A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction. - Menglu Li; Yanan Wang 003; Fuyi Li; Yun Zhao 004; Mengya Liu; Sijia Zhang; Yannan Bin; Alexander Ian Smith; Geoffrey I. Webb; Jian Li 052; Jiangning Song; Junfeng Xia (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

HEAL: an automated deep learning framework for cancer histopathology image analysis. - Yanan Wang 003; Nicolas Coudray; Yun Zhao 004; Fuyi Li; Changyuan Hu; Yao-Zhong Zhang; Seiya Imoto; Aristotelis Tsirigos; Geoffrey I. Webb; Roger J. Daly; Jiangning Song (Bioinform., 2021)

Space-time resolved inference-based neurophysiological process imaging: Application to resting-state alpha rhythm. - Yun Zhao 004; Mario Boley; Andria Pelentritou; Philippa J. Karoly; Dean R. Freestone; Yueyang Liu; Suresh D. Muthukumaraswamy; William Woods; David T. J. Liley; Levin Kuhlmann (NeuroImage, 2022)

Inference-based time-resolved stability analysis of nonlinear whole-cortex modeling: application to Xenon anaesthesia. - Yun Zhao 004; Mario Boley; Andria Pelentritou; William Woods; David T. J. Liley; Levin Kuhlmann (EMBC, 2023)

Brain Model State Space Reconstruction Using an LSTM Neural Network. - Yueyang Liu; Artemio Soto-Breceda; Yun Zhao 004; Phillipa Karoly; Mark J. Cook; David B. Grayden; Daniel Schmidt; Levin Kuhlmann (CoRR, 2023)

Improved Neurophysiological Process Imaging Through Optimization of Kalman Filter Initial Conditions. - Yun Zhao 004; Felix Luong; Simon Teshuva; Andria Pelentritou; William Woods; David T. J. Liley; Daniel F. Schmidt; Mario Boley; Levin Kuhlmann (Int. J. Neural Syst., 2023)

Inference-based time-resolved chaos analysis of brain models: application to focal epilepsy. - Yun Zhao 004; David B. Grayden; Mario Boley; Yueyang Liu; Philippa J. Karoly; Mark J. Cook; Levin Kuhlmann (FUSION, 2024)