Towards high-throughput mouse embryonic phenotyping: a novel approach to classifying ventricular septal defects. - Xi Liang 006; Zhongliu Xie; Masaru Tamura; Toshihiko Shiroishi; Asanobu Kitamoto (Image Processing, 2015)

A general-purpose framework for FPGA-accelerated genetic algorithms. - Liucheng Guo; Andreea-Ingrid Funie; Zhongliu Xie; David B. Thomas; Wayne Luk (Int. J. Bio Inspired Comput., 2015)

Non-rigid registration and robust principal component analysis with variation priors: A high-throughput mouse phenotyping approach. - Zhongliu Xie; Asanobu Kitamoto; Masaru Tamura; Toshihiko Shiroishi; Duncan Gillies (ISBI, 2016)

Patch forest: a hybrid framework of random forest and patch-based segmentation. - Zhongliu Xie; Duncan Gillies (Image Processing, 2016)

High-throughput mouse phenotyping using non-rigid registration and robust principal component analysis. - Zhongliu Xie; Asanobu Kitamoto; Masaru Tamura; Toshihiko Shiroishi; Duncan Gillies (Image Processing, 2016)

Machine learning for efficient recognition of anatomical structures and abnormalities in biomedical images. - Zhongliu Xie (2016)

Near Real-time Hippocampus Segmentation Using Patch-based Canonical Neural Network. - Zhongliu Xie; Duncan Gillies (CoRR, 2018)

Towards Single-phase Single-stage Detection of Pulmonary Nodules in Chest CT Imaging. - Zhongliu Xie (CoRR, 2018)