91 citations · 91 across the 4 of their papers we have counts for
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AutoIQ: An Ensemble Framework for Automatic Assessment of Geometric Distortion in Prostate Diffusion-Weighted Imaging
Haoran Sun, Lixia Wang, Yin-Chen Hsu +13
Geometric distortion in prostate diffusion-weighted imaging (DWI) can impair lesion localization and reduce the reliability of MRI-based clinical assessment. We propose AutoIQ, an…
From Global Radiomics to Parametric Maps: A Unified Workflow Fusing Radiomics and Deep Learning for PDAC Detection
Zengtian Deng, Yimeng He, Yu Shi +4
Radiomics and deep learning both offer powerful tools for quantitative medical imaging, but most existing fusion approaches only leverage global radiomic features and overlook the…
Let Distortion Guide Restoration (DGR): A physics-informed learning framework for Prostate Diffusion MRI
Ziyang Long, Binesh Nader, Lixia Wang +9
We present Distortion-Guided Restoration (DGR), a physics-informed hybrid CNN-diffusion framework for acquisition-free correction of severe susceptibility-induced distortions in pr…
Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks
Yuhua Chen, Dan Ruan, Jiayu Xiao +6
Segmentation of multiple organs-at-risk (OARs) is essential for radiation therapy treatment planning and other clinical applications. We developed an Automated deep Learning-based…