Najla Al Turkestani
Orcid: 0000-0002-7650-3638
According to our database1,
Najla Al Turkestani
authored at least 12 papers
between 2021 and 2023.
Collaborative distances:
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Bibliography
2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Osteoarthritis Diagnosis Integrating Whole Joint Radiomics and Clinical Features for Robust Learning Models Using Biological Privileged Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Proceedings of the Shape in Medical Imaging - International Workshop, 2023
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
2022
Predicting Osteoarthritis of the Temporomandibular Joint Using Random Forest with Privileged Information.
Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022
Proceedings of the Clinical Image-Based Procedures - 11th Workshop, 2022
2021
Proceedings of the Multimodal Learning for Clinical Decision Support, 2021
Merging and Annotating Teeth and Roots from Automated Segmentation of Multimodal Images.
Proceedings of the Multimodal Learning for Clinical Decision Support, 2021
Temporomandibular Joint Osteoarthritis Diagnosis Using Privileged Learning of Protein Markers.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
TMJOAI: An Artificial Web-Based Intelligence Tool for Early Diagnosis of the Temporomandibular Joint Osteoarthritis.
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021