François Bénard
Orcid: 0000-0001-7995-3581
According to our database1,
François Bénard
authored at least 7 papers
between 2016 and 2024.
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Bibliography
2024
How to Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-angle Maximum Intensity Projections and Diffusion Models.
Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024
2023
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss.
Comput. Biol. Medicine, May, 2023
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images.
CoRR, 2023
State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
2018
Segmentation-free direct tumor volume and metabolic activity estimation from PET scans.
Comput. Medical Imaging Graph., 2018
2017
Spatial resolution properties of digital autoradiography systems for pre-clinical alpha particle imaging (Conference Presentation).
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
2016
Tumor Lesion Segmentation from 3D PET Using a Machine Learning Driven Active Surface.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016