Yeung, Serena

Deep learning-enabled medical computer vision

Esteva, A., Chou, K., Yeung, S., Naik, N., Madani, A., Mottaghi, A., Liu, Y., Topol, E., Dean, J., & Socher, R. (2021) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationAdvanced Neural Network Applications

Cited by 1,406

End-to-End Learning of Action Detection from Frame Glimpses in Videos

Yeung, S., Russakovsky, O., Mori, G., & Fei-Fei, L. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 585

GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition

Huang, S.-C., Shen, L., Lungren, M. P., & Yeung, S. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 489

Self-supervised learning for medical image classification: a systematic review and implementation guidelines

Huang, S.-C., Pareek, A., Jensen, M., Lungren, M. P., Yeung, S., & Chaudhari, A. S. (2023) · npj Digital Medicine

Domain Adaptation and Few-Shot LearningArtificial Intelligence in Healthcare and Education

Cited by 479

Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks

Jin, A., Yeung, S., Jopling, J., Krause, J., Azagury, D., Milstein, A., & Fei-Fei, L. (2018) · 2018 IEEE Winter Conference on Applications of Computer Vision (WACV)

Surgical Simulation and TrainingAdvanced Neural Network Applications

Cited by 323

Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials

Esteva, A., Feng, J., van der Wal, D., Huang, S.-C., Simko, J. P., DeVries, S., Chen, E., Schaeffer, E. M., Morgan, T. M., Sun, Y., et al. (2022) · npj Digital Medicine

Radiomics and Machine Learning in Medical ImagingAI in cancer detection

Cited by 217

Towards Viewpoint Invariant 3D Human Pose Estimation

Haque, A., Peng, B., Luo, Z., Alahi, A., Yeung, S., & Fei-Fei, L. (2016) · Lecture Notes in Computer Science

Human Pose and Action RecognitionFace recognition and analysis

Cited by 169

A computer vision system for deep learning-based detection of patient mobilization activities in the ICU

Yeung, S., Rinaldo, F., Jopling, J., Liu, B., Mehra, R., Downing, N. L., Guo, M., Bianconi, G. M., Alahi, A., Lee, J., et al. (2019) · npj Digital Medicine

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 125

Automatic detection of hand hygiene using computer vision technology

Singh, A., Haque, A., Alahi, A., Yeung, S., Guo, M., Glassman, J. R., Beninati, W., Platchek, T., Fei-Fei, L., & Milstein, A. (2020) · Journal of the American Medical Informatics Association

Infection Control in HealthcareHand Gesture Recognition Systems

Cited by 61

Ethical and legal aspects of ambient intelligence in hospitals

Gerke, S., Yeung, S., & Cohen, I. G. (2020) · JAMA

Artificial Intelligence in Healthcare and EducationHealthcare Technology and Patient Monitoring

Cited by 57

DataPerf: Benchmarks for Data-Centric AI Development

Mazumder, M., Banbury, C., Yao, X., Karlaš, B., Rojas, W. G., Diamos, S., Diamos, G., He, L., Parrish, A., Kirk, H. R., et al. (2023) · Advances in Neural Information Processing Systems 36

Advanced Database Systems and QueriesScientific Computing and Data Management

Cited by 5