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:
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art
Ioannis Lagogiannis, Felix Meissen, Georgios Kaissis, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 1, pp. 241-252
Open Access | Times Cited: 15
Ioannis Lagogiannis, Felix Meissen, Georgios Kaissis, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 1, pp. 241-252
Open Access | Times Cited: 15
Showing 15 citing articles:
MedIAnomaly: A comparative study of anomaly detection in medical images
Yu Cai, Weiwen Zhang, Hao Chen, et al.
Medical Image Analysis (2025) Vol. 102, pp. 103500-103500
Open Access | Times Cited: 1
Yu Cai, Weiwen Zhang, Hao Chen, et al.
Medical Image Analysis (2025) Vol. 102, pp. 103500-103500
Open Access | Times Cited: 1
Towards consistent representation for reverse distillation on lung CT-scan images
Zuoyong Li, Shicheng Xu, Wei Li, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107767-107767
Closed Access
Zuoyong Li, Shicheng Xu, Wei Li, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107767-107767
Closed Access
Guided reconstruction with conditioned diffusion models for unsupervised anomaly detection in brain MRIs
Finn Behrendt, Debayan Bhattacharya, Robin Mieling, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109660-109660
Open Access
Finn Behrendt, Debayan Bhattacharya, Robin Mieling, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109660-109660
Open Access
Local salient location-aware anomaly mask synthesis for pulmonary disease anomaly detection and lesion localization in CT images
Huaying Hao, Yitian Zhao, Shaoyi Leng, et al.
Medical Image Analysis (2025) Vol. 102, pp. 103523-103523
Closed Access
Huaying Hao, Yitian Zhao, Shaoyi Leng, et al.
Medical Image Analysis (2025) Vol. 102, pp. 103523-103523
Closed Access
Benchmarking Anomaly Detection Methods for Extracardiac Findings in Cardiac MRI
Edgar Pinto, Patricia Costa, Catarina Silva, et al.
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 4027-4027
Open Access
Edgar Pinto, Patricia Costa, Catarina Silva, et al.
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 4027-4027
Open Access
(Predictable) performance bias in unsupervised anomaly detection
Felix Meissen, Svenja Breuer, Moritz Knolle, et al.
EBioMedicine (2024) Vol. 101, pp. 105002-105002
Open Access | Times Cited: 3
Felix Meissen, Svenja Breuer, Moritz Knolle, et al.
EBioMedicine (2024) Vol. 101, pp. 105002-105002
Open Access | Times Cited: 3
DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection
Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, et al.
(2024), pp. 1-5
Open Access | Times Cited: 3
Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, et al.
(2024), pp. 1-5
Open Access | Times Cited: 3
Non-Generative Artificial Intelligence (AI) in Medicine: Advancements and Applications in Supervised and Unsupervised Machine Learning
Liron Pantanowitz, Thomas M. Pearce, Ibrahim Abukhiran, et al.
Modern Pathology (2024), pp. 100680-100680
Open Access | Times Cited: 3
Liron Pantanowitz, Thomas M. Pearce, Ibrahim Abukhiran, et al.
Modern Pathology (2024), pp. 100680-100680
Open Access | Times Cited: 3
Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection
Finn Behrendt, Debayan Bhattacharya, Lennart Maack, et al.
(2024), pp. 1-4
Open Access | Times Cited: 1
Finn Behrendt, Debayan Bhattacharya, Lennart Maack, et al.
(2024), pp. 1-4
Open Access | Times Cited: 1
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, et al.
Lecture notes in computer science (2024), pp. 243-253
Closed Access | Times Cited: 1
Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, et al.
Lecture notes in computer science (2024), pp. 243-253
Closed Access | Times Cited: 1
Design of an Improved Graph-Based Model for Real-Time Anomaly Detection in Healthcare Using Hybrid CNN-LSTM and Federated Learning
G. Muni Nagamani, Chanumolu Kiran Kumar
Heliyon (2024) Vol. 10, Iss. 24, pp. e41071-e41071
Closed Access | Times Cited: 1
G. Muni Nagamani, Chanumolu Kiran Kumar
Heliyon (2024) Vol. 10, Iss. 24, pp. e41071-e41071
Closed Access | Times Cited: 1
Image-Conditioned Diffusion Models for Medical Anomaly Detection
Matthew Baugh, Hadrien Reynaud, Sergio Naval Marimont, et al.
Lecture notes in computer science (2024), pp. 117-127
Closed Access
Matthew Baugh, Hadrien Reynaud, Sergio Naval Marimont, et al.
Lecture notes in computer science (2024), pp. 117-127
Closed Access
Leveraging the Mahalanobis Distance to Enhance Unsupervised Brain MRI Anomaly Detection
Finn Behrendt, Debayan Bhattacharya, Robin Mieling, et al.
Lecture notes in computer science (2024), pp. 394-404
Closed Access
Finn Behrendt, Debayan Bhattacharya, Robin Mieling, et al.
Lecture notes in computer science (2024), pp. 394-404
Closed Access
Clinically Focussed Evaluation of Anomaly Detection and Localisation Methods Using Inpatient CT Head Data
Antanas Kascenas, Chaoyang Wang, Patrick Schrempf, et al.
Lecture notes in computer science (2024), pp. 63-72
Closed Access
Antanas Kascenas, Chaoyang Wang, Patrick Schrempf, et al.
Lecture notes in computer science (2024), pp. 63-72
Closed Access
Beyond Heatmaps: A Comparative Analysis of Metrics for Anomaly Localization in Medical Images
David Zimmerer, Klaus Maier‐Hein
Lecture notes in computer science (2024), pp. 138-148
Closed Access
David Zimmerer, Klaus Maier‐Hein
Lecture notes in computer science (2024), pp. 138-148
Closed Access
