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ORCIDHiba Mzoughi
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2020 – today
- 2024
[c8]Khouloud Elbedoui, Hiba Mzoughi, Mohamed Ben Slima:
Deep Learning Approaches for Dermoscopic Image-Based Skin Cancer Diagnosis. ATSIP 2024: 1-7- [c7]Feriel Amor, Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima:
Review of MRI brain tumor segmentation and MGMT promoter classification methods on BraTs dataset based on Deep learning. ATSIP 2024: 249-254 - 2023
- [j4]Hiba Mzoughi
, Ines Njeh, Mohamed Ben Slima, Ahmed BenHamida:
Deep efficient-nets with transfer learning assisted detection of COVID-19 using chest X-ray radiology imaging. Multim. Tools Appl. 82(25): 39303-39325 (2023) - [c6]Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Nouha Farhat, Chokri Mhiri:
Deep Transfer Learning (DTL) Based-Framework for an Accurate Multi-classification of MRI Brain Tumors. CW 2023: 86-93 - [c5]Hana Charaabi, Hiba Mzoughi, Ridha El Hamdi, Mohamed Njah:
EXplainable Artificial Intelligence (XAI) for MRI brain tumor diagnosis: A survey. CW 2023: 171-178 - 2022
- [c4]Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida:
Review of Computer Aided-Diagnosis (CAD) Systems for MRI Gliomas brain tumors explorations based on Machine Learning and Deep learning. ATSIP 2022: 1-6 - [c3]Marwa Nass, Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed BenHamida:
Computer Aided Diagnosis (CAD) tool for MS lesions exploration In multimodal brain MRI. ATSIP 2022: 1-6 - 2021
- [j3]Ines Njeh, Hiba Mzoughi, Mohamed Ben Slima, Ahmed Ben Hamida, Chokri Mhiri, Kheireddine Ben Mahfoudh:
Deep Convolutional Encoder-Decoder algorithm for MRI brain reconstruction. Medical Biol. Eng. Comput. 59(7-8): 85-106 (2021) - [j2]Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida, Chokri Mhiri, Kheireddine Ben Mahfoudh:
Towards a computer aided diagnosis (CAD) for brain MRI glioblastomas tumor exploration based on a deep convolutional neuronal networks (D-CNN) architectures. Multim. Tools Appl. 80(1): 899-919 (2021) - 2020
- [j1]Hiba Mzoughi, Ines Njeh, Ali Wali, Mohamed Ben Slima, Ahmed Ben Hamida, Chokri Mhiri, Kharedine Ben Mahfoudhe:
Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification. J. Digit. Imaging 33(4): 903-915 (2020) - [c2]Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida:
Glioblastomas brain Tumor Segmentation using Optimized U-Net based on Deep Fully Convolutional Networks (D-FCNs). ATSIP 2020: 1-6
2010 – 2019
- 2018
- [c1]Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida:
Histogram equalization-based techniques for contrast enhancement of MRI brain Glioma tumor images: Comparative study. ATSIP 2018: 1-6
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