RADAR-base: Epilepsy Case Study. - Zulqarnain Rashid; Callum L. Stewart; Sebastian Böttcher; Yatharth Ranjan; Richard J. B. Dobson; Amos A. Folarin (UbiComp/ISWC Adjunct, 2018)

RADAR-base: Major Depressive Disorder and Epilepsy Case Studies. - Callum L. Stewart; Zulqarnain Rashid; Yatharth Ranjan; Shaoxiong Sun; Richard J. B. Dobson; Amos A. Folarin (UbiComp/ISWC Adjunct, 2018)

Challenges & solutions in a hybrid mHealth mobile app. - Yatharth Ranjan; Amos A. Folarin; Callum L. Stewart; Pauline Conde; Richard J. B. Dobson; Zulqarnain Rashid (UbiComp/ISWC Adjunct, 2019)

Fitbeat: COVID-19 Estimation based on Wristband Heart Rate. - Shuo Liu 012; Jing Han 010; Estela Laporta Puyal; Spyridon Kontaxis; Shaoxiong Sun; Patrick Locatelli; Judith Dineley; Florian B. Pokorny; Gloria Dalla Costa; Letizia Leocani; Ana Isabel Guerrero; Carlos Nos; et al. (CoRR, 2021)

Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study. - Yuezhou Zhang; Amos A. Folarin; Shaoxiong Sun; Nicholas Cummins; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Callum L. Stewart; Petroula Laiou; Faith Matcham; Carolin Oetzmann; Femke Lamers; et al. (CoRR, 2021)

The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions. - Shaoxiong Sun; Amos A. Folarin; Yuezhou Zhang; Nicholas Cummins; Shuo Liu 012; Callum L. Stewart; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Petroula Laiou; Heet Sankesara; Gloria Dalla Costa; et al. (Comput. Methods Programs Biomed., 2022)

Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder. - Shuo Liu 012; Jing Han 010; Estela Laporta Puyal; Spyridon Kontaxis; Shaoxiong Sun; Patrick Locatelli; Judith Dineley; Florian B. Pokorny; Gloria Dalla Costa; Letizia Leocani; Ana Isabel Guerrero; Carlos Nos; et al. (Pattern Recognit., 2022)

Disease Insight through Digital Biomarkers Developed by Remotely Collected Wearables and Smartphone Data. - Zulqarnain Rashid; Amos A. Folarin; Yatharth Ranjan; Pauline Conde; Heet Sankesara; Yuezhou Zhang; Shaoxiong Sun; Callum L. Stewart; Petroula Laiou; Richard J. B. Dobson (CoRR, 2023)

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model. - Yuezhou Zhang; Amos A. Folarin; Judith Dineley; Pauline Conde; Valeria de Angel; Shaoxiong Sun; Yatharth Ranjan; Zulqarnain Rashid; Callum L. Stewart; Petroula Laiou; Heet Sankesara; Linglong Qian; et al. (CoRR, 2023)

Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study. - Yuezhou Zhang; Abhishek Pratap; Amos A. Folarin; Shaoxiong Sun; Nicholas Cummins; Faith Matcham; Srinivasan Vairavan; Judith Dineley; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Callum L. Stewart; et al. (npj Digit. Medicine, 2023)

Large-scale digital phenotyping: identifying depression and anxiety indicators in a general UK population with over 10,000 participants. - Yuezhou Zhang; Callum L. Stewart; Yatharth Ranjan; Pauline Conde; Heet Sankesara; Zulqarnain Rashid; Shaoxiong Sun; Richard J. B. Dobson; Amos A. Folarin (CoRR, 2024)

An Explainable Anomaly Detection Framework for Monitoring Depression and Anxiety Using Consumer Wearable Devices. - Yuezhou Zhang; Amos A. Folarin; Callum L. Stewart; Heet Sankesara; Yatharth Ranjan; Pauline Conde; Akash Roy Choudhury; Shaoxiong Sun; Zulqarnain Rashid; Richard J. B. Dobson (CoRR, 2025)