Wentao Kong
According to our database1,
Wentao Kong
authored at least 13 papers
between 2020 and 2024.
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Bibliography
2024
Do as Sonographers Think: Contrast-Enhanced Ultrasound for Thyroid Nodules Diagnosis via Microvascular Infiltrative Awareness.
IEEE Trans. Medical Imaging, November, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Deep Semi-Supervised Ultrasound Image Segmentation by Using a Shadow Aware Network With Boundary Refinement.
IEEE Trans. Medical Imaging, December, 2023
Anatomy preserving GAN for realistic simulation of intraoperative liver ultrasound images.
Comput. Methods Programs Biomed., October, 2023
Frequency constraint-based adversarial attack on deep neural networks for medical image classification.
Comput. Biol. Medicine, September, 2023
Dynamic Perfusion Representation and Aggregation Network for Nodule Segmentation Using Contrast-Enhanced US.
IEEE J. Biomed. Health Informatics, July, 2023
Immunohistochemical Index Prediction of Breast Cancer by Using Hybrid Ultrasound Data.
IEEE Trans. Biomed. Eng., April, 2023
Transport-Based Anatomical-Functional Metric Learning for Liver Tumor Recognition Using Dual-View Dynamic CEUS Imaging.
IEEE Trans. Biomed. Eng., March, 2023
Thyroid Nodule Diagnosis in Dynamic Contrast-Enhanced Ultrasound via Microvessel Infiltration Awareness.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2021
Hierarchical Temporal Attention Network for Thyroid Nodule Recognition Using Dynamic CEUS Imaging.
IEEE Trans. Medical Imaging, 2021
2020
Immunohistochemical index prediction of breast tumor based on multi-dimension features in contrast-enhanced ultrasound.
Medical Biol. Eng. Comput., 2020
Parameter Transfer Deep Neural Network for Single-Modal B-Mode Ultrasound-Based Computer-Aided Diagnosis.
Cogn. Comput., 2020
CEUS-Net: Lesion Segmentation in Dynamic Contrast-Enhanced Ultrasound with Feature-Reweighted Attention Mechanism.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020