aPCoA: covariate adjusted principal coordinates analysis. - Yushu Shi; Liangliang Zhang; Kim-Anh Do; Christine B. Peterson; Robert R. Jenq (Bioinform., 2020)

ProgPerm: Progressive permutation for a dynamic representation of the robustness of microbiome discoveries. - Liangliang Zhang; Yushu Shi; Kim-Anh Do; Christine B. Peterson; Robert R. Jenq (BMC Bioinform., 2021)

The Conditional Prediction Function: A Novel Technique to Control False Discovery Rate for Complex Models. - Yushu Shi; Michael Martens (CoRR, 2023)

Uncertainty-aware prototypical learning for anomaly detection in medical images. - Chao Huang 008; Yushu Shi; Bob Zhang 001; Ke Lyu (Neural Networks, 2024)

Target Fitting Method for Spherical Point Clouds Based on Projection Filtering and K-Means Clustered Voxelization. - Zhe Wang; Jiacheng Hu; Yushu Shi; Jinhui Cai; Lei Pi (Sensors, 2024)

Dynamic radiomics based on contrast-enhanced MRI for predicting microvascular invasion in hepatocellular carcinoma. - Rui Zhang; Yao Wang; Zhi Li; Yushu Shi; Danping Yu; Qiang Huang; Feng Chen; Wenbo Xiao; Yuan Hong 004; Zhan Feng (BMC Medical Imaging, 2024)

Multi-view Evidential Learning-based Medical Image Segmentation. - Chao Huang 008; Yushu Shi; Waikeung Wong; Chengliang Liu 003; Wei Wang 169; Zhihua Wang 002; Jie Wen 001 (AAAI, 2025)

CAT: a conditional association test for microbiome data using a permutation approach. - Yushu Shi; Liangliang Zhang; Kim-Anh Do; Robert R. Jenq; Christine B. Peterson (Briefings Bioinform., 2025)

MRI radiomics model for predicting tumor immune microenvironment types and efficacy of anti-PD-1/PD-L1 therapy in hepatocellular carcinoma. - Rui Zhang; Wei Peng; Yao Wang; Yunping Jiang; Junli Wang; Siying Zhang; Zhi Li; Yushu Shi; Feng Chen; Zhan Feng; Wenbo Xiao (BMC Medical Imaging, 2025)