86 citations · 133 across the 15 of their papers we have counts for
5 papers · 1 filter
Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19
Aoxiao Zhong, Xiang Li, Dufan Wu +17
In recent years, deep learning-based image analysis methods have been widely applied in computer-aided detection, diagnosis and prognosis, and has shown its value during the public…
Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis
Young-Gon Kim, Kyungsang Kim, Dufan Wu +10
Purpose. Imaging plays an important role in assessing severity of COVID 19 pneumonia. However, semantic interpretation of chest radiography (CXR) findings does not include quantita…
Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging
Ziju Shen, Yufei Wang, Dufan Wu +2
Computed Tomography (CT) takes X-ray measurements on the subjects to reconstruct tomographic images. As X-ray is radioactive, it is desirable to control the total amount of dose of…
Self-supervised Dynamic CT Perfusion Image Denoising with Deep Neural Networks
Dufan Wu, Hui Ren, Quanzheng Li
Dynamic computed tomography perfusion (CTP) imaging is a promising approach for acute ischemic stroke diagnosis and evaluation. Hemodynamic parametric maps of cerebral parenchyma a…
Deep Learning Based Detection and Localization of Intracranial Aneurysms in Computed Tomography Angiography
Dufan Wu, Daniel Montes, Ziheng Duan +4
Purpose: To develop CADIA, a supervised deep learning model based on a region proposal network coupled with a false-positive reduction module for the detection and localization of…