| Longitudinal relationships between depressive symptom severity and phone-measured mobility: dynamic structural equation modeling study Y Zhang, AA Folarin, S Sun, N Cummins, S Vairavan, R Bendayan, ... JMIR mental health 9 (3), e34898, 2022 | 24 | 2022 |
| Associations between depression symptom severity and daily-life gait characteristics derived from long-term acceleration signals in real-world settings: retrospective analysis Y Zhang, AA Folarin, S Sun, N Cummins, S Vairavan, L Qian, Y Ranjan, ... JMIR mHealth and uHealth 10 (10), e40667, 2022 | 9 | 2022 |
| The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions S Sun, AA Folarin, Y Zhang, N Cummins, S Liu, C Stewart, Y Ranjan, ... Computer methods and programs in biomedicine 227, 107204, 2022 | 8 | 2022 |
| Introducing symmetry in segmentation H Sankesara Towards Data Science 23, 2019 | 6 | 2019 |
| U-Net H Sankesara Medium. Retrieved November 20, 2021, 2019 | 6 | 2019 |
| Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis S Sun, AA Folarin, Y Zhang, N Cummins, R Garcia-Dias, C Stewart, ... Journal of medical Internet research 25, e45233, 2023 | 3 | 2023 |
| Remote administration of ADHD-sensitive cognitive tasks: a pilot study S Sun, H Denyer, H Sankesara, Q Deng, Y Ranjan, P Conde, Z Rashid, ... Journal of Attention Disorders 27 (9), 1040-1050, 2023 | 3 | 2023 |
| Investigating the use of digital health technology to monitor COVID-19 and its effects: protocol for an observational study (COVID Collab Study) C Stewart, Y Ranjan, P Conde, Z Rashid, H Sankesara, X Bai, ... JMIR research protocols 10 (12), e32587, 2021 | 3 | 2021 |
| Presentation of long COVID and associated risk factors in a mobile health study C Stewart, Y Ranjan, P Conde, S Sun, Z Rashid, H Sankesara, ... medRxiv, 2022.09. 27.22280404, 2022 | 2 | 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 355, 40-49, 2024 | 1 | 2024 |
| Home monitoring to detect progression of interstitial lung disease: A prospective cohort study MA Althobiani, Y Ranjan, AM Russell, J Jacob, M Orini, H Sankesara, ... Respirology, 2024 | | 2024 |
| Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing Y Zhang, AA Folarin, S Sun, N Cummins, Y Ranjan, Z Rashid, C Stewart, ... arXiv preprint arXiv:2312.02953, 2023 | | 2023 |
| Disease Insight through Digital Biomarkers Developed by Remotely Collected Wearables and Smartphone Data Z Rashid, AA Folarin, Y Ranjan, P Conde, H Sankesara, Y Zhang, S Sun, ... arXiv preprint arXiv:2308.02043, 2023 | | 2023 |
| RESPNet: resource-efficient and structure-preserving network for deformable image registration R Shanker, H Sankesara, S Nagar, M Bhattacharya The Journal of Supercomputing 79 (5), 4713-4736, 2023 | | 2023 |
| RADAR-IoT: An open-source, interoperable and extensible IoT gateway framework for healthcare and beyond Y Ranjan, H Sankesara, P Conde, J Chang, Z Rashid, RJ Dobson, ... Adjunct Proceedings of the 2022 ACM International Joint Conference on …, 2022 | | 2022 |
| Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study). C Stewart, Y Ranjan, P Conde, Z Rashid, H Sankesara, X Bai, ... JMIR Research Protocols 10 (12), e32587-e32587, 2021 | | 2021 |
| Passive remote monitoring using phone and wearable sensors to identify digital markers of ADHD H Sankesara, H Denyer, S Sun, Q Deng, Y Ranjan, P Conde, Z Rashid, ... | | |
