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Jianyong Wang 0002
Person information
- affiliation: Sichuan University, Machine Intelligence Laboratory, China
Other persons with the same name
- Jianyong Wang 0001
— Tsinghua University, Beijing, China (and 2 more)
- Jianyong Wang 0003
- Jianyong Wang 0004 — Huazhong Agricultural University, College of Sciences, Wuhan, China
- Jianyong Wang 0005 — Beijing Microelectronics Technology Institute, China
- Jianyong Wang 0006 — Xi'an Institution of High-Tech, Department of Automation, China
- Jianyong Wang 0007 — Quzhou University, Department of Mathematics and Physics, China
- Jianyong Wang 0008 — Guangdong Electric Power Information Technology Co., Ltd., Guangzhou, China
- Jianyong Wang 0009 — Shandong University of Technology, Zibo, China
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2020 – today
- 2024
- [j14]Weili Jiang, Yiming Li, Yuheng Jia
Segmentation of coronary artery based on discriminative frequency learning and coronary-geometric refinement. Comput. Biol. Medicine 181: 109045 (2024) - [j13]Weili Jiang
Ori-Net: Orientation-guided Neural Network for Automated Coronary Arteries Segmentation. Expert Syst. Appl. 238(Part C): 121905 (2024) - [j12]Luosang Gadeng
Automated Quality Assessment of Medical Images in Echocardiography Using Neural Networks with Adaptive Ranking and Structure-Aware Learning. Int. J. Neural Syst. 34(10): 2450054:1-2450054:16 (2024) - [j11]Weili Jiang, Yiming Li, Zhang Yi, Mao Chen, Jianyong Wang
Multi-instance imbalance semantic segmentation by instance-dependent attention and adaptive hard instance mining. Knowl. Based Syst. 304: 112554 (2024) - [c2]Weili Jiang, Yiming Li, Zhang Yi, Jianyong Wang, Mao Chen:
IarCAC: Instance-Aware Representation for Coronary Artery Calcification Segmentation in Cardiac CT Angiography. MICCAI (1) 2024: 285-295 - 2023
- [j10]Luosang Gadeng
MemGCN: memory-augmented graph neural network for predict conduction disturbance after transcatheter aortic valve replacement. Appl. Intell. 53(22): 27428-27439 (2023) - [j9]Quan Guo, Chengdi Wang, Jixiang Guo
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. 229: 107290 (2023) - [j8]Jianyong Wang
Mixture 2D Convolutions for 3D Medical Image Segmentation. Int. J. Neural Syst. 33(1): 2250059:1-2250059:14 (2023) - 2022
- [j7]Xiaofeng Qi
Computer-aided diagnosis of breast cancer in ultrasonography images by deep learning. Neurocomputing 472: 152-165 (2022) - [j6]Jianyong Wang
VMAT dose prediction in radiotherapy by using progressive refinement UNet. Neurocomputing 488: 528-539 (2022) - [j5]Jianyong Wang
Partially Recurrent Network With Highway Connections. IEEE Trans. Cogn. Dev. Syst. 14(4): 1465-1473 (2022) - 2020
- [j4]Xiuyuan Xu, Chengdi Wang
MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks. Medical Image Anal. 65: 101772 (2020) - [j3]Lituan Wang
Memory Mechanisms for Discriminative Visual Tracking Algorithms With Deep Neural Networks. IEEE Trans. Cogn. Dev. Syst. 12(1): 98-108 (2020)
2010 – 2019
- 2019
- [c1]Tao He, Jixiang Guo, Jianyong Wang, Xiuyuan Xu, Zhang Yi:
Multi-task Learning for the Segmentation of Thoracic Organs at Risk in CT images. SegTHOR@ISBI 2019 - 2018
- [j2]Jianyong Wang
A New Delay Connection for Long Short-Term Memory Networks. Int. J. Neural Syst. 28(6): 1750061:1-1750061:15 (2018) - [j1]Jianyong Wang
Recurrent Neural Networks With Auxiliary Memory Units. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1652-1661 (2018)
Coauthor Index
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