Glioma Segmentation With a Unified Algorithm in Multimodal MRI Images. - Qingneng Li; Zhifan Gao; Qiuyu Wang; Jun Xia 002; Heye Zhang; Huailing Zhang; Huafeng Liu 003; Shuo Li 001 (IEEE Access, 2018)

Simultaneous Classification and Segmentation of Intracranial Hemorrhage Using a Fully Convolutional Neural Network. - Danfeng Guo; Haihua Wei; Pengfei Zhao; Yue Pan; Hao-Yu Yang; Xin Wang 045; Junjie Bai; Kunlin Cao; Qi Song 001; Jun Xia 002; Feng Gao; Youbing Yin (ISBI, 2020)

Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images. - Shaoping Hu; Yuan Gao 017; Zhangming Niu; Yinghui Jiang; Lao Li; Xianglu Xiao; Minhao Wang; Evandro Fei Fang; Wade Menpes-Smith; Jun Xia 002; Hui Ye; Guang Yang 006 (IEEE Access, 2020)

Learning tree-structured representation for 3D coronary artery segmentation. - Bin Kong 001; Xin Wang 045; Junjie Bai; Yi Lu 019; Feng Gao; Kunlin Cao; Jun Xia 002; Qi Song 001; Youbing Yin (Comput. Medical Imaging Graph., 2020)

Cerebrovascular segmentation from TOF-MRA using model- and data-driven method via sparse labels. - Baochang Zhang 003; Shuting Liu; Shoujun Zhou; Jian Yang 009; Cheng Wang; Na Li; Zonghan Wu; Jun Xia 002 (Neurocomputing, 2020)

Explainable AI for COVID-19 CT Classifiers: An Initial Comparison Study. - Qinghao Ye; Jun Xia 002; Guang Yang 006 (CBMS, 2021)

Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information. - Jiahao Huang; Weiping Ding 001; Jun Lv; Jingwen Yang; Hao Dong 003; Javier Del Ser; Jun Xia 002; Tiaojuan Ren; Stephen Wong; Guang Yang 006 (Appl. Intell., 2022)

Robust weakly supervised learning for COVID-19 recognition using multi-center CT images. - Qinghao Ye; Yuan Gao 017; Weiping Ding 001; Zhangming Niu; Chengjia Wang; Yinghui Jiang; Minhao Wang; Evandro Fei Fang; Wade Menpes-Smith; Jun Xia 002; Guang Yang 006 (Appl. Soft Comput., 2022)

AI-based Medical e-Diagnosis for Fast and Automatic Ventricular Volume Measurement in the Patients with Normal Pressure Hydrocephalus. - Xi Zhou; Qinghao Ye; Xiaolin Yang; Jiakuan Chen; Haiqin Ma; Jun Xia 002; Javier Del Ser; Guang Yang 006 (CoRR, 2022)

Swin transformer for fast MRI. - Jiahao Huang; Yingying Fang; Yinzhe Wu 001; Huanjun Wu; Zhifan Gao; Yang Li 010; Javier Del Ser; Jun Xia 002; Guang Yang 006 (Neurocomputing, 2022)

Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond. - Guang Yang 006; Qinghao Ye; Jun Xia 002 (Inf. Fusion, 2022)

A Physics-Guided Deep Learning Approach for Functional Assessment of Cardiovascular Disease in IoT-Based Smart Health. - Dong Zhang 012; Xiujian Liu; Jun Xia 002; Zhifan Gao; Heye Zhang; Victor Hugo C. de Albuquerque (IEEE Internet Things J., 2023)

Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels. - Ming Li 005; Yingying Fang; Zeyu Tang 001; Chibudom Onuorah; Jun Xia 002; Javier Del Ser; Simon Walsh; Guang Yang 006 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Annotation-Efficient COVID-19 Pneumonia Lesion Segmentation Using Error-Aware Unified Semisupervised and Active Learning. - Zhenghan Fang; Junjie Bai; Xinyu Guo; Xin Wang 045; Feng Gao; Hao-Yu Yang; Bin Kong 001; Ying Hou; Kunlin Cao; Qi Song 001; Jun Xia 002; Youbing Yin (IEEE Trans. Artif. Intell., 2023)

AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalus. - Xi Zhou; Qinghao Ye; Xiaolin Yang; Jiakun Chen; Haiqin Ma; Jun Xia 002; Javier Del Ser; Guang Yang 006 (Neural Comput. Appl., 2023)

HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis. - Xiaodan Xing; Javier Del Ser; Yinzhe Wu 001; Yang Li 010; Jun Xia 002; Lei Xu 037; David N. Firmin; Peter Gatehouse; Guang Yang 006 (IEEE J. Biomed. Health Informatics, 2023)

Customized T-time inner sampling network with uncertainty-aware data augmentation strategy for multi-annotated lesion segmentation. - Xi Zhou; Xinxin Wang; Haiqin Ma; Jianjian Zhang; Xiaomei Wang; Xiuxiu Bai; Li Zhang; Jia Long; Jiakuan Chen; Hongbo Le; Wenjie He; Shen Zhao; et al. (Comput. Biol. Medicine, 2024)