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 and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study
Anindo Saha, Joeran Sander Bosma, Jasper Jonathan Twilt, et al.
The Lancet Oncology (2024) Vol. 25, Iss. 7, pp. 879-887
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

AI-powered prostate cancer detection: a multi-centre, multi-scanner validation study
Francesco Giganti, Nádia Moreira da Silva, Michael Yeung, et al.
European Radiology (2025)
Open Access | Times Cited: 2
MRI-based Deep Learning Algorithm for Assisting Clinically Significant Prostate Cancer Detection: A Bicenter Prospective Study
Young Joon Lee, Hyong Woo Moon, Moon Hyung Choi, et al.
Radiology (2025) Vol. 314, Iss. 3
Closed Access | Times Cited: 2
An Automatic Deep-Radiomics Framework for Prostate Cancer Diagnosis and Stratification in Patients with Serum Prostate-Specific Antigen of 4.0–10.0 ng/mL: A Multicenter Retrospective Study
Bowen Zheng, F. Mo, Xiaoran Shi, et al.
Academic Radiology (2025)
Closed Access | Times Cited: 1
Evaluating Biparametric Versus Multiparametric Magnetic Resonance Imaging for Diagnosing Clinically Significant Prostate Cancer: An International, Paired, Noninferiority, Confirmatory Observer Study
Jasper Jonathan Twilt, Anindo Saha, Joeran S. Bosma, et al.
European Urology (2024)
Open Access | Times Cited: 6
A Comprehensive Review of Artificial Intelligence in Prostate Cancer Care: State-of-the-Art Diagnostic Tools and Future Outlook
Somya Agrawal, Sunita Vagha
Cureus (2024)
Open Access | Times Cited: 4
ProCUSNet: Prostate Cancer Detection on B-mode Transrectal Ultrasound Using Artificial Intelligence for Targeting During Prostate Biopsies
Mirabela Rusu, Hassan Jahanandish, Sulaiman Vesal, et al.
European Urology Oncology (2025)
Closed Access
Z-SSMNet: Zonal-aware Self-supervised Mesh Network for prostate cancer detection and diagnosis with Bi-parametric MRI
Yuan Yuan, Euijoon Ahn, Dagan Feng, et al.
Computerized Medical Imaging and Graphics (2025) Vol. 122, pp. 102510-102510
Open Access
PI-CAI: a landmark AI study for prostate cancer detection on MRI
Masoom A. Haider
European Radiology (2025)
Closed Access
Redefining prostate cancer care: innovations and future directions in active surveillance
Magdalena Koett, F. Melchior, Nastasiia Artamonova, et al.
Current Opinion in Urology (2025)
Closed Access
A Personalized, Risk-Based Approach to Active Surveillance for Prostate Cancer with Takeaways from Broader Oncology Practices: A Mixed Methods Review
Jeroen J. Lodder, Sebastiaan Remmers, Roderick C.N. van den Bergh, et al.
Journal of Personalized Medicine (2025) Vol. 15, Iss. 3, pp. 84-84
Open Access
Development of a deep learning-based system for aiding in the determination of Prostate Imaging Reporting and Data System (PI-RADS) scores: an international multicenter study
Mingze He, Mikhail Enikeev, R. T. Rzaev, et al.
Cancer Urology (2025) Vol. 20, Iss. 4, pp. 15-23
Open Access
Uncovering New Biomarkers for Prostate Cancer Through Proteomic and Network Analysis
Rossana Rossi, Elena Monica Borroni, Ishak Yusuf, et al.
Biology (2025) Vol. 14, Iss. 3, pp. 256-256
Open Access
Comparing and Combining Artificial Intelligence and Spectral/Statistical Approaches for Elevating Prostate Cancer Assessment in a Biparametric MRI: A Pilot Study
Rulon Mayer, Yuan Yuan, Jayaram K. Udupa, et al.
Diagnostics (2025) Vol. 15, Iss. 5, pp. 625-625
Open Access
AI and human interactions in prostate cancer diagnosis using MRI
Anwar R. Padhani, Nikolaos Papanikolaou
European Radiology (2025)
Closed Access
Artificial intelligence in radiology reports: Is it the pen or the author?
Guillaume Herpe, Maxime Ronot, Jean‐Pierre Tasu, et al.
Diagnostic and Interventional Imaging (2025)
Closed Access
Evaluating the prognostic significance of artificial intelligence-delineated gross tumor volume and prostate volume measurements for prostate radiotherapy
Jenna Adleman, Pierre-Yves McLaughlin, James Man Git Tsui, et al.
Radiotherapy and Oncology (2025), pp. 110866-110866
Closed Access
Multidisciplinary consensus prostate contours on magnetic resonance imaging: educational atlas and reference standard for artificial intelligence benchmarking
Yuze Song, Anna Dornisch, Robert T. Dess, et al.
International Journal of Radiation Oncology*Biology*Physics (2025)
Closed Access
Rectal Cancer Segmentation: A Methodical Approach for Generalizable Deep Learning in a Multi‐Center Setting
Jovana Panić, Arianna Defeudis, Lorenzo Vassallo, et al.
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 3
Open Access
External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
Mason J. Belue, Vaneeza Mukhtar, Roopa Ram, et al.
Academic Radiology (2025)
Closed Access
Artificial Intelligence Advancements in Oncology: A Review of Current Trends and Future Directions
Ellen N. Huhulea, Lillian Huang, Shirley Eng, et al.
Biomedicines (2025) Vol. 13, Iss. 4, pp. 951-951
Open Access
Impact of artificial intelligence assisted lesion detection on radiologists' interpretation at multiparametric prostate MRI
Nabih Nakrour, Rory L. Cochran, Nathaniel D. Mercaldo, et al.
Clinical Imaging (2025), pp. 110484-110484
Closed Access
Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-Naive Men: PI-RADS Steering Committee, Version 1.0
Barış Türkbey, Henkjan Huisman, Andriy Fedorov, et al.
Radiology (2025) Vol. 315, Iss. 1
Closed Access
Diagnostic performance of a fully automated AI algorithm for lesion detection and PI-RADS classification in patients with suspected prostate cancer
Hannes Engel, Andrea Nedelcu, Robert Grimm, et al.
La radiologia medica (2025)
Open Access
Enhancing Prostate Cancer Diagnosis: A Comparative Analysis of Combined Fusion and Systematic Biopsy Methods—A Single-Center Study
Emil Kania, Maciej Janica, Grzegorz Hrehoruk, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 8, pp. 2822-2822
Open Access
Integrative analysis of blood biomarkers and clinical variables improves early detection of aggressive prostate cancer
Olga Lazareva, Anja Lisa Riediger, Oliver Stegle, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Page 1 - Next Page

Scroll to top