most citedASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising

26 citations · 27 across the 3 of their papers we have counts for

collaborators

2 papers

eess.IV2023

AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation

Zhiyu Ma, Chen Li, Tianming Du +11

Methods: In this study, a benchmark \emph{Abdominal Adipose Tissue CT Image Dataset} (AATTCT-IDS) containing 300 subjects is prepared and published. AATTCT-IDS publics 13,732 raw C…

eess.IV2023★ 26 cited

ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising

Zhihao Chen, Qi Gao, Yi Zhang +1

While various deep learning methods have been proposed for low-dose computed tomography (CT) denoising, most of them leverage the normal-dose CT images as the ground-truth to super…