48 citations · 133 across the 10 of their papers we have counts for
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eess.IV2023
RetinexFlow for CT metal artifact reduction
Jiandong Su, Ce Wang, Yinsheng Li +2
Metal artifacts is a major challenge in computed tomography (CT) imaging, significantly degrading image quality and making accurate diagnosis difficult. However, previous methods e…
eess.IV2023★ 8 cited
Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction
Qing Wu, Lixuan Chen, Ce Wang +4
Emerging neural reconstruction techniques based on tomography (e.g., NeRF, NeAT, and NeRP) have started showing unique capabilities in medical imaging. In this work, we present a n…
cs.CV2023★ 48 cited
Cross-Modal Causal Intervention for Medical Report Generation
Weixing Chen, Yang Liu, Ce Wang +4
Radiology Report Generation (RRG) is essential for computer-aided diagnosis and medication guidance, which can relieve the heavy burden of radiologists by automatically generating…