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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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P-00X-7H8

Author(s)

Santinha, J

Matos, C

Papanikolaou, N

Figueiredo, MAT

Tipo de Documento

Proceedings Paper

Year published

2022

Publicado

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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