Search Results for author: Yongyi Shi

Found 4 papers, 1 papers with code

Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss

9 code implementations3 Aug 2017 Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K. Kalra, Ge Wang

In this paper, we introduce a new CT image denoising method based on the generative adversarial network (GAN) with Wasserstein distance and perceptual similarity.

Generative Adversarial Network Image Denoising

Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity

no code implementations27 May 2022 Weiguo Cao, Marc J. Pomeroy, Zhengrong Liang, Yongfeng Gao, Yongyi Shi, Jiaxing Tan, Fangfang Han, Jing Wang, Jianhua Ma, Hongbin Lu, Almas F. Abbasi, Perry J. Pickhardt

The outcomes of this modeling approach reached the score of area under the curve of the receiver operating characteristics of 94. 2 % for the polyps and 87. 4 % for the nodules, resulting in an average gain of 5 % to 30 % over ten existing state-of-the-art lesion classification methods.

Computed Tomography (CT) Lesion Classification

Blind CT Image Quality Assessment Using DDPM-derived Content and Transformer-based Evaluator

no code implementations4 Oct 2023 Yongyi Shi, Wenjun Xia, Ge Wang, Xuanqin Mou

Subsequently, the distorted image and dissimilarity map are combined into a multi-channel image, which is inputted into a transformer-based image quality evaluator.

Blind Image Quality Assessment Denoising

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