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Prof Dr P. Lambin

Recente publicaties
  • Barclay, N. L., Burn, E., Delmestri, A., Duarte-Salles, T., Golozar, A., Man, W. Y., Tan, E. H., Tietzova, I., Prieto-Alhambra, D., Newby, D., N’Dow, J., Witjes, W., Smith, E. J., Bezuidenhout, C., Collen, S., Plass, K., Blum, T. G., Borkowetz, A., Willemse, P. P., ... Ankolekar, A. (2024). Trends in incidence, prevalence, and survival of breast cancer in the United Kingdom from 2000 to 2021. Scientific Reports, 14(1), Article 19069. https://doi.org/10.1038/s41598-024-69006-1
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  • Ankolekar, A., Eppings, L., Bottari, F., Pinho, I. F., Howard, K., Baker, R., Nan, Y., Xing, X., Walsh, S. LF., Vos, W., Yang, G., & Lambin, P. (2024). Using artificial intelligence and predictive modelling to enable learning healthcare systems (LHS) for pandemic preparedness. Computational and Structural Biotechnology Journal, 24, 412-419. https://doi.org/10.1016/j.csbj.2024.05.014
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  • Zhang, Y., Cong, Y., Bailey, T. S., Dubois, L. J., Theys, J., & Lambin, P. (2024). Harnessing native-cryptic plasmids for stable overexpression of heterologous genes in Clostridium butyricum DSM 10702 for industrial and medical applications. Microbiological Research, 288, Article 127889. https://doi.org/10.1016/j.micres.2024.127889
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  • Verstappen, D., Pasquier, D., Chen, Y., Lambin, P., & Woodruff, H. C. (2024). Radiomic feature robustness in CT scans affected by fiducial marker induced streak artifacts for patients with hepatocellular carcinoma. Medical Physics, 51(11), 8362-8370. https://doi.org/10.1002/mp.17329
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  • Giraldo, D. L., Khan, H., Pineda, G., Liang, Z., Lozano-Castillo, A., Van Wijmeersch, B., Woodruff, H. C., Lambin, P., Romero, E., Peeters, L. M., & Sijbers, J. (2024). Perceptual super-resolution in multiple sclerosis MRI. Frontiers in Neuroscience, 18, Article 1473132. https://doi.org/10.3389/fnins.2024.1473132
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  • 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. (2024). 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. Advance online publication. https://doi.org/10.1016/j.ijrobp.2024.10.010
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  • Peeken, J. C., Etzel, L., Tomov, T., Münch, S., Schüttrumpf, L., Shaktour, J. H., Kiechle, J., Knebel, C., Schaub, S. K., Mayr, N. A., Woodruff, H. C., Lambin, P., Gersing, A. S., Bernhardt, D., Nyflot, M. J., Menze, B., Combs, S. E., & Navarro, F. (2024). Development and benchmarking of a Deep Learning-based MRI-guided gross tumor segmentation algorithm for Radiomics analyses in extremity soft tissue sarcomas. Radiotherapy and Oncology, 197, Article 110338. https://doi.org/10.1016/j.radonc.2024.110338
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  • Gu, J., Lambin, P., & Jiang, T. (2024). Automated deep learning framework: providing decision-making information for breast cancer management. EClinicalMedicine, 73, Article 102674. https://doi.org/10.1016/j.eclinm.2024.102674
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  • Rad, N. M., Sosef, O., Seegers, J., Koolen, L. J. E. R., Hoofwijk, J. J. W. A., Woodruff, H. C., Hoofwijk, T. A. G. M., Sosef, M., & Lambin, P. (2024). Prognostic models for colorectal cancer recurrence using carcinoembryonic antigen measurements. Frontiers in Oncology, 14, Article 1368120. https://doi.org/10.3389/fonc.2024.1368120
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  • Van Camp, A., Woodruff, H. C., Cockmartin, L., Marshall, N. W., Bosmans, H., & Lambin, P. (2024). Simulated image-specific microcalcification clusters and associated mass enhancement to enhance training of a deep learning model for cancer detection in contrast-enhanced mammography. In M. L. Giger, H. M. Whitney, K. Drukker, & H. Li (Eds.), 17th International Workshop on Breast Imaging, IWBI 2024 (Vol. 13174). Article 1317404 SPIE. https://doi.org/10.1117/12.3026879
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