A computational prediction method based on modified U-Net for cell distribution in tumor microenvironment. - Chang Bian; Yu Wang; Yu An; Hanfan Wang; Yang Du; Jie Tian 001 (Digital Pathology, 2021)

A Novel Adaptive Parameter Search Elastic Net Method for Fluorescent Molecular Tomography. - Hanfan Wang; Chang Bian; Lingxin Kong; Yu An; Yang Du; Jie Tian 001 (IEEE Trans. Medical Imaging, 2021)

Graph convolution based residual connected network for morphological reconstruction in fluorescence molecular tomography. - Yu Wang; Chang Bian; Yu An; Hanfan Wang; Qian Liang; Yang Du; Jie Tian 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

A deep learning-based computational prediction model for characterizing cellular biomarker distribution in tumor microenvironment. - Zhengyao Peng; Chang Bian; Yang Du; Jie Tian 001 (Digital and Computational Pathology, 2022)

A Fast and Automated FMT/XCT Reconstruction Strategy Based on Standardized Imaging Space. - Yu An; Chang Bian; Daxiang Yan; Hanfan Wang; Yu Wang; Yang Du; Jie Tian 001 (IEEE Trans. Medical Imaging, 2022)

A transformer-based computational approach for H&E to multiplexed immunohistochemistry stain translation. - Chang Bian; Tim Cootes; Martin Fergie (Digital and Computational Pathology, 2023)

HEMIT: H&E to Multiplex-Immunohistochemistry Image Translation with Dual-Branch Pix2pix Generator. - Chang Bian; Beth Phillips; Tim Cootes; Martin Fergie (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

HEMIT: H&E to Multiplex-immunohistochemistry Image Translation with Dual-Branch Pix2pix Generator. - Chang Bian; Beth Philips; Tim Cootes; Martin Fergie (CoRR, 2024)

Deep Learning-based Alignment Measurement in Knee Radiographs. - Zhisen Hu; Dominic Cullen; Peter Thompson; David Johnson; Chang Bian; Aleksei Tiulpin; Timothy F. Cootes; Claudia Lindner 001 (CoRR, 2025)