output
20182021
most citedCommon pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

1k citations

10 papers

physics.med-ph2021★ 38 cited

Low-intensity pulsed ultrasound promotes mesenchymal stem cell transplantation-based articular cartilage regeneration via inhibiting the TNF signaling pathway

Yiming Chen, Huiyi Yang, Zhaojie Wang +3

Background: Mesenchymal stem cell (MSC) transplantation therapy is highly investigated for the regenerative repair of cartilage defects. Low-intensity pulsed ultrasound (LIPUS) has…

cs.AI2021★ 78 cited

Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence

Xiang Bai, Hanchen Wang, Liya Ma +43

Artificial intelligence (AI) provides a promising substitution for streamlining COVID-19 diagnoses. However, concerns surrounding security and trustworthiness impede the collection…

cs.LG2020★ 1k cited

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

Michael Roberts, Derek Driggs, Matthew Thorpe +13

Machine learning methods offer great promise for fast and accurate detection and prognostication of COVID-19 from standard-of-care chest radiographs (CXR) and computed tomography (…

eess.IV2020★ 29 cited

Blind Inverse Gamma Correction with Maximized Differential Entropy

Yong Lee, Shaohua Zhang, Miao Li +1

Unwanted nonlinear gamma distortion frequently occurs in a great diversity of images during the procedures of image acquisition, processing, and/or display. And the gamma distortio…

cs.CV2020★ 25 cited

Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia

Xi Ouyang, Jiayu Huo, Liming Xia +15

The coronavirus disease (COVID-19) is rapidly spreading all over the world, and has infected more than 1,436,000 people in more than 200 countries and territories as of April 9, 20…

eess.IV2020★ 267 cited

Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning

Hengyuan Kang, Liming Xia, Fuhua Yan +8

Recently, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread rapidly across the world. Due to the large number of affected patients and heavy labor for doctors, compute…

cs.CV2020★ 5 cited

FFusionCGAN: An end-to-end fusion method for few-focus images using conditional GAN in cytopathological digital slides

Xiebo Geng, Sibo Liua, Wei Han +7

Multi-focus image fusion technologies compress different focus depth images into an image in which most objects are in focus. However, although existing image fusion techniques, in…

eess.IV2019★ 4 cited

The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN

Wenjun Yan, Yuanyuan Wang, Shengjia Gu +4

Convolutional neural network (CNN), in particular the Unet, is a powerful method for medical image segmentation. To date Unet has demonstrated state-of-art performance in many comp…

eess.IV2019★ 3 cited

Multi-Task Deep Learning with Dynamic Programming for Embryo Early Development Stage Classification from Time-Lapse Videos

Zihan Liu, Bo Huang, Yuqi Cui +6

Time-lapse is a technology used to record the development of embryos during in-vitro fertilization (IVF). Accurate classification of embryo early development stages can provide emb…

cs.CV2018★ 26 cited

Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study

Zhang Li, Zheyu Hu, Jiaolong Xu +10

Aim: Early detection and correct diagnosis of lung cancer are the most important steps in improving patient outcome. This study aims to assess which deep learning models perform be…