Work

Mathematical Modelling of Malignant Transformation in Low Grade Gliomas and survival prediction with XGBoost.

Year: 2025

Type: conference-paper

Source: Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

DOI: 10.58530/2025/3392

Authors: Tan Lily, James Ruffle, Sebastian Brandner, Parashkev Nachev, Harpreet Hyare

Language: English

Topic: Glioma Diagnosis and Treatment

Subfield: Genetics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4414236258

FWCI:

Cites:

Cited by:

Related to: