Fine Grain Lung Nodule Diagnosis Based on CT Using 3D Convolutional Neural Network. - Qiuli Wang 001; Jiajia Zhang; Sheng Huang 001; Chen Liu 026; Xiaohong Zhang 002; Dan Yang 001 (PRCV (2), 2019)

MTGAN: Mask and Texture-driven Generative Adversarial Network for Lung Nodule Segmentation. - Wei Chen 090; Qiuli Wang 001; Kun Wang 021; Dan Yang 001; Xiaohong Zhang 002; Chen Liu 026; Yucong Li (ICPR, 2020)

End-to-End Multi-Task Learning for Lung Nodule Segmentation and Diagnosis. - Wei Chen 090; Qiuli Wang 001; Dan Yang 001; Xiaohong Zhang 002; Chen Liu 026; Yucong Li (ICPR, 2020)

Deep Regression via Multi-Channel Multi-Modal Learning for Pneumonia Screening. - Qiuli Wang 001; Dan Yang 001; Zhihuan Li; Xiaohong Zhang 002; Chen Liu 026 (IEEE Access, 2020)

Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images. - Jun Wang 072; Yiming Bao; Yaofeng Wen; Hongbing Lu; Hu Luo; Yunfei Xiang; Xiaoming Li; Chen Liu 026; Dahong Qian (IEEE Trans. Medical Imaging, 2020)

C3D-UNET: A Comprehensive 3D Unet for Covid-19 Segmentation with Intact Encoding and Local Attention. - Yiming Bao; Hexiang Zeng; Chengfeng Zhou; Chen Liu 026; Lichi Zhang; Dahong Qian; Jun Wang 072; Hongbing Lu (EMBC, 2021)

DFDM: A Deep Feature Decoupling Module for Lung Nodule Segmentation. - Wei Chen 090; Qiuli Wang 001; Sheng Huang 001; Xiaohong Zhang 002; Yucong Li; Chen Liu 026 (ICASSP, 2021)

Deepnodule: Multi-Task Learning of Segmentation Bootstrap for Pulmonary Nodule Detection. - Jingqin Li; Kun Wang 021; Dan Yang 001; Xiaohong Zhang 002; Chen Liu 026 (ICASSP, 2021)

A Probabilistic Model for Segmentation of Ambiguous 3D Lung Nodule. - Xiaojiang Long; Wei Chen 090; Qiuli Wang 001; Xiaohong Zhang 002; Chen Liu 026; Yucong Li; Jiuquan Zhang (ICASSP, 2021)

Mmfc: Multi-Modal Fusion Cascade Framework For Covid-19 Disease Course Classification. - Han Yang; Mengke Zhang; Lu Shen; Qiuli Wang 001; Wanqiu Chen; Chen Liu 026; Minjian Hong (ICIP, 2021)

iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients. - Jun Wang 072; Chen Liu 026; Jingwen Li; Cheng Yuan 002; Lichi Zhang; Cheng Jin 005; Jianwei Xu; Yaqi Wang 002; Yaofeng Wen; Hongbing Lu; Biao Li; Chang Chen; et al. (npj Digit. Medicine, 2021)

Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism. - Qiuli Wang 001; Xiaohong Zhang 002; Wei Zhang; Mingchen Gao; Sheng Huang 001; Jian Wang 135; Jiuquan Zhang; Dan Yang 001; Chen Liu 026 (IEEE Trans. Medical Imaging, 2021)

Erratum to "Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism". - Qiuli Wang 001; Xiaohong Zhang 002; Wei Zhang; Mingchen Gao; Sheng Huang 001; Jian Wang 135; Jiuquan Zhang; Dan Yang 001; Chen Liu 026 (IEEE Trans. Medical Imaging, 2021)

Dual Space Multiple Instance Representative Learning for Medical Image Classification. - Xiaoxian Zhang; Sheng Huang 001; Yi Zhang 113; Xiaohong Zhang 002; Mingchen Gao; Chen Liu 026 (BMVC, 2022)

Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window. - Qiuli Wang 001; Xin Tan 002; Lizhuang Ma; Chen Liu 026 (CICAI (1), 2022)

Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window. - Qiuli Wang 001; Xin Tan 002; Chen Liu 026 (CoRR, 2022)

Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation. - Gengxin Xu; Chen Liu 026; Jun Liu 075; Zhongxiang Ding; Feng Shi 001; Man Guo; Wei Zhao 040; Xiaoming Li; Ying Wei 009; Yaozong Gao; Chuan-Xian Ren; Dinggang Shen (IEEE Trans. Medical Imaging, 2022)

Self-Supervised Arbitrary Scale Super-Resolution Framework for Anisotropic MRI. - Haonan Zhang; Yuhan Zhang; Qing Wu 001; Jiangjie Wu; Zhiming Zhen; Feng Shi 001; Jianmin Yuan; Hongjiang Wei; Chen Liu 026; Yuyao Zhang (ISBI, 2023)

Lung Nodule Segmentation and Low-Confidence Region Prediction with Uncertainty-Aware Attention Mechanism. - Han Yang; Qiuli Wang 001; Yue Zhang 042; Zhulin An; Chen Liu 026; Xiaohong Zhang 002; S. Kevin Zhou (CoRR, 2023)

Towards Open-set Gesture Recognition via Feature Activation Enhancement and Orthogonal Prototype Learning. - Chen Liu 026; Can Han; Chengfeng Zhou; Crystal Cai; Suncheng Xiang; Hualiang Ni; Dahong Qian (CoRR, 2023)

7T-Like T1-Weighted and TOF MRI Synthesis from 3T MRI with Multi-contrast Complementary Deep Learning. - Zheng Zhang 046; Zechen Zhou; Lei Xiang; Kelei He; Zhiqing Zhu; Xingang Wang; Zhiming Zeng; Hongqin Liang; Chen Liu 026 (MLMI@MICCAI (1), 2024)

Interpretable rough neural network for lung nodule diagnosis. - Huanan Bao; Guoyin Wang 001; Chen Liu 026; Qun Liu 005; Qiuyu Mei; Changhua Xu; Xin Wang (Appl. Soft Comput., 2024)

PredIN: Towards Open-Set Gesture Recognition via Prediction Inconsistency. - Chen Liu 026; Can Han; Chengfeng Zhou; Crystal Cai; Dahong Qian (CoRR, 2024)

Nonlocal Tensor Decomposition With Joint Low Rankness and Smoothness for Spectral CT Image Reconstruction. - Chunyan Liu; Sui Li; Dianlin Hu; Jianjun Wang 003; Wenjin Qin; Chen Liu 026; Peng Zhang (IEEE Trans. Computational Imaging, 2024)

SaB-Net: Self-attention backward network for gastric tumor segmentation in CT images. - Junjie He; Mudan Zhang; Wuchao Li; Yunsong Peng; Bangkang Fu; Chen Liu 026; Jian Wang 135; Rongpin Wang (Comput. Biol. Medicine, 2024)

Lung Nodule Segmentation and Uncertain Region Prediction With an Uncertainty-Aware Attention Mechanism. - Han Yang; Qiuli Wang 001; Yue Zhang 042; Zhulin An; Chen Liu 026; Xiaohong Zhang 002; S. Kevin Zhou (IEEE Trans. Medical Imaging, 2024)

A spatial-spectral and temporal dual prototype network for motor imagery brain-computer interface. - Can Han; Chen Liu 026; Jun Wang 072; Yaqi Wang 002; Crystal Cai; Dahong Qian (Knowl. Based Syst., 2025)

Adaptive learning of instance representatives in dual spaces for medical image classification. - Xiang Zhu; Sheng Huang 001; Wenhao Tang; Yi Zhang 113; Xiaoxian Zhang; Chen Liu 026; Xiahong Zhang (Neural Comput. Appl., 2025)