Élodie Puybareau
École Pour l'Informatique et les Techniques Avancées(FR)
Publications by Year
Research Areas
Advanced Neural Network Applications, Brain Tumor Detection and Classification, Medical Image Segmentation Techniques, Cardiac Imaging and Diagnostics, Radiomics and Machine Learning in Medical Imaging
Most-Cited Works
- → A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging(2020)456 cited
- → VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images(2021)333 cited
- → Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge(2019)291 cited
- → Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge(2019)193 cited
- → PAIP 2019: Liver cancer segmentation challenge(2020)111 cited
- → MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images(2023)53 cited
- → QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results(2022)47 cited
- → Segmentation of Gliomas and Prediction of Patient Overall Survival: A Simple and Fast Procedure(2019)39 cited
- → Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021(2023)28 cited
- → Real-Time Document Detection in Smartphone Videos(2018)24 cited