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Mathieu Hatt

Director of research

INSERM

France

Research Interests

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Professors in France Professors in Medical Imaging Medical Imaging professors in France

Articles (19)

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2026

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2023

Collaborators (24)

Hesham Elhalawani

Director of Pediatric/AYA in Radiation Oncology

Brigham and Women's Hospital

UNITED STATES

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Gian Marco Melito

Graz University of Technology (90000)

AUSTRIA

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Zongwei Zhou

Johns Hopkins University

UNITED STATES

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Jiancheng Yang

Assistant Professor

Aalto University

FINLAND

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Diego Angeles Valdez

University Medical Center Groningen

NETHERLANDS

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Pedro Fragoso Costa

Chief Medical Physicist

University Hospital Essen

GERMANY

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Roy Eagleson

Professor

University of Western Ontario

CANADA

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Federico Bolelli

Tenure-Track Assistant Professor (RTT)

University of Modena and Reggio Emilia

ITALY

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Susann Beier

Senior Lecturer

University of New South Wales

AUSTRALIA

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Ronald Boellaard

Head imaging methodology

VU medisch centrum

NETHERLANDS

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Claudia Krebs

The University of British Columbia

CANADA

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Hamza MEKHZOUM

Vrije Universiteit Brussel

BELGIUM

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Patrick Langenhuizen

Assistant Professor

Eindhoven University of Technology

NETHERLANDS

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Jef Vandemeulebroucke

Prof. at Vrije Universiteit Brussel (VUB)

Vrije Universiteit Brussel (VUB)

BELGIUM

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John Sunderland

Professor

Iowa State University

UNITED STATES

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Emiliano Spezi

Professor

Khalifa University

UNITED ARAB EMIRATES

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Aya Hage Chehade

Institut de Cancérologie de l'Ouest

FRANCE

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Martin Urschler

Associate Professor

Medical University of Graz

AUSTRIA

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Mario Jreige

Lausanne University Hospital (CHUV)

SWITZERLAND

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Stefan Cornelissen

Eindhoven University of Technology

NETHERLANDS

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Vincent Andrearczyk

Senior researcher

University of Applied Sciences and Arts Western Switzerland (HES-SO)

SWITZERLAND

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Gary Cook

King’s College London

UNITED KINGDOM

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Jun Ma

Scientist

University Health Network

CANADA

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Behrus Hinrichs-Puladi

Specialist in Oral and Maxillofacial Surgery

University Hospital RWTH Aachen

GERMANY

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Mathieu Hatt

Research Interests

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Articles (19)

Comparison of Machine Learning Pipelines for Prediction of Rectal Bleeding after Prostate Cancer Radiotherapy

Dosimetric Feasibility of Dose-Painting Radiation Therapy for Targeting Hypoxia in Prostate Cancer on a Novel Ring Gantry Radiation Therapy System

Reconstruction-based approach for chest X-ray image segmentation and enhanced multi-label chest disease classification

Advancing chest X-ray diagnostics: A novel CycleGAN-based preprocessing approach for enhanced lung disease classification in ChestX-Ray14

Impact of regularization in optimizing distance-encoding biomorphic-informational neural networks for small nuclear medicine datasets

Auto-Segmentation via deep-learning approaches for the assessment of flap volume after reconstructive surgery or radiotherapy in head and neck cancer

The Image Biomarker Standardization Initiative

&lt;i&gt;MedShapeNet&lt;/i&gt; - a large-scale dataset of 3D medical shapes for computer vision.

A Systematic Review: Classification of Lung Diseases from Chest X-Ray Images Using Deep Learning Algorithms

Identification of CT radiomic features robust to acquisition and segmentation variations for improved prediction of radiotherapy-treated lung cancer patient recurrence

Multicentric development and evaluation of [<SUP>18</SUP>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

Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem

Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge

Joint EANM/SNMMI guideline on radiomics in nuclear medicine

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

Enhancing histopathological image classification of invasive ductal carcinoma using hybrid harmonization techniques

Multicentric development and evaluation of <SUP>18</SUP>F-FDG PET/CT and MRI radiomics models to predict para-aortic lymph node involvement in locally advanced cervical cancer

Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT

Radiomics prognostic analysis of PET/CT images in a multicenter head and neck cancer cohort: investigating ComBat strategies, sub-volume characterization, and automatic segmentation

Collaborators (24)

Hesham Elhalawani

Gian Marco Melito

Zongwei Zhou

Jiancheng Yang

Diego Angeles Valdez

Pedro Fragoso Costa

Roy Eagleson

Federico Bolelli

Susann Beier

Ronald Boellaard

Claudia Krebs

Hamza MEKHZOUM

Patrick Langenhuizen

Jef Vandemeulebroucke

John Sunderland

Emiliano Spezi

Aya Hage Chehade

Martin Urschler

Mario Jreige

Stefan Cornelissen

Vincent Andrearczyk

Gary Cook

Jun Ma

Behrus Hinrichs-Puladi

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<i>MedShapeNet</i> - a large-scale dataset of 3D medical shapes for computer vision.