Guan, Yuanfang

Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging

Al’Aref, S. J., Anchouche, K., Singh, G., Slomka, P. J., Kolli, K. K., Kumar, A., Pandey, M., Maliakal, G., van Rosendael, A. R., Beecy, A. N., et al. (2019) · European Heart Journal

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 534

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

Cited by 409

A critical assessment of Mus musculusgene function prediction using integrated genomic evidence

Peña-Castillo, L., Tasan, M., Myers, C. L., Lee, H., Joshi, T., Zhang, C., Guan, Y., Leone, M., Pagnani, A., Kim, W. K., et al. (2008) · Genome Biology

Bioinformatics and Genomic NetworksGenomics and Phylogenetic Studies

Cited by 248

Machine learning to predict anti-tumor necrosis factor drug responses of rheumatoid arthritis patients by integrating clinical and genetic markers

Guan, Y., Zhang, H., Quang, D., Wang, Z., Parker, S. C. J., Pappas, D. A., Kremer, J. M., & Zhu, F. (2019) · Arthritis & Rheumatology

Rheumatoid Arthritis Research and TherapiesAutoimmune and Inflammatory Disorders Research

Cited by 137

Benchmarked approaches for reconstruction of in vitro cell lineages and in silico models of C. elegans and M. musculus developmental trees

Gong, W., Granados, A. A., Hu, J., Jones, M. G., Raz, O., Salvador-Martínez, I., Zhang, H., Chow, K.-H. K., Kwak, I.-Y., Retkute, R., et al. (2021) · Cell Systems

Single-cell and spatial transcriptomicsDevelopmental Biology and Gene Regulation

Cited by 62

Assessment of the timeliness and robustness for predicting adult sepsis

Guan, Y., Wang, X., Chen, X., Yi, D., Chen, L., & Jiang, X. (2021) · iScience

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 7

Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study (Preprint)

Zhang, B., Deng, K., Shen, J., Cai, L., Ratitch, B., Fu, H., & Guan, Y. (2021) · Journal of Medical Internet Research

Context-Aware Activity Recognition SystemsMobile Health and mHealth Applications

Cited by 5

Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study

Zhang, B., Deng, K., Shen, J., Cai, L., Ratitch, B., Fu, H., & Guan, Y. (2022) · Journal of Medical Internet Research

Context-Aware Activity Recognition SystemsMobile Health and mHealth Applications

Cited by 5

Leopard: fast decoding cell type-specific transcription factor binding landscape at single-nucleotide resolution

Li, H., & Guan, Y. (2019) · bioRxiv (Cold Spring Harbor Laboratory)

Genomics and Chromatin DynamicsMachine Learning in Bioinformatics

Cited by 3