Antonio Luna

3.2k total citations
135 papers, 1.9k citations indexed

About

Antonio Luna is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Surgery. According to data from OpenAlex, Antonio Luna has authored 135 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Artificial Intelligence and 22 papers in Surgery. Recurrent topics in Antonio Luna's work include Radiomics and Machine Learning in Medical Imaging (33 papers), MRI in cancer diagnosis (26 papers) and Advanced MRI Techniques and Applications (18 papers). Antonio Luna is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (33 papers), MRI in cancer diagnosis (26 papers) and Advanced MRI Techniques and Applications (18 papers). Antonio Luna collaborates with scholars based in Spain, United States and United Kingdom. Antonio Luna's co-authors include Teodoro Martín‐Noguerol, Joan C. Vilanova, Pilar López‐Úbeda, Sandra Baleato‐González, Roberto García‐Figueiras, María Teresa Martín Valdivia, Félix Paulano‐Godino, Christine O. Menias, Anwar R. Padhani and Mariano Socolovsky and has published in prestigious journals such as Radiology, American Journal Of Pathology and Expert Systems with Applications.

In The Last Decade

Antonio Luna

125 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Antonio Luna Spain 24 900 380 339 243 242 135 1.9k
Felix Nensa Germany 30 1.8k 2.0× 374 1.0× 638 1.9× 255 1.0× 299 1.2× 167 2.9k
Valeria Romeo Italy 26 1.1k 1.3× 359 0.9× 513 1.5× 247 1.0× 243 1.0× 103 2.0k
Noriyuki Fujima Japan 25 1.1k 1.2× 232 0.6× 258 0.8× 189 0.8× 167 0.7× 116 1.8k
Sergios Gatidis Germany 32 1.9k 2.2× 258 0.7× 615 1.8× 313 1.3× 527 2.2× 168 3.4k
Özgür Kılıçkesmez Türkiye 24 1.3k 1.5× 300 0.8× 604 1.8× 133 0.5× 281 1.2× 87 1.8k
Anton S. Becker Switzerland 28 1.4k 1.6× 466 1.2× 955 2.8× 488 2.0× 357 1.5× 135 3.0k
Alexander Sauter Germany 27 1.5k 1.6× 248 0.7× 487 1.4× 161 0.7× 536 2.2× 115 2.8k
Burak Koçak Türkiye 25 1.5k 1.7× 178 0.5× 727 2.1× 294 1.2× 463 1.9× 80 2.2k
Grace Hyun J. Kim United States 27 785 0.9× 179 0.5× 974 2.9× 133 0.5× 128 0.5× 88 2.2k
Augustin Lecler France 20 670 0.7× 136 0.4× 436 1.3× 154 0.6× 170 0.7× 113 1.7k

Countries citing papers authored by Antonio Luna

Since Specialization
Citations

This map shows the geographic impact of Antonio Luna's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Antonio Luna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Luna more than expected).

Fields of papers citing papers by Antonio Luna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Luna. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Antonio Luna. The network helps show where Antonio Luna may publish in the future.

Co-authorship network of co-authors of Antonio Luna

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Luna. A scholar is included among the top collaborators of Antonio Luna based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Antonio Luna. Antonio Luna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
López‐Úbeda, Pilar, Teodoro Martín‐Noguerol, & Antonio Luna. (2025). Natural language processing and LLMs in liver imaging: a practical review of clinical applications. Abdominal Radiology. 51(3). 1595–1607.
2.
Ronot, Maxime, Michael Wells, Antonio Luna, et al.. (2025). Hypointense Findings on Hepatobiliary Phase MR Images. Radiographics. 45(2). e240090–e240090.
3.
López‐Úbeda, Pilar, Teodoro Martín‐Noguerol, & Antonio Luna. (2025). Is multimodality part of the solution to prevent another AI winter?. 2. 100022–100022. 1 indexed citations
4.
Martín‐Noguerol, Teodoro, et al.. (2024). When advanced MRI is not about naming musculoskeletal lesions. British Journal of Radiology. 97(1162). 1619–1621.
5.
Pedret, Carles, Ricard Pruna, Xavier Alomar, et al.. (2024). Muscle Healing in Sports Injuries: MRI Findings and Proposed Classification Based on a Single Institutional Experience and Clinical Observation. Radiographics. 44(8). e230147–e230147. 7 indexed citations
6.
López‐Úbeda, Pilar, et al.. (2024). Evaluation of large language models performance against humans for summarizing MRI knee radiology reports: A feasibility study. International Journal of Medical Informatics. 187. 105443–105443. 12 indexed citations
7.
López‐Úbeda, Pilar, Teodoro Martín‐Noguerol, Manuel Carlos Díaz–Galiano, et al.. (2024). Automatic TNM staging of colorectal cancer radiology reports using pre-trained language models. Computer Methods and Programs in Biomedicine. 259. 108515–108515. 3 indexed citations
8.
López‐Úbeda, Pilar, Teodoro Martín‐Noguerol, Alfredo Escartín, Alberto Cabrera‐Zubizarreta, & Antonio Luna. (2024). Automated MRI pituitary structured reporting from free-text using a fine-tuned Llama model: a feasibility study. Japanese Journal of Radiology. 43(5). 770–778.
9.
García‐Figueiras, Roberto, Laura Oleaga, Jordi Broncano, et al.. (2024). What to Expect (and What Not) from Dual-Energy CT Imaging Now and in the Future?. Journal of Imaging. 10(7). 154–154. 3 indexed citations
10.
Martín‐Noguerol, Teodoro, et al.. (2024). Understanding Visual Disorders through Correlation of Clinical and Radiologic Findings. Radiographics. 44(2). e230081–e230081. 1 indexed citations
11.
Martín‐Noguerol, Teodoro, et al.. (2023). How to do and evaluate DWI and DCE-MRI sequences for diabetic foot assessment. Skeletal Radiology. 53(10). 1979–1990. 2 indexed citations
12.
López‐Úbeda, Pilar, Teodoro Martín‐Noguerol, & Antonio Luna. (2023). Radiology in the era of large language models: the near and the dark side of the moon. European Radiology. 33(12). 9455–9457. 14 indexed citations
13.
López‐Úbeda, Pilar, Teodoro Martín‐Noguerol, & Antonio Luna. (2023). Automatic classification and prioritisation of actionable BI-RADS categories using natural language processing models. Clinical Radiology. 79(1). e1–e7. 4 indexed citations
14.
Baleato‐González, Sandra, et al.. (2023). Current and Advanced Applications of Gadoxetic Acid–enhanced MRI in Hepatobiliary Disorders. Radiographics. 43(4). e220087–e220087. 7 indexed citations
15.
Martín‐Noguerol, Teodoro, Pilar López‐Úbeda, & Antonio Luna. (2023). Artificial Intelligence in Radiology: A Fast-Food Versus Slow-Food Question?. Journal of the American College of Radiology. 21(5). 810–811. 1 indexed citations
16.
Luna, Antonio, et al.. (2021). Teleconsultation during a pandemic. Experience of developmental pediatricians at Hospital de Pediatría “Prof. Dr. Juan P. Garrahan”. Archivos Argentinos de Pediatria. 119(6). 419–423. 2 indexed citations
17.
Retámero, Juan Antonio, et al.. (2021). Artificial Intelligence–assisted Prostate Cancer Diagnosis: Radiologic-Pathologic Correlation. Radiographics. 41(6). 1676–1697. 23 indexed citations
18.
López‐Úbeda, Pilar, Manuel Carlos Díaz–Galiano, Teodoro Martín‐Noguerol, et al.. (2021). Automatic medical protocol classification using machine learning approaches. Computer Methods and Programs in Biomedicine. 200. 105939–105939. 29 indexed citations
19.
Martín‐Noguerol, Teodoro, et al.. (2021). Conventional and advanced MRI evaluation of brain vascular malformations. Journal of Neuroimaging. 31(3). 428–445. 6 indexed citations
20.
López‐Úbeda, Pilar, et al.. (2020). Transfer learning applied to text classification in Spanish radiological reports. Language Resources and Evaluation. 29–32. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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