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Associations between depression, lifestyle and brain structure: A longitudinal MRI study., , , , , and . NeuroImage, (2021)Using smartphones and wearable devices to monitor behavioural changes during COVID-19., , , , , , , , , and 13 other author(s). CoRR, (2020)Gross Motor Activity Patterns in Depression and Anxiety., , , , , , , , and . eScience, page 286. IEEE Computer Society, (2018)Consistency of biological networks inferred from microarray and sequencing data., , , , , , and . BMC Bioinform., (2016)Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study., , , , , , , , , and 19 other author(s). npj Digit. Medicine, (2023)Population structure, migration, and diversifying selection in the Netherlands, , , , , , , , , and 7 other author(s). Eur J Hum Genet, (March 2013)Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study., , , , , , , , , and 14 other author(s). CoRR, (2021)Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder., , , , , , , , , and 8 other author(s). npj Digit. Medicine, (2022)Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model., , , , , , , , , and 18 other author(s). CoRR, (2023)DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features., , , , , , , , , and 78 other author(s). CoRR, (2023)