Peng Wan
Orcid: 0000-0002-6094-7250Affiliations:
- Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, China
According to our database1,
Peng Wan
authored at least 13 papers
between 2019 and 2023.
Collaborative distances:
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Bibliography
2023
Joint Segmentation and Differential Diagnosis of Thyroid Nodule in Contrast-Enhanced Ultrasound Images.
IEEE Trans. Biomed. Eng., September, 2023
Dynamic Perfusion Representation and Aggregation Network for Nodule Segmentation Using Contrast-Enhanced US.
IEEE J. Biomed. Health Informatics, July, 2023
Transport-Based Anatomical-Functional Metric Learning for Liver Tumor Recognition Using Dual-View Dynamic CEUS Imaging.
IEEE Trans. Biomed. Eng., March, 2023
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
2021
Hierarchical Temporal Attention Network for Thyroid Nodule Recognition Using Dynamic CEUS Imaging.
IEEE Trans. Medical Imaging, 2021
Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Immunohistochemical index prediction of breast tumor based on multi-dimension features in contrast-enhanced ultrasound.
Medical Biol. Eng. Comput., 2020
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020
Transport-Based Joint Distribution Alignment for Multi-site Autism Spectrum Disorder Diagnosis Using Resting-State fMRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 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
Exploiting Saliency in Attention Based Convolutional Neural Network for Classification of Vertical Root Fractures.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
2019
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019