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Samya Amiri

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2010 – 2019

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2019
[c4]
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Samya Amiri, Mohamed Ali Mahjoub:
HMDHBN: Hidden Markov Inducing a Dynamic Hierarchical Bayesian Network for Tumor Growth Prediction. CAIP (1) 2019: 3-14
2018
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Samya Amiri, Mohamed Ali Mahjoub, Islem Rekik:
Tree-based Ensemble Classifier Learning for Automatic Brain Glioma Segmentation. Neurocomputing 313: 135-142 (2018)
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Samya Amiri, Mohamed Ali Mahjoub, Islem Rekik:
Bayesian Network and Structured Random Forest Cooperative Deep Learning for Automatic Multi-label Brain Tumor Segmentation. ICAART (2) 2018: 183-190
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Samya Amiri, Mohamed Ali Mahjoub, Islem Rekik:
Dynamic Multiscale Tree Learning using Ensemble Strong Classifiers for Multi-label Segmentation of Medical Images with Lesions. VISIGRAPP (4: VISAPP) 2018: 419-426
2017
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Samya Amiri, Mohamed Ali Mahjoub, Islem Rekik:
Dynamic Multiscale Tree Learning Using Ensemble Strong Classifiers for Multi-label Segmentation of Medical Images with Lesions. CoRR abs/1709.01602 (2017)
2016
[c1]
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Samya Amiri, Islem Rekik, Mohamed Ali Mahjoub:
Deep random forest-based learning transfer to SVM for brain tumor segmentation. ATSIP 2016: 297-302

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