Liu, Zhenyu

Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study

Feng, L., Liu, Z., Li, C., Li, Z., Lou, X., Shao, L., Wang, Y., Huang, Y., Chen, H., Pang, X., et al. (2022) · The Lancet Digital Health

Radiomics and Machine Learning in Medical ImagingColorectal Cancer Surgical Treatments

Cited by 339

Effects of acarbose on cardiovascular and diabetes outcomes in patients with coronary heart disease and impaired glucose tolerance (ACE): a randomised, double-blind, placebo-controlled trial

Holman, R. R., Coleman, R. L., Chan, J. C. N., Chiasson, J.-L., Feng, H., Ge, J., Gerstein, H. C., Gray, R., Huo, Y., Lang, Z., et al. (2017) · The Lancet Diabetes & Endocrinology

Diabetes Treatment and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 323

High-Performance FPGA-Based CNN Accelerator With Block-Floating-Point Arithmetic

Lian, X., Liu, Z., Song, Z., Dai, J., Zhou, W., & Ji, X. (2019) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

Cited by 162

Multiparametric MRI and Whole Slide Image-Based Pretreatment Prediction of Pathological Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer: A Multicenter Radiopathomic Study

Shao, L., Liu, Z., Feng, L., Lou, X., Li, Z., Zhang, X.-Y., Wan, X., Zhou, X., Sun, K., Zhang, D.-F., et al. (2020) · Annals of Surgical Oncology

Radiomics and Machine Learning in Medical ImagingMRI in cancer diagnosis

Cited by 92

Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study

Wu, Q., Yao, K., Liu, Z., Li, L., Zhao, X., Wang, S., Shang, H., Lin, Y., Wen, Z., Zhang, X., et al. (2019) · EBioMedicine

Maternal and fetal healthcareRadiomics and Machine Learning in Medical Imaging

Cited by 69

Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer：A multicenter study

Li, B., Li, F., Liu, Z., Xu, F., Ye, G., Li, W., Zhang, Y., Zhu, T., Shao, L., Chen, C., et al. (2022) · The Breast

AI in cancer detectionBreast Cancer Treatment Studies

Cited by 48

A two-center radiomic analysis for differentiating major depressive disorder using multi-modality MRI data under different parcellation methods

Sun, K., Liu, Z., Chen, G., Zhou, Z., Zhong, S., Tang, Z., Wang, S., Zhou, G., Zhou, X., Shao, L., et al. (2022) · Journal of Affective Disorders

Functional Brain Connectivity StudiesTreatment of Major Depression

Cited by 28