2 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
LAYER: A Quantitative Explainable AI Framework for Decoding Tissue-Layer Drivers of Myofascial Low Back Pain
Zixue Zeng, Anthony M. Perti, Tong Yu +13
Myofascial pain (MP) is a leading cause of chronic low back pain, yet its tissue-level drivers remain poorly defined and lack reliable image biomarkers. Existing studies focus pred…
Segmentation-Aware Generative Reinforcement Network (GRN) for Tissue Layer Segmentation in 3-D Ultrasound Images for Chronic Low-back Pain (cLBP) Assessment
Zixue Zeng, Xiaoyan Zhao, Matthew Cartier +14
We introduce a novel segmentation-aware joint training framework called generative reinforcement network (GRN) that integrates segmentation loss feedback to optimize both image gen…
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…