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:

CT Radiomics, Radiologists, and Clinical Information in Predicting Outcome of Patients with COVID-19 Pneumonia
Fatemeh Homayounieh, Shadi Ebrahimian, Rosa Babaei, et al.
Radiology Cardiothoracic Imaging (2020) Vol. 2, Iss. 4, pp. e200322-e200322
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Artificial intelligence-driven assessment of radiological images for COVID-19
Yassine Bouchareb, Pegah Moradi Khaniabadi, Faiza Al Kindi, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104665-104665
Open Access | Times Cited: 71
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients
Isaac Shiri, Yazdan Salimi, Masoumeh Pakbin, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105467-105467
Open Access | Times Cited: 64
Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data
Robin Wang, Zhicheng Jiao, Li Yang, et al.
European Radiology (2021) Vol. 32, Iss. 1, pp. 205-212
Open Access | Times Cited: 59
Contribution of machine learning approaches in response to SARS-CoV-2 infection
Mohammad Sadeq Mottaqi, Fatemeh Mohammadipanah, Hedieh Sajedi
Informatics in Medicine Unlocked (2021) Vol. 23, pp. 100526-100526
Open Access | Times Cited: 46
High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms
Isaac Shiri, Shayan Mostafaei, Atlas Haddadi Avval, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 31
Applications of Artificial Intelligence (AI) for cardiology during COVID-19 pandemic
Abid Haleem, Mohd Javaid, Ravi Pratap Singh, et al.
Sustainable Operations and Computers (2021) Vol. 2, pp. 71-78
Open Access | Times Cited: 40
Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics
Pegah Moradi Khaniabadi, Yassine Bouchareb, Humoud Al-Dhuhli, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106165-106165
Open Access | Times Cited: 27
Altered pulmonary blood volume distribution as a biomarker for predicting outcomes in COVID-19 disease
Michael F. Morris, Yash Pershad, Paul Kang, et al.
European Respiratory Journal (2021) Vol. 58, Iss. 3, pp. 2004133-2004133
Open Access | Times Cited: 31
Screening of COVID-19 based on the extracted radiomics features from chest CT images
Seyed Masoud Rezaeijo, Razzagh Abedi‐Firouzjah, Mohammadreza Ghorvei, et al.
Journal of X-Ray Science and Technology (2021) Vol. 29, Iss. 2, pp. 229-243
Closed Access | Times Cited: 29
Early Prediction of COVID-19 Ventilation Requirement and Mortality from Routinely Collected Baseline Chest Radiographs, Laboratory, and Clinical Data with Machine Learning
Abdulrhman Aljouie, Ahmed Almazroa, Yahya Bokhari, et al.
Journal of Multidisciplinary Healthcare (2021) Vol. Volume 14, pp. 2017-2033
Open Access | Times Cited: 29
Radiomics analysis in medical imaging research
Mahmoud Elmahdy, Ronnie Sebro
Journal of Medical Radiation Sciences (2023) Vol. 70, Iss. 1, pp. 3-7
Open Access | Times Cited: 12
Application of radiomics in acute and severe non-neoplastic diseases: A literature review
Fang Yu, Qiannan Zhang, Junwei Yan, et al.
Journal of Critical Care (2025) Vol. 87, pp. 155027-155027
Open Access
Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data
Subhanik Purkayastha, Yanhe Xiao, Zhicheng Jiao, et al.
Korean Journal of Radiology (2021) Vol. 22, Iss. 7, pp. 1213-1213
Open Access | Times Cited: 27
Artificial Intelligence in Healthcare: a Primer for Medical Education in Radiomics
Carly E Waldman, Melody Hermel, Jonathan A. Hermel, et al.
Personalized Medicine (2022) Vol. 19, Iss. 5, pp. 445-456
Closed Access | Times Cited: 18
The potential of prostate gland radiomic features in identifying the Gleason score
Lixin Gong, Min Xu, Mengjie Fang, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105318-105318
Closed Access | Times Cited: 17
Visual classification of three computed tomography lung patterns to predict prognosis of COVID-19: a retrospective study
Daisuke Yamada, Sachiko Ohde, Ryosuke Imai, et al.
BMC Pulmonary Medicine (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 16
Predicting clinical outcomes in COVID-19 using radiomics on chest radiographs
Bino Varghese, Heeseop Shin, Bhushan Desai, et al.
British Journal of Radiology (2021) Vol. 94, Iss. 1126
Open Access | Times Cited: 19
Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT
Tomoki Uemura, Janne J. Näppi, Chinatsu Watari, et al.
Medical Image Analysis (2021) Vol. 73, pp. 102159-102159
Open Access | Times Cited: 18
Prediction of burden and management of renal calculi from whole kidney radiomics: a multicenter study
Fatemeh Homayounieh, Ruhani Doda Khera, Bernardo C. Bizzo, et al.
Abdominal Radiology (2020) Vol. 46, Iss. 5, pp. 2097-2106
Open Access | Times Cited: 19
Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications
Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, et al.
IEEE Signal Processing Magazine (2021) Vol. 38, Iss. 5, pp. 37-66
Closed Access | Times Cited: 17
Deep learning-based lesion subtyping and prediction of clinical outcomes in COVID-19 pneumonia using chest CT
David Bermejo-Peláez, Raúl San Jośe Estépar, María Fernández-Velilla Peña, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 11
Radiomics-Based Prediction of Overall Survival in Lung Cancer Using Different Volumes-Of-Interest
Natascha Claudia D’Amico, Rosa Sicilia, Ermanno Cordelli, et al.
Applied Sciences (2020) Vol. 10, Iss. 18, pp. 6425-6425
Open Access | Times Cited: 17
A CT radiomics analysis of COVID-19-related ground-glass opacities and consolidation: Is it valuable in a differential diagnosis with other atypical pneumonias?
Mutlu Gülbay, Bahadır Orkun Özbay, Bökebatur Ahmet Raşit Mendi, et al.
PLoS ONE (2021) Vol. 16, Iss. 3, pp. e0246582-e0246582
Open Access | Times Cited: 15
Performance and Robustness of Machine Learning-based Radiomic COVID-19 Severity Prediction
Stephen Yip, Žan Klaneček, Shotaro Naganawa, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 15
A novel CT-based radiomics in the distinction of severity of coronavirus disease 2019 (COVID-19) pneumonia
Zongyu Xie, Haitao Sun, Jian Wang, et al.
BMC Infectious Diseases (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 14
Page 1 - Next Page

Scroll to top