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FEMTO-ST
AS2M department

Ouassim Boukhennoufa

Doctorant
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Informatique

AS2M department
DATA-PHM team
E-mail:
ouassim.boukhennouf [at] femto-st.fr
Address:
AS2M (ENSMM)

26 rue de l'Epitaphe
25000 BESANCON

<p>Ouassim a eu un master en informatique, spécialité ingénierie de données et technologies web en Juin 2022. Il est doctorant depuis Février 2023 à FEMTO-ST.</p><p>Sa thèse porte sur le diagnostic automatique de l'hyperparathyroïdie à l'aide de l'intelligence artificielle et l'expertise médicale. Le processus consiste en traitement des images pour améliorer la qualité et extraire l'information nécessaires aux modèles IA.</p>

Ouassim BOUKHENNOUFA's publications

View all publications (4)2025 (3)2024 (1)

2025 (3)

  • inproceedings - Détection des adénomes parathyroı̈diens sur les images pinhole en double isotope 99mTc-MIBI/123I par intelligence artificielle
    11e Journées francophones de Médecine Nucléaire (2025) / Montrouge, France (Volume 49, Issue 2, 2025, Pages pages 1)
    Boukhennoufa, Ouassim | Comas, Laurent | Nicod, Jean-Marc | Zerhouni, Noureddine | Boulahdour, Hatem
    ressource | doi | bibtex
    @inproceedings{53dcc379-f564-4511-85f7-b47d0a321294, title = {D\'etection des ad\'enomes parathyro{\i}̈diens sur les images pinhole en double isotope 99mTc-MIBI/123I par intelligence artificielle}, author = {Boukhennoufa, Ouassim and Comas, Laurent and Nicod, Jean-Marc and Zerhouni, Noureddine and Boulahdour, Hatem}, year = {2025}, address = {Montrouge, France}, booktitle = {11e Journ\'ees francophones de M\'edecine Nucl\'eaire (2025)}, editor = {}, month = {mar}, number = {2}, pages = {1}, url = {https://publiweb.femto-st.fr/tntnet/entries/21315/documents/author/data}, volume = {49}, doi = {https://doi.org/10.1016/j.mednuc.2025.01.182} }
  • inproceedings - Enhancing Image Quality to Improve Medical Image Classification: Application to Nuclear Medicine Planar Images
    18th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2025) / Porto, Portugal (Volume 1, 2025, Pages pages 303 - 310)
    Boukhennoufa, Ouassim | Comas, Laurent | Nicod, Jean-Marc | Zerhouni, Noureddine | Boulahdour, Hatem
    ressource | doi | bibtex
    @inproceedings{a8870724-f98f-4602-9bec-b5fc8f41d43a, title = {Enhancing Image Quality to Improve Medical Image Classification: Application to Nuclear Medicine Planar Images}, author = {Boukhennoufa, Ouassim and Comas, Laurent and Nicod, Jean-Marc and Zerhouni, Noureddine and Boulahdour, Hatem}, year = {2025}, address = {Porto, Portugal}, booktitle = {18th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2025)}, editor = {a8870724-f98f-4602-9bec-b5fc8f41d43a-editor.pdf}, month = {feb}, pages = {303 - 310}, url = {https://publiweb.femto-st.fr/tntnet/entries/21247/documents/author/data}, volume = {1}, doi = {10.5220/0013113800003911} }
  • article - NM-USNet: A novel generative model for parathyroid glands detection in nuclear medicine
    Biomedical Signal Processing and Control (Volume 104, Issue (-), jan 2025, Pages :107493 (10))
    Boukhennoufa, Ouassim | Comas, Laurent | Nicod, Jean-Marc | Zerhouni, Noureddine | Boulahdour, Hatem
    doi

2024 (1)

  • inproceedings - Automatic Detection of Parathyroid Glands in Nuclear Medicine
    2024 International Symposium on Biomedical Imaging (ISBI 2024) / Athens, Greece (2024, Pages pages 1 - 8)
    Boukhennoufa, Ouassim | Comas, Laurent | Nicod, Jean-Marc | Ungureanu, Constantin | Zerhouni, Noureddine | Boulahdour, Hatem
    ressource | doi | bibtex
    @inproceedings{481d2e02-bd4e-410b-a425-28f96189f69b, title = {Automatic Detection of Parathyroid Glands in Nuclear Medicine}, author = {Boukhennoufa, Ouassim and Comas, Laurent and Nicod, Jean-Marc and Ungureanu, Constantin and Zerhouni, Noureddine and Boulahdour, Hatem}, year = {2024}, address = {Athens, Greece}, booktitle = {2024 International Symposium on Biomedical Imaging (ISBI 2024)}, editor = {}, month = {may}, pages = {1 - 8}, url = {https://publiweb.femto-st.fr/tntnet/entries/20665/documents/author/data}, doi = {10.1109/ISBI56570.2024.10635117} }