Article Versions Notes

Moummad I, Jaudet C, Lechervy A, Valable S, Raboutet C, Soilihi Z, Thariat J, Falzone N, Lacroix J, Batalla A, et al. The Impact of Resampling and Denoising Deep Learning Algorithms on Radiomics in Brain Metastases MRI. Cancers. 2022; 14(1):36. https://doi.org/10.3390/cancers14010036

Moummad, Ilyass, Cyril Jaudet, Alexis Lechervy, Samuel Valable, Charlotte Raboutet, Zamila Soilihi, Juliette Thariat, Nadia Falzone, Joëlle Lacroix, Alain Batalla, and et al. 2022. "The Impact of Resampling and Denoising Deep Learning Algorithms on Radiomics in Brain Metastases MRI" Cancers 14, no. 1: 36. https://doi.org/10.3390/cancers14010036

Moummad, I., Jaudet, C., Lechervy, A., Valable, S., Raboutet, C., Soilihi, Z., Thariat, J., Falzone, N., Lacroix, J., Batalla, A., & Corroyer-Dulmont, A. (2022). The Impact of Resampling and Denoising Deep Learning Algorithms on Radiomics in Brain Metastases MRI. Cancers, 14(1), 36. https://doi.org/10.3390/cancers14010036