4 papers
Self-Auditing Residual Drifting for Pathology-Preserving Accelerated Knee MRI
Qing Lyu, Jianxu Wang, Mohammad Kawas +2
Accelerated magnetic resonance imaging reduces acquisition time, but reconstruction from undersampled k-space can blur diagnostically relevant structures or introduce failures that…
RDDM: A Residual-Driven Drifting Model for High-Fidelity Low-Dose CT Denoising
Jianxu Wang, Qing Lyu, Ge Wang
Low-dose CT (LDCT) denoising remains an important yet challenging problem in medical imaging. Although recent learning-based methods have shown promising performance, those optimiz…
MRI-to-CT synthesis using drifting models
Qing Lyu, Jianxu Wang, Jeremy Hudson +2
Accurate MRI-to-CT synthesis could enable MR-only pelvic workflows by providing CT-like images with bone details while avoiding additional ionizing radiation. In this work, we inve…
Development and Validation of a Large Language Model for Generating Fully-Structured Radiology Reports
Chuang Niu, Md Sayed Tanveer, Md Zabirul Islam +5
Current LLMs for creating fully-structured reports face the challenges of formatting errors, content hallucinations, and privacy leakage issues when uploading data to external serv…