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Ramtin Mojtahedi (Computing) – Deep learning approaches for liver cancer segmentation, tumour-type classification, and survival prediction from contrast-enhanced CT imaging episode artwork

EPISODE · Dec 10, 2025 · 39 MIN

Ramtin Mojtahedi (Computing) – Deep learning approaches for liver cancer segmentation, tumour-type classification, and survival prediction from contrast-enhanced CT imaging

from Grad Chat - Queen's School of Graduate Studies and Postdoctoral Affairs · host CFRC Podcast Network

Join Ramtin Mojtahedi (Computing) for a discussion of his PhD research on deep learning approaches for liver cancer segmentation, tumour-type classification, and survival prediction from contrast-enhanced CT imaging. Ramtin is open to discussing his research further and can be reached at [email protected].

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Ramtin Mojtahedi (Computing) – Deep learning approaches for liver cancer segmentation, tumour-type classification, and survival prediction from contrast-enhanced CT imaging

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How long is this episode of Grad Chat - Queen's School of Graduate Studies and Postdoctoral Affairs?

This episode is 39 minutes long.

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This episode was published on December 10, 2025.

What is this episode about?

Join Ramtin Mojtahedi (Computing) for a discussion of his PhD research on deep learning approaches for liver cancer segmentation, tumour-type classification, and survival prediction from contrast-enhanced CT imaging. Ramtin is open to discussing his...

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