Tian, Jie

First-in-human liver-tumour surgery guided by multispectral fluorescence imaging in the visible and near-infrared-I/II windows

Hu, Z., Fang, C., Li, B., Zhang, Z., Cao, C., Cai, M., Su, S., Sun, X., Shi, X., Li, C., et al. (2019) · Nature Biomedical Engineering

Optical Imaging and Spectroscopy TechniquesSpectroscopy Techniques in Biomedical and Chemical Research

Cited by 1,126

Microstructure Abnormalities in Adolescents with Internet Addiction Disorder

Yuan, K., Qin, W., Wang, G., Zeng, F., Zhao, L., Yang, X., Liu, P., Liu, J., Sun, J., von Deneen, K. M., et al. (2011) · PLoS ONE

Impact of Technology on AdolescentsSexuality, Behavior, and Technology

Cited by 367

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

A phosphorescent probe for in vivo imaging in the second near-infrared window

Chang, B., Li, D., Ren, Y., Qu, C., Shi, X., Liu, R., Liu, H., Tian, J., Hu, Z., Sun, T., et al. (2021) · Nature Biomedical Engineering

Nanoplatforms for cancer theranosticsQuantum Dots Synthesis And Properties

Cited by 195

Cortical Thickness Abnormalities in Late Adolescence with Online Gaming Addiction

Yuan, K., Cheng, P., Dong, T., Bi, Y., Xing, L., Yu, D., Zhao, L., Dong, M., von Deneen, K. M., Liu, Y., et al. (2013) · PLoS ONE

Impact of Technology on AdolescentsGambling Behavior and Treatments

Cited by 185

Frontostriatal circuits, resting state functional connectivity and cognitive control in internet gaming disorder

Yuan, K., Yu, D., Cai, C., Feng, D., Li, Y., Bi, Y., Liu, J., Zhang, Y., Jin, C., Li, L., et al. (2017) · Addiction Biology

Impact of Technology on AdolescentsGambling Behavior and Treatments

Cited by 153

Craving correlates with mesolimbic responses to heroin-related cues in short-term abstinence from heroin: an event-related fMRI study

Li, Q., Wang, Y., Zhang, Y., Li, W., Yang, W., Zhu, J., Wu, N., Chang, H., Zheng, Y., Qin, W., et al. (2012) · Brain Research

Neurotransmitter Receptor Influence on BehaviorSubstance Abuse Treatment and Outcomes

Cited by 133

Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study

Gu, J., Tong, T., He, C., Xu, M., Yang, X., Tian, J., Jiang, T., & Wang, K. (2022) · European Radiology

Radiomics and Machine Learning in Medical ImagingMRI in cancer diagnosis

Cited by 126

The implication of frontostriatal circuits in young smokers: a resting-state study

Yuan, K., Yu, D., Bi, Y., Li, Y., Guan, Y., Liu, J., Zhang, Y., Qin, W., Lu, X., & Tian, J. (2016) · Human Brain Mapping

Functional Brain Connectivity StudiesSmoking Behavior and Cessation

Cited by 97

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

Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study

She, Y., He, B., Wang, F., Zhong, Y., Wang, T., Liu, Z., Yang, M., Yu, B., Deng, J., Sun, X., et al. (2022) · eBioMedicine

Radiomics and Machine Learning in Medical ImagingAI in cancer detection

Cited by 91

Deep learning radiomics based on contrast-enhanced ultrasound images for assisted diagnosis of pancreatic ductal adenocarcinoma and chronic pancreatitis

Tong, T., Gu, J., Xu, D., Song, L., Zhao, Q., Cheng, F., Yuan, Z., Tian, S., Yang, X., Tian, J., et al. (2022) · BMC Medicine

Radiomics and Machine Learning in Medical ImagingAI in cancer detection

Cited by 77

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

White matter degeneration in subjective cognitive decline: a diffusion tensor imaging study

Li, X.-Y., Tang, Z.-C., Sun, Y., Tian, J., Liu, Z.-Y., & Han, Y. (2016) · Oncotarget

Dementia and Cognitive Impairment ResearchAdvanced Neuroimaging Techniques and Applications

Cited by 65

Comparison between the indocyanine green fluorescence and blue dye methods for sentinel lymph node biopsy using novel fluorescence image-guided resection equipment in different types of hospitals

He, K., Chi, C., Kou, D., Huang, W., Wu, J., Wang, Y., He, L., Ye, J., Mao, Y., Zhang, G.-J., et al. (2016) · Translational Research

Optical Imaging and Spectroscopy TechniquesBreast Lesions and Carcinomas

Cited by 46

Development and Validation of a Deep Learning Model to Screen for Trisomy 21 During the First Trimester from Nuchal Ultrasonographic Images

Zhang, L., Dong, D., Sun, Y., Hu, C., Sun, C., Wu, Q., & Tian, J. (2022) · JAMA Network Open

Prenatal Screening and DiagnosticsArtificial Intelligence in Healthcare and Education

Cited by 42

Intra-regional and inter-regional abnormalities and cognitive control deficits in young adult smokers

Feng, D., Yuan, K., Li, Y., Cai, C., Yin, J., Bi, Y., Cheng, J., Guan, Y., Shi, S., Yu, D., et al. (2016) · Brain Imaging and Behavior

Functional Brain Connectivity StudiesSmoking Behavior and Cessation

Cited by 34

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

Adaptive fixed-time stabilization for a class of nonlinear uncertain systems

Zhao, Y., Yao, J., Tian, J., & Yu, J. (2023) · Mathematical Biosciences and Engineering

Adaptive Control of Nonlinear SystemsStability and Control of Uncertain Systems

Cited by 9