Mohamed Ali Cherni

Orcid: 0000-0002-0736-9340

According to our database1, Mohamed Ali Cherni authored at least 12 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
YOLOv6 for Fire Images detection.
Proceedings of the International Conference on Cyberworlds, 2023

2022
Machine Learning based Classification for Fire and Smoke Images Recognition.
Proceedings of the 8th International Conference on Control, 2022

Deep Residual Learning based on ResNet50 for COVID-19 Recognition in Lung CT Images.
Proceedings of the 8th International Conference on Control, 2022

ResNet-50 based fire and smoke images classification <sup>*</sup>.
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

2021
Machine learning for evolutive lymphoma and residual masses recognition in whole body diffusion weighted magnetic resonance images.
Comput. Methods Programs Biomed., 2021

2020
Detecting Abnormal ventricular Contractility from Radionuclide Ventriculography Images.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

2019
Computer-Aided Diagnosis and Volumetric Measurement of Hepatic Metastasis.
J. Medical Imaging Health Informatics, 2019

2018
Efficient Algorithm in Extracting Left Ventricular Ejection Fraction from Isotopic Ventriculography for Heart Pathologies Diagnosis.
Proceedings of the International Conference on Internet of Things, 2018

New Attenuation Map for SPECT Images Quality Enhancement.
Proceedings of the 5th International Conference on Control, 2018

Lymphoma Lesions Detection from Whole Body Diffusion-Weighted Magnetic Resonance Images.
Proceedings of the 5th International Conference on Control, 2018

2016
On the efficiency of OSEM algorithm for tomographic lung CT images reconstruction.
Proceedings of the International Image Processing, Applications and Systems, 2016

Features extraction for medical characterization of nystagmus.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016


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