most citedCT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)

461 citations · 734 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2023★ 4 cited

Trustworthy Multi-phase Liver Tumor Segmentation via Evidence-based Uncertainty

Chuanfei Hu, Tianyi Xia, Ying Cui +5

Multi-phase liver contrast-enhanced computed tomography (CECT) images convey the complementary multi-phase information for liver tumor segmentation (LiTS), which are crucial to ass…

eess.IV2018★ 461 cited

CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)

Chenyu You, Guang Li, Yi Zhang +9

Computed tomography (CT) is widely used in screening, diagnosis, and image-guided therapy for both clinical and research purposes. Since CT involves ionizing radiation, an overarch…

cs.CV2018★ 269 cited

Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising

Chenyu You, Qingsong Yang, Hongming Shan +8

Computed tomography (CT) is a popular medical imaging modality in clinical applications. At the same time, the x-ray radiation dose associated with CT scans raises public concerns…