CEUS-Net: Lesion Segmentation in Dynamic Contrast-Enhanced Ultrasound with Feature-Reweighted Attention Mechanism. - Peng Wan 004; Fang Chen 007; Xiaowei Zhu; Chunrui Liu; Yidan Zhang; Wentao Kong; Daoqiang Zhang (ISBI, 2020)

Parameter Transfer Deep Neural Network for Single-Modal B-Mode Ultrasound-Based Computer-Aided Diagnosis. - Xiaoyan Fei; Lu Shen; Shihui Ying; Yehua Cai; Qi Zhang 003; Wentao Kong; Weijun Zhou; Jun Shi 004 (Cogn. Comput., 2020)

Immunohistochemical index prediction of breast tumor based on multi-dimension features in contrast-enhanced ultrasound. - Fang Chen 007; Jia Liu 010; Peng Wan 004; Hongen Liao; Wentao Kong (Medical Biol. Eng. Comput., 2020)

Hierarchical Temporal Attention Network for Thyroid Nodule Recognition Using Dynamic CEUS Imaging. - Peng Wan 004; Fang Chen 007; Chunrui Liu; Wentao Kong; Daoqiang Zhang (IEEE Trans. Medical Imaging, 2021)

Thyroid Nodule Diagnosis in Dynamic Contrast-Enhanced Ultrasound via Microvessel Infiltration Awareness. - Haojie Han; Hongen Liao; Daoqiang Zhang; Wentao Kong; Fang Chen 007 (MICCAI (6), 2023)

Transport-Based Anatomical-Functional Metric Learning for Liver Tumor Recognition Using Dual-View Dynamic CEUS Imaging. - Peng Wan 004; Haiyan Xue; Chunrui Liu; Fang Chen 007; Wei Shao 005; Jing Qin 001; Wentao Kong; Daoqiang Zhang (IEEE Trans. Biomed. Eng., 2023)

Immunohistochemical Index Prediction of Breast Cancer by Using Hybrid Ultrasound Data. - Fang Chen 007; Haojie Han; Guochen Ning; Baojie Wen; Hongen Liao; Wentao Kong; Daoqiang Zhang (IEEE Trans. Biomed. Eng., 2023)

Dynamic Perfusion Representation and Aggregation Network for Nodule Segmentation Using Contrast-Enhanced US. - Peng Wan 004; Haiyan Xue; Chunrui Liu; Fang Chen 007; Wentao Kong; Daoqiang Zhang (IEEE J. Biomed. Health Informatics, 2023)

Frequency constraint-based adversarial attack on deep neural networks for medical image classification. - Fang Chen 007; Jian Wang; Han Liu; Wentao Kong; Zhe Zhao 005; Longfei Ma; Hongen Liao; Daoqiang Zhang (Comput. Biol. Medicine, 2023)

Anatomy preserving GAN for realistic simulation of intraoperative liver ultrasound images. - Lingyu Chen; Hongen Liao; Wentao Kong; Daoqiang Zhang; Fang Chen 007 (Comput. Methods Programs Biomed., 2023)

Deep Semi-Supervised Ultrasound Image Segmentation by Using a Shadow Aware Network With Boundary Refinement. - Fang Chen 007; Lingyu Chen; Wentao Kong; Weijing Zhang; Pengfei Zheng; Liang Sun 009; Daoqiang Zhang; Hongen Liao (IEEE Trans. Medical Imaging, 2023)

Correlation-Adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis. - Peng Wan 004; Shukang Zhang; Wei Shao 005; Junyong Zhao; Yinkai Yang; Wentao Kong; Haiyan Xue; Daoqiang Zhang (MICCAI (5), 2024)

Do as Sonographers Think: Contrast-Enhanced Ultrasound for Thyroid Nodules Diagnosis via Microvascular Infiltrative Awareness. - Fang Chen 007; Haojie Han; Peng Wan 004; Lingyu Chen; Wentao Kong; Hongen Liao; Baojie Wen; Chunrui Liu; Daoqiang Zhang (IEEE Trans. Medical Imaging, 2024)

Advancing breast nodule detection in ultrasound images with multi-scale feature extraction. - Shun Jiang; Kexin Gan; Qian Wang; Li Gong; Wentao Kong; Jie Yuan (Biomed. Signal Process. Control., 2025)