Mohammed El Adoui

Orcid: 0000-0003-1891-2318

Affiliations:
  • University of Mons, Computer Science Unit, Faculty of Engineering, Belgium


According to our database1, Mohammed El Adoui authored at least 14 papers between 2017 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks.
CoRR, 2023

2022
Composite Score for Anomaly Detection in Imbalanced Real-World Industrial Dataset.
CoRR, 2022

2021
Prédiction de l'efficacité de la chimiothérapie appliquée au cancer du sein par le traitement d'images et le Deep Learning. (Predicting the Breast Cancer response to Chemotherapy by Image Processing and Deep Learning).
PhD thesis, 2021

2020
Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study.
CoRR, 2020

Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images.
Int. J. Comput. Assist. Radiol. Surg., 2020

Towards Breast Cancer Response Prediction using Artificial Intelligence and Radiomics.
Proceedings of the 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications, 2020

2019
MRI Breast Tumor Segmentation Using Different Encoder and Decoder CNN Architectures.
Comput., 2019

Deep Learning approach predicting breast tumor response to neoadjuvant treatment using DCE-MRI volumes acquired before and after chemotherapy.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Predict Breast Tumor Response to Chemotherapy Using a 3D Deep Learning Architecture Applied to DCE-MRI Data.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

2018
A PRM approach for early prediction of breast cancer response to chemotherapy based on registered MR images.
Int. J. Comput. Assist. Radiol. Surg., 2018

Internet of Things: Learning and practices. Application to smart home.
Proceedings of the International Conference on Advanced Communication Technologies and Networking, 2018

Automated Breast Tumor Segmentation in DCE-MRI Using Deep Learning.
Proceedings of the 2018 4th International Conference on Cloud Computing Technologies and Applications, 2018

2017
Cloud-based platform for computer vision applications.
Proceedings of the 2017 International Conference on Smart Digital Environment, 2017

Analyzing breast tumor heterogeneity to predict the response to chemotherapy using 3D MR images registration.
Proceedings of the 2017 International Conference on Smart Digital Environment, 2017


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