Hiba Mzoughi

According to our database, Hiba Mzoughi authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Deep Learning Approaches for Dermoscopic Image-Based Skin Cancer Diagnosis.

Khouloud Elbedoui, Hiba Mzoughi, Mohamed Ben Slima

Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

Review of MRI brain tumor segmentation and MGMT promoter classification methods on BraTs dataset based on Deep learning.

Feriel Amor, Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima

Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

2023

Deep efficient-nets with transfer learning assisted detection of COVID-19 using chest X-ray radiology imaging.

Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed BenHamida

Multim. Tools Appl., October, 2023

Deep Transfer Learning (DTL) Based-Framework for an Accurate Multi-classification of MRI Brain Tumors.

Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Nouha Farhat, Chokri Mhiri

Proceedings of the International Conference on Cyberworlds, 2023

EXplainable Artificial Intelligence (XAI) for MRI brain tumor diagnosis: A survey.

Hana Charaabi, Hiba Mzoughi, Ridha El Hamdi, Mohamed Njah

Proceedings of the International Conference on Cyberworlds, 2023

2022

Computer Aided Diagnosis (CAD) tool for MS lesions exploration In multimodal brain MRI.

Marwa Nass, Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed BenHamida

Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

Review of Computer Aided-Diagnosis (CAD) Systems for MRI Gliomas brain tumors explorations based on Machine Learning and Deep learning.

Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida

Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

2021

Towards a computer aided diagnosis (CAD) for brain MRI glioblastomas tumor exploration based on a deep convolutional neuronal networks (D-CNN) architectures.

Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida, Chokri Mhiri, Kheireddine Ben Mahfoudh

Multim. Tools Appl., 2021

Deep Convolutional Encoder-Decoder algorithm for MRI brain reconstruction.

Ines Njeh, Hiba Mzoughi, Mohamed Ben Slima, Ahmed Ben Hamida, Chokri Mhiri, Kheireddine Ben Mahfoudh

Medical Biol. Eng. Comput., 2021

2020

Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification.

Hiba Mzoughi, Ines Njeh, Ali Wali, Mohamed Ben Slima, Ahmed Ben Hamida, Chokri Mhiri, Kharedine Ben Mahfoudhe

J. Digit. Imaging, 2020

Glioblastomas brain Tumor Segmentation using Optimized U-Net based on Deep Fully Convolutional Networks (D-FCNs).

Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida

Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

2018

Histogram equalization-based techniques for contrast enhancement of MRI brain Glioma tumor images: Comparative study.

Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida

Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018