Hybrid Optimization Method (HOM) Reconstruction with limited angle in Dual Energy Breast CT. - Temitope Emmanuel Komolafe; Cheng Zhang; Ming Li; Qiang Du; Jian Zheng 001; Xiaodong Yang 005 (EMBC, 2019)

Smoothed L0-Constraint Dictionary Learning for Low-Dose X-Ray CT Reconstruction. - Temitope Emmanuel Komolafe; Kang Wang; Qiang Du; Tao Hu; Gang Yuan; Jian Zheng 001; Cheng Zhang; Ming Li; Xiaodong Yang 005 (IEEE Access, 2020)

DPDudoNet: Deep-Prior Based Dual-Domain Network for Low-Dose Computed Tomography Reconstruction. - Temitope Emmanuel Komolafe; Yuhang Sun; Nizhuan Wang 001; Kaicong Sun; Guohua Cao; Dinggang Shen (MLMIR@MICCAI, 2022)

Comparison of Diagnostic Test Accuracy of Cone-Beam Breast Computed Tomography and Digital Breast Tomosynthesis for Breast Cancer: A Systematic Review and Meta-Analysis Approach. - Temitope Emmanuel Komolafe; Cheng Zhang; Oluwatosin Atinuke Olagbaju; Gang Yuan; Qiang Du; Ming Li; Jian Zheng 001; Xiaodong Yang 005 (Sensors, 2022)

EDRAM-Net: Encoder-Decoder with Residual Attention Module Network for Low-dose Computed Tomography Reconstruction. - Temitope Emmanuel Komolafe; Liang Zhou; Wenlong Zhao 016; Nizhuan Wang 001; Tao Wu 003 (EMBC, 2024)

Learning bayesian network parameters from limited data by integrating entropy and monotonicity. - Zhiping Fan; Liang Zhou; Temitope Emmanuel Komolafe; Zhengyun Ren; Yinghao Tong; Xue Feng (Knowl. Based Syst., 2024)

Comparative analysis of cone-beam breast computed tomography and digital breast tomosynthesis for breast cancer diagnosis: A comprehensive study on reconstruction algorithms. - Temitope Emmanuel Komolafe; Yuchi Tian; Olanrewaju James Awoniya; Shuangqing Chen; Xiaodong Yang 005 (Int. J. Imaging Syst. Technol., 2024)

MDUNet: deep-prior unrolling network with multi-parameter data integration for low-dose computed tomography reconstruction. - Temitope Emmanuel Komolafe; Nizhuan Wang 001; Yuchi Tian; Adegbola Oyedotun Adeniji; Liang Zhou (Mach. Vis. Appl., 2024)

Adaptive weighted stacking model with optimal weights selection for mortality risk prediction in sepsis patients. - Liang Zhou; Wenjin Li; Tao Wu 003; Zhiping Fan; Levent Ismaili; Temitope Emmanuel Komolafe; Siwen Zhang (Appl. Intell., 2024)

An explicable machine learning approach for predicting 30-day septic mortality for ICU patients. - Liang Zhou; Ruiqian Wu; Shanshan Wang; Temitope Emmanuel Komolafe; Jiachen Guo; Zhiping Fan; Zhiwei Zhang (Int. J. Inf. Commun. Technol., 2025)