Search Results for author: Nika Khosravi

Found 2 papers, 1 papers with code

SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities

1 code implementation • 6 Apr 2022 • Reza Azad, Nika Khosravi, Dorit Merhof

Gliomas are one of the most prevalent types of primary brain tumours, accounting for more than 30\% of all cases and they develop from the glial stem or progenitor cells.

Brain Tumor Segmentation Tumor Segmentation

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Medical Image Segmentation on MRI Images with Missing Modalities: A Review

no code implementations • 11 Mar 2022 • Reza Azad, Nika Khosravi, Mohammad Dehghanmanshadi, Julien Cohen-Adad, Dorit Merhof

Dealing with missing modalities in Magnetic Resonance Imaging (MRI) and overcoming their negative repercussions is considered a hurdle in biomedical imaging.

Image Generation Image Segmentation +3

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