Y.A. Widaatalla, MSc

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

Beuque, M. P. L., Lobbes, M. B. I., van Wijk, Y., Widaatalla, Y., Primakov, S., Majer, M., Balleyguier, C., Woodruff, H. C., & Lambin, P. (2023). Combining Deep Learning and Handcrafted Radiomics for Classification of Suspicious Lesions on Contrast-enhanced Mammograms. Radiology, 307(5), 221843. Article e221843. https://doi.org/10.1148/radiol.221843

Widaatalla, Y., Wolswijk, T., Adan, F., Hillen, L. M., Woodruff, H. C., Halilaj, I., Ibrahim, A., Lambin, P., & Mosterd, K. (2023). The application of artificial intelligence in the detection of basal cell carcinoma: A systematic review. Journal of the European Academy of Dermatology and Venereology, 37(6), 1160-1167. https://doi.org/10.1111/jdv.18963

Halilaj, I., Oberije, C., Chatterjee, A., van Wijk, Y., Rad, N. M., Galganebanduge, P., Lavrova, E., Primakov, S., Widaatalla, Y., Wind, A., & Lambin, P. (2022). Open Source Repository and Online Calculator of Prediction Models for Diagnosis and Prognosis in Oncology. Biomedicines, 10(11), Article 2679. https://doi.org/10.3390/biomedicines10112679

Refaee, T., Salahuddin, Z., Widaatalla, Y., Primakov, S., Woodruff, H. C., Hustinx, R., Mottaghy, F. M., Ibrahim, A., & Lambin, P. (2022). CT Reconstruction Kernels and the Effect of Pre- and Post-Processing on the Reproducibility of Handcrafted Radiomic Features. Journal of Personalized Medicine, 12(4), Article 553. https://doi.org/10.3390/jpm12040553

Ibrahim, A., Widaatalla, Y., Refaee, T., Primakov, S., Miclea, R. L., Ocal, O., Fabritius, M. P., Ingrisch, M., Ricke, J., Hustinx, R., Mottaghy, F. M., Woodruff, H. C., Seidensticker, M., & Lambin, P. (2021). Reproducibility of CT-Based Hepatocellular Carcinoma Radiomic Features across Different Contrast Imaging Phases: A Proof of Concept on SORAMIC Trial Data. Cancers, 13(18), Article 4638. https://doi.org/10.3390/cancers13184638

Ibrahim, A., Primakov, S., Beuque, M., Woodruff, H. C., Halilaj, I., Wu, G., Refaee, T., Granzier, R., Widaatalla, Y., Hustinx, R., Mottaghy, F. M., & Lambin, P. (2021). Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework. Methods, 188, 20-29. https://doi.org/10.1016/j.ymeth.2020.05.022