Prof Dr P. Lambin

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.2024.2432726

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-x

Mali, S. A., Rad, N. M., Woodruff, H. C., Depeursinge, A., Andrearczyk, V., & Lambin, P. (2025). Harmonizing CT scanner acquisition variability in an anthropomorphic phantom: A comparative study of image-level and feature-level harmonization using GAN, ComBat, and their combination. PLOS ONE, 20(5), Article e0322365. https://doi.org/10.1371/journal.pone.0322365

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. Advance online publication. https://doi.org/10.1007/s00259-025-07321-z

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 22006. https://doi.org/10.1117/1.JMI.12.S2.S22006

van den Ende, T., Kuijper, S. C., Widaatalla, Y., Noortman, W. A., van Velden, F. H. P., Woodruff, H. C., van der Pol, Y., Moldovan, N., Pegtel, D. M., Derks, S., Bijlsma, M. F., Mouliere, F., de Geus-Oei, P. L.-F., Lambin, P. P., & van Laarhoven, P. H. W. M. (2025). Integrating Clinical Variables, Radiomics, and Tumor-derived Cell-free DNA for Enhanced Prediction of Resectable Esophageal Adenocarcinoma Outcomes. International Journal of Radiation Oncology Biology Physics, 121(4), 963-974. https://doi.org/10.1016/j.ijrobp.2024.10.010

Widaatalla, Y., Wolswijk, T., Khan, M. D., Halilaj, I., Mosterd, K., Woodruff, H. C., & Lambin, P. (2025). Radiomics in Dermatological Optical Coherence Tomography (OCT): Feature Repeatability, Reproducibility, and Integration into Diagnostic Models in a Prospective Study. Cancers, 17(5), Article 768. https://doi.org/10.3390/cancers17050768

Chen, Y., Pasquier, D., Verstappen, D., Woodruff, H. C., & Lambin, P. (2025). An interpretable ensemble model combining handcrafted radiomics and deep learning for predicting the overall survival of hepatocellular carcinoma patients after stereotactic body radiation therapy. Journal of Cancer Research and Clinical Oncology, 151(2), Article 84. https://doi.org/10.1007/s00432-025-06119-8

Van Camp, A., Punter, E., Houbrechts, K., Cockmartin, L., Prevos, R., Marshall, N. W., Woodruff, H. C., Lambin, P., & Bosmans, H. (2025). An automated toolbox for microcalcification cluster modeling for mammographic imaging. Medical Physics, 52(2), 1335-1349. https://doi.org/10.1002/mp.17521