Publications by authors named "Mathieu Hatt"

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Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications.
Dimitris Visvikis, Catherine Cheze Le Rest, Vincent Jaouen, Mathieu Hatt

Eur J Nucl Med Mol Imaging· December 2019

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Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications.
Dimitris Visvikis, Catherine Cheze Le Rest, Vincent Jaouen, Mathieu Hatt

Eur J Nucl Med Mol Imaging· December 2019

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Reconstruction-based approach for chest X-ray image segmentation and enhanced multi-label chest disease classification.
Aya Hage Chehade, Nassib Abdallah, Jean-Marie Marion, Mathieu Hatt, Mohamad Oueidat

Artif Intell Med· July 2025

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Auto-Segmentation via deep-learning approaches for the assessment of flap volume after reconstructive surgery or radiotherapy in head and neck cancer.
Juliette Thariat, Zacharia Mesbah, Youssef Chahir, Arnaud Beddok, Alice Blache, Mathieu Hatt

Sci Rep· July 2025

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Advancing chest X-ray diagnostics: A novel CycleGAN-based preprocessing approach for enhanced lung disease classification in ChestX-Ray14.
Aya Hage Chehade, Nassib Abdallah, Jean-Marie Marion, Mathieu Hatt, Mohamad Oueidat

Comput Methods Programs Biomed· February 2025

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 - a large-scale dataset of 3D medical shapes for computer vision.
Jianning Li, Zongwei Zhou, Jiancheng Yang, Antonio Pepe, Christina Gsaxner, Mathieu Hatt, Soumick Chatterjee

Biomed Tech (Berl)· February 2025

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Identification of CT radiomic features robust to acquisition and segmentation variations for improved prediction of radiotherapy-treated lung cancer patient recurrence.
Thomas Louis, François Lucia, François Cousin, Carole Mievis, Nicolas Jansen, Mathieu Hatt

Sci Rep· April 2024

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Multicentric development and evaluation of [F]FDG PET/CT and CT radiomic models to predict regional and/or distant recurrence in early-stage non-small cell lung cancer treated by stereotactic body radiation therapy.
François Lucia, Thomas Louis, François Cousin, Vincent Bourbonne, Dimitris Visvikis, Mathieu Hatt

Eur J Nucl Med Mol Imaging· March 2024

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The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights.
Philip Whybra, Alex Zwanenburg, Vincent Andrearczyk, Roger Schaer, Aditya P Apte, Mathieu Hatt

Radiology· February 2024

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PET/CT-Based Radiogenomics Supports KEAP1/NFE2L2 Pathway Targeting for Non-Small Cell Lung Cancer Treated with Curative Radiotherapy.
Vincent Bourbonne, Moncef Morjani, Olivier Pradier, Mathieu Hatt, Vincent Jaouen

J Nucl Med· February 2024

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Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge.
Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Olena Tankyevych, Mathieu Hatt

Med Image Anal· December 2023

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Enhancing histopathological image classification of invasive ductal carcinoma using hybrid harmonization techniques.
Nassib Abdallah, Jean-Marie Marion, Clovis Tauber, Thomas Carlier, Mathieu Hatt

Sci Rep· November 2023

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Multicentric development and evaluation of F-FDG PET/CT and MRI radiomics models to predict para-aortic lymph node involvement in locally advanced cervical cancer.
François Lucia, Vincent Bourbonne, Clémence Pleyers, Pierre-François Dupré, Omar Miranda, Mathieu Hatt

Eur J Nucl Med Mol Imaging· July 2023

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Radiomics prognostic analysis of PET/CT images in a multicenter head and neck cancer cohort: investigating ComBat strategies, sub-volume characterization, and automatic segmentation.
Hui Xu, Nassib Abdallah, Jean-Marie Marion, Pierre Chauvet, Clovis Tauber, Mathieu Hatt

Eur J Nucl Med Mol Imaging· May 2023

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"Fuzzy" radiomics: the way forward for nuclear medicine imaging applications?
Mathieu Hatt

Eur J Nucl Med Mol Imaging· May 2023

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Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT.
Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Mathieu Hatt

Head Neck Tumor Chall (2022)· March 2023

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Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem.
Babak Saboury, Tyler Bradshaw, Ronald Boellaard, Irène Buvat, Joyita Dutta, Mathieu Hatt

J Nucl Med· February 2023

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["Adaptation of the tumour and its ecosystem to radiotherapies: Mechanisms, imaging and therapeutic approaches" XIVth edition of the workshop organised by the "Vectorisation, Imagerie, Radiothérapies" network of the Cancéropôle Grand-Ouest, 22-25 September 2021, Le Bono, France].
Françoise Léost, Grégory Delpon, Emmanuel Garcion, Jean-François Gestin, Mathieu Hatt

Bull Cancer· October 2022

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Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines).
Abhinav K Jha, Tyler J Bradshaw, Irène Buvat, Mathieu Hatt, Prabhat Kc

J Nucl Med· September 2022

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Head and neck tumor segmentation in PET/CT: The HECKTOR challenge.
Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, Sarah Boughdad, Hesham Elhalawani, Mathieu Hatt

Med Image Anal· April 2022

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External Validation of a Radiomics Model for the Prediction of Complete Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer.
Anaïs Bordron, Emmanuel Rio, Bogdan Badic, Omar Miranda, Olivier Pradier, Mathieu Hatt

Cancers (Basel)· February 2022

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Prediction of recurrence after surgery in colorectal cancer patients using radiomics from diagnostic contrast-enhanced computed tomography: a two-center study.
Bogdan Badic, Ronrick Da-Ano, Karine Poirot, Vincent Jaouen, Benoit Magnin, Mathieu Hatt

Eur Radiol· January 2022

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The added value of PSMA PET/MR radiomics for prostate cancer staging.
Esteban Lucas Solari, Andrei Gafita, Sylvia Schachoff, Borjana Bogdanović, Alberto Villagrán Asiares, Mathieu Hatt

Eur J Nucl Med Mol Imaging· January 2022

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A transfer learning approach to facilitate ComBat-based harmonization of multicentre radiomic features in new datasets.
Ronrick Da-Ano, François Lucia, Ingrid Masson, Ronan Abgral, Joanne Alfieri, Mathieu Hatt

PLoS One· November 2021

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Development of a Radiomic-Based Model Predicting Lymph Node Involvement in Prostate Cancer Patients.
Vincent Bourbonne, Vincent Jaouen, Truong An Nguyen, Valentin Tissot, Laurent Doucet, Mathieu Hatt

Cancers (Basel)· November 2021

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Accurate Tumor Delineation Rough Volume of Interest Analysis for F-FDG PET/CT Radiomics-Based Prognostic Modeling inNon-Small Cell Lung Cancer.
Shima Sepehri, Olena Tankyevych, Andrei Iantsen, Dimitris Visvikis, Mathieu Hatt

Front Oncol· October 2021

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Radiomics Analysis of 3D Dose Distributions to Predict Toxicity of Radiotherapy for Cervical Cancer.
François Lucia, Vincent Bourbonne, Dimitris Visvikis, Omar Miranda, Dorothy M Gujral, Mathieu Hatt

J Pers Med· May 2021

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