Wound size imaging: ready for smart assessment and monitoring Y Lucas, R Niri, S Treuillet, H Douzi, B Castaneda Advances in wound care 10 (11), 641-661, 2021 | 49 | 2021 |
Semantic segmentation of diabetic foot ulcer images: dealing with small dataset in DL approaches N Rania, H Douzi, L Yves, T Sylvie Image and Signal Processing: 9th International Conference, ICISP 2020 …, 2020 | 39 | 2020 |
A Superpixel-Wise Fully Convolutional Neural Network Approach for Diabetic Foot Ulcer Tissue Classification R Niri, H Douzi, Y Lucas, S Treuillet International Conference on Pattern Recognition, 308-320, 2021 | 17 | 2021 |
Multi-view data augmentation to improve wound segmentation on 3D surface model by deep learning R Niri, E Gutierrez, H Douzi, Y Lucas, S Treuillet, B Castañeda, ... IEEE Access 9, 157628-157638, 2021 | 16 | 2021 |
Smartphone-based thermal imaging system for diabetic foot ulcer assessment R Niri, Y Lucas, S Treuillet, H Douzi Journées d'Etude sur la TéléSanté, 2019 | 11 | 2019 |
Prevención y promoción de la salud de heridas mediante el uso ambulatorio de la termografía portátil. Estudio piloto E Gutiérrez, R Niri, B Castañeda, S Truillet, I Hernández-Patiño Cirugía Plástica Ibero-Latinoamericana 49 (4), 341-346, 2023 | | 2023 |
Deep Learning for Wound Image Analysis Applied to Diabetic Foot Ulcer Assessment N RANIA Ibn Zohr University, 2022 | | 2022 |
Wound Segmentation with U-Net Using a Dual Attention Mechanism and Transfer Learning R Niri, S Zahia, A Stefanelli, K Sharma, S Probst, S Pichon, G Chanel Available at SSRN 4661641, 0 | | |