A Fusion-Based Approach for Breast Ultrasound Image Classification Using Multiple-ROI Texture and Morphological Analyses. - Mohammad I. Daoud; Tariq M. Bdair; Mahasen Al-Najar; Rami Alazrai (Comput. Math. Methods Medicine, 2016)

ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging. - Tariq M. Bdair; Nassir Navab; Shadi Albarqouni (CoRR, 2020)

Breast Tumor Classification in Ultrasound Images Using Combined Deep and Handcrafted Features. - Mohammad I. Daoud; Samir Abdel-Rahman; Tariq M. Bdair; Mahasen Al-Najjar; Feras Al-Hawari; Rami Alazrai (Sensors, 2020)

FedPerl: Semi-supervised Peer Learning for Skin Lesion Classification. - Tariq M. Bdair; Nassir Navab; Shadi Albarqouni (MICCAI (3), 2021)

Peer Learning for Skin Lesion Classification. - Tariq M. Bdair; Nassir Navab; Shadi Albarqouni (CoRR, 2021)

Virtual embeddings and self-consistency for self-supervised learning. - Tariq M. Bdair; Hossam Abdelhamid; Nassir Navab; Shadi Albarqouni (CoRR, 2022)

ROAM: Random layer mixup for semi-supervised learning in medical images. - Tariq M. Bdair; Benedikt Wiestler; Nassir Navab; Shadi Albarqouni (IET Image Process., 2022)

Annotation-Efficient Medical Imaging with Deep Learning. - Tariq M. Bdair (2023)

Enhancing Dental Diagnosis through Automated Detection of Teeth Diseases in Panoramic Radiographs. - Majdi Rawashdeh; Tariq M. Bdair; Dhai Eddine Salhi (GLOBECOM, 2024)

Medical Image-to-Image Translation with Spatial Self-Attention for Radiotherapy in Federated Learning. - Tariq M. Bdair; Hiba Saadeh; Ban Qaqish; Aya Sulaq; Majdi Rawashdeh (IDSTA, 2024)