Maëlys Solal

10
Documents
Identifiants chercheurs

Publications

Publications

Image document

Unsupervised anomaly detection in brain FDG PET with deep generative models: An experimental analysis of model variability and mitigation strategies

Maëlys Solal , Pascaline André , Ninon Burgos
SPIE Medical Imaging 2026, Feb 2026, Vancouver, Canada
Communication dans un congrès hal-05340039 v1
Image document

Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET

Maëlys Solal , Ravi Hassanaly , Ninon Burgos
SPIE Medical Imaging, Feb 2024, San Diego (California), United States. ⟨10.1117/12.2691683⟩
Communication dans un congrès hal-04291561 v2
Image document

Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Evangelia Christodoulou , Annika Reinke , Rola Houhou , Piotr Kalinowski , Selen Erkan et al.
MICCAI 2024 - 27th International Conference on Medical Image Computing and Computer-Assisted Intervention, Oct 2024, Marrakech, Morocco. pp.124-132, ⟨10.1007/978-3-031-72117-5_12⟩
Communication dans un congrès hal-04715638 v1
Image document

Evaluation of pseudo-healthy reconstruction for anomaly detection in brain FDG PET

Ravi Hassanaly , Camille Brianceau , Maëlys Solal , Olivier Colliot , Ninon Burgos
Medical Imaging with Deep Learning, Jul 2024, Paris, France
Communication dans un congrès hal-05444841 v1
Image document

Exploitation de la variabilité de la population contrôle pour la détection d'anomalies non supervisée par apprentissage profond en imagerie cérébrale FDG PET

Maëlys Solal , Ravi Hassanaly , Ninon Burgos
IABM 2024 - Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale, Mar 2024, Grenoble, France
Communication dans un congrès hal-05443392 v1
Image document

Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET

Maëlys Solal , Ravi Hassanaly , Ninon Burgos
CURE-ND (Catalyzing a United Response in Europe to Neurodegenerative Diseases) Early Career Researchers Workshop, Mar 2024, Bonn, Germany
Poster de conférence hal-05443417 v1