Diagnosis of osteoporosis disease from bone X-ray images with stacked sparse autoencoder and SVM classifier. - Yassine Nasser; Mohammed El Hassouni; Abdelbasset Brahim; Hechmi Toumi; Eric Lespessailles; Rachid Jennane (ATSIP, 2017)

Discriminative Regularized Auto-Encoder for Early Detection of Knee OsteoArthritis: Data from the Osteoarthritis Initiative. - Yassine Nasser; Rachid Jennane; Aladine Chetouani; Eric Lespessailles; Mohammed El Hassouni (IEEE Trans. Medical Imaging, 2020)

Discriminative Deep Neural Network for Predicting Knee OsteoArthritis in Early Stage. - Yassine Nasser; Mohammed El Hassouni; Rachid Jennane (PRIME@MICCAI, 2022)

Automatic diagnosis of knee osteoarthritis severity using Swin transformer. - Aymen Sekhri; Mohamed Amine Kerkouri; Aladine Chetouani; Marouane Tliba; Yassine Nasser; Rachid Jennane; Alessandro Bruno (CBMI, 2023)

Effects of Region of Interest Location on Osteoarthritis Detection Using Deep Feature Learning. - Tinhinane Mehdi; Yassine Nasser; Ahmad Almhdie; Soraya Aloui; Rachid Jennane (IPTA, 2023)

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

Shifting Focus: From Global Semantics to Local Prominent Features in Swin-Transformer for Knee Osteoarthritis Severity Assessment. - Aymen Sekhri; Marouane Tliba; Mohamed Amine Kerkouri; Yassine Nasser; Aladine Chetouani; Alessandro Bruno; Rachid Jennane (EUSIPCO, 2024)

SWE-Net: Sliced-Wasserstein EfficientNet for Learning Discriminative Texture Features in Early Diagnosis of Knee Osteoarthritis. - Yassine Nasser; Mohammed El Hassouni; Aladine Chetouani; Rachid Jennane (IPTA, 2024)

Deep learning based approach combining shape and texture features for knee osteoarthritis prediction from X-ray images. - Tinhinane Mehdi; Yassine Nasser; Soraya Aloui; Rachid Jennane (Biomed. Signal Process. Control., 2025)