Search Results - "Elhaik, Mickael"
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A Predictive Clinical-Radiomics Nomogram for Survival Prediction of Glioblastoma Using MRI
Published in Diagnostics (Basel) (04-11-2021)“…Glioblastoma (GBM) is the most common and aggressive primary brain tumor in adult patients with a median survival of around one year. Prediction of survival…”
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Journal Article -
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Machine-Learning-Based Radiomics MRI Model for Survival Prediction of Recurrent Glioblastomas Treated with Bevacizumab
Published in Diagnostics (Basel) (14-07-2021)“…Anti-angiogenic therapy with bevacizumab is a widely used therapeutic option for recurrent glioblastoma (GBM). Nevertheless, the therapeutic response remains…”
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Automatic cervical lymphadenopathy segmentation from CT data using deep learning
Published in Diagnostic and interventional imaging (01-11-2021)“…•Despite limited available data and partial annotations, a convolutional neural network-based approach provides encouraging results for the segmentation of…”
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Contrast-Enhanced Brain MRI Synthesis With Deep Learning: Key Input Modalities and Asymptotic Performance
Published in 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) (13-04-2021)“…Contrast-enhanced medical images offer vital insights for the accurate diagnosis, characterization and treatment of tumors, and are routinely used worldwide…”
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Conference Proceeding -
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Analyse automatique de caractéristiques radiomiques pour le diagnostic des tumeurs de la glande parotide
Published in Journal of neuroradiology (01-06-2021)“…Le but de cette étude est d’étudier les performances de l’analyse radiomique IRM dans le cadre du diagnostic des tumeurs des glandes parotides utilisant des…”
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Journal Article -
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Identification de biomarqueurs prédisant la survie de patients atteints de glioblastomes et traités au Bevacizumab
Published in Journal of neuroradiology (01-06-2021)“…Le glioblastome est le type de tumeur cérébrale primaire la plus agressive chez l’adulte avec un mauvais pronostic. L’anti angiogénique avec le bevacizumab,…”
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Journal Article