Classification Guided Deep Convolutional Network for Compressed Sensing. - Wenxue Cui; Shaohui Liu; Shengping Zhang; Yashu Liu 003; Heyao Xu; Xinwei Gao; Feng Jiang 001; Debin Zhao (ICPR, 2018)

Deep Learning Based Method for Left Atrial Segmentation in GE-MRI. - Yashu Liu 003; Yangyang Dai; Cong Yan; Kuanquan Wang (STACOM@MICCAI, 2018)

A Framework for Left Atrium Segmentation on CT Images with Combined Detection Network and Level Set Model. - Yashu Liu 003; Kuanquan Wang; Gongning Luo; Henggui Zhang (CinC, 2019)

An Automatic Cardiac Segmentation Framework Based on Multi-sequence MR Image. - Yashu Liu 003; Wei Wang 169; Kuanquan Wang; Chengqin Ye; Gongning Luo (STACOM@MICCAI, 2019)

Multimodal Biometric Authentication Systems Using Convolution Neural Network Based on Different Level Fusion of ECG and Fingerprint. - Mohamed Hammad; Yashu Liu 003; Kuanquan Wang (IEEE Access, 2019)

Automatic Segmentation of the Left Atrium from LGE-MRI Based on U-Net and Bidirectional Convolutional LSTM. - Ze Zhang; Kuanquan Wang; Qince Li; Yashu Liu 003; Yongfeng Yuan; Yacong Li; Henggui Zhang (CinC, 2020)

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. - Zhaohan Xiong; Qing Xia 002; Zhiqiang Hu; Ning Huang; Cheng Bian; Yefeng Zheng 001; Sulaiman Vesal; Nishant Ravikumar; Andreas K. Maier; Xin Yang 009; Pheng-Ann Heng; Dong Ni 001; et al. (CoRR, 2020)

A contrastive consistency semi-supervised left atrium segmentation model. - Yashu Liu 003; Wei Wang 169; Gongning Luo; Kuanquan Wang; Shuo Li 001 (Comput. Medical Imaging Graph., 2022)

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. - Xiahai Zhuang; Jiahang Xu; Xinzhe Luo; Chen Chen 042; Cheng Ouyang; Daniel Rueckert; Víctor M. Campello; Karim Lekadir; Sulaiman Vesal; Nishant Ravikumar; Yashu Liu 003; Gongning Luo; et al. (Medical Image Anal., 2022)

Unsupervised Decomposition Networks for Bias Field Correction in MR Image. - Dong Liang 001; Xingyu Qiu; Kuanquan Wang; Gongning Luo; Wei Wang 169; Yashu Liu 003 (CoRR, 2023)