Trister, Andrew D.

The mPower study, Parkinson disease mobile data collected using ResearchKit

Bot, B. M., Suver, C., Neto, E. C., Kellen, M., Klein, A., Bare, C., Doerr, M., Pratap, A., Wilbanks, J., Dorsey, E. R., et al. (2016) · Scientific Data

Mobile Health and mHealth ApplicationsContext-Aware Activity Recognition Systems

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Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning

Chen, R. J., Chen, C., Li, Y., Chen, T. Y., Trister, A. D., Krishnan, R. G., & Mahmood, F. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

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Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms

Schaffter, T., Buist, D. S. M., Lee, C. I., Nikulin, Y., Ribli, D., Guan, Y., Lotter, W., Jie, Z., Du, H., Wang, S., et al. (2020) · JAMA Network Open

AI in cancer detectionDigital Radiography and Breast Imaging

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The use of smartphones for health research

Dorsey, E. R., “Yvonne” Chan, Y.-F., McConnell, M. V., Shaw, S. Y., Trister, A. D., & Friend, S. H. (2017) · Academic Medicine

Mobile Health and mHealth ApplicationsMobile Crowdsensing and Crowdsourcing

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Detecting the impact of subject characteristics on machine learning-based diagnostic applications

Chaibub Neto, E., Pratap, A., Perumal, T. M., Tummalacherla, M., Snyder, P., Bot, B. M., Trister, A. D., Friend, S. H., Mangravite, L., & Omberg, L. (2019) · npj Digital Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare

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PERSONALIZED HYPOTHESIS TESTS FOR DETECTING MEDICATION RESPONSE IN PARKINSON DISEASE PATIENTS USING iPHONE SENSOR DATA

CHAIBUB NETO, E., BOT, B. M., PERUMAL, T., OMBERG, L., GUINNEY, J., KELLEN, M., KLEIN, A., FRIEND, S. H., & TRISTER, A. D. (2016) · Biocomputing 2016

Statistical Methods in Clinical TrialsParkinson's Disease Mechanisms and Treatments

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