Publications by authors named "Nicholas Ayache"

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Optimizing intraoperative AI: evaluation of YOLOv8 for real-time recognition of robotic and laparoscopic instruments.
Sébastien Frey, Federica Facente, Wen Wei, Ezem Sura Ekmekci, Eric Séjor, Nicholas Ayache

J Robot Surg· March 2025

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WhARIO: whole-slide-image-based survival analysis for patients treated with immunotherapy.
Paul Tourniaire, Marius Ilie, Julien Mazières, Anna Vigier, François Ghiringhelli, Nicholas Ayache

J Med Imaging (Bellingham)· May 2024

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Reference standard for the evaluation of automatic segmentation algorithms: Quantification of inter observer variability of manual delineation of prostate contour on MRI.
Sébastien Molière, Dimitri Hamzaoui, Benjamin Granger, Sarah Montagne, Alexandre Allera, Nicholas Ayache

Diagn Interv Imaging· February 2024

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How will tomorrow's algorithms fuse multimodal data? The example of the neuroprognosis in Intensive Care.
Théodore Soulier, Olivier Colliot, Nicholas Ayache, Benjamin Rohaut

Anaesth Crit Care Pain Med· December 2023

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Comparison of physics-based deformable registration methods for image-guided neurosurgery.
Nikos Chrisochoides, Yixun Liu, Fotis Drakopoulos, Andriy Kot, Panos Foteinos, Nicholas Ayache

Front Digit Health· December 2023

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Real-Time Dynamic Data Driven Deformable Registration for Image-Guided Neurosurgery: Computational Aspects.
Nikos Chrisochoides, Andrey Fedorov, Yixun Liu, Andriy Kot, Panos Foteinos, Nicholas Ayache

ArXiv· September 2023

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Deep clustering for abdominal organ classification in ultrasound imaging.
Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau, Eric de Kerviler, Nicholas Ayache

J Med Imaging (Bellingham)· May 2023

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MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images.
Paul Tourniaire, Marius Ilie, Paul Hofman, Nicholas Ayache, Hervé Delingette

Med Image Anal· April 2023

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Automatic segmentation of prostate zonal anatomy on MRI: a systematic review of the literature.
Carine Wu, Sarah Montagne, Dimitri Hamzaoui, Nicholas Ayache, Hervé Delingette

Insights Imaging· December 2022

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Online hard example mining vs. fixed oversampling strategy for segmentation of new multiple sclerosis lesions from longitudinal FLAIR MRI.
Marius Schmidt-Mengin, Théodore Soulier, Mariem Hamzaoui, Arya Yazdan-Panah, Benedetta Bodini, Nicholas Ayache

Front Neurosci· November 2022

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Big Data and Artificial Intelligence in Vascular Surgery: Time for Multidisciplinary Cross-Border Collaboration.
Fabien Lareyre, Christian-Alexander Behrendt, Arindam Chaudhuri, Nicholas Ayache, Hervé Delingette

Angiology· September 2022

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Prostate volume prediction on MRI: tools, accuracy and variability.
Dimitri Hamzaoui, Sarah Montagne, Benjamin Granger, Alexandre Allera, Malek Ezziane, Nicholas Ayache

Eur Radiol· July 2022

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Correction to: Prostate volume prediction on MRI: tools, accuracy and variability.
Dimitri Hamzaoui, Sarah Montagne, Benjamin Granger, Alexandre Allera, Malek Ezziane, Nicholas Ayache

Eur Radiol· July 2022

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SimulAD: a dynamical model for personalized simulation and disease staging in Alzheimer's disease.
Abi Nader Clément, Federica Ribaldi, Giovanni B Frisoni, Valentina Garibotto, Philippe Robert, Nicholas Ayache

Neurobiol Aging· May 2022

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Deep Learning for the Detection, Localization, and Characterization of Focal Liver Lesions on Abdominal US Images.
Hind Dadoun, Anne-Laure Rousseau, Eric de Kerviler, Jean-Michel Correas, Anne-Marie Tissier, Nicholas Ayache

Radiol Artif Intell· May 2022

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Automatic zonal segmentation of the prostate from 2D and 3D T2-weighted MRI and evaluation for clinical use.
Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, Nicholas Ayache, Hervé Delingette

J Med Imaging (Bellingham)· March 2022

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Deep Learning Facilitates Distinguishing Histologic Subtypes of Pulmonary Neuroendocrine Tumors on Digital Whole-Slide Images.
Marius Ilié, Jonathan Benzaquen, Paul Tourniaire, Simon Heeke, Nicholas Ayache

Cancers (Basel)· March 2022

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Deep reinforcement learning in medical imaging: A literature review.
S Kevin Zhou, Hoang Ngan Le, Khoa Luu, Hien V Nguyen, Nicholas Ayache

Med Image Anal· October 2021

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Applications of artificial intelligence in cardiovascular imaging.
Maxime Sermesant, Hervé Delingette, Hubert Cochet, Pierre Jaïs, Nicholas Ayache

Nat Rev Cardiol· August 2021

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Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology.
Sarah Montagne, Dimitri Hamzaoui, Alexandre Allera, Malek Ezziane, Anna Luzurier, Nicholas Ayache

Insights Imaging· June 2021

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Learning a Generative Motion Model From Image Sequences Based on a Latent Motion Matrix.
Julian Krebs, Herve Delingette, Nicholas Ayache, Tommaso Mansi

IEEE Trans Med Imaging· May 2021

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How can we combat multicenter variability in MR radiomics? Validation of a correction procedure.
Fanny Orlhac, Augustin Lecler, Julien Savatovski, Jessica Goya-Outi, Christophe Nioche, Nicholas Ayache

Eur Radiol· April 2021

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Simulating the outcome of amyloid treatments in Alzheimer's disease from imaging and clinical data.
Clément Abi Nader, Nicholas Ayache, Giovanni B Frisoni, Philippe Robert, Marco Lorenzi

Brain Commun· April 2021

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Predicting PET-derived myelin content from multisequence MRI for individual longitudinal analysis in multiple sclerosis.
Wen Wei, Emilie Poirion, Benedetta Bodini, Matteo Tonietto, Stanley Durrleman, Nicholas Ayache

Neuroimage· December 2020

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Pathological Cluster Identification by Unsupervised Analysis in 3,822 UK Biobank Cardiac MRIs.
Qiao Zheng, Hervé Delingette, Kenneth Fung, Steffen E Petersen, Nicholas Ayache

Front Cardiovasc Med· November 2020

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