Prof Dr P. Lambin
Recent publications
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Kondylakis, H., Osuala, R., Puig-Bosch, X., Lazrak, N., Diaz, O., Kushibar, K., Chouvarda, I., Charalambous, S., Starmans, M. PA., Colantonio, S., Tachos, N., Joshi, S., Woodruff, H. C., Salahuddin, Z., Tsakou, G., Aussó, S., Alberich, L. C., Papanikolaou, N., Lambin, P., ... Lekadir, K. (2026). A review of methods for trustworthy AI in medical imaging: The FUTURE-AI Guidelines. IEEE Journal of Biomedical and Health Informatics, 30(3), 2299-2315. https://doi.org/10.1109/JBHI.2025.3614546More information about this publication
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Lambin, P., & Salahuddin, Z. (2026). Reply to 'Radiomics Quality Score 2.0: what changed from version 1.0 and why it matters'. Nature Reviews Clinical Oncology, 23(1), Article 86. https://doi.org/10.1038/s41571-025-01096-wMore information about this publication
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Laurent, P.-A., Andre, F., Bobard, A., Deandreis, D., Demaria, S., Depil, S., Eichmueller, S. B., Fernandez-Palomo, C., Foijer, F., Galluzzi, L., Galon, J., Guckenberger, M., Harrington, K. J., Herrera, F. G., Huber, P. E., Italiano, A., Karam, S. D., Kroemer, G., Lambin, P., ... Deutsch, E. (2025). Pushing the boundaries of radiotherapy-immunotherapy combinations: highlights from the 7th immunorad conference. OncoImmunology, 14(1), Article 2432726. https://doi.org/10.1080/2162402X.2024.2432726More information about this publication
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Maas, L., Contreras-Meca, C., Ghezzo, S., Belmans, F., Corsi, A., Cant, J., Vos, W., Bobowicz, M., Rygusik, M., Laski, D. K., Annemans, L., Hiligsmann, M., Lambin, P., & Woodruff, H. (2025). Cost-effectiveness analysis of artificial intelligence (AI) in earlier detection of liver lesions in cirrhotic patients at risk of hepatocellular carcinoma in Italy. Journal of Medical Economics, 28(1), 1023-1036. https://doi.org/10.1080/13696998.2025.2525006More information about this publication
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Martí-Bonmatí, L., Blanquer, I., Tsiknakis, M., Tsakou, G., Martinez, R., Capella-Gutierrez, S., Zullino, S., Meszaros, J., Bron, E. E., Gelpi, J. L., Riklund, K., Chaabane, L., Schlemmer, H. P., Aznar, M., Serrano Candelas, P., Gordebeke, P., Hierath, M., Scollen, S., Martin-Sanchez, F., ... EUCAIM Consortium (2025). Empowering cancer research in Europe: the EUCAIM cancer imaging infrastructure. Insights into Imaging, 16(1), Article 47. https://doi.org/10.1186/s13244-025-01913-xMore information about this publication
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Van Camp, A., Woodruff, H. C., Cockmartin, L., Lobbes, M., Majer, M., Balleyguier, C., Marshall, N. W., Bosmans, H., & Lambin, P. (2025). Impact of synthetic data on training a deep learning model for lesion detection and classification in contrast-enhanced mammography. Journal of medical imaging (Bellingham, Wash.), 12(Suppl 2), Article S22006. https://doi.org/10.1117/1.JMI.12.S2.S22006More information about this publication
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Lambin, P., Woodruff, H. C., Mali, S. A., Zhong, X., Kuang, S., Lavrova, E., Khan, H., Lekadir, K., Zwanenburg, A., Deasy, J., Bobowicz, M., Marti-Bonmati, L., Maidment, A., Dumontier, M., Kinahan, P. E., Nobel, J. M., Amirrajab, S., & Salahuddin, Z. (2025). Radiomics Quality Score 2.0: towards radiomics readiness levels and clinical translation for personalized medicine. Nature Reviews Clinical Oncology, 22(11), 831-846. https://doi.org/10.1038/s41571-025-01067-1More information about this publication
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Khan, H., Woodruff, H. C., Giraldo, D. L., Werthen-Brabants, L., Mali, S. A., Amirrajab, S., De Brouwer, E., Popescu, V., Van Wijmeersch, B., Gerlach, O., Sijbers, J., Peeters, L. M., & Lambin, P. (2025). Leveraging hand-crafted radiomics on multicenter FLAIR MRI for predicting disability worsening in people with multiple sclerosis. Frontiers in Neuroscience, 19, Article 1610401. https://doi.org/10.3389/fnins.2025.1610401More information about this publication
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Cong, Y., Biemans, R., Lieuwes, N. G., Suijlen, D., Lambin, P., Dijkgraaf, I., Bauwens, M., Yaromina, A., & Dubois, L. J. (2025). Development of a novel anti-CEACAM5 VHH for SPECT imaging and potential cancer therapy applications. European Journal of Nuclear Medicine and Molecular Imaging, 52(12), 4569-4581. https://doi.org/10.1007/s00259-025-07321-zMore information about this publication
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Khan, H., Aerts, S., Vermeulen, I., Woodruff, H. C., Lambin, P., & Peeters, L. M. (2025). Integrating big data and artificial intelligence to predict progression in multiple sclerosis: challenges and the path forward. Journal of NeuroEngineering and Rehabilitation, 22(1), Article 204. https://doi.org/10.1186/s12984-025-01748-zMore information about this publication