most citedConvolutional Neural Network to Restore Low-Dose Digital Breast Tomosynthesis Projections in a Variance Stabilization Domain

3 citations · 4 across the 2 of their papers we have counts for

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eess.IV2023

Head-Neck Dual-energy CT Contrast Media Reduction Using Diffusion Models

Qing Lyu, Josh Tan, Megan E. Lipford +6

Iodinated contrast media is essential for dual-energy computed tomography (DECT) angiography. Previous studies show that iodinated contrast media may cause side effects, and the in…

eess.IV2023

Specialty-Oriented Generalist Medical AI for Chest CT Screening

Chuang Niu, Qing Lyu, Christopher D. Carothers +6

Modern medical records include a vast amount of multimodal free text clinical data and imaging data from radiology, cardiology, and digital pathology. Fully mining such big data re…

eess.IV2023

Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT

Wenjun Xia, Hsin Wu Tseng, Chuang Niu +6

Breast cancer is the most prevalent cancer among women worldwide, and early detection is crucial for reducing its mortality rate and improving quality of life. Dedicated breast com…

eess.IV20221 cited

X-ray Dissectography Improves Lung Nodule Detection

Chuang Niu, Giridhar Dasegowda, Pingkun Yan +2

Although radiographs are the most frequently used worldwide due to their cost-effectiveness and widespread accessibility, the structural superposition along the x-ray paths often r…

eess.IV20223 cited

Convolutional Neural Network to Restore Low-Dose Digital Breast Tomosynthesis Projections in a Variance Stabilization Domain

Rodrigo de Barros Vimieiro, Chuang Niu, Hongming Shan +3

Digital breast tomosynthesis (DBT) exams should utilize the lowest possible radiation dose while maintaining sufficiently good image quality for accurate medical diagnosis. In this…