Dy, Jennifer

Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

Brown, J. M., Campbell, J. P., Beers, A., Chang, K., Ostmo, S., Chan, R. V. P., Dy, J., Erdogmus, D., Ioannidis, S., Kalpathy-Cramer, J., et al. (2018) · JAMA Ophthalmology

Retinal Imaging and AnalysisRetinopathy of Prematurity Studies

Cited by 657

Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors

Patel, S., Lorincz, K., Hughes, R., Huggins, N., Growdon, J., Standaert, D., Akay, M., Dy, J., Welsh, M., & Bonato, P. (2009) · IEEE Transactions on Information Technology in Biomedicine

Context-Aware Activity Recognition SystemsArtificial Intelligence in Healthcare

Cited by 623

Emotion fingerprints or emotion populations? A meta-analytic investigation of autonomic features of emotion categories

Siegel, E. H., Sands, M. K., Van den Noortgate, W., Condon, P., Chang, Y., Dy, J., Quigley, K. S., & Barrett, L. F. (2018) · Psychological Bulletin

Heart Rate Variability and Autonomic ControlEmotion and Mood Recognition

Cited by 515

A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology

Patel, S., Hughes, R., Hester, T., Stein, J., Akay, M., Dy, J. G., & Bonato, P. (2010) · Proceedings of the IEEE

Stroke Rehabilitation and RecoveryContext-Aware Activity Recognition Systems

Cited by 170

Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery

Adans-Dester, C., Hankov, N., O’Brien, A., Vergara-Diaz, G., Black-Schaffer, R., Zafonte, R., Dy, J., Lee, S. I., & Bonato, P. (2020) · npj Digital Medicine

Stroke Rehabilitation and RecoveryContext-Aware Activity Recognition Systems

Cited by 130

Context-aware experience sampling reveals the scale of variation in affective experience

Hoemann, K., Khan, Z., Feldman, M. J., Nielson, C., Devlin, M., Dy, J., Barrett, L. F., Wormwood, J. B., & Quigley, K. S. (2020) · Scientific Reports

Emotion and Mood RecognitionMental Health Research Topics

Cited by 124

Intelligent labeling based on fisher information for medical image segmentation using deep learning

Sourati, J., Gholipour, A., Dy, J. G., Tomas-Fernandez, X., Kurugol, S., & Warfield, S. K. (2019) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesMachine Learning and Algorithms

Cited by 50

Investigating the relationship between emotional granularity and cardiorespiratory physiological activity in daily life

Hoemann, K., Khan, Z., Kamona, N., Dy, J., Barrett, L. F., & Quigley, K. S. (2021) · Psychophysiology

Heart Rate Variability and Autonomic ControlMental Health Research Topics

Cited by 40