2 citations · 2 across the 2 of their papers we have counts for
2 papers
eess.IV2026
Promise and challenges of heart chamber segmentation from non-contrast CT scans using contrastive unpaired image translation: a feasibility study
Jing Wang, Tong Yu, Hao-En Lu +5
Purpose: To evaluate the feasibility and challenges of heart chamber segmentation from non-contrast CT scans using contrastive unpaired image translation and deep learning-based se…
eess.IV2024★ 2 cited
BeyondCT: A deep learning model for predicting pulmonary function from chest CT scans
Kaiwen Geng, Zhiyi Shi, Xiaoyan Zhao +4
Abstract Background: Pulmonary function tests (PFTs) and computed tomography (CT) imaging are vital in diagnosing, managing, and monitoring lung diseases. A common issue in practic…