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Sarica, B., Şeker, D. Z., & BAYRAM, B., (2023). A dense residual U-net for multiple sclerosis lesions segmentation from multi-sequence 3D MR images. International Journal of Medical Informatics , vol.170.

Sarica, Beytullah, Dursun Zafer Şeker, And Bülent BAYRAM. "A dense residual U-net for multiple sclerosis lesions segmentation from multi-sequence 3D MR images," International Journal of Medical Informatics , vol.170, 2023

Sarica, Beytullah Et Al. "A dense residual U-net for multiple sclerosis lesions segmentation from multi-sequence 3D MR images." International Journal of Medical Informatics , vol.170, 2023

Sarica, B. Şeker, D. Z. And BAYRAM, B. (2023) . "A dense residual U-net for multiple sclerosis lesions segmentation from multi-sequence 3D MR images." International Journal of Medical Informatics , vol.170.

@article{article, author={Beytullah Sarica Et Al. }, title={A dense residual U-net for multiple sclerosis lesions segmentation from multi-sequence 3D MR images}, journal={International Journal of Medical Informatics}, year=2023}