Rostom Kachouri

Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images

Mostefa Ben Naceur, Rachida Saouli, Mohamed Akil et al. · Computer Methods and Programs in Biomedicine · 2018 · 243 citations · Full text

Neuro-oncology, Mri Images, Engineering +14

Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy

Mostefa Ben Naceur, Mohamed Akil, Rachida Saouli et al. · Medical Image Analysis · 2020 · 189 citations · Full text

Neuro-oncology, Image Analysis, Engineering +13

Fast and efficient retinal blood vessel segmentation method based on deep learning network

Henda Boudegga, Yaroub Elloumi, Mohamed Akil et al. · Computerized Medical Imaging and Graphics · 2021 · 94 citations · Full text

Convolutional Neural Network, Machine Vision, Machine Learning +15

A comparison study between MLP and convolutional neural network models for character recognition

S. Ben Driss, Mahmoud Soua, Rostom Kachouri et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2017 · 87 citations · Full text

Convolutional Neural Network, Image Analysis, Machine Learning +15

Fully automated method for glaucoma screening using robust optic nerve head detection and unsupervised segmentation based cup-to-disc ratio computation in retinal fundus images

Amed Mvoulana, Rostom Kachouri, Mohamed Akil · Computerized Medical Imaging and Graphics · 2019 · 71 citations · Full text

Cup-to-disc Ratio Computation, Image Analysis, Machine Vision +13