Mathieu Hatt
Brest, France
Last Updated: 09/26/2026
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Found 118 publications
Development and external validation of a FDG PET-based radiomics model predicting occult lymph node metastasis in non-small cell lung cancer patients.
Journal: European journal of nuclear medicine and molecular imaging
Published: November 03, 2025
Auto-Segmentation via deep-learning approaches for the assessment of flap volume after reconstructive surgery or radiotherapy in head and neck cancer.
Journal: Scientific reports
Published: January 13, 2025
Reconstruction-based approach for chest X-ray image segmentation and enhanced multi-label chest disease classification.
Journal: Artificial intelligence in medicine
Published: August 28, 2024
MedShapeNet - a large-scale dataset of 3D medical shapes for computer vision.
Journal: Biomedizinische Technik. Biomedical engineering
Published: August 22, 2024
Advancing chest X-ray diagnostics: A novel CycleGAN-based preprocessing approach for enhanced lung disease classification in ChestX-Ray14.
Journal: Computer methods and programs in biomedicine
Published: April 21, 2024
The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights.
Journal: Radiology
Published: February 06, 2024
Identification of CT radiomic features robust to acquisition and segmentation variations for improved prediction of radiotherapy-treated lung cancer patient recurrence.
Journal: Scientific reports
Published: December 05, 2023
PET/CT-Based Radiogenomics Supports KEAP1/NFE2L2 Pathway Targeting for Non-Small Cell Lung Cancer Treated with Curative Radiotherapy.
Journal: Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Published: September 25, 2023
Multicentric development and evaluation of [18F]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.
Journal: European journal of nuclear medicine and molecular imaging
Published: August 29, 2023
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT.
Journal: Head and neck tumor segmentation and outcome prediction : third challenge, HECKTOR 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Head and Neck Tumor Segmentation Challenge (3rd : 2022 : Singapor...
Published: May 17, 2023
Last Updated: 09/26/2026