Pierre-Antoine Ganaye
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View article: Benchmarking Self-supervised Learning Methods in Remote Sensing
Benchmarking Self-supervised Learning Methods in Remote Sensing Open
International audience
View article: Neural Architecture Search in operational context: a remote sensing case-study
Neural Architecture Search in operational context: a remote sensing case-study Open
Deep learning has become in recent years a cornerstone tool fueling key innovations in the industry, such as autonomous driving. To attain good performances, the neural network architecture used for a given application must be chosen with …
View article: Removing segmentation inconsistencies with semi-supervised non-adjacency constraint
Removing segmentation inconsistencies with semi-supervised non-adjacency constraint Open
The advent of deep learning has pushed medical image analysis to new levels, rapidly replacing more traditional machine learning and computer vision pipelines. However segmenting and labelling anatomical regions remains challenging owing t…
View article: Towards integrating spatial localization in convolutional neural networks for brain image segmentation
Towards integrating spatial localization in convolutional neural networks for brain image segmentation Open
Semantic segmentation is an established while rapidly evolving field in medical imaging. In this paper we focus on the segmentation of brain Magnetic Resonance Images (MRI) into cerebral structures using convolutional neural networks (CNN)…