1.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Sichuan UniversityCN39 papers
- University of Electronic Science and Technology of ChinaCN10 papers
- West China Medical Center of Sichuan UniversityCN8 papers
- Hong Kong Polytechnic UniversityHK3 papers
- McGill UniversityCA3 papers
- Tongji UniversityCN3 papers
- Chengdu UniversityCN2 papers
- Chinese Academy of Medical Sciences & Peking Union Medical CollegeCN2 papers
- Fudan UniversityCN2 papers
- Group Sense (China)CN2 papers
- Harvard UniversityUS2 papers
- Huazhong University of Science and TechnologyCN2 papers
8 papers · 1 filter
Beyond the Eye: A Relational Model for Early Dementia Detection Using Retinal OCTA Images
Shouyue Liu, Ziyi Zhang, Yuanyuan Gu +7
Early detection of dementia, such as Alzheimer's disease (AD) or mild cognitive impairment (MCI), is essential to enable timely intervention and potential treatment. Accurate detec…
AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images
Pei Liu, Luping Ji, Feng Ye +1
The survival analysis on histological whole-slide images (WSIs) is one of the most important means to estimate patient prognosis. Although many weakly-supervised deep learning mode…
UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data
Ru Li, Chuan Wang, Jue Wang +4
The paper proposes a method to effectively fuse multi-exposure inputs and generate high-quality high dynamic range (HDR) images with unpaired datasets. Deep learning-based HDR imag…
Conditional Generation of Medical Images via Disentangled Adversarial Inference
Mohammad Havaei, Ximeng Mao, Yiping Wang +1
Synthetic medical image generation has a huge potential for improving healthcare through many applications, from data augmentation for training machine learning systems to preservi…
Blind deblurring for microscopic pathology images using deep learning networks
Cheng Jiang, Jun Liao, Pei Dong +6
Artificial Intelligence (AI)-powered pathology is a revolutionary step in the world of digital pathology and shows great promise to increase both diagnosis accuracy and efficiency.…
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging
Rajesh Kumar, Abdullah Aman Khan, Sinmin Zhang +7
With the increase of COVID-19 cases worldwide, an effective way is required to diagnose COVID-19 patients. The primary problem in diagnosing COVID-19 patients is the shortage and r…
Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan
Xiaofeng Zhu, Bin Song, Feng Shi +9
With the rapidly worldwide spread of Coronavirus disease (COVID-19), it is of great importance to conduct early diagnosis of COVID-19 and predict the time that patients might conve…
Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification
Feng Shi, Liming Xia, Fei Shan +7
The worldwide spread of coronavirus disease (COVID-19) has become a threatening risk for global public health. It is of great importance to rapidly and accurately screen patients w…