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dr.antonio luna_htmedica

Dr. Antonio Luna Alcalá

Director Científico y CMO de HT Médica
Radiólogo

Perfil profesional

El Dr. Antonio Luna Alcalá es radiólogo especializado en diagnóstico por imagen avanzado, con especial dedicación a la resonancia magnética (RM) abdominal, oncológica, prostática y cardiaca. Es Director Científico y CMO de HT Médica, donde ha desarrollado una trayectoria vinculada a la práctica clínica, la gestión de servicios de radiología, la investigación, la innovación y la formación médica. Su actividad científica internacional se centra especialmente en la resonancia magnética avanzada, la imagen funcional, los biomarcadores de imagen, la inteligencia artificial aplicada a la radiología y el diagnóstico del cáncer de próstata.

Actualidad profesional

  • Director Científico y CMO, HT Médica · 2000–actualidad
  • Presidente, HT Médica · 2024–2026
  • Miembro del Consejo de Administración, HT Médica · 2009–actualidad
  • Radiólogo especializado en imagen abdominal, HT Médica · 2000–actualidad
  • Fundador y miembro del Consejo de Cells-IA · 2021–actualidad
  • Board Member, Cells-IA · 2021–actualidad
  • Clinical Assistant Professor, Case Western Reserve University / University Hospitals Cleveland Medical Center, Cleveland, Estados Unidos · 2012–2019

Áreas de especialización

  • Resonancia magnética avanzada y de alto campo
  • Resonancia magnética abdominal y hepatobiliar
  • Resonancia magnética multiparamétrica de próstata
  • Imagen oncológica y medicina personalizada
  • Resonancia magnética cardiaca
  • Imagen funcional y difusión (DWI)
  • Biomarcadores de imagen y análisis cuantitativo
  • Inteligencia artificial aplicada al diagnóstico por imagen
  • Procesamiento del lenguaje natural y modelos de lenguaje (LLM) aplicados a radiología
  • Gestión de servicios de radiología, PACS, RIS y teleradiología

Formación académica

  • Doctor en Radiología, Universidad de Málaga · 2016. Tesis doctoral: «Optimization of the Design and Analysis of DWI for the Detection of Prostate Carcinoma».
  • Senior Management Program for Healthcare Entities, IESE Business School · 2019
  • Especialista en Radiología · Residencia en Hospital General Universitario Gregorio Marañón, Madrid, 1996–2000
  • Doctorado: formación doctoral en Física y Ciencias Radiológicas, Universidad Complutense de Madrid · 1997–1999
  • Visiting Fellowship in Musculoskeletal Radiology, Duke University Medical Center, Durham, Estados Unidos · 1998
  • Primer año de residencia en Oncología Radioterápica, Hospital Universitario 12 de Octubre, Madrid · 1995–1996
  • Licenciado en Medicina y Cirugía, Universidad de Granada · 1988–1994

Actividad científica internacional

Radiological Society of North America (RSNA). Participación continuada en reuniones anuales desde 1996, actividad como faculty y moderador, participación en comités científicos y educativos y colaboración editorial.

Faculty invitado en reuniones anuales de RSNA y otros encuentros internacionales.

Miembro del RadioGraphics Abdominal Imaging Panel y de comités de revisión y premios educativos de imagen gastrointestinal.

Abstract Reviewer del GI Committee.

Invited moderator en sesiones de RadioGraphics.

Actividad internacional vinculada a RadioGraphics y a iniciativas de colaboración editorial.

Lifetime Honored Educator Award, RSNA, 2022. Reconocimiento internacional a su trayectoria docente; previamente recibió el Honored Educator Award en 2018, 2019, 2020 y 2021.

Actividad editorial

  • International Associate Editor, RadioGraphics · 2022–actualidad
  • Editorial Board Member, RadioGraphics · 2016–actualidad
  • Abdominal Imaging Associate Editor, RadioGraphics · 2021–2022
  • Abdominal Imaging Assistant Editor, RadioGraphics · 2016–2021
  • Reviewer, RadioGraphics · 2016–2024
  • Reviewer, RSNA Case Collection · 2020–2021
  • Editorial Board / Reviewer · World Journal of Orthopedics, World Journal of Radiology, AJR, European Journal of Radiology, European Radiology y otras publicaciones científicas internacionales

Investigación e innovación

La trayectoria investigadora del Dr. Antonio Luna se ha desarrollado en torno a la resonancia magnética avanzada, la difusión, la imagen funcional, la oncología, el cáncer de próstata y la inteligencia artificial aplicada al diagnóstico por imagen.

DWI TSE: distortion-free diffusion in oncology · Proyecto CDTI, 2018

Texture analysis in multiparametric MRI for prostate cancer detection · Proyecto CDTI, 2018

Whole-body MRI with TSE DWI sequence · Industry Grant SERAM, 2016

3D printing in the presurgical evaluation of hepatic and pulmonary tumors · Interconnecta, 2015

Cells-IA. Fundador y miembro del Consejo de la compañía dedicada al desarrollo de soluciones de inteligencia artificial y patología computacional.

Actividad docente y liderazgo educativo

34 cursos dirigidos a lo largo de su trayectoria, incluyendo 16 ediciones del Advanced Medical Imaging Techniques Course, 9 ediciones del Functional and Molecular Imaging Course, cursos de RM cardiaca, Medical English y formación SERAM.

Director del I Course Photon Counting, 2026.

Director del XVI Advanced Medical Imaging Techniques Course, 2025.

Director del I Course FASTMRI: Protocol optimization and accelerated MRI acquisitions, 2023.

Director de cursos internacionales y nacionales de imagen médica avanzada, imagen funcional y molecular e imagen oncológica.

Faculty invitado en RSNA, ECR, ESUR, ESGAR, SAR, JPR y otros congresos y reuniones científicas internacionales.

Liderazgo profesional e industria

  • Digital Advisory Board Member, Siemens Healthineers · 2021–2026
  • Medical Advisory Board Member, Olea Medical · 2021–2026
  • Strategic Board Member, ANA Healthcare · 2024–2026
  • Strategic partnerships for MRI, CT and ultrasound imaging development · Canon Medical Systems, 2019–2026
  • Research agreements for cardiac MRI sequences development and testing · Philips, 2023–2026
  • Colaboración en el desarrollo del prototipo Digital Oncology CT Liver · Siemens Healthineers, 2020–2022

Reconocimientos científicos

  • Lifetime Honored Educator Award, RSNA, 2022.
  • Más de 30 reconocimientos y premios en Education Exhibits de RSNA, incluyendo Cum Laude, Magna Cum Laude y Certificate of Merit.
  • Reconocimientos científicos en congresos de la SERAM y otras sociedades radiológicas.

Producción científica

146 artículos científicos revisados por pares y 7 libros especializados. Su producción científica aborda especialmente la resonancia magnética avanzada, difusión, imagen funcional, oncología, cáncer de próstata, biomarcadores e inteligencia artificial aplicada al diagnóstico por imagen.

Sociedades científicas

Miembro activo o histórico de sociedades científicas internacionales y nacionales, entre ellas la Radiological Society of North America (RSNA), European Society of Radiology (ESR), International Cancer Imaging Society (ICIS), European Society of Breast Imaging (EUSOBI), Society of Abdominal Radiology (SAR), European Society of Urogenital Radiology (ESUR).

Publicaciones científicas

146 artículos científicos revisados por pares y 7 libros especializados. Selecciona un periodo para consultar las referencias completas.

2021–2026101 artículos
  1. Lopez-Ubeda P, Martin-Noguerol T, Luna A. Natural language processing and LLMs in liver imaging: a practical review of clinical applications. Abdominal Radiology. 2026. 51(3):1595-1607. doi: 10.1007/s00261-025-05127-z. · 2026
  2. Martin-Noguerol T, Lopez-Ubeda P, Luna A. From GPS to ChatGPT in radiology… dumb and dumber? Journal of the American College of Radiology. 2026. 23(2):303-305. doi: 10.1016/j.jacr.2025.09.014. · 2026
  3. Lopez-Ubeda P, Martin-Noguerol T, Luna A. From task-specific models to generative AI: rethinking radiology’s technological roadmap. Academic Radiology. 2026. 33(3):759-761. doi: 10.1016/j.acra.2025.10.026. · 2026
  4. Martin-Noguerol T, Casado-Verdugo OL, Alvarez-de-Sierra-Garcia B, […] Luna A. The three futures of bone marrow imaging: a radiologist’s guide. British Journal of Radiology. 2026. 99(1177):1-13. doi: 10.1093/bjr/tqaf262. · 2026
  5. Broncano J, Adrian Royuela S, Javier, […] Luna A. Role of MRI in interstitial lung diseases. Chest. 2026. 169(3):698-709. doi: 10.1016/j.chest.2025.09.143. · 2026
  6. Martin-Noguerol T, Lopez-Ubeda P, Luna A. OK, we got it—ChatGPT can perform the same tasks that we can—let us move forward. Academic Radiology. 2025. 33(2):427-428. doi: 10.1016/j.acra.2025.10.055. · 2026
  7. Martin-Noguerol T, Lopez-Ubeda P, Luna A. Radiology board-style exams and LLMs: a scoping review of model performance. Journal of the American College of Radiology. 2026. S1546-1440(26)00039-6. doi: 10.1016/j.jacr.2026.01.017. · 2026
  8. Martin-Noguerol T, Santos E, Escartin J, […] Cabrera-Zubizarreta A. The multiverse of mismatchness in neuroradiology for stroke assessment: a narrative review. European Radiology. 2026. doi: 10.1007/s00330-026-12319-8. · 2026
  9. Lopez-Ubeda P, Martin-Noguerol T, Luna A. Environmental and economic costs behind LLMs. International Journal of Computer Assisted Radiology and Surgery. 2026. doi:10.1007/s11548-026-03568-5. · 2026
  10. Martin-Noguerol T, Lopez-Ubeda P, Escartin J, […] Luna A. High accuracy but low explainability: the challenge of XAI in multiple sclerosis assessment from MRI radiology reports. Seminars in Ultrasound CT and MRI. 2026. S0887-2171(26)00003-X. doi: 10.1053/j.sult.2026.01.003. · 2026
  11. Lopez-Ubeda P, Martin-Noguerol T, Luna A. Integrating semantic retrieval and chain-of-thought reasoning in small language models for SNOMED CT normalization. International Journal of Medical Informatics. 2026. 211:106340. doi: 10.1016/j.ijmedinf.2026.106340. · 2026
  12. Martin-Noguerol T, Lopez-Ubeda P, Barrientos-Manrique EA, […] Luna A. Towards automated FIGO staging in radiology: the role of LLMs in cervical and endometrial cancer. Academic Radiology. 2026. S1076-6332(26)00051-6. doi: 10.1016/j.acra.2026.01.024. · 2026
  13. Martín-Noguerol T, López-Úbeda P, Luna A. Rethinking "Useful" and "Useless" AI in radiology. Curr Probl Diagn Radiol. 2026 Mar 11:S0363-0188(26)00043-5. doi:10.1067/j.cpradiol.2026.03.002. · 2026
  14. Lopez-Ubeda P, Martin-Noguerol T, Luna A. Objective quality assessment of neuroradiology reports using large language models. Clinical Radiology. 2026. 96:107291. doi:10.1016/j.crad.2026.107291. · 2026
  15. Lopez-Ubeda P, Martin-Noguerol T, Ruiz-Vinuesa A, Luna A. The added value of including thyroid nodule features into large language models for automatic ACR TI-RADS classification based on ultrasound reports. Japanese Journal of Radiology. 2025. 43(4):593-602. doi: 10.1007/s11604-024-01707-z. · 2025
  16. Martin-Noguerol T, Lopez-Ubeda P, Paulano-Godino F, Luna A. Manual data labeling, radiology, and artificial intelligence: it is a dirty job, but someone has to do it. Magnetic Resonance Imaging. 2025. · 2025
  17. Chizhikova M, Lopez-Ubeda P, Martin-Noguerol T, Diaz-Galiano MC, Urena-Lopez LA, Luna A., Martin-Valdivia MT. Automatic TNM staging of colorectal cancer radiology reports using pre-trained language models. Computer Methods and Programs in Biomedicine. 2025. 259:108515. doi: 10.1016/j.cmpb.2024.108515. · 2025
  18. Lopez-Ubeda P, Martin-Noguerol T, Escartin J, […] Luna A. Automated MRI pituitary structured reporting from free-text using a fine-tuned Llama model: a feasibility study. Japanese Journal of Radiology. 2025. 43(5):770-778. doi: 10.1007/s11604-024-01721-1. · 2025
  19. Martin-Noguerol T, Lopez-Ubeda P, Luna A. Not all that glitters is gold, nor all AI a large language soul. Journal of the American College of Radiology. 2025. 22(7):713-714. doi:10.1016/j.jacr.2025.04.010. · 2025
  20. Hygino da Cruz LC, Luna A. Mentoring program: bridging gaps for international authors. Radiology Advances. 2025. 2(1):umae036. doi: 10.1093/radadv/umae036. · 2025
  21. Harper KC, Ronot M, Wells ML, Luna A, Ba-Ssalamah A, Wang J, Welle CL, Silva AC, Fidler J, Venkatesh SK. Hypointense findings on hepatobiliary phase MR images. Radiographics. 2025. 45(2):e240090. doi: 10.1148/rg.240090. · 2025
  22. Martín-Noguerol T, López-Úbeda P, Luna A. Bidirectional Encoder Representations From Transformers, Bias, and Babel's Tower in Radiology. J Am Coll Radiol. 2025 May;22(5):519. doi:10.1016/j.jacr.2024.12.012. · 2025
  23. Aneiros-Fernandez J, Montero Pavon P, Garcia Gomez N, […] Berbis MA. Rapid and efficient screening of Helicobacter pylori in gastric samples stained with Warthin-Starry using deep learning. Diagnostics. 2025. 15(9):1085. doi: 10.3390/diagnostics15091085. · 2025
  24. Lopez-Ubeda P, Martin-Noguerol T, Luna A. Is multimodality part of the solution to prevent another AI winter? European Journal of Radiology Artificial Intelligence. 2025. · 2025
  25. Broncano J, Cabrero J, Muller Bravo G, Luna A. Clinical applications of four-dimensional flow MRI. Radiología (English Edition). 2025. 67(3):413-429. doi: 10.1016/j.rxeng.2024.05.008. · 2025
  26. Barrio Alonso AI, Broncano Cabrero J, Villan Gonzalez AM, […] Luna A. Thoracic pain: from guidelines to clinical practice. Radiología (English Edition). 2025. 67(3):399-412. doi: 10.1016/j.rxeng.2024.05.007. · 2025
  27. Barrio Alonso AI, Broncano J, Stojanovska J, […] Luna A. Role of cardiac imaging in myocardial infarction with non-obstructive coronary arteries. Echocardiography. 2025. 42(6):e70198. doi: 10.1111/echo.70198. · 2025
  28. Martin-Noguerol T, Diaz-Angulo C, Luna A, […] Gorriz JM. Image-based AI tools in peripheral nerve assessment: current status and integration strategies—a narrative review. European Journal of Radiology. 2025. 190:112255. doi: 10.1016/j.ejrad.2025.112255. · 2025
  29. Martin-Noguerol T, Lopez-Ubeda P, Luna A. AI is not always the enemy: please, disambiguate before you hate. Academic Radiology. 2025. 32(8):4345-4346. doi: 10.1016/j.acra.2025.06.028. · 2025
  30. Garcia R, Baleato-Gonzalez S, Kim DH, […] Luna A. MRI’s evolving role in rectal cancer in the era of personalized medicine. Abdominal Radiology. 2025. 51(2):523-544. doi: 10.1007/s00261-025-05064-x. · 2025
  31. Martin-Noguerol T, Lopez-Ubeda P, Luna A, […] Gorriz JM. Role of large language models for suggesting nerve involvement in upper limb MRI reports with muscle denervation signs. Clinical Neuroradiology. 2025. 35(4):715-724. doi: 10.1007/s00062-025-01533-4. · 2025
  32. Lopez-Ubeda P, Martin-Noguerol T, Luna A. Natural language processing evaluation of trends in cervical cancer incidence in radiology reports: a ten-year survey. Abdominal Radiology. 2025. 31 Suppl 2:103117. doi: 10.1016/j.radi.2025.103117. · 2025
  33. Cobo Gomez N, Broncano G, Muller Bravo G, Luna A. Main clinical applications of parametric mapping techniques in cardiac MRI. Revista de Ecocardiografía Práctica y Otras Técnicas de Imagen Cardíaca. 2025. · 2025
  34. Luna A. Active learning in radiology: an opportunity to turn daily reads into artificial intelligence training. American Journal of Roentgenology. 2025. 225(5):e2533761. doi: 10.2214/AJR.25.33761. · 2025
  35. Martin-Noguerol T, Lopez-Ubeda P, Diaz-Angulo C, Luna A. Lexomics, or why to extract relevant information from radiology reports through LLMs. International Journal of Computer Assisted Radiology and Surgery. 2025. doi: 10.1007/s11548-025-03521-y. · 2025
  36. Martin-Noguerol T, Paulano-Godino F, Lopez-Ubeda P, […] Luna A. Relevance of advanced imaging analysis units in radiology departments: a narrative review. International Journal of Computer Assisted Radiology and Surgery. 2025. doi: 10.1007/s11548-025-03529-4 · 2025
  37. Escartin J, Lopez-Ubeda P, Martin-Noguerol T, Luna A. Role of large language models for etiological classification of brain stroke based on MRI brain reports: a feasibility study. Magnetic Resonance Imaging. 2025. 124:110538. doi: 10.1016/j.mri.2025.110538 · 2025
  38. Lopez-Ubeda P, Martin-Noguerol T, Luna A. Mistral in radiology: AI-powered classification of normal and abnormal reports. International Journal of Imaging Systems and Technology. 2025. · 2025
  39. Diaz Angulo C, Martin-Noguerol T, Paulano-Godino F, […] Luna A. Performance comparison between two versions of a commercial artificial intelligence system for chest radiograph interpretation: a multicenter study. Journal of Imaging Informatics in Medicine. 2025. doi: 10.1007/s10278-025-01731-z. · 2025
  40. Martin-Noguerol T, Santos E, Zhu D, […] Luna A. Photon-counting CT in neuroradiology: a comprehensive SWOT analysis. European Radiology. 2025. doi: 10.1007/s00330-025-12229-1. · 2025
  41. Martin-Noguerol T, Lopez-Ubeda P, Pons Escoda A, Luna A. Natural language processing deep learning models for the differential between high-grade gliomas and metastasis: what if the key is how we report them? European Radiology. 2024. 34(3):2113-2120. doi: 10.1007/s00330-023-10202-4. · 2024
  42. Lopez-Ubeda P, Martin-Noguerol T, Luna A. Automatic classification and prioritization of actionable BI-RADS categories using natural language processing models. Clinical Radiology. 2024. 79(1):e1-e7. doi: 10.1016/j.crad.2023.09.009. · 2024
  43. Martin-Noguerol T, Lopez-Ubeda P, Luna A. Artificial intelligence in radiology: a fast-food vs slow-food question? Journal of the American College of Radiology. 2024. 21(5):810-811. doi: 10.1016/j.jacr.2023.04.023. · 2024
  44. Lopez-Ubeda P, Martin-Noguerol T, Escartin J, Luna A. Automatic generation of conclusions from neuroradiology MRI reports through natural language processing. Neuroradiology. 2024. 66(4):477-485. doi: 10.1007/s00234-024-03312-3. · 2024
  45. Martin-Noguerol T, Lopez-Ubeda P, Diaz-Angulo C, Luna A. Evaluation of large language models performance against humans for summarizing MRI knee radiology reports: a feasibility study. International Journal of Medical Informatics. 2024. 187:105443. doi: 10.1016/j.ijmedinf.2024.105443. · 2024
  46. Garcia-Ruiz A, Pons-Escoda A, Grussu F, Naval-Baudin P, Monreal-Aguero C, Hermann G, Karunamuni R, Ligero M, Lopez-Rueda A, Oleaga L, Berbis MA, Cabrera-Zubizarreta A, Martin-Noguerol T, Luna A., Seibert TM, Majos C, Perez-Lopez R. An accessible deep learning tool for voxel-wise classification of brain malignancies from perfusion MRI. Cell Reports Medicine. 2024. 5(3):101464. doi: 10.1016/j.xcrm.2024.101464. · 2024
  47. Broncano J, Shanta Rajiah P, Vargas D, […] Luna A. Multimodality imaging of infective endocarditis. Radiographics. 2024. 44(3):e230031. doi: 10.1148/rg.230031. · 2024
  48. Martin-Noguerol T, Lopez-Ubeda P, Luna A. Imagine there’s no paperwork… it’s easy if you try. British Journal of Radiology. 2024. 97(1156):744-746. doi: 10.1093/bjr/tqae035 · 2024
  49. Maciag EJ, Martin-Noguerol T, Ortiz-Perez S, […] Luna A. Understanding visual disorders through correlation of clinical and radiologic findings. Radiographics. 2024. 44(2):e230081. doi: 10.1148/rg.230081. · 2024
  50. Garcia R, Baleato-Gonzalez S, Luna A, […] Gomez Caamano A. How imaging advances are defining the future of precision radiation therapy. Radiographics. 2024. 44(2):e230152. doi: 10.1148/rg.230152. · 2024
  51. Martin-Noguerol T, Cabrera-Zubizarreta A, Luna A. Standardized reporting systems for brain tumors from in the dark: cons of the BT-RADS. European Radiology. 2024. 34(10):6779-6781. doi: 10.1007/s00330-024-10715-6. · 2024
  52. Martin-Noguerol T, Luna A, Santos E, Ramos A. An update on susceptibility-weighted imaging in brain gliomas. European Radiology. 2024. 34(10):6763-6775. doi: 10.1007/s00330-024-10703-w. · 2024
  53. Martin-Noguerol T, Santos E, Fernandez-Palomino J, […] Luna A. Role of advanced MRI sequences for thyroid lesions assessment: a narrative review. European Journal of Radiology. 2024. 176:111499. doi: 10.1016/j.ejrad.2024.111499. · 2024
  54. Aluja-Jaramillo F, Gutierrez FR, Previgliano C, […] Bhalla S. International cooperation in radiology training: a multipronged approach. Current Problems in Diagnostic Radiology. 2024. 53(5):546-551. doi: 10.1067/j.cpradiol.2024.05.017. · 2024
  55. Collado-Montanez J, Lopez-Ubeda P, Chizhikova M, Diaz-Galiano MC, Urena-Lopez LA, Martin-Noguerol T, Luna A., Martin-Valdivia MT. Automatic text classification of prostate cancer malignancy scores in radiology reports using NLP models. Medical & Biological Engineering & Computing. 2024. 62(11):3373-3383. doi: 10.1007/s11517-024-03131-x. · 2024
  56. Barrio Alonso AI, Broncano Cabrero J, Villan Gonzalez AM, […] Luna A. Chest pain: from guidelines to clinical practice. Radiología. 2024. 67(3):399-412. doi: 10.1016/j.rxeng.2024.05.007. · 2024
  57. Martin-Noguerol T, Lopez-Ubeda P, Luna A. AI in radiology: legal responsibilities and the car paradox. European Journal of Radiology. 2024. 175:111462. doi: 10.1016/j.ejrad.2024.111462. · 2024
  58. Lopez-Ubeda P, Martin-Noguerol T, Paulano-Godino F, Luna A. Comparative evaluation of image-based vs text-based vs multimodal AI approaches for automatic breast density assessment in mammograms. Computer Methods and Programs in Biomedicine. 2024. 255:108334. doi: 10.1016/j.cmpb.2024.108334. · 2024
  59. Martin-Noguerol T, Lopez-Ubeda P, Luna A. Large language models in radiology: the importance of fine-tuning and the fable of the luthier. European Journal of Radiology. 2024. 178:111627. doi: 10.1016/j.ejrad.2024.111627. · 2024
  60. Martin-Noguerol T, Casado-Verdugo OL, Vilanova JC, Luna A. When advanced MRI is not about naming musculoskeletal lesions. British Journal of Radiology. 2024. 97(1162):1619-1621. doi: 10.1093/bjr/tqae139. · 2024
  61. Muller Bravo G, Broncano Cabrero J, Cobo Gomez N, Luna A. Clinical applications of 4D flow MRI. Radiología. 2024. 67(3):413-429. doi: 10.1016/j.rxeng.2024.05.008. · 2024
  62. Lopez-Ubeda P, Martin-Noguerol T, Escartin J, Luna A. Role of natural language processing in automatic detection of unexpected findings in radiology reports: a comparative study of RoBERTa, CNN, and ChatGPT. Academic Radiology. 2024. 31(12):4833-4842. doi: 10.1016/j.acra.2024.07.057. · 2024
  63. Luna A. Editorial comment: radiologists must recognize the limitations of current interpretative artificial intelligence applications. American Journal of Roentgenology. 2024. 223(4):e2431842. doi: 10.2214/AJR.24.31842. · 2024
  64. Martin-Noguerol T, Lopez-Ubeda P, Luna A. BERTs, bias, and Babel’s tower in radiology. Journal of the American College of Radiology. 2024. 22(5):519. doi: 10.1016/j.jacr.2024.12.012. · 2024
  65. Martin-Noguerol T, Rossi I, Tol JL, […] Luna A. Past, present, and future in sports imaging: how to drive in a three-lane freeway. European Radiology. 2023. 33(3):1589-1592. doi: 10.1007/s00330-022-09193-5. · 2023
  66. Agarwal D, Alvaro Berbis M, Luna A, […] de la Torre Diez I. Automated medical diagnosis of Alzheimer’s disease using an EfficientNet convolutional neural network. Journal of Medical Systems. 2023. 47(1):57. doi: 10.1007/s10916-023-01941-4. · 2023
  67. Martin-Noguerol T, Luna A. Beyond the AJR: artificial intelligence helps radiologists to improve their performance in differentiating colon carcinoma from acute diverticulitis on CT. American Journal of Roentgenology. 2023. 221(6):849. doi: 10.2214/AJR.23.29466. · 2023
  68. Martin-Noguerol T, Mohan S, Luna A. Concepts for exploring research avenues in radiology: opportunities and inspiration. European Radiology. 2023. 33(9):6545-6547. doi: 10.1007/s00330-023-09639-4. · 2023
  69. Baleato-Gonzalez S, Vilanova JC, Luna A, […] Garcia R. Current and advanced applications of gadoxetic acid-enhanced MRI in hepatobiliary disorders. Radiographics. 2023. 43(4):e220087. doi: 10.1148/rg.220087. · 2023
  70. Martin-Noguerol T, Luna A. Diffusion tensor imaging of ulnar neuropathy caused by an accessory anconeus muscle. Radiology. 2023. 307(3):e221854. doi: 10.1148/radiol.221854. · 2023
  71. Martin-Noguerol T, Casado-Verdugo OL, Beltran LS, […] Luna A. Role of advanced MRI techniques for sacroiliitis assessment and quantification. European Journal of Radiology. 2023. 163:110793. doi: 10.1016/j.ejrad.2023.110793. · 2023
  72. Chizhikova M, Lopez-Ubeda P, Collado-Montanez J, […] Martin-Valdivia MT. CARES: a corpus for classification of Spanish radiological reports. Computers in Biology and Medicine. 2023. 154:106581. doi: 10.1016/j.compbiomed.2023.106581. · 2023
  73. Martin-Noguerol T, Onate M, Amrhein TJ, […] Luna A. The role of artificial intelligence in the assessment of the spine and spinal cord. European Journal of Radiology. 2023. 161:110726. doi: 10.1016/j.ejrad.2023.110726 · 2023
  74. Lopez-Ubeda P, Martin-Noguerol T, Luna A. Reply to the Letter to the Editor: “Radiology in the era of large language models: additional facts to consider in the near and the dark side of the moon.” European Radiology. 2023. 33(12):9460-9461. doi: 10.1007/s00330-023-10331-w. · 2023
  75. Alvaro Berbis M, Paulano F, Rodriguez-Comas J, […] Luna A. Radiomics in CT and MR imaging of the liver and pancreas: tools with potential for clinical application. Abdominal Radiology. 2023. 49(1):322-340. doi: 10.1007/s00261-023-04071-0. · 2023
  76. Lopez-Ubeda P, Martin-Noguerol T, Luna A. Reply to the Letter to the Editor: “A critical evaluation on the use of large language model for radiology research.” European Radiology. 2023. 33(12):9464-9465. doi: 10.1007/s00330-023-10333-8. · 2023
  77. Hayashi D, Roemer FW, Tol JL, […] Guermazi A. Emerging quantitative imaging techniques in sports medicine. Radiology. 2023. 308(2):e221531. doi: 10.1148/radiol.221531. · 2023
  78. Lopez-Ubeda P, Martin-Noguerol T, Luna A. Radiology, explainability, and AI: closing the gap. European Radiology. 2023. 33(12):9466-9468. doi: 10.1007/s00330-023-09902-8. · 2023
  79. Lopez-Ubeda P, Martin-Noguerol T, Luna A. Radiology in the era of large language models: the near and the dark side of the moon. European Radiology. 2023. 33(12):9455-9457. doi: 10.1007/s00330-023-09901-9. · 2023
  80. Martin Noguerol T, Paulano R, Riascos RF, Luna A. Why 3D printing units should be centralized into radiology departments? European Journal of Radiology. 2022. 148:110161. doi:10.1016/j.ejrad.2022.110161. · 2022
  81. Martin-Noguerol T, Barousse R, Luna A, […] Gomez-Rio M. New insights into the evaluation of peripheral nerves lesions: a survival guide for beginners. Neuroradiology. 2022. 64(5):875-886. doi: 10.1007/s00234-022-02916-x. · 2022
  82. Martin-Noguerol T, Montesinos P, Hassankhani A, […] Luna A. Technical update on MR neurography. Seminars in Musculoskeletal Radiology. 2022. 26(2):93-104. doi: 10.1055/s-0042-1742753. · 2022
  83. Luna A. Editorial comment: integrated diagnosis of hepatocellular carcinoma—an opportunity for abdominal radiologists. American Journal of Roentgenology. 2022. 219(2):223. doi: 10.2214/AJR.22.27611. · 2022
  84. Orcajo-Rincon J, Munoz-Langa J, Sepulveda JM, […] Luna A. Review of imaging techniques for evaluating morphological and functional responses to the treatment of bone metastases in prostate and breast cancer. Clinical and Translational Oncology. 2022. 24(7):1290-1310. doi: 10.1007/s12094-022-02784-0. · 2022
  85. Luna A, Silva CF, Rossi SE, Hygino da Cruz LC. RadioGraphics international team initiatives. Radiographics. 2022. 42(5):E142-E144. doi: 10.1148/rg.220053. · 2022
  86. Lopez-Ubeda P, Martin-Noguerol T, Juluru K, Luna A. Natural language processing in radiology: update on clinical applications. Journal of the American College of Radiology. 2022. 19(11):1271-1285. doi: 10.1016/j.jacr.2022.06.016. · 2022
  87. Lopez-Ubeda P, Martin-Noguerol T, Aneiros-Fernandez J, Luna A. Natural language processing in pathology: current trends and future insights. American Journal of Pathology. 2022. 10.1016/j.ajpath.2022.07.012. · 2022
  88. Liu X, Elbanan M, Luna A, […] Elsayes K. Radiomics in abdominopelvic solid-organ oncologic imaging: current status. American Journal of Roentgenology. 2022. 219(6):985-995. doi: 10.2214/AJR.22.27695. · 2022
  89. Martin-Noguerol T, Barousse R, Wessell DE, […] Luna A. A handbook for beginners in skeletal muscle diffusion tensor imaging: physical basis and technical adjustments. European Radiology. 2022. 32(11):7623-7631. doi: 10.1007/s00330-022-08837-w. · 2022
  90. Martin-Noguerol T, Lopez-Ortega R, Ros PR, Luna A. Teleworking beyond teleradiology: managing radiology departments during the COVID-19 outbreak. European Radiology. 2021. 31(2):601-604. doi: 10.1007/s00330-020-07205-w. · 2021
  91. Martin-Noguerol T, Luna A. External validation of AI algorithms in breast radiology: the last healthcare security checkpoint? Quantitative Imaging in Medicine and Surgery. 2021. 11(6):2888-2892. doi: 10.21037/qims-20-1409. · 2021
  92. Martin-Noguerol T, Concepcion Tchoyoson LC, Lim CC, […] Luna A. Conventional and advanced MRI evaluation of brain vascular malformations. Journal of Neuroimaging. 2021. 31(3):428-445. doi: 10.1111/jon.12853. · 2021
  93. Garcia R, Aneiros-Fernandez J, Mendoza Olivares FJ, […] Luna A. Role of artificial intelligence in multidisciplinary imaging diagnosis of gastrointestinal diseases. World Journal of Gastroenterology. 2021. 27(27):4395-4412. doi: 10.3748/wjg.v27.i27.4395. · 2021
  94. Sarmadi H, Munoz-Salinas R, Berbis MA, […] Medina-Carnicer R. Joint scene and object tracking for cost-effective augmented reality-guided patient positioning in radiation therapy. Computer Methods and Programs in Biomedicine. 2021. 209:106296. doi: 10.1016/j.cmpb.2021.106296. · 2021
  95. Martin-Noguerol T, Montesinos P, Barousse R, Luna A. RadioGraphics update: functional MR neurography in evaluation of peripheral nerve trauma and postsurgical assessment. Radiographics. 2021. 41(2):E40-E44. doi: 10.1148/rg.2021200190. · 2021
  96. Martin-Noguerol T, Montesinos P, Casado-Verdugo OL, […] Luna A. Susceptibility-weighted imaging for evaluation of musculoskeletal lesions. European Journal of Radiology. 2021. 138:109611. doi: 10.1016/j.ejrad.2021.109611. · 2021
  97. Lopez-Ubeda P, Diaz-Galiano MC, Martin-Noguerol T, […] Martin-Valdivia MT. Automatic medical protocol classification using machine learning approaches. Computer Methods and Programs in Biomedicine. 200:105939. doi: 10.1016/j.cmpb.2021.105939. 2021. · 2021
  98. Martin-Noguerol T, Francoise-Eve Kirsch C, Montesinos P, Luna A. Arterial spin labeling for head and neck lesion assessment: technical adjustments and clinical applications. Neuroradiology. 2021. 63(12):1969-1983. doi: 10.1007/s00234-021-02772-1. · 2021
  99. Alcala L, Retamero JA, Gupta RT, […] Luna A. Artificial intelligence-assisted prostate cancer diagnosis: radiologic-pathologic correlation. Radiographics. 2021. 41(6):1676-1697. doi: 10.1148/rg.2021210020. · 2021
  100. Elsayes K, Katabathina VS, Luna A, Menias CO. Body imaging: past, present, future. The 2021 RadioGraphics monograph issue. Radiographics. 2021. 41(6):1569. doi: 10.1148/rg.2021210195. · 2021
  101. Martin-Noguerol T, Mohan S, Santos E, […] Luna A. Advanced MRI assessment of non-enhancing peritumoral signal abnormality in brain lesions. European Journal of Radiology. 2021. 143:109900. doi: 10.1016/j.ejrad.2021.109900. · 2021
2016–202030 artículos
  1. Martin Noguerol T, Barousse R, Amrhein TJ, […] Luna A. Optimizing diffusion-tensor imaging acquisition for spinal cord assessment: physical basis and technical adjustments. Radiographics. 2020. 40(2):403-427. doi: 10.1148/rg.2020190058. · 2020
  2. Lopez-Ubeda P, Diaz-Galiano MC, Martin-Noguerol T, […] Martin-Valdivia MT. COVID-19 detection in radiological text reports integrating entity recognition. Computers in Biology and Medicine. 2020. 127:104066. doi: 10.1016/j.compbiomed.2020.104066. · 2020
  3. Garcia R, Baleato-Gonzalez S, Luna A, […] Vilanova JC. Assessing immunotherapy with functional and molecular imaging and radiomics. Radiographics. 2020. 40(7):1987-2010. doi: 10.1148/rg.2020200070. · 2020
  4. Luna A. Invited commentary: radiogenomics applied to select abdominal tumors. Radiographics. 2020. Oct;40(6):1627-1630. doi:10.1148/rg.2020200194. · 2020
  5. Martin Noguerol T, Paulano F, Menias CO, Luna A. Lessons learned from COVID-19 and 3D printing. American Journal of Emergency Medicine. 2020. 46:659-660. doi: 10.1016/j.ajem.2020.08.010. · 2020
  6. Broncano J, Bhalla S, Gutierrez FR, […] Luna A. Cardiac MRI in pulmonary hypertension: from magnet to bedside. Radiographics. 2020. 40(4):982-1002. doi: 10.1148/rg.2020190179. · 2020
  7. Broncano J, Bhalla S, Caro P, […] Luna A. Cardiac MRI in patients with acute chest pain. Radiographics. 2020. 41(1):8-31. doi: 10.1148/rg.2021200084. · 2020
  8. Martin-Noguerol T, Paulano-Godino F, Lopez-Ortega R, […] Luna A. Artificial intelligence in radiology: relevance of collaborative work between radiologists and engineers for building a multidisciplinary team. Clinical Radiology. 2020. 76(5):317-324. doi: 10.1016/j.crad.2020.11.113. · 2020
  9. Ludwig DR, Raptis CA, Broncano J, […] Luna A. Role of MRI in the evaluation of thoracoabdominal emergencies. Clinical Radiology. 2020. 29(6):355-370. · 2020
  10. Broncano J, Alvarado-Benavides AM, Bhalla S, […] Luna A. Role of advanced MRI in the assessment of malignancies of the mediastinum. World Journal of Radiology. 2019. 11(3):27-45. doi: 10.4329/wjr.v11.i3.27. · 2019
  11. Martin Noguerol T, Barousse R, Gomez Cabrera M, […] Luna A. Functional MR neurography in evaluation of peripheral nerve trauma and postsurgical assessment. Radiographics. 2019. 39(2):427-446. doi: 10.1148/rg.2019180112. · 2019
  12. Garcia R, Baleato-Gonzalez S, Padhani AR, Luna A. […] Vargas HA. How clinical imaging can assess cancer biology. Insights into Imaging. 2019. 10(1):28. doi: 10.1186/s13244-019-0703-0. · 2019
  13. Garcia Figueiras R, Vilanova JC, Baleato S, Luna A. Radiologic clues to cerebral venous thrombosis. Radiographics. 2019. doi:10.1259/bjr.20190443. · 2019
  14. Martin Noguerol T, Paulano-Godino F, Martin-Valdivia MT, […] Luna A. Strengths, weaknesses, opportunities, and threats analysis of artificial intelligence and machine learning applications in radiology. Journal of the American College of Radiology. 2019. 16(9 Pt B):1239-1247. doi: 10.1016/j.jacr.2019.05.047. · 2019
  15. Martin Noguerol T, Raya J, Wessell DE, […] Luna A. Functional MRI for evaluation of hyaline cartilage extracellular matrix, a pathophysiology-based approach. British Journal of Radiology. 2019. · 2019
  16. Canedo-Antelo M, Baleato-Gonzalez S, Mosqueira AJ, […] Garcia R. Radiologic clues to cerebral venous thrombosis. Neuroradiologie Scan. 2019. 39(6):1611-1628. doi: 10.1148/rg.2019190015. · 2019
  17. Fernandez-Perez G, Sanchez-Escribano R, Garcia-Vicente AM, Luna A […] Ales-Martinez JE. SEOM-SERAM-SEMNIM guidelines on the use of functional and molecular imaging techniques in advanced non-small-cell lung cancer. Clinical and Translational Oncology. 2018. 20(7):837-852. doi: 10.1007/s12094-017-1795-y. · 2018
  18. Garcia R, Baleato-Gonzalez S, Padhani AR, Luna A, […] Gomez Caamano A. Advanced imaging techniques in evaluation of colorectal cancer. Radiographics. 2018. 38(3):740-765. doi: 10.1148/rg.2018170044. · 2018
  19. Baleato-Gonzalez S, Garcia R, Luna A, […] Vilanova JC. Functional imaging in pancreatic disease. Radiología (English Edition). 2018. 60(6):451-464. doi: 10.1016/j.rx.2018.07.004. · 2018
  20. Broncano J, Vargas D, Bhalla S, […] Luna A. CT and MR imaging of cardiothoracic vasculitis. Radiographics. 2018. 38(4):997-1021. doi: 10.1148/rg.2018170136. · 2018
  21. Fernandez-Perez G, Sanchez-Escribano R, Garcia Vicente AM, Luna A. […] Ales Martinez JE. SEOM-SERAM-SEMNIM guideline on the use of functional and molecular imaging techniques in advanced non-small-cell lung cancer. Radiología. 2018. 60(4):332-346. doi: 10.1016/j.rx.2018.01.007. · 2018
  22. Martin Noguerol T, Luna A, Gomez Cabrera M, Riofrio AD. Clinical applications of advanced MRI techniques for arthritis evaluation. World Journal of Orthopedics. 2017. 8(9):660-673. doi: 10.5312/wjo.v8.i9.660. · 2017
  23. Martin Noguerol T, Barousse R, Socolovsky M, Luna A. Quantitative magnetic resonance neurography for evaluation of peripheral nerves and plexus injuries. Quantitative Imaging in Medicine and Surgery. 2017. 7(4):398-421. doi: 10.21037/qims.2017.08.01. · 2017
  24. Martin Noguerol T, Luna A, Beltran LS, […] Vilanova JC. Advanced MR imaging techniques for differentiation of neuropathic arthropathy and osteomyelitis in the diabetic foot. Radiographics. 2017. 37(4):1161-1180. doi: 10.1148/rg.2017160101. · 2017
  25. Luna A, Pahwa S, Bonini C, […] Gulani V. Multiparametric MR imaging in abdominal malignancies. Magnetic Resonance Imaging Clinics of North America. 2016. 24(1):157-186. doi: 10.1016/j.mric.2015.08.005. · 2016
  26. Garcia R, Baleato-Gonzalez S, Padhani AR, […] Alvarez-Castro A. Advanced imaging of colorectal cancer: from anatomy to molecular imaging. Insights into Imaging. 2016. 7(3):285-309. doi: 10.1007/s13244-016-0465-x. · 2016
  27. Broncano J, Luna A, Sanchez J, […] Bhalla S. Functional MR imaging in chest malignancies. Magnetic Resonance Imaging Clinics of North America. 2016. 24(1):135-155. doi: 10.1016/j.mric.2015.08.004. · 2016
  28. Luna A. MR imaging pushes radiologists to move forward in oncologic imaging. Magnetic Resonance Imaging Clinics of North America. 2016. 24(1):xvii-xviii. doi: 10.1016/j.mric.2015.10.001. · 2016
  29. Martin Noguerol T, Sanchez J, Martinez-Barbero JP, […] Luna A. Clinical imaging of tumor metabolism with 1H magnetic resonance spectroscopy. Magnetic Resonance Imaging Clinics of North America. 2016. 24(1):57-86. doi: 10.1016/j.mric.2015.09.002. · 2016
  30. Luna A. Functional and molecular imaging in oncology. Magnetic Resonance Imaging Clinics of North America. 2016. · 2016
2011–20156 artículos
  1. García-Figueiras R, Padhani AR, Beer AJ, Baleato-González S, Vilanova JC, Luna A, Oleaga L, Gómez-Caamaño A, Koh DM. Imaging of tumor angiogenesis for radiologists—part 1: biological and technical basis. Current Problems in Diagnostic Radiology. 2015. 44(5):407-24. doi: 10.1067/j.cpradiol.2015.02.010. · 2015
  2. García-Figueiras R, Padhani AR, Beer AJ, Baleato-González S, Vilanova JC, Luna A, Oleaga L, Gómez-Caamaño A, Koh DM. Tumor angiogenesis for radiologists—part 2: clinical utility. Current Problems in Diagnostic Radiology. 2015. 44(5):425-36. doi: 10.1067/j.cpradiol.2015.02.009. · 2015
  3. Vilanova JC, Luna A, Boada M, Barcelo J. Multiparametric MRI: the role of MRI techniques in the diagnosis, staging, and follow-up of prostate cancer. Archivos Españoles de Urología. 2015. 68(3):316-33. · 2015
  4. Martinez-Barbero JP, Rodriguez Jimenez I, Martin Noguerol T, Luna A. Utility of MRI diffusion techniques in the evaluation of tumors of the head and neck. Cancers. 2013. 5(3):875-89. doi: 10.3390/cancers5030875. · 2013
  5. LeBedis CA, Luna A, Soto JA. Use of MRI contrast agents in the liver and biliary tract. Magnetic Resonance Imaging Clinics of North America. 2012. 20(4):715-37. doi: 10.1016/j.mric.2012.07.006. · 2012
  6. Luna A, Sanchez J, Caro P. Diffusion-weighted imaging of the chest. Magnetic Resonance Imaging Clinics of North America. 2011. 19(1):69-94. doi: 10.1016/j.mric.2010.09.006. · 2011
2006–20103 artículos
  1. Luna A, Rodriguez Jimenez I, Ramon Botella E. Imaging techniques for the evaluation of systemic manifestations of vasculitis. Reumatología Clínica (English Edition). 2009. 5(4):178-82. doi: 10.1016/j.reuma.2008.01.001. · 2009
  2. Ramon Botella E, Hernandez Moreno L, Luna A. Imaging studies in cases with painful shoulder. Reumatología Clínica (English Edition). 2009. 5(3):133-9. doi: 10.1016/j.reuma.2008.02.002. · 2009
  3. Luna A, Ribes R, Caro P, Aumente E, Ros PR. MRI of focal splenic lesions without and with dynamic gadolinium enhancement. American Journal of Roentgenology. 2006. 186(6):1533-47. doi: 10.2214/AJR.04.1249. · 2006
1996–20056 artículos
  1. Luna A, Martinez S, Bossen E. Magnetic resonance imaging of intramuscular myxoma with histological comparison and a review of the literature. Skeletal Radiology. 2005. 34(1):19-28. doi: 10.1007/s00256-004-0848-9. · 2005
  2. Luna A, Ribes R, Caro P, Vida J, Erasmus JJ. Evaluation of cardiac tumors with MRI. European Radiology. 2005. 15(7):1446-55. doi: 10.1007/s00330-004-2603-y. · 2005
  3. Sanchez Alegre ML, Munoz Almazan L, Luna A, […] Duque Lopez G. Langerhans cell histiocytosis in the central nervous system: meningeal involvement. Revista Clínica Española. 1999. 199(8):520-2. · 1999
  4. Porta-Etessam J, Nunez-Lopez R, Balsalobre J, […] Luna A. Language and aphasias. Revista de Neurología. 1997. · 1997
  5. Porta-Etessam J, Balsalobre J, Gomez Pellico C, […]Luna A. Basalobre Aznar MD. Clinical manifestations associated with antiphospholipid antibodies. Anales de Medicina Interna. 1997. 4(12):636-46. · 1997
  6. Porta-Etessam J, Garcia-Ruiz F, Hernandez-Lain A, Luna A, Gomez de la Fuente E. Atypical internuclear ophthalmoplegia in a patient with subacute lymphocytic meningitis. Revista de Neurología. 1996. 24(131):838-40. · 1996
Libros especializados7 libros
  1. A. Luna, J.C. Vilanova, C. Da Cruz, S. Rossi. Functional Imaging in Oncology. Springer. Berlin, Germany. · 2013
  2. A. Luna, J.C. Vilanova, P.R. Ros. Learning Abdominal Imaging. Springer. Berlin, Germany. · 2012
  3. J.C. Vilanova, A. Luna, P.R. Ros. Learning Genitourinary and Pelvic Imaging. Springer. Berlin, Germany. · 2011
  4. A. Luna, R. Ribes, J. Soto. MRI Diffusion outside the Brain. Springer. Berlin, Germany. · 2011
  5. Ribes, P. Kuschnir, A. Luna, J.C. Vilanova, J.M. Jiménez. Learning Cardiac Imaging. Springer. Berlin, Germany. R. · 2009
  6. A. Luna, I. Rodriguez. Clinical applications of gadobenate dimeglumine. Think-in Pharma Services. · 2008
  7. R. Ribes, A. Luna, P.R. Ros. Learning Diagnostic Imaging. Springer. Berlin, Germany. · 2008