N.G. Lieuwes

Claes, B. S. R., Biemans, R., Lieuwes, N., Theunissen, L., Glunde, K., Dubois, L., Heeren, R. M. A., & Cuypers, E. (2025). Classifying Hypoxia in Breast Cancer Xenografts Using a Single-Cell Mass Spectrometry Imaging Model. Analysis & Sensing. Advance online publication. https://doi.org/10.1002/anse.202400085

Sánchez-Castillo, A., Heylen, E., Hounjet, J., Savelkouls, K. G., Lieuwes, N. G., Biemans, R., Dubois, L. J., Reynders, K., Rouschop, K. M., Vaes, R. D. W., De Keersmaecker, K., Lambrecht, M., Hendriks, L. E. L., De Ruysscher, D. K. M., Vooijs, M., & Kampen, K. R. (2024). Correction: Targeting serine/glycine metabolism improves radiotherapy response in non-small cell lung cancer. British Journal of Cancer, 130(4), Article 701. https://doi.org/10.1038/s41416-024-02603-z

Sanchez-Castillo, A., Heylen, E., Hounjet, J., Savelkouls, K. G., Lieuwes, N. G., Biemans, R., Dubois, L. J., Reynders, K., Rouschop, K. M., Vaes, R. D. W., De Keersmaecker, K., Lambrecht, M., Hendriks, L. E. L., De Ruysscher, D. K. M., Vooijs, M., & Kampen, K. R. (2024). Targeting serine/glycine metabolism improves radiotherapy response in non-small cell lung cancer. British Journal of Cancer, 130(4), 568-584. https://doi.org/10.1038/s41416-023-02553-y

Prades-Sagarra, E., Laarakker, F., Dissy, J., Lieuwes, N. G., Biemans, R., Dubail, M., Fouillade, C., Yaromina, A., & Dubois, L. J. (2024). Caffeic Acid Phenethyl Ester (CAPE), a natural polyphenol to increase the therapeutic window for lung adenocarcinomas. Radiotherapy and Oncology, 190, Article 110021. https://doi.org/10.1016/j.radonc.2023.110021

Rezaeifar, B., Wolfs, C. J. A., Lieuwes, N. G., Biemans, R., Reniers, B., Dubois, L. J., & Verhaegen, F. (2023). A deep-learning assisted bioluminescence tomography method to enable radiation targeting in rat glioblastoma. Physics in Medicine and Biology, 68(15), Article 155013. https://doi.org/10.1088/1361-6560/ace308

Wintjens, A. G. W. E., Liu, H., Fransen, P.-P. K. H., Lenaerts, K., van Almen, G. C., Gijbels, M. J., Hadfoune, M., Boonen, B. T. C., Lieuwes, N. G., Biemans, R., Dubois, L. J., Dankers, P. Y. W., de Hingh, I. H. J. T., & Bouvy, N. D. (2023). Treating colorectal peritoneal metastases with an injectable cytostatic loaded supramolecular hydrogel in a rodent animal model. Clinical & Experimental Metastasis, 40(3), 243-253. https://doi.org/10.1007/s10585-023-10210-0

Rezaeifar, B., Wolfs, C. J. A., Lieuwes, N. G., Biemans, R., Reniers, B., Dubois, L. J., & Verhaegen, F. (2022). A deep learning and Monte Carlo based framework for bioluminescence imaging center of mass-guided glioblastoma targeting. Physics in Medicine and Biology, 67(14), Article 144003. https://doi.org/10.1088/1361-6560/ac79f8

Cuypers, E., Claes, B. S. R., Biemans, R., Lieuwes, N. G., Glunde, K., Dubois, L., & Heeren, R. M. A. (2022). 'On the Spot' Digital Pathology of Breast Cancer Based on Single-Cell Mass Spectrometry Imaging. Analytical Chemistry, 94(16), 6180-6190. https://doi.org/10.1021/acs.analchem.1c05238

Lappas, G., Wolfs, C. J. A., Staut, N., Lieuwes, N. G., Biemans, R., van Hoof, S. J., Dubois, L. J., & Verhaegen, F. (2022). Automatic contouring of normal tissues with deep learning for preclinical radiation studies. Physics in Medicine and Biology, 67(4), Article 044001. https://doi.org/10.1088/1361-6560/ac4da3

Lappas, G., Staut, N., Lieuwes, N. G., Biemans, R., Wolfs, C. J. A., van Hoof, S. J., Dubois, L. J., & Verhaegen, F. (2022). Inter-observer variability of organ contouring for preclinical studies with cone beam Computed Tomography imaging. Physics & Imaging in Radiation Oncology, 21, 11-17. https://doi.org/10.1016/j.phro.2022.01.002