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Improving Generalizability to Out-Of-Distribution Data in Radiogenomic Models to Predict Idh Mutation Status in Glioma Patients

AuthID
P-00X-7H8

Author(s)

Santinha, J

Matos, C

Papanikolaou, N

Figueiredo, MAT

Document Type

Proceedings Paper

Year published

2022

Published

in 2022 IEEE INTERNATIONAL SYMPOSIUM ON MEDICAL MEASUREMENTS AND APPLICATIONS (MEMEA 2022) in IEEE International Symposium on Medical Measurements and Applications Proceedings-MeMeA

Conference

17Th Ieee International Symposium on Medical Measurements and Applications (Ieee Memea), Date: JUN 22-24, 2022, Location: Messina, ITALY

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Publication Identifiers

DOI: 10.1109/memea54994.2022.9856493

Scopus: 2-s2.0-85137943257

Wos: WOS:000861225100087

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Improving Generalizability to Out-Of-Distribution Data in Radiogenomic Models to Predict Idh Mutation Status in Glioma Patients

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Improving Generalizability to Out-Of-Distribution Data in Radiogenomic Models to Predict Idh Mutation Status in Glioma Patients

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