activity
20172025
most citedLow-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

1.9k citations · 4.9k across the 29 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

eess.IV2020

Deep Interactive Denoiser (DID) for X-Ray Computed Tomography

Ti Bai, Biling Wang, Dan Nguyen +5

Low dose computed tomography (LDCT) is desirable for both diagnostic imaging and image guided interventions. Denoisers are openly used to improve the quality of LDCT. Deep learning…

eess.IV2020★ 86 cited

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…

eess.IV2020★ 1 cited

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…

eess.IV2020★ 102 cited

Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography

Hanqing Chao, Hongming Shan, Fatemeh Homayounieh +7

Cancer patients have a higher risk of cardiovascular disease (CVD) mortality than the general population. Low dose computed tomography (LDCT) for lung cancer screening offers an op…

eess.IV2020

Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment

Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor +11

The interpretation of medical images is a challenging task, often complicated by the presence of artifacts, occlusions, limited contrast and more. Most notable is the case of chest…

eess.IV2020

Integrative Analysis for COVID-19 Patient Outcome Prediction

Hanqing Chao, Xi Fang, Jiajin Zhang +13

While image analysis of chest computed tomography (CT) for COVID-19 diagnosis has been intensively studied, little work has been performed for image-based patient outcome predictio…

eess.IV2020★ 42 cited

CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image

Tahereh Javaheri, Morteza Homayounfar, Zohreh Amoozgar +19

Coronavirus disease 2019 (Covid-19) is highly contagious with limited treatment options. Early and accurate diagnosis of Covid-19 is crucial in reducing the spread of the disease a…