Peer-reviewed journal articles (85)
21.
Martens, C., Rovai, A., Bonatto, D., Metens, T., Debeir, O., Decaestecker, C., Goldman, S., & Van Simaeys, G. (2022). Deep Learning for Reaction-Diffusion Glioma Growth Modeling: Towards a Fully Personalized Model? Cancers (Basel), 14(10), 2530. doi:10.3390/cancers1410253023.
Martens, C., Lebrun, L., Decaestecker, C., Vandamme, T., Van Eycke, Y.-R., Rovai, A., Metens, T., Debeir, O., Goldman, S., Salmon, I., & Van Simaeys, G. (2021). Initial Condition Assessment for Reaction-Diffusion Glioma Growth Models: A Translational MRI-Histology (In)Validation Study. Tomography, 7(4), 650-674. doi:10.3390/tomography704005524.
Martens, C., Debeir, O., Decaestecker, C., Metens, T., Lebrun, L., Leurquin-Sterk, G., Trotta, N., Goldman, S., & Van Simaeys, G. (2021). Voxelwise principal component analysis of dynamic [s-methyl-11 c]methionine pet data in glioma patients. Cancers (Basel), 13(10), 2342. doi:10.3390/cancers1310234225.
Almasri, F., Vandendriessche, J., Segers, L., da Silva, B., Braeken, A., Steenhaut, K., Touhafi, A., & Debeir, O. (2021). XCycles Backprojection Acoustic Super-Resolution. Sensors, 21(10), 3453. doi:10.3390/s2110345327.
Michoux, N., Ceranka, J., Vandemeulebroucke, J., Peeters, F., Lu, P., Absil, J., Triqueneaux, P., Liu, Y., Collette, L., Willekens, I., Brussaard, C., Debeir, O., Hahn, S., Raeymaekers, H., de Mey, J., Metens, T., & Lecouvet, F. (2021). Repeatability and reproducibility of ADC measurements: a prospective multicenter whole-body-MRI study. European radiology. doi:10.1007/s00330-020-07522-028.
Wei, P., Lu, H., Timofte, R., Lin, L., Zuo, W., Pan, Z., Li, B., Xi, T., Fan, Y., Zhang, G., Liu, J., Han, J., Ding, E., Xie, T., Cao, L., Zou, Y., Shen, Y., Zhang, J., Jia, Y., Cheng, K., Wu, C., Lin, Y., Liu, C., Peng, Y., Zou, X., Luo, Z., Yao, Y., Xu, Z., Zamir, S. W., Arora, A., Khan, S., Hayat, M., Khan, F. S., Ahn, K.-H., Kim, J.-H., Choi, J.-H., Lee, J.-S., Zhao, T., Zhao, S., Han, Y., Kim, B.-H., Baek, J., Wu, H., Xu, D., Zhou, B., Guan, W., Li, X., Ye, C., Li, H., Zhong, H., Shi, Y., Yang, Z., Yang, X., Vandamme, T., Almasri, F., & Debeir, O. (2020). AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. arXiv.org.29.
Tarelkin, Y., Hufkens, K., Hahn, S., Van Den Bulcke, J., Bastin, J.-F., Ilondea, B. A., Debeir, O., Van Acker, J., Beeckman, H., & De Cannière, C. (2019). Wood anatomy variability under contrasted environmental conditions of common deciduous and evergreen species from central African forests. Trees, 33, 893-909. doi:10.1007/s00468-019-01826-531.
De Mil, T., Tarelkin, Y., Hahn, S., Hubau, W., Deklerck, V., Debeir, O., Van Acker, J., De Cannière, C., Beeckman, H., & Van Den Bulcke, J. (2018). Wood density profiles and their corresponding tissue fractions in tropical angiosperm trees. Forests, 9(12), 763. doi:10.3390/f912076333.
Van Eycke, Y.-R., Balsat, C., Verset, L., Debeir, O., Salmon, I., & Decaestecker, C. (2018). Segmentation of glandular epithelium in colorectal tumours to automatically compartmentalise IHC biomarker quantification: a deep learning approach. Medical image analysis, 49, 35-45. doi:10.1016/j.media.2018.07.00434.
Roumeguere, T., Legrand, F., El Rassy, E., Idrissi Kaitouni, M., Albisinni, S., Rousseau, A., Vanhaeverbeek, M., Rorive, S., Decaestecker, C., Debeir, O., Zouaoui Boudjeltia, K., & Aoun, F. (2018). A prospective clinical study of the implications of IL-8 in the diagnosis, aggressiveness and prognosis of prostate cancer. Future science OA, 4(2), FSO266. doi:10.4155/fsoa-2017-008438.
Van Eycke, Y.-R., Allard, J., Salmon, I., Debeir, O., & Decaestecker, C. (2017). Image processing in digital pathology: an opportunity to solve inter-batch variability of immunohistochemical staining. Scientific Reports, 7, 42964. doi:10.1038/srep42964