Tariq M. Bdair

According to our database, Tariq M. Bdair authored at least 10 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Proceedings of the Fifth International Conference on Intelligent Data Science Technologies and Applications, 2024

Enhancing Dental Diagnosis through Automated Detection of Teeth Diseases in Panoramic Radiographs.

Majdi Rawashdeh, Tariq M. Bdair, Dhai Eddine Salhi

Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023

Annotation-Efficient Medical Imaging with Deep Learning.

Tariq M. Bdair

PhD thesis, 2023

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

Virtual embeddings and self-consistency for self-supervised learning.

Tariq M. Bdair, Hossam Abdelhamid, Nassir Navab, Shadi Albarqouni

CoRR, 2022

2021

Peer Learning for Skin Lesion Classification.

Tariq M. Bdair, Nassir Navab, Shadi Albarqouni

CoRR, 2021

FedPerl: Semi-supervised Peer Learning for Skin Lesion Classification.

Tariq M. Bdair, Nassir Navab, Shadi Albarqouni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging.

Tariq M. Bdair, Nassir Navab, Shadi Albarqouni

CoRR, 2020

2016

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