Zhangsheng Yu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Convolutional Neural Network

Artificial Intelligence

Top Venues

Biometrical journal. Biometrische Zeitschrift

Journal of translational medicine

Nature communications

Statistics in medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Xin Yuan, Yanran Ma, Ruitian Gao, Shuya Cui, Yifan Wang, Botao Fa, Shiyang Ma, Ting Wei, Shuangge Ma, Zhangsheng Yu
HEARTSVG: a fast and accurate method for identifying spatially variable genes in large-scale spatial transcriptomics. Nature communications 15 (1) (2024)
Xiaohan Chi, Ying Yuan, Zhangsheng Yu, Ruitao Lin
A generalized calibrated Bayesian hierarchical modeling approach to basket trials with multiple endpoints. Biometrical journal. Biometrische Zeitschrift 66 (2) (2024)
Xiaohan Chi, Ying Yuan, Zhangsheng Yu, Ruitao Lin
A generalized calibrated Bayesian hierarchical modeling approach to basket trials with multiple endpoints. Biometrical journal. Biometrische Zeitschrift 66 (2) (2024)
Yifan Wang, Ruitian Gao, Ting Wei, Luke Johnston, Xin Yuan, Yue Zhang, Zhangsheng Yu, null null
Predicting long-term progression of Alzheimer's disease using a multimodal deep learning model incorporating interaction effects. Journal of translational medicine 22 (1) (2024)
Yujia Xia, Jie Zhou, Xiaolei Xun, Jin Zhang, Ting Wei, Ruitian Gao, Bobby Reddy, Chao Liu, Geoffrey Kim, Zhangsheng Yu
CT-based multimodal deep learning for non-invasive overall survival prediction in advanced hepatocellular carcinoma patients treated with immunotherapy. Insights into imaging 15 (1) (2024)
Xin Yuan, Yanran Ma, Ruitian Gao, Shuya Cui, Yifan Wang, Botao Fa, Shiyang Ma, Ting Wei, Shuangge Ma, Zhangsheng Yu
HEARTSVG: a fast and accurate method for identifying spatially variable genes in large-scale spatial transcriptomics. Nature communications 15 (1) (2024)
Yifan Wang, Ruitian Gao, Ting Wei, Luke Johnston, Xin Yuan, Yue Zhang, Zhangsheng Yu, null null
Predicting long-term progression of Alzheimer's disease using a multimodal deep learning model incorporating interaction effects. Journal of translational medicine 22 (1) (2024)
Xiaohan Chi, Ying Yuan, Zhangsheng Yu, Ruitao Lin
A generalized calibrated Bayesian hierarchical modeling approach to basket trials with multiple endpoints. Biometrical journal. Biometrische Zeitschrift 66 (2) (2024)
Yujia Xia, Jie Zhou, Xiaolei Xun, Jin Zhang, Ting Wei, Ruitian Gao, Bobby Reddy, Chao Liu, Geoffrey Kim, Zhangsheng Yu
CT-based multimodal deep learning for non-invasive overall survival prediction in advanced hepatocellular carcinoma patients treated with immunotherapy. Insights into imaging 15 (1) (2024)
Yujia Xia, Jie Zhou, Xiaolei Xun, Jin Zhang, Ting Wei, Ruitian Gao, Bobby Reddy, Chao Liu, Geoffrey Kim, Zhangsheng Yu
CT-based multimodal deep learning for non-invasive overall survival prediction in advanced hepatocellular carcinoma patients treated with immunotherapy. Insights into imaging 15 (1) (2024)
Yifan Wang, Ruitian Gao, Ting Wei, Luke Johnston, Xin Yuan, Yue Zhang, Zhangsheng Yu, null null
Predicting long-term progression of Alzheimer's disease using a multimodal deep learning model incorporating interaction effects. Journal of translational medicine 22 (1) (2024)
Jie Zhou, Yujia Xia, Xiaolei Xun, Zhangsheng Yu
Deep Learning-Based Detect-Then-Track Pipeline for Treatment Outcome Assessments in Immunotherapy-Treated Liver Cancer. Journal of imaging informatics in medicine (2024)
Xiaohan Chi, Ying Yuan, Zhangsheng Yu, Ruitao Lin
A generalized calibrated Bayesian hierarchical modeling approach to basket trials with multiple endpoints. Biometrical journal. Biometrische Zeitschrift 66 (2) (2024)
Xin Yuan, Yanran Ma, Ruitian Gao, Shuya Cui, Yifan Wang, Botao Fa, Shiyang Ma, Ting Wei, Shuangge Ma, Zhangsheng Yu
HEARTSVG: a fast and accurate method for identifying spatially variable genes in large-scale spatial transcriptomics. Nature communications 15 (1) (2024)
Yifan Wang, Ruitian Gao, Ting Wei, Luke Johnston, Xin Yuan, Yue Zhang, Zhangsheng Yu, null null
Predicting long-term progression of Alzheimer's disease using a multimodal deep learning model incorporating interaction effects. Journal of translational medicine 22 (1) (2024)
Xiaohan Chi, Zhangsheng Yu, Ruitao Lin
BOB: Bayesian optimal design for biosimilar trials with co-primary endpoints. Statistics in medicine 41 (26) (2022)
Ting Wei, Xin Yuan, Ruitian Gao, Luke Johnston, Jie Zhou, Yifan Wang, Weiming Kong, Yujing Xie, Yue Zhang, Dakang Xu, Zhangsheng Yu
Survival prediction of stomach cancer using expression data and deep learning models with histopathological images. Cancer science (2022)
Botao Fa, Ting Wei, Yuan Zhou, Luke Johnston, Xin Yuan, Yanran Ma, Yue Zhang, Zhangsheng Yu
GapClust is a light-weight approach distinguishing rare cells from voluminous single cell expression profiles. Nature communications 12 (1) (2021)
Yujing Xie, Zhangsheng Yu
Promotion time cure rate model with a neural network estimated nonparametric component. Statistics in medicine 40 (15) (2021)
Xiaowei Ren, Shanshan Li, Changyu Shen, Zhangsheng Yu
Linear and nonlinear variable selection in competing risks data. Statistics in medicine 37 (13) (2018)