Internet research 25 (2023)
Jing Han, Marco Montagna, Andreas Grammenos, Tong Xia, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Dimitris Spathis, R Andres Floto, Pietro Cicuta, Cecilia Mascolo
Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study. Journal of medical Internet research 25 (2023)
Jing Han, Marco Montagna, Andreas Grammenos, Tong Xia, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Dimitris Spathis, R Andres Floto, Pietro Cicuta, Cecilia Mascolo
Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study. Journal of medical Internet research 25 (2023)
Jing Han, Marco Montagna, Andreas Grammenos, Tong Xia, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Dimitris Spathis, R Andres Floto, Pietro Cicuta, Cecilia Mascolo
Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study. Journal of medical Internet research 25 (2023)
Ting Dang, Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, R Andres Floto, Pietro Cicuta, Cecilia Mascolo
Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation. Journal of medical Internet research 24 (6) (2022)