Alis, D. C. Et Al. 2020. The diagnostic value of quantitative texture analysis of conventional MRI sequences using artificial neural networks in grading gliomas. CLINICAL RADIOLOGY , vol.75, no.5 , 351-357.

Alis, D. C., Bagcilar, O., Senli, Y. D., İŞLER, C., Yergin, M., Kocer, N., ... Islak, C.(2020). The diagnostic value of quantitative texture analysis of conventional MRI sequences using artificial neural networks in grading gliomas. CLINICAL RADIOLOGY , vol.75, no.5, 351-357.

Alis, DENİZ Et Al. "The diagnostic value of quantitative texture analysis of conventional MRI sequences using artificial neural networks in grading gliomas," CLINICAL RADIOLOGY , vol.75, no.5, 351-357, 2020

Alis, DENİZ C. Et Al. "The diagnostic value of quantitative texture analysis of conventional MRI sequences using artificial neural networks in grading gliomas." CLINICAL RADIOLOGY , vol.75, no.5, pp.351-357, 2020

Alis, D. C. Et Al. (2020) . "The diagnostic value of quantitative texture analysis of conventional MRI sequences using artificial neural networks in grading gliomas." CLINICAL RADIOLOGY , vol.75, no.5, pp.351-357.

@article{article, author={DENİZ CAN ALİS Et Al. }, title={The diagnostic value of quantitative texture analysis of conventional MRI sequences using artificial neural networks in grading gliomas}, journal={CLINICAL RADIOLOGY}, year=2020, pages={351-357} }