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Samya Amiri
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2010 – 2019
- 2019
- [c4]Samya Amiri, Mohamed Ali Mahjoub
:
HMDHBN: Hidden Markov Inducing a Dynamic Hierarchical Bayesian Network for Tumor Growth Prediction. CAIP (1) 2019: 3-14 - 2018
- [j1]Samya Amiri, Mohamed Ali Mahjoub
, Islem Rekik:
Tree-based Ensemble Classifier Learning for Automatic Brain Glioma Segmentation. Neurocomputing 313: 135-142 (2018) - [c3]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 - [c2]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
- [i1]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]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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