Abstract 2791: Deep learning-based survival prediction of post-operative GBM patients via multimodal radiomic phenotypes drawn from Kaniadakis vector embedding in latent space.
Year: 2026
Type: conference-abstract
Source: Cancer Research
Authors: Roy Nasr, Bardia Rodd
Institution: SUNY Upstate Medical University
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: closed
OpenAlex ID: W7148666105
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