| Deep multi-scale 3D convolutional neural network (CNN) for MRI gliomas brain tumor classification H Mzoughi, I Njeh, A Wali, MB Slima, A BenHamida, C Mhiri, ... Journal of Digital Imaging 33, 903-915, 2020 | 271 | 2020 |
| Histogram equalization-based techniques for contrast enhancement of MRI brain Glioma tumor images: Comparative study H Mzoughi, I Njeh, MB Slima, AB Hamida 2018 4th International conference on advanced technologies for signal and …, 2018 | 32 | 2018 |
| Denoising and contrast-enhancement approach of magnetic resonance imaging glioblastoma brain tumors H Mzoughi, I Njeh, M Ben Slima, A Ben Hamida, C Mhiri, K Ben Mahfoudh Journal of Medical Imaging 6 (4), 044002-044002, 2019 | 20 | 2019 |
| Towards a computer aided diagnosis (CAD) for brain MRI glioblastomas tumor exploration based on a deep convolutional neuronal networks (D-CNN) architectures H Mzoughi, I Njeh, MB Slima, A Ben Hamida, C Mhiri, KB Mahfoudh Multimedia Tools and Applications 80, 899-919, 2021 | 13 | 2021 |
| Review of Computer Aided-Diagnosis (CAD) Systems for MRI Gliomas brain tumors explorations based on Machine Learning and Deep learning H Mzoughi, I Njeh, MB Slima, AB Hamida 2022 6th International Conference on Advanced Technologies for Signal and …, 2022 | 8 | 2022 |
| Deep Convolutional Encoder-Decoder algorithm for MRI brain reconstruction I Njeh, H Mzoughi, M Ben Slima, A Ben Hamida, C Mhiri, K Ben Mahfoudh Medical & Biological Engineering & Computing 59, 85-106, 2021 | 8 | 2021 |
| Glioblastomas brain Tumor Segmentation using Optimized U-Net based on Deep Fully Convolutional Networks (D-FCNs) H Mzoughi, I Njeh, MB Slima, A Benhamida 2020 5th International Conference on Advanced Technologies for Signal and …, 2020 | 8 | 2020 |
| Deep efficient-nets with transfer learning assisted detection of COVID-19 using chest X-ray radiology imaging H Mzoughi, I Njeh, MB Slima, A BenHamida Multimedia Tools and Applications 82 (25), 39303-39325, 2023 | 5 | 2023 |
| Deep Transfer Learning (DTL) Based-Framework for an Accurate Multi-classification of MRI Brain Tumors H Mzoughi, I Njeh, MB Slima, N Farhat, C Mhiri 2023 International Conference on Cyberworlds (CW), 86-93, 2023 | 2 | 2023 |
| Computer aided diagnosis (cad) tool for ms lesions exploration in multimodal brain MRI M Nass, H Mzoughi, I Njeh, M Benslima, A BenHamida 2022 6th International Conference on Advanced Technologies for Signal and …, 2022 | 2 | 2022 |
| A Deep Learning Based Computer Aided Diagnosis (Cad) Tool Supported by Explainable Artificial Intelligence for Breast Cancer Exploration M Naas, H Mzoughi, I Njeh, MB Slima Available at SSRN 4689420, 0 | 1 | |
| Deep Learning Approaches for Dermoscopic Image-Based Skin Cancer Diagnosis K Elbedoui, H Mzoughi, MB Slima 2024 IEEE 7th International Conference on Advanced Technologies, Signal and …, 2024 | | 2024 |
| Review of MRI brain tumor segmentation and MGMT promoter classification methods on BraTs dataset based on Deep learning F Amor, H Mzoughi, I Njeh, MB Slima 2024 IEEE 7th International Conference on Advanced Technologies, Signal and …, 2024 | | 2024 |
| Vision transformers (ViT) and deep convolutional neural network (D-CNN)-based models for MRI brain primary tumors images multi-classification supported by explainable … H Mzoughi, I Njeh, M BenSlima, N Farhat, C Mhiri The Visual Computer, 1-20, 2024 | | 2024 |
| Automatic Breast Cancer Exploration Using Pre-Trained Deep Convolutional Neural Networks (CNNs) M Naas, H Mzoughi, I Njeh, MBEN Slima 2023 IEEE Third International Conference on Signal, Control and …, 2023 | | 2023 |
| EXplainable Artificial Intelligence (XAI) for MRI brain tumor diagnosis: A survey H Charaabi, H Mzoughi, R Hamdi, M Njah 2023 International Conference on Cyberworlds (CW), 171-178, 2023 | | 2023 |
