Feasibility study of a new approach for reducing of partial volume averaging artifact in CT scanner

Author:

Arabi Hosein,Kamali Asl Ali Reza

Publisher

IEEE

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Quantitative Determination of Partial Voxel Compositions with X-ray CT Image-Based Data-Constrained Modelling;Applied Sciences;2024-08-22

2. Attention-based deep neural network for partial volume correction in brain 18F-FDG PET imaging;Physica Medica;2024-03

3. 3D dilated and residual convolutional neural network for COVID-19 detection from the chest computed tomography;2021 28th National and 6th International Iranian Conference on Biomedical Engineering (ICBME);2021-11-25

4. Low-dose Covid-19 CT Imaging: Noise-to-noise Versus Supervised Deep Learning-based Denoising;2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC);2021-10-16

5. A Novel Unsupervised COVID-19 Lesion Segmentation from CT Images Based-on the Lung Tissue Detection;2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC);2021-10-16

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