E. Lavrova

Rogers, W., Keek, S. A., Beuque, M., Lavrova, E., Primakov, S., Wu, G., Yan, C., Sanduleanu, S., Gietema, H. A., Casale, R., Occhipinti, M., Woodruff, H. C., Jochems, A., & Lambin, P. (2023). Towards texture accurate slice interpolation of medical images using PixelMiner. Computers in Biology and Medicine, 161(1), Article 106701. https://doi.org/10.1016/j.compbiomed.2023.106701

Lavrova, E., Primakov, S., Salahuddin, Z., Beuque, M., Verstappen, D., Woodruff, H. C., & Lambin, P. (2023). Precision-medicine-toolbox: An open-source python package for the quantitative medical image analysis. Software Impacts, 16(1), Article 100508. https://doi.org/10.1016/j.simpa.2023.100508

Lavrova, E., Salahuddin, Z., Woodruff, H. C., Kassem, M., Camarasa, R., Van Kolk, A. G. D., Nederkoorn, P. J., Bos, D., Hendrikse, J., Kooi, M. E., & Lambin, P. (2023). UR-CarA-Net: A Cascaded Framework With Uncertainty Regularization for Automated Segmentation of Carotid Arteries on Black Blood MR Images. IEEE Access, 11(1), 26637-26651. https://doi.org/10.1109/ACCESS.2023.3258408

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

Primakov, S. P., Ibrahim, A., van Timmeren, J. E., Wu, G. Y., Keek, S. A., Beuque, M., Granzier, R. W. Y., Lavrova, E., Scrivener, M., Sanduleanu, S., Kayan, E., Halilaj, I., Lenaers, A., Wu, J. L., Monshouwer, R., Geets, X., Gietema, H. A., Hendriks, L. E. L., Morin, O., ... Lambin, P. (2022). Automated detection and segmentation of non-small cell lung cancer computed tomography images. Nature Communications, 13(1), Article 3423. https://doi.org/10.1038/s41467-022-30841-3

Lavrova, E., Lommers, E., Woodruff, H. C., Chatterjee, A., Maquet, P., Salmon, E., Lambin, P., & Phillips, C. (2021). Exploratory Radiomic Analysis of Conventional vs. Quantitative Brain MRI: Toward Automatic Diagnosis of Early Multiple Sclerosis. Frontiers in Neuroscience, 15, Article 679941. https://doi.org/10.3389/fnins.2021.679941

Casale, R., Lavrova, E., Sanduleanu, S., Woodruff, H. C., & Lambin, P. (2021). Development and external validation of a non-invasive molecular status predictor of chromosome 1p/19q co-deletion based on MRI radiomics analysis of Low Grade Glioma patients. European Journal of Radiology, 139, Article 109678. https://doi.org/10.1016/j.ejrad.2021.109678