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:

Artificial intelligence CAD tools in trauma imaging: a scoping review from the American Society of Emergency Radiology (ASER) AI/ML Expert Panel
David Dreizin, Pedro V. Staziaki, Garvit D. Khatri, et al.
Emergency Radiology (2023) Vol. 30, Iss. 3, pp. 251-265
Open Access | Times Cited: 18

Showing 18 citing articles:

Unveiling the future: Advancements in MRI imaging for neurodegenerative disorders
Lixin Du, Shubham Roy, Pan Wang, et al.
Ageing Research Reviews (2024) Vol. 95, pp. 102230-102230
Closed Access | Times Cited: 20
The diagnostic performance of automatic B-lines detection for evaluating pulmonary edema in the emergency department among novice point-of-care ultrasound practitioners
Kamonwon Ienghong, Lap Woon Cheung, Dhanu Gaysonsiri, et al.
Emergency Radiology (2025)
Open Access | Times Cited: 2
Deep Learning for Automated Detection and Localization of Traumatic Abdominal Solid Organ Injuries on CT Scans
Chi‐Tung Cheng, Hou-Hsien Lin, Chih-Po Hsu, et al.
Deleted Journal (2024) Vol. 37, Iss. 3, pp. 1113-1123
Open Access | Times Cited: 13
Applications of Deep Learning in Trauma Radiology: A Narrative Review
Chi‐Tung Cheng, Chun-Hsiang Ooyang, Chien-Hung Liao, et al.
Biomedical Journal (2024) Vol. 48, Iss. 1, pp. 100743-100743
Open Access | Times Cited: 7
Applications of Artificial Intelligence in Acute Abdominal Imaging
Jason Yao, Linda C. Chu, Michael N. Patlas
Canadian Association of Radiologists Journal (2024) Vol. 75, Iss. 4, pp. 761-770
Open Access | Times Cited: 6
Artificial intelligence for abdominopelvic trauma imaging: trends, gaps, and future directions
David Dreizin, Chi‐Tung Cheng, Chien‐Hung Liao, et al.
Abdominal Radiology (2025)
Closed Access
An ASER AI/ML expert panel formative user research study for an interpretable interactive splenic AAST grading graphical user interface prototype
Nathan Sarkar, M. Kumagai, Samantha Meyr, et al.
Emergency Radiology (2024) Vol. 31, Iss. 2, pp. 167-178
Open Access | Times Cited: 4
Pulmonary contusion: automated deep learning-based quantitative visualization
Nathan Sarkar, Lei Zhang, Peter Campbell, et al.
Emergency Radiology (2023) Vol. 30, Iss. 4, pp. 435-441
Open Access | Times Cited: 10
A lighthouse to enhance the quality of life in the Nile River basin
Ayman F. Batisha
Environmental Economics and Policy Studies (2023)
Open Access | Times Cited: 10
A vendor-agnostic, PACS integrated, and DICOM-compatible software-server pipeline for testing segmentation algorithms within the clinical radiology workflow
Lei Zhang, Wayne LaBelle, Mathias Unberath, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 9
Artificial intelligence for detection of effusion and lipo-hemarthrosis in X-rays and CT of the knee
Israel Cohen, Vera Sorin, Ruth Lekach, et al.
European Journal of Radiology (2024) Vol. 175, pp. 111460-111460
Closed Access | Times Cited: 1
‘Humans think outside the pixels’ – Radiologists’ perceptions of using artificial intelligence for breast cancer detection in mammography screening in a clinical setting
Jennifer Viberg Johansson, Emma Engström
Health Informatics Journal (2024) Vol. 30, Iss. 3
Open Access | Times Cited: 1
A vendor-agnostic, PACS integrated, and DICOM-compatible software-server pipeline for testing segmentation algorithms within the clinical radiology workflow.
Lei Zhang, Wayne LaBelle, Mathias Unberath, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 3
Accelerating voxelwise annotation of cross-sectional imaging through AI collaborative labeling with quality assurance and bias mitigation
David Dreizin, Lei Zhang, Nathan Sarkar, et al.
Frontiers in Radiology (2023) Vol. 3
Open Access | Times Cited: 3
The American Society of Emergency Radiology (ASER) AI/ML expert panel: inception, mandate, work products, and goals
David Dreizin
Emergency Radiology (2023) Vol. 30, Iss. 3, pp. 279-283
Closed Access | Times Cited: 2
Does Acuity and Severity of Injury Affect Trauma Whole-Body CT Report Turnaround Time? A Large-scale Study
Nathan Sarkar, Mustafa Khedr, David Dreizin
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
The Competency of Emergency Medicine Residents in Interpreting Hand X-rays Across the Three Major Regions of Saudi Arabia
Loui K. Alsulimani, Basma AlRasheed, Afnan Saeed, et al.
Cureus (2024)
Open Access
Artificial intelligence in emergency and trauma radiology: ASER AI/ML expert panel Delphi consensus statement on research guidelines, practices, and priorities
David Dreizin, Garvit D. Khatri, Pedro V. Staziaki, et al.
Emergency Radiology (2024)
Closed Access
Page 1

Scroll to top