Yassine Nasser

Orcid: 0000-0002-5347-0386

According to our database1, Yassine Nasser authored at least 9 papers between 2017 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Deep learning based approach combining shape and texture features for knee osteoarthritis prediction from X-ray images.
Biomed. Signal Process. Control., 2025

2024
SWE-Net: Sliced-Wasserstein EfficientNet for Learning Discriminative Texture Features in Early Diagnosis of Knee Osteoarthritis.
Proceedings of the Thirteenth IEEE International Conference on Image Processing Theory, 2024

Shifting Focus: From Global Semantics to Local Prominent Features in Swin-Transformer for Knee Osteoarthritis Severity Assessment.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Enhanced deep neural networks for early diagnosis of knee osteoarthritis. (Réseaux de neurones profonds améliorés pour le diagnostic précoce de la gonarthrose).
PhD thesis, 2023

Effects of Region of Interest Location on Osteoarthritis Detection Using Deep Feature Learning.
Proceedings of the Twelfth International Conference on Image Processing Theory, 2023

Automatic diagnosis of knee osteoarthritis severity using Swin transformer.
Proceedings of the 20th International Conference on Content-based Multimedia Indexing, 2023

2022
Discriminative Deep Neural Network for Predicting Knee OsteoArthritis in Early Stage.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

2020
Discriminative Regularized Auto-Encoder for Early Detection of Knee OsteoArthritis: Data from the Osteoarthritis Initiative.
IEEE Trans. Medical Imaging, 2020

2017
Diagnosis of osteoporosis disease from bone X-ray images with stacked sparse autoencoder and SVM classifier.
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017


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