MASSI, MICHELA CARLOTTA

MASSI, MICHELA CARLOTTA  

DIPARTIMENTO DI MATEMATICA  

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Titolo Data di pubblicazione Autori File
A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort 1-gen-2020 Michela Carlotta MassiFrancesca IevaAnna Maria PaganoniPaolo ZuninoAndrea ManzoniNicola Rares Franco +
A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: An application to breast cancer time to diagnosis 1-gen-2022 Massi, Michela CarlottaDominoni, LorenzoIeva, Francesca +
Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases 1-gen-2020 Michela Carlotta MassiFrancesca IevaEmanuele Lettieri
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity 1-gen-2021 Franco, Nicola RaresMassi, Michela CarlottaIeva, FrancescaManzoni, AndreaPaganoni, Anna MariaZunino, Paolo +
Dual adversarial deconfounding autoencoder for joint batch-effects removal from multi-center and multi-scanner radiomics data 1-gen-2023 Cavinato, LaraMassi, Michela CarlottaIeva, Francesca +
Feature selection for imbalanced data with deep sparse autoencoders ensemble 1-gen-2021 Massi, Michela CarlottaIeva, FrancescaPaganoni, Anna Maria +
PH-0656 Prediction of toxicity after prostate cancer RT: the value of a SNP-interaction polygenic risk score 1-gen-2021 Massi, M.Franco, N.Ieva, F.Manzoni, A.Paganoni, A.Zunino, P. +