Li, Quanzheng

Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer

Ehteshami Bejnordi, B., Veta, M., Johannes van Diest, P., van Ginneken, B., Karssemeijer, N., Litjens, G., van der Laak, J. A. W. M., and the CAMELYON16 Consortium, Hermsen, M., Manson, Q. F., et al. (2017) · JAMA

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 3,293

Federated learning for predicting clinical outcomes in patients with COVID-19

Dayan, I., Roth, H. R., Zhong, A., Harouni, A., Gentili, A., Abidin, A. Z., Liu, A., Costa, A. B., Wood, B. J., Tsai, C.-S., et al. (2021) · Nature Medicine

Machine Learning in HealthcareCOVID-19 diagnosis using AI

Cited by 842

Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success

Thrall, J. H., Li, X., Li, Q., Cruz, C., Do, S., Dreyer, K., & Brink, J. (2018) · Journal of the American College of Radiology

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 710

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge

Bandi, P., Geessink, O., Manson, Q., Van Dijk, M., Balkenhol, M., Hermsen, M., Ehteshami Bejnordi, B., Lee, B., Paeng, K., Zhong, A., et al. (2019) · IEEE Transactions on Medical Imaging

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 569

Personalized iPSC-Derived Dopamine Progenitor Cells for Parkinson’s Disease

Schweitzer, J. S., Song, B., Herrington, T. M., Park, T.-Y., Lee, N., Ko, S., Jeon, J., Cha, Y., Kim, K., Li, Q., et al. (2020) · New England Journal of Medicine

Pluripotent Stem Cells ResearchParkinson's Disease Mechanisms and Treatments

Cited by 542

A generalist vision-language foundation model for diverse biomedical tasks

Zhang, K., Zhou, R., Adhikarla, E., Yan, Z., Liu, Y., Yu, J., Liu, Z., Chen, X., Davison, B. D., Ren, H., et al. (2024) · Nature Medicine

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 333

Treadmill exercise elevates striatal dopamine D2 receptor binding potential in patients with early Parkinson's disease

Fisher, B. E., Li, Q., Nacca, A., Salem, G. J., Song, J., Yip, J., Hui, J. S., Jakowec, M. W., & Petzinger, G. M. (2013) · Neuroreport

Parkinson's Disease Mechanisms and TreatmentsDeep Brain Stimulation and Movement Disorders

Cited by 247

Big data and medical research in China

Zhang, L., Wang, H., Li, Q., Zhao, M.-H., & Zhan, Q.-M. (2018) · BMJ

Big Data Technologies and ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 148

Radiology-GPT: A Large Language Model for Radiology

Liu, Z., Zhong, A., Li, Y., Yang, L., Ju, C., Wu, Z., Ma, C., Shu, P., Chen, C., Kim, S., et al. (2023) · arXiv

Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications

Cited by 59

Multimodal Approaches for Alzheimer’s Detection Using Patients’ Speech and Transcript

Cai, H., Huang, X., Liu, Z., Liao, W., Dai, H., Wu, Z., Zhu, D., Ren, H., Li, Q., Liu, T., et al. (2023) · Lecture Notes in Computer Science

Dementia and Cognitive Impairment ResearchSpeech Recognition and Synthesis

Cited by 22

LiveMedBench: A Contamination-Limited Medical Benchmark for LLMs with Automated Rubric Evaluation

Yan, Z., Song, D., Fang, Z., Ji, Y., Li, X., Li, Q., & Sun, L. (2026) · Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 0