| Deep learning for lung cancer nodules detection and classification in CT scans D Riquelme, MA Akhloufi Ai 1 (1), 28-67, 2020 | 161 | 2020 |
| Computer vision for wildfire research: An evolving image dataset for processing and analysis T Toulouse, L Rossi, A Campana, T Celik, MA Akhloufi Fire Safety Journal 92, 188-194, 2017 | 161 | 2017 |
| Automatic fire pixel detection using image processing: a comparative analysis of rule-based and machine learning-based methods T Toulouse, L Rossi, T Celik, M Akhloufi Signal, Image and Video Processing 10, 647-654, 2016 | 130 | 2016 |
| Unmanned aerial vehicles for wildland fires: Sensing, perception, cooperation and assistance MA Akhloufi, A Couturier, NA Castro Drones 5 (1), 15, 2021 | 125 | 2021 |
| A review on absolute visual localization for UAV A Couturier, MA Akhloufi Robotics and Autonomous Systems 135, 103666, 2021 | 124 | 2021 |
| Drones chasing drones: Reinforcement learning and deep search area proposal MA Akhloufi, S Arola, A Bonnet Drones 3 (3), 58, 2019 | 84 | 2019 |
| Learning to drive by imitation: An overview of deep behavior cloning methods AO Ly, M Akhloufi IEEE Transactions on Intelligent Vehicles 6 (2), 195-209, 2020 | 83 | 2020 |
| On the use of stereovision to develop a novel instrumentation system to extract geometric fire characteristics L Rossi, M Akhloufi Proc. Of The Sixth Mediterranean Combustion Symposium, 50-57, 2009 | 80* | 2009 |
| Explainable diabetic retinopathy using EfficientNET M Chetoui, MA Akhloufi 2020 42nd annual international conference of the IEEE engineering in …, 2020 | 76 | 2020 |
| A review of deep learning techniques for 2D and 3D human pose estimation MB Gamra, MA Akhloufi Image and Vision Computing 114, 104282, 2021 | 74 | 2021 |
| Benchmarking of wildland fire colour segmentation algorithms T Toulouse, L Rossi, M Akhloufi, T Celik, X Maldague IET Image Processing 9 (12), 1064-1072, 2015 | 68 | 2015 |
| Wildfire segmentation using deep vision transformers R Ghali, MA Akhloufi, M Jmal, W Souidene Mseddi, R Attia Remote Sensing 13 (17), 3527, 2021 | 65 | 2021 |
| A New Color-Texture Approach for Industrial Products Inspection. MA Akhloufi, X Maldague, WB Larbi Journal of multimedia 3 (2), 2008 | 59 | 2008 |
| Locally adaptive texture features for multispectral face recognition MA Akhloufi, A Bendada Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on …, 2010 | 58 | 2010 |
| Wildland fires detection and segmentation using deep learning MA Akhloufi, RB Tokime, H Elassady Pattern recognition and tracking xxix 10649, 86-97, 2018 | 50 | 2018 |
| State of the art in Infrared face recognition M Akhloufi, A Bendada, JC Batsale Quantitative InfraRed Thermography Journal 5 (1), 3-26, 2008 | 48 | 2008 |
| Deep learning enhancement of infrared face images using generative adversarial networks AC Guei, M Akhloufi Applied optics 57 (18), D98-D107, 2018 | 47 | 2018 |
| Thermal Faceprint: A New Thermal Face Signature Extraction for Infrared Face Recognition. MA Akhloufi, A Bendada Computer and Robot Vision, 2008. CRV'08. Canadian Conference on, 269-272, 2008 | 46 | 2008 |
| Subsurface imaging for panel paintings inspection, passing through the ultraviolet, the visible, the infrared and the terahertz spectra A Bendada, S Sfarra, C Ibarra-Castanedo, M Akhloufi, JP Caumes, ... AITA 2013 - Advanced Infrared Technology and Applications, Turin – Italy, 2013 | 45* | 2013 |
| Explainable end-to-end deep learning for diabetic retinopathy detection across multiple datasets M Chetoui, MA Akhloufi Journal of Medical Imaging 7 (4), 044503-044503, 2020 | 43 | 2020 |
Lucile RossiProfesseure, UMR Université de Corse - CNRS在 univ-corse.fr 的电子邮件经过验证
