Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

MosMedData: Chest CT Scans with COVID-19 Related Findings Dataset
С. П. Морозов, Anna Andreychenko, Nikolay Pavlov, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 219

Showing 1-25 of 219 citing articles:

Development and evaluation of an artificial intelligence system for COVID-19 diagnosis
Cheng Jin, Weixiang Chen, Yukun Cao, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 459
Leveraging Data Science to Combat COVID-19: A Comprehensive Review
Siddique Latif, Muhammad Usman, Sanaullah Manzoor, et al.
IEEE Transactions on Artificial Intelligence (2020) Vol. 1, Iss. 1, pp. 85-103
Open Access | Times Cited: 226
Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation
Jun Ma, Yixin Wang, Xingle An, et al.
Medical Physics (2020) Vol. 48, Iss. 3, pp. 1197-1210
Open Access | Times Cited: 212
COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning
Parnian Afshar, Shahin Heidarian, Nastaran Enshaei, et al.
Scientific Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 168
Deep learning for COVID-19 detection based on CT images
Wentao Zhao, Wei Jiang, Xinguo Qiu
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 161
Deep learning for diagnosis of COVID-19 using 3D CT scans
Sertan Serte, Hasan Demirel
Computers in Biology and Medicine (2021) Vol. 132, pp. 104306-104306
Open Access | Times Cited: 144
Detection and Severity Classification of COVID-19 in CT Images Using Deep Learning
Yazan Qiblawey, Anas Tahir, Muhammad E. H. Chowdhury, et al.
Diagnostics (2021) Vol. 11, Iss. 5, pp. 893-893
Open Access | Times Cited: 112
LViT: Language Meets Vision Transformer in Medical Image Segmentation
Zihan Li, Yunxiang Li, Qingde Li, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 1, pp. 96-107
Open Access | Times Cited: 102
Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge
Jun Ma, Yao Zhang, Song Gu, et al.
Medical Image Analysis (2022) Vol. 82, pp. 102616-102616
Closed Access | Times Cited: 101
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse Learning
Hayden Gunraj, Ali Sabri, David Koff, et al.
Frontiers in Medicine (2022) Vol. 8
Open Access | Times Cited: 98
PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans
Fares Bougourzi, Cosimo Distante, Fadi Dornaika, et al.
Medical Image Analysis (2023) Vol. 86, pp. 102797-102797
Open Access | Times Cited: 69
Recent progress in transformer-based medical image analysis
Zhaoshan Liu, Qiujie Lv, Ziduo Yang, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107268-107268
Open Access | Times Cited: 54
LDDNet: A Deep Learning Framework for the Diagnosis of Infectious Lung Diseases
Prajoy Podder, Sanchita Rani Das, M. Rubaiyat Hossain Mondal, et al.
Sensors (2023) Vol. 23, Iss. 1, pp. 480-480
Open Access | Times Cited: 40
An automated privacy-preserving self-supervised classification of COVID-19 from lung CT scan images minimizing the requirements of large data annotation
Sadia Sultana Chowa, Md. Rahad Islam Bhuiyan, Mst. Sazia Tahosin, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
xViTCOS: Explainable Vision Transformer Based COVID-19 Screening Using Radiography
Arnab Kumar Mondal, Arnab Bhattacharjee, Parag Singla, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2021) Vol. 10, pp. 1-10
Open Access | Times Cited: 92
COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework
Jiannan Liu, Bo Dong, Shuai Wang, et al.
Medical Image Analysis (2021) Vol. 74, pp. 102205-102205
Open Access | Times Cited: 67
ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans
Mehdi Yousefzadeh, Parsa Esfahanian, M. Sadegh Movahed, et al.
PLoS ONE (2021) Vol. 16, Iss. 5, pp. e0250952-e0250952
Open Access | Times Cited: 66
Joint Learning of 3D Lesion Segmentation and Classification for Explainable COVID-19 Diagnosis
Xiaofei Wang, Lai Jiang, Liu Li, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 9, pp. 2463-2476
Open Access | Times Cited: 64
Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review
Haseeb Hassan, Zhaoyu Ren, Chengmin Zhou, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 218, pp. 106731-106731
Open Access | Times Cited: 39
Blockchain-Federated and Deep-Learning-Based Ensembling of Capsule Network with Incremental Extreme Learning Machines for Classification of COVID-19 Using CT Scans
Hassaan Malik, Tayyaba Anees, Ahmad Naeem, et al.
Bioengineering (2023) Vol. 10, Iss. 2, pp. 203-203
Open Access | Times Cited: 24
A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images
Haozhe Jia, Haoteng Tang, Guixiang Ma, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106698-106698
Open Access | Times Cited: 22
Potential diagnostic application of a novel deep learning- based approach for COVID-19
Alireza Sadeghi, Mahdieh Sadeghi, Ali Sharifpour, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Deep learning assisted COVID-19 detection using full CT-scans
Varan Singh Rohila, Nitin Gupta, Amit Kaul, et al.
Internet of Things (2021) Vol. 14, pp. 100377-100377
Open Access | Times Cited: 50
Role of Artificial Intelligence in COVID-19 Detection
Anjan Gudigar, U. Raghavendra, Sneha Nayak, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 8045-8045
Open Access | Times Cited: 49
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images
Qiangguo Jin, Hui Cui, Changming Sun, et al.
Expert Systems with Applications (2021) Vol. 176, pp. 114848-114848
Open Access | Times Cited: 48
Page 1 - Next Page

Scroll to top