Bacterial foraging algorithm-based optimisation for controlling conditioner temperature of a ring die granulator. - Kun Zhang 010; Peijian Zhang; Jianguo Wu; Hossein Farid Ghassem Nia; Huiyu Zhou 001 (Int. J. Model. Identif. Control., 2014)

Using entropy based mean shift filter and modified watershed transform for grain segmentation. - Kun Zhang 010; Minrui Fei; Huiyu Zhou 001 (Int. J. Autom. Comput., 2015)

Multi-scale Colorectal Tumour Segmentation Using a Novel Coarse to Fine Strategy. - Kun Zhang 010; Danny Crookes; Jim Diamond; Minrui Fei; Jianguo Wu; Peijian Zhang; Huiyu Zhou 001 (BMVC, 2016)

Research on Cigarette Filter Rod Counting System Based on Machine Vision. - Hongjun Qu; Peijian Zhang; Kun Zhang 010; Jianguo Wu (LSMS/ICSEE (1), 2017)

A Novel Memory Gradient Based for Efficient Image Segmentation. - Kun Zhang 010; Jianguo Wu; Peijian Zhang (LSMS/ICSEE (1), 2017)

A Novel Segmentation Framework Using Sparse Random Feature in Histology Images of Colon Cancer. - Kun Zhang 010; Huiyu Zhou 001; Li Chen; Minrui Fei; Jianguo Wu; Peijian Zhang (LSMS/ICSEE (1), 2017)

Automatic Measurement of Blood Vessel Angles in Immunohistochemical Images of Liver Cancer. - Hongbin Zhang 004; Kun Zhang 010; Li Chen; Jianguo Wu; Peijian Zhang; Huiyu Zhou 001 (LSMS/ICSEE (1), 2017)

A Novel Method For Unsupervised Scanner-Invariance Using A Dual-Channel Auto-Encoder Model. - Andrew D. Moyes; Kun Zhang 010; Liping Wang; Ming Ji; Danny Crookes; Huiyu Zhou 001 (BMVC, 2018)

Fault Diagnosis and Analysis of Marine Filter Based on SOM Network. - Kan Xu; Kun Zhang 010; Jianguo Wu (RICAI, 2019)

Zebrafish Embryo Vessel Segmentation Using a Novel Dual ResUNet Model. - Kun Zhang 010; Hongbin Zhang 004; Huiyu Zhou 001; Danny Crookes; Ling Li 010; Yeqin Shao; Dong Liu 010 (Comput. Intell. Neurosci., 2019)

Poorly Differentiated Colorectal Gland Segmentation Approach Based on Internal and External Stress in Histology Images. - JunHong Fu; Kun Zhang 010; Peijian Zhang (ICCCS, 2020)

Batch Target Recognition Count under Complex Conditions Based on Att-Unet. - PengPeng Jiang; Kun Zhang 010; Peijian Zhang; Ping Lu (ICCCS, 2020)

Unsupervised Deep Learning for Stain Separation and Artifact Detection in Histopathology Images. - Andrew D. Moyes; Kun Zhang 010; Ming Ji; Huiyu Zhou 001; Danny Crookes (MIUA, 2020)

Multiple Morphological Constraints-Based Complex Gland Segmentation in Colorectal Cancer Pathology Image Analysis. - Kun Zhang 010; JunHong Fu; Liang Hua; Peijian Zhang; Yeqin Shao; Sheng Xu; Huiyu Zhou 001; Li Chen; Jing Wang (Complex., 2020)

Towards advancing the earthquake forecasting by machine learning of satellite data. - Pan Xiong; Lei Tong; Kun Zhang 010; Xuhui Shen; Roberto Battiston; Dimitar Ouzounov; Roberto Iuppa; Danny Crookes; Cheng Long 001; Huiyu Zhou 001 (CoRR, 2021)

Multi-Channel Auto-Encoders and a Novel Dataset for Learning Domain Invariant Representations of Histopathology Images. - Andrew D. Moyes; Richard Gault; Kun Zhang 010; Ji Ming; Danny Crookes; Jing Wang (CoRR, 2021)

Multi-Scale Deep Information and Adaptive Attention Mechanism Based Coronary Reconstruction of Superior Mesenteric Artery. - Kun Zhang 010; Yu Han; Peixia Xu; Meirong Wang; Jushun Yang; Pengcheng Lin; Danny Crookes; Bosheng He; Liang Hua (IEEE Access, 2023)

Multi-channel auto-encoders for learning domain invariant representations enabling superior classification of histopathology images. - Andrew D. Moyes; Richard Gault; Kun Zhang 010; Ji Ming; Danny Crookes; Jing Wang (Medical Image Anal., 2023)

DeepmdQCT: A multitask network with domain invariant features and comprehensive attention mechanism for quantitative computer tomography diagnosis of osteoporosis. - Kun Zhang 010; Pengcheng Lin; Jing Pan; Rui Shao; Pei-Xia Xu; Rui Cao; Cheng-Gang Wu; Danny Crookes; Liang Hua; Lin Wang 080 (Comput. Biol. Medicine, 2024)

APG-DPNet: A dual-path network with anatomical priors for perigastric veins segmentation and varicosity quantification. - Kun Zhang 010; Chenggang Wu; Wenkai Wei; Fengxiu Yan; Lin Wang 080; Peijian Zhang; Liang Hua; Lei Cui (Neurocomputing, 2025)