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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.

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Showing 26-50 of 100 citing articles:

Image biomarkers and explainable AI: handcrafted features versus deep learned features
Leonardo Rundo, Carmelo Militello
European Radiology Experimental (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 7
BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation
Chenchu Xu, Yifei Wang, Dong Zhang, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 1, pp. 87-96
Closed Access | Times Cited: 25
A pathomic approach for tumor-infiltrating lymphocytes classification on breast cancer digital pathology images
Mario Verdicchio, Valentina Brancato, Carlo Cavaliere, et al.
Heliyon (2023) Vol. 9, Iss. 3, pp. e14371-e14371
Open Access | Times Cited: 14
Discriminative latent representation harmonization of multicenter medical data
Weixiong Zhong, Jincheng Xie, Ruimeng Yang, et al.
Expert Systems with Applications (2025), pp. 126659-126659
Closed Access
Revisiting medical image retrieval via knowledge consolidation
Nan Yang, Huichi Zhou, Xiaodan Xing, et al.
Medical Image Analysis (2025) Vol. 102, pp. 103553-103553
Closed Access
Artificial intelligence in breast cancer imaging: risk stratification, lesion detection and classification, treatment planning and prognosis—a narrative review
Maurizio Cè, Elena Caloro, Maria Elena Pellegrino, et al.
Exploration of Targeted Anti-tumor Therapy (2022), pp. 795-816
Open Access | Times Cited: 21
A literature survey of MR-based brain tumor segmentation with missing modalities
Tongxue Zhou, Su Ruan, Haigen Hu
Computerized Medical Imaging and Graphics (2022) Vol. 104, pp. 102167-102167
Closed Access | Times Cited: 21
Bridging Synthetic and Real Images: A Transferable and Multiple Consistency Aided Fundus Image Enhancement Framework
Erjian Guo, Huazhu Fu, Luping Zhou, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 8, pp. 2189-2199
Open Access | Times Cited: 11
Brain tumour segmentation with incomplete imaging data
James K. Ruffle, Samia Mohinta, Robert Gray, et al.
Brain Communications (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 11
PHCU-Net: A parallel hierarchical cascade U-Net for skin lesion segmentation
Jingchao Xu, Xin Wang, Wei Wang, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105262-105262
Closed Access | Times Cited: 11
Developing and deploying deep learning models in brain magnetic resonance imaging: A review
Kunal Aggarwal, Marina Manso Jimeno, Keerthi Sravan Ravi, et al.
NMR in Biomedicine (2023) Vol. 36, Iss. 12
Open Access | Times Cited: 11
Improving the Reproducibility of Computed Tomography Radiomic Features Using an Enhanced Hierarchical Feature Synthesis Network
Dawun Jeong, Youngtaek Hong, Jina Lee, et al.
IEEE Access (2024) Vol. 12, pp. 27648-27660
Open Access | Times Cited: 4
RobU-Net: a heuristic robust multi-class brain tumor segmentation approaches for MRI scans
Shahzad Ahmad Qureshi, Qurat-ul-ain Chaudhary, Romana Schirhagl, et al.
Waves in Random and Complex Media (2024), pp. 1-51
Closed Access | Times Cited: 4
Usefulness of deep learning-based noise reduction for 1.5 T MRI brain images
Taku Tajima, Hiroyuki Akai, Koichiro Yasaka, et al.
Clinical Radiology (2022) Vol. 78, Iss. 1, pp. e13-e21
Open Access | Times Cited: 18
Deep Learning in Neuroimaging: Overcoming Challenges With Emerging Approaches
Jason Smucny, Ge Shi, Ian Davidson
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 17
BAWGNet: Boundary aware wavelet guided network for the nuclei segmentation in histopathology images
Tamjid Imtiaz, Shaikh Anowarul Fattah, Sun‐Yuan Kung
Computers in Biology and Medicine (2023) Vol. 165, pp. 107378-107378
Closed Access | Times Cited: 9
A Deep Learning Harmonization of Multi-Vendor MRI for Robust Intervertebral Disc Segmentation
Chaewoo Kim, Sang‐Min Park, Sanghoon Lee, et al.
IEEE Access (2024) Vol. 12, pp. 19482-19499
Open Access | Times Cited: 3
Harmonizing heterogeneous transcriptomics datasets for machine learning-based analysis to identify spaceflown murine liver-specific changes
Hari Ilangovan, Prachi Kothiyal, Katherine A. Hoadley, et al.
npj Microgravity (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 3
Recommendations for the creation of benchmark datasets for reproducible artificial intelligence in radiology
Nikos Sourlos, Rozemarijn Vliegenthart, João Santinha, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Position of the AI for Health Imaging (AI4HI) network on metadata models for imaging biobanks
Haridimos Kondylakis, Esther Ciarrocchi, Leonor Cerdá-Alberich, et al.
European Radiology Experimental (2022) Vol. 6, Iss. 1
Open Access | Times Cited: 15
Evolutionary gravitational neocognitron neural network optimized with marine predators optimization algorithm for MRI brain tumor classification
A. Vijaya Lakshmi, Manjunathan Alagarsamy, A. Anbarasa Pandian, et al.
Electromagnetic Biology and Medicine (2024) Vol. 43, Iss. 1-2, pp. 1-18
Closed Access | Times Cited: 2
FiReS: A Semantic Model for Advanced Querying and Prediction Analysis for First Responders in Post-Disaster Response Plans.
Areti Bania, Omiros Iatrellis, Nicholas Samaras, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 109, pp. 104592-104592
Closed Access | Times Cited: 2
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge
Nan Yang, Xiaodan Xing, Shiyi Wang, et al.
Medical Image Analysis (2024) Vol. 97, pp. 103253-103253
Open Access | Times Cited: 2
Validating automated eye disease screening AI algorithm in community and in-hospital scenarios
Ruoan Han, Gangwei Cheng, Bilei Zhang, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 12
3D Brain and Heart Volume Generative Models: A Survey
Yanbin Liu, Girish Dwivedi, Farid Boussaïd, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 6, pp. 1-37
Open Access | Times Cited: 6

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