Areas of Expertise
My research focuses on computer vision, machine learning applied to imaging, and pattern recognition, with a focus on applications in biomedical imaging and environmental analysis.
Description
My research focuses on areas of artificial intelligence and image analysis, with a particular interest in discriminative feature extraction and tailored augmentation of under-represented data, in order to design robust learning models for decision support.
This work is part of a cross-cutting approach dedicated to the analysis of complex and real-world visual data, with applications notably in medical image interpretation for diagnostic support, as well as in drone image analysis for the understanding and assessment of disaster situations.
In particular, since 2025 I have initiated and co-led the GT-I2MDP working group (Multimodal Image and AI for the Diagnosis of Pulmonary Diseases) within the GDR IASIS, dedicated to structuring a scientific community around the contribution of artificial intelligence and image analysis to decision support in the diagnosis of pulmonary diseases.
Publications
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3D Shape Retrieval Challenge SHREC 2021 in 14th Eurographics Workshop on 3D Object Retrieval 2021, 3DOR'21
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Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19 (2021) ArticleSignal & Image Processing : An International Journal
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MaskedFace-Net – A dataset of correctly/incorrectly masked face images in the context of COVID-19 (2021) ArticleSmart Health
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A generalized deep learning-based framework for assistance to the human malaria diagnosis from microscopic images (2021) ArticleNeural Computing and Applications
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Computers and Graphics