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OpenAlex Citation Counts

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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:

Semisupervised Learning with Report-guided Pseudo Labels for Deep Learning–based Prostate Cancer Detection Using Biparametric MRI
Joeran S. Bosma, Anindo Saha, Matin Hosseinzadeh, et al.
Radiology Artificial Intelligence (2023) Vol. 5, Iss. 5
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Fully Automated Deep Learning Model to Detect Clinically Significant Prostate Cancer at MRI
Jason Cai, Hirotsugu Nakai, Shiba Kuanar, et al.
Radiology (2024) Vol. 312, Iss. 2
Closed Access | Times Cited: 9
Cross‐shaped windows transformer with self‐supervised pretraining for clinically significant prostate cancer detection in bi‐parametric MRI
Yuheng Li, Jacob Wynne, Jing Wang, et al.
Medical Physics (2024) Vol. 52, Iss. 2, pp. 993-1004
Open Access | Times Cited: 7
ProstAtlasDiff: Prostate cancer detection on MRI using Diffusion Probabilistic Models guided by population spatial cancer atlases
Cynthia Li, Indrani Bhattacharya, Sulaiman Vesal, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103486-103486
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
Advancements in artificial intelligence for prostate cancer: Optimizing diagnosis, treatment, and prognostic assessment
Yuki Arita, Christian Roest, Thomas C. Kwee, et al.
Asian journal of urology (2025)
Open Access
Diagnostic Performance of Artificial Intelligence Based on Biparametric MRI for Clinically Significant Prostate Cancer: A Systematic Review and Meta-analysis
Guangzhao Yan, Yanyan Wang, Liqun Chen
Academic Radiology (2025)
Closed Access
An overview of utilizing artificial intelligence in localized prostate cancer imaging
Emma Stevenson, Ömer Tarık Esengür, Haoyue Zhang, et al.
Expert Review of Medical Devices (2025)
Closed Access
Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT
Natália Alves, Joeran S. Bosma, Kiran Vaidhya Venkadesh, et al.
Radiology (2023) Vol. 308, Iss. 3
Closed Access | Times Cited: 12
External validation of an artificial intelligence model for Gleason grading of prostate cancer on prostatectomy specimens
Bogdana Schmidt, Simon John Christoph Soerensen, Hriday P. Bhambhvani, et al.
BJU International (2024)
Open Access | Times Cited: 4
Recent trends in AI applications for pelvic MRI: a comprehensive review
Takahiro Tsuboyama, Masahiro Yanagawa, Tomoyuki Fujioka, et al.
La radiologia medica (2024) Vol. 129, Iss. 9, pp. 1275-1287
Closed Access | Times Cited: 4
Multimodal AI Combining Clinical and Imaging Inputs Improves Prostate Cancer Detection
Christian Roest, Derya Yakar, Dorjan Ivan Rener Sitar, et al.
Investigative Radiology (2024) Vol. 59, Iss. 12, pp. 854-860
Open Access | Times Cited: 2
Patient perspectives on the use of artificial intelligence in prostate cancer diagnosis on MRI
Stefan J. Fransen, Thomas C. Kwee, Dennis B. Rouw, et al.
European Radiology (2024)
Open Access | Times Cited: 2
AI-derived Tumor Volume from Multiparametric MRI and Outcomes in Localized Prostate Cancer
David D. Yang, Leslie K. Lee, James Tsui, et al.
Radiology (2024) Vol. 313, Iss. 1
Closed Access | Times Cited: 2
SAM-UNETR: Clinically Significant Prostate Cancer Segmentation Using Transfer Learning From Large Model
Jesús Alejandro Alzate-Grisales, Alejandro Mora-Rubio, Francisco García‐García, et al.
IEEE Access (2023) Vol. 11, pp. 118217-118228
Open Access | Times Cited: 5
Equilibrium Optimization Algorithm with Deep Learning Enabled Prostate Cancer Detection on MRI Images
Eunmok Yang, K. Shankar, Sachin Kumar, et al.
Biomedicines (2023) Vol. 11, Iss. 12, pp. 3200-3200
Open Access | Times Cited: 5
Exploring transformer reliability in clinically significant prostate cancer segmentation: A comprehensive in-depth investigation
Gustavo Andrade-Miranda, Pastora Vega, Kamilia Taguelmimt, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 118, pp. 102459-102459
Closed Access | Times Cited: 1
An Automated Prostate-cancer Prediction System (APPS) Based on Advanced DFO-ConGA2L Model using MRI Imaging Technique
Shakirov Vyacheslav E., Nattar Kannan Kaliappan
Iraqi Journal for Computer Science and Mathematics (2024) Vol. 5, Iss. 1, pp. 326-341
Open Access
Using deep learning to optimize the prostate MRI protocol by assessing the diagnostic efficacy of MRI sequences
Stefan J. Fransen, Christian Roest, Quintin van Lohuizen, et al.
European Journal of Radiology (2024) Vol. 175, pp. 111470-111470
Open Access
Cascaded Architecture for Segmenting Prostate Cancer Lesions in Biparametric MRI
Chaloemphon Thipkasorn, Sitthichok Chaichulee, Tanan Bejrananda, et al.
(2024), pp. 167-173
Closed Access
Deep Learning–based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Biparametric MRI Datasets
Hao Li, Han Liu, Heinrich von Busch, et al.
Radiology Artificial Intelligence (2024) Vol. 6, Iss. 5
Open Access
Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data
Nuno M. Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108216-108216
Open Access
Self-Supervised Learning for Volumetric Imaging: A Prostate Cancer Biparametric Magnetic Resonance Imaging Case Study
José Guilherme de Almeida, Ana Sofia Castro Verde, Ana Mascarenhas Gaivão, et al.
(2024)
Closed Access
Location-Based Radiology Report-Guided Semi-Supervised Learning for Prostate Cancer Detection
Alex Chen, Nathan Lay, Stephanie Harmon, et al.
(2024), pp. 1-5
Open Access
Efficient data labeling strategies for automated muscle segmentation in lower leg MRIs of Charcot-Marie-Tooth disease patients
Seung‐Ah Lee, Hyun Su Kim, Ehwa Yang, et al.
PLoS ONE (2024) Vol. 19, Iss. 9, pp. e0310203-e0310203
Open Access
Boosting Deep Learning for Interpretable Brain MRI Lesion Detection through the Integration of Radiology Report Information
Lisong Dai, Jiayu Lei, Fenglong Ma, et al.
Radiology Artificial Intelligence (2024) Vol. 6, Iss. 6
Closed Access
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