most citedCT-based Anomaly Detection of Liver Tumors Using Generative Diffusion Prior

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eess.IV2025

Xray2Xray: World Model from Chest X-rays with Volumetric Context

Zefan Yang, Xinrui Song, Xuanang Xu +4

Chest X-rays (CXRs) are the most widely used medical imaging modality and play a pivotal role in diagnosing diseases. However, as 2D projection images, CXRs are limited by structur…

eess.IV2025

Zero-Shot Low-dose CT Denoising via Sinogram Flicking

Yongyi Shi, Ge Wang

Many low-dose CT imaging methods rely on supervised learning, which requires a large number of paired noisy and clean images. However, obtaining paired images in clinical practice…

eess.IV2025

Manifold Topological Deep Learning for Biomedical Data

Xiang Liu, Zhe Su, Yongyi Shi +3

Recently, topological deep learning (TDL), which integrates algebraic topology with deep neural networks, has achieved tremendous success in processing point-cloud data, emerging a…