9 citations · 12 across the 3 of their papers we have counts for
3 papers
eess.IV2023
Exploring 3D U-Net Training Configurations and Post-Processing Strategies for the MICCAI 2023 Kidney and Tumor Segmentation Challenge
Kwang-Hyun Uhm, Hyunjun Cho, Zhixin Xu +4
In 2023, it is estimated that 81,800 kidney cancer cases will be newly diagnosed, and 14,890 people will die from this cancer in the United States. Preoperative dynamic contrast-en…
eess.IV2023★ 3 cited
Cross-domain Denoising for Low-dose Multi-frame Spiral Computed Tomography
Yucheng Lu, Zhixin Xu, Moon Hyung Choi +2
Computed tomography (CT) has been used worldwide as a non-invasive test to assist in diagnosis. However, the ionizing nature of X-ray exposure raises concerns about potential healt…
cs.CV2020★ 9 cited
Filter Grafting for Deep Neural Networks
Fanxu Meng, Hao Cheng, Ke Li +4
This paper proposes a new learning paradigm called filter grafting, which aims to improve the representation capability of Deep Neural Networks (DNNs). The motivation is that DNNs…