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Publications of Hind Dadoun
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Hind Dadoun.
AI-based analysis of abdominal ultrasound images to support medical diagnosis.
Theses,
Université Côte d'Azur,
December 2022.
Keyword(s): Ultrasound imaging,
Bayesian learning,
Object detection,
Self-supervised learning,
Semi-supervised learning,
Natural language processing,
Imagerie ultrasonore,
Apprentissage bayésien,
Détection d'objets,
Apprentissage auto-supervisé,
Apprentissage semi-supervisé,
Traitement du langage naturel.
[bibtex-entry]
Articles in journal, book chapters |
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Hind Dadoun,
Hervé Delingette,
Anne-Laure Rousseau,
Eric de Kerviler,
and Nicholas Ayache.
Deep Clustering for Abdominal Organ Classification in US imaging.
Journal of Medical Imaging,
10(3):034502,
2023.
Keyword(s): ultrasound imaging,
representation learning,
deep clustering,
semi-supervised learning.
[bibtex-entry]
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Hind Dadoun,
Anne-Laure Rousseau,
Eric de Kerviler,
Jean Michel Correas,
Anne-Marie Tissier,
Fanny Joujou,
Sylvain Bodard,
Kemel Khezzane,
Constance de Margerie-Mellon,
Hervé Delingette,
and Nicholas Ayache.
Detection, Localization, and Characterization of Focal Liver Lesions in Abdominal US with Deep Learning.
Radiology: Artificial Intelligence,
4(3),
2022.
[bibtex-entry]
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Hind Dadoun,
Hervé Delingette,
Anne-Laure Rousseau,
Eric de Kerviler,
and Nicholas Ayache.
Joint representation learning from french radiological reports and ultrasound images.
In IEEE ISBI 2023 - International Symposium on Biomedical Imaging,
Cartagena de Indias, Colombia,
April 2023.
IEEE.
Keyword(s): multimodal learning deep clustering natural language processing ultrasound examinations kidneys,
multimodal learning,
deep clustering,
natural language processing,
ultrasound examinations,
kidneys.
[bibtex-entry]
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Hind Dadoun,
Hervé Delingette,
Anne-Laure Rousseau,
Eric de Kerviler,
and Nicholas Ayache.
Combining Bayesian and Deep Learning Methods for the Delineation of the Fan in Ultrasound Images.
In ISBI 2021 - 18th IEEE International Symposium on Biomedical Imaging,
Nice, France,
April 2021.
Keyword(s): Ultrasound imaging,
Deep Learning,
Ultrasound fan area detection,
pre-processing.
[bibtex-entry]
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