-
Sébastien Frey,
Federica Facente,
Wen Wei,
Ezem Sura Ekmekci,
Eric Séjor,
Patrick Baqué,
Matthieu Durand,
Hervé Delingette,
Francois Bremond,
Pierre Berthet-Rayne,
and Nicholas Ayache.
Optimizing Intraoperative AI: Evaluation of YOLOv8 for Real-Time Recognition of Robotic and Laparoscopic Instruments.
Journal of Robotic Surgery,
April 2025.
Keyword(s): Computer-Assisted Surgery,
Computer vision,
Surgical instrument detection,
Instrument segmentation,
Robotic surgery,
YoloV8.
@article{frey:hal-04845670,
TITLE = {{Optimizing Intraoperative AI: Evaluation of YOLOv8 for Real-Time Recognition of Robotic and Laparoscopic Instruments}},
AUTHOR = {Frey, S{\'e}bastien and Facente, Federica and Wei, Wen and Ekmekci, Ezem Sura and S{\'e}jor, Eric and Baqu{\'e}, Patrick and Durand, Matthieu and Delingette, Herv{\'e} and Bremond, Francois and Berthet-Rayne, Pierre and Ayache, Nicholas},
url-hal= {https://hal.science/hal-04845670},
JOURNAL = {{Journal of Robotic Surgery}},
PUBLISHER = {{Springer Verlag}},
YEAR = {2025},
MONTH = Apr,
DOI = {10.21203/rs.3.rs-5500374/v1},
KEYWORDS = {Computer-Assisted Surgery ; Computer vision ; Surgical instrument detection ; Instrument segmentation ; Robotic surgery ; YoloV8},
HAL_ID = {hal-04845670},
HAL_VERSION = {v1},
}
-
Sebastien Goffart,
Hervé Delingette,
Andrea Chierici,
Lisa Guzzi,
Bahaa Nasr,
Fabien Lareyre,
and Juliette Raffort.
Artificial Intelligence Techniques for Prognostic and Diagnostic Assessments in Peripheral Artery Disease: A Scoping Review.
Angiology,
2025.
Keyword(s): Machine Learning,
Peripheral Artery Disease (PAD),
Artificial Intelligence (AI),
Machine Learning (ML),
Diagnosis,
Prognosis.
@article{goffart:hal-04922713,
TITLE = {{Artificial Intelligence Techniques for Prognostic and Diagnostic Assessments in Peripheral Artery Disease: A Scoping Review}},
AUTHOR = {Goffart, Sebastien and Delingette, Herv{\'e} and Chierici, Andrea and Guzzi, Lisa and Nasr, Bahaa and Lareyre, Fabien and Raffort, Juliette},
url-hal= {https://hal.science/hal-04922713},
JOURNAL = {{Angiology}},
PUBLISHER = {{SAGE Publications}},
YEAR = {2025},
DOI = {10.1177/00033197241310572},
KEYWORDS = {Machine Learning ; Peripheral Artery Disease (PAD) ; Artificial Intelligence (AI) ; Machine Learning (ML) ; Diagnosis ; Prognosis},
PDF = {https://hal.science/hal-04922713v1/file/Manuscript_final.pdf},
HAL_ID = {hal-04922713},
HAL_VERSION = {v1},
}
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Sébastien Molière,
Dimitri Hamzaoui,
Guillaume Ploussard,
Romain Mathieu,
Gaëlle Fiard,
Michael Baboudjian,
benjamin granger,
Morgan Roupret,
Hervé Delingette,
and Raphaële Renard-Penna.
A Systematic Review of the Diagnostic Accuracy of Deep Learning Models for the Automatic Detection, Localization, and Characterization of Clinically Significant Prostate Cancer on Magnetic Resonance Imaging.
European Urology Oncology,
2025.
Keyword(s): Artificial intelligence,
Deep learning,
Diagnostic accuracy,
Magnetic resonance imaging,
Prostate cancer,
Systematic review.
@article{moliere:hal-04827079,
TITLE = {{A Systematic Review of the Diagnostic Accuracy of Deep Learning Models for the Automatic Detection, Localization, and Characterization of Clinically Significant Prostate Cancer on Magnetic Resonance Imaging}},
AUTHOR = {Moli{\`e}re, S{\'e}bastien and Hamzaoui, Dimitri and Ploussard, Guillaume and Mathieu, Romain and Fiard, Ga{\"e}lle and Baboudjian, Michael and granger, benjamin and Roupret, Morgan and Delingette, Herv{\'e} and Renard-Penna, Rapha{\"e}le},
url-hal= {https://hal.science/hal-04827079},
JOURNAL = {{European Urology Oncology}},
PUBLISHER = {{Elsevier}},
YEAR = {2025},
DOI = {10.1016/j.euo.2024.11.001},
KEYWORDS = {Artificial intelligence ; Deep learning ; Diagnostic accuracy ; Magnetic resonance imaging ; Prostate cancer ; Systematic review},
PDF = {https://hal.science/hal-04827079v1/file/1-s2.0-S2588931124002487-main.pdf},
HAL_ID = {hal-04827079},
HAL_VERSION = {v1},
}
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Wilhelm Wimmer and Hervé Delingette.
Second order kinematic surface fitting in anatomical structures.
Medical Image Analysis,
pp 103488,
February 2025.
Keyword(s): Stationary velocity field,
Symmetry,
Core line detection,
Cochlea,
Shape classification.
@article{wimmer:hal-04937619,
TITLE = {{Second order kinematic surface fitting in anatomical structures}},
AUTHOR = {Wimmer, Wilhelm and Delingette, Herv{\'e}},
url-hal= {https://inria.hal.science/hal-04937619},
JOURNAL = {{Medical Image Analysis}},
PUBLISHER = {{Elsevier}},
PAGES = {103488},
YEAR = {2025},
MONTH = Feb,
DOI = {10.1016/j.media.2025.103488},
KEYWORDS = {Stationary velocity field ; Symmetry ; Core line detection ; Cochlea ; Shape classification},
PDF = {https://inria.hal.science/hal-04937619v1/file/Final___Second_Order_Kinematic_Surface_Fitting_in_Anatomical_Structures%20%281%29.pdf},
HAL_ID = {hal-04937619},
HAL_VERSION = {v1},
}
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Yanis Aeschlimann,
Anna Calissano,
Théodore Papadopoulo,
and Samuel Deslauriers-Gauthier.
Brain network alignment using structural and functional connectivity with anatomical constraints.
Note: Working paper or preprint,
January 2025.
Keyword(s): Structural connectivity,
Functional connectivity,
cortical atlas,
graph alignment,
inter-subject variability.
@unpublished{aeschlimann:hal-04387986,
TITLE = {{Brain network alignment using structural and functional connectivity with anatomical constraints}},
AUTHOR = {Aeschlimann, Yanis and Calissano, Anna and Papadopoulo, Th{\'e}odore and Deslauriers-Gauthier, Samuel},
url-hal= {https://hal.science/hal-04387986},
NOTE = {working paper or preprint},
YEAR = {2025},
MONTH = Jan,
KEYWORDS = {Structural connectivity ; Functional connectivity ; cortical atlas ; graph alignment ; inter-subject variability},
PDF = {https://hal.science/hal-04387986v2/file/ISBI_2025_Yanis_reviewed_version.pdf},
HAL_ID = {hal-04387986},
HAL_VERSION = {v2},
}
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Francesco Cremonesi,
Lucie Chambon,
Nelson Mokkadem,
Huyen Thi Trang Nguyen,
Oliver Humbert,
and Marco Lorenzi.
Knowledge-based semantic enrichment of medical imaging data for automatic phenotyping and pattern discovery in metastatic lung cancer.
Note: Working paper or preprint,
February 2025.
@unpublished{cremonesi:hal-04879690,
TITLE = {{Knowledge-based semantic enrichment of medical imaging data for automatic phenotyping and pattern discovery in metastatic lung cancer}},
AUTHOR = {Cremonesi, Francesco and Chambon, Lucie and Mokkadem, Nelson and Nguyen, Huyen Thi Trang and Humbert, Oliver and Lorenzi, Marco},
url-hal= {https://hal.science/hal-04879690},
NOTE = {working paper or preprint},
YEAR = {2025},
MONTH = Feb,
PDF = {https://hal.science/hal-04879690v1/file/whitepaper.pdf},
HAL_ID = {hal-04879690},
HAL_VERSION = {v1},
}
-
Francesco Cremonesi,
Lucia Innocenti,
Sebastien Ourselin,
Vicky Goh,
Michela Antonelli,
and Marco Lorenzi.
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications.
Note: Working paper or preprint,
January 2025.
Keyword(s): Collaborative learning,
healthcare,
sustainable AI,
trustworthy AI,
federated learning consensus-based learning,
medical imaging.
@unpublished{cremonesi:hal-04893012,
TITLE = {{A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications}},
AUTHOR = {Cremonesi, Francesco and Innocenti, Lucia and Ourselin, Sebastien and Goh, Vicky and Antonelli, Michela and Lorenzi, Marco},
url-hal= {https://hal.science/hal-04893012},
NOTE = {working paper or preprint},
YEAR = {2025},
MONTH = Jan,
KEYWORDS = {Collaborative learning ; healthcare ; sustainable AI ; trustworthy AI ; federated learning consensus-based learning ; medical imaging},
PDF = {https://hal.science/hal-04893012v1/file/2412.06494v1.pdf},
HAL_ID = {hal-04893012},
HAL_VERSION = {v1},
}