Jianyong Wang
Orcid: 0000-0003-1689-2384Affiliations:
- Sichuan University, Machine Intelligence Laboratory, China
According to our database1,
Jianyong Wang
authored at least 16 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Automated Quality Assessment of Medical Images in Echocardiography Using Neural Networks with Adaptive Ranking and Structure-Aware Learning.
Int. J. Neural Syst., October, 2024
Ori-Net: Orientation-guided Neural Network for Automated Coronary Arteries Segmentation.
Expert Syst. Appl., March, 2024
Multi-instance imbalance semantic segmentation by instance-dependent attention and adaptive hard instance mining.
Knowl. Based Syst., 2024
Segmentation of coronary artery based on discriminative frequency learning and coronary-geometric refinement.
Comput. Biol. Medicine, 2024
IarCAC: Instance-Aware Representation for Coronary Artery Calcification Segmentation in Cardiac CT Angiography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
MemGCN: memory-augmented graph neural network for predict conduction disturbance after transcatheter aortic valve replacement.
Appl. Intell., November, 2023
The Gap in the Thickness: Estimating Effectiveness of Pulmonary Nodule Detection in Thick- and Thin-Section CT Images with 3D Deep Neural Networks.
Comput. Methods Programs Biomed., February, 2023
Int. J. Neural Syst., January, 2023
2022
IEEE Trans. Cogn. Dev. Syst., 2022
Neurocomputing, 2022
Computer-aided diagnosis of breast cancer in ultrasonography images by deep learning.
Neurocomputing, 2022
2020
Memory Mechanisms for Discriminative Visual Tracking Algorithms With Deep Neural Networks.
IEEE Trans. Cogn. Dev. Syst., 2020
MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks.
Medical Image Anal., 2020
2019
Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Int. J. Neural Syst., 2018