Classification of Patients with Disorder of Consciousness Based on DTI Sequence Analysis. - Hong Song; Qiang Li 049; Shixiong Li; Wei Kang; Jian Yang 009; Yi Yang; Jianghong He (SmartCloud, 2017)

Automatic Liver Segmentation Using Multi-plane Integrated Fully Convolutional Neural Networks. - Chi Wang; Hong Song; Lei Chen 073; Qiang Li 049; Jian Yang 009; Xiaohua Tony Hu; Le Zhang 004 (BIBM, 2018)

Liver Segmentation in CT Images Using a Non-Local Fully Convolutional Neural Network. - Lei Chen 073; Hong Song; Qiang Li 049; Yutao Cui; Jian Yang 009; Xiaohua Tony Hu (BIBM, 2019)

Attention-Based DenseUnet Network With Adversarial Training for Skin Lesion Segmentation. - Zenghui Wei; Hong Song; Lei Chen 073; Qiang Li 049; Guanghui Han (IEEE Access, 2019)

CC-DenseUNet: Densely Connected U-Net with Criss-Cross Attention for Liver and Tumor Segmentation in CT Volumes. - Qiang Li 049; Hong Song; Weiwei Zhang; Jingfan Fan; Danni Ai; Yucong Lin; Jian Yang 009 (BIBM, 2021)

3D ARCNN: An Asymmetric Residual CNN for Decreasing False Positive Rate of Lung Nodules Detection. - Bowen Liu 011; Hong Song; Qiang Li 049; Yucong Lin; Jian Yang 009 (BIBM, 2022)

Denoising of MR and CT images using cascaded multi-supervision convolutional neural networks with progressive training. - Hong Song; Lei Chen 073; Yutao Cui; Qiang Li 049; Qi Wang; Jingfan Fan; Jian Yang 009; Le Zhang 004 (Neurocomputing, 2022)

Multi-level contexts aggregation for melanoma recognition under feature confusion regularization. - Zenghui Wei; Feng Shi; Lei Chen 073; Qiang Li 049; Hong Song (Signal Image Video Process., 2022)

Densely Connected U-Net With Criss-Cross Attention for Automatic Liver Tumor Segmentation in CT Images. - Qiang Li 049; Hong Song; Zenghui Wei; Fengbo Yang; Jingfan Fan; Danni Ai; Yucong Lin; Xiaoling Yu; Jian Yang 009 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Advanced machine learning model for predicting Crohn's disease with enhanced ant colony optimization. - Xixi He; Huajun Ye; Rui Zhao; Mengmeng Lu; Qiwen Chen; Lishimeng Bao; Tianmin Lv; Qiang Li 049; Fang Wu (Comput. Biol. Medicine, 2023)

Predictive modeling of deep vein thrombosis risk in hospitalized patients: A Q-learning enhanced feature selection model. - Rizeng Li; Sunmeng Chen; Jianfu Xia; Hong Zhou; Qingzheng Shen; Qiang Li 049; Qiantong Dong (Comput. Biol. Medicine, 2024)

Enhancing deep vein thrombosis prediction in patients with coronavirus disease 2019 using improved machine learning model. - Lufang Zhang; Renyue Yu; Keya Chen; Ying Zhang; Qiang Li 049; Yu Chen (Comput. Biol. Medicine, 2024)

Dual-correlate optimized coarse-fine strategy for monocular laparoscopic videos feature matching via multilevel sequential coupling feature descriptor. - Ziang Zhang; Hong Song; Jingfan Fan; Tianyu Fu 003; Qiang Li 049; Danni Ai; Deqaing Xiao; Jian Yang 009 (Comput. Biol. Medicine, 2024)