| Anomaly classification in digital mammography based on multiple‐instance learning A Elmoufidi, K El Fahssi, S Jai‐andaloussi, A Sekkaki, Q Gwenole, ... IET Image Processing 12 (3), 320-328, 2018 | 44 | 2018 |
| Hemorrhage semantic segmentation in fundus images for the diagnosis of diabetic retinopathy by using a convolutional neural network A Skouta, A Elmoufidi, S Jai-Andaloussi, O Ouchetto Journal of Big Data 9 (1), 78, 2022 | 37 | 2022 |
| Detection of regions of interest's in mammograms by using local binary pattern, dynamic k-means algorithm and gray level co-occurrence matrix A Elmoufidi, K El Fahssi, S Jai-Andaloussi, N Madrane, A Sekkaki 2014 International Conference on Next Generation Networks and Services (NGNS …, 2014 | 35 | 2014 |
| Automatically density based breast segmentation for mammograms by using dynamic K-means algorithm and seed based region growing A Elmoufidi, K El Fahssi, S Jai-Andaloussi, A Sekkaki 2015 IEEE International Instrumentation and Measurement Technology …, 2015 | 30 | 2015 |
| Deep multiple instance learning for automatic breast cancer assessment using digital mammography A Elmoufidi IEEE transactions on instrumentation and measurement 71, 1-13, 2022 | 24 | 2022 |
| CNN with multiple inputs for automatic glaucoma assessment using fundus images A Elmoufidi, A Skouta, S Jai-Andaloussi, O Ouchetto International Journal of Image and Graphics 23 (01), 2350012, 2023 | 21 | 2023 |
| Automated binary classification of diabetic retinopathy by convolutional neural networks A Skouta, A Elmoufidi, S Jai-Andaloussi, O Ochetto Advances on Smart and Soft Computing: Proceedings of ICACIn 2020, 177-187, 2021 | 19 | 2021 |
| Detection of regions of interest in mammograms by using local binary pattern and dynamic K-means algorithm A Elmoufidi, K El Fahssi, S Jai-Andaloussi, A Sekkaki International Journal of Image and Video Processing: Theory and Application …, 2014 | 17 | 2014 |
| Deep learning for diabetic retinopathy assessments: a literature review A Skouta, A Elmoufidi, S Jai-Andaloussi, O Ouchetto Multimedia Tools and Applications 82 (27), 41701-41766, 2023 | 9 | 2023 |
| Applied CNN for automatic diabetic retinopathy assessment using fundus images A El Hossi, A Skouta, A Elmoufidi, M Nachaoui International conference on business intelligence, 425-433, 2021 | 9 | 2021 |
| Pre-processing algorithms on digital x-ray mammograms A Elmoufidi 2019 IEEE International Smart Cities Conference (ISC2), 87-92, 2019 | 9 | 2019 |
| Automatic detection of suspicious lesions in digital X-ray mammograms A Elmoufidi, K El Fahssi, S Jai-Andaloussi, A Sekkaki, G Quellec, ... Advances in Ubiquitous Networking 2: Proceedings of the UNet’16 2, 375-385, 2017 | 9 | 2017 |
| Diabetic retinopathy prevention using efficientNetB3 architecture and fundus photography A Elmoufidi, H Ammoun SN Computer Science 4 (1), 78, 2022 | 8 | 2022 |
| Automatic diagnosing of suspicious lesions in digital mammograms A Elmoufidi, K El Fahssi, S Jai-andaloussi, A Sekkaki, G Quellec, ... International Journal of Advanced Computer Science and Applications 7 (5), 2016 | 7 | 2016 |
| Deep multiple instance learning for automatic glaucoma prevention and auto-annotation using color fundus photography A Elmoufidi, A Skouta, S Jai-Andaloussi, O Ouchetto Progress in Artificial Intelligence 11 (4), 397-409, 2022 | 6 | 2022 |
| Method and algorithm for mass segmentation in mammograms based on the minimisation of energy and active contour model K El Fahssi, A Abenaou, S Jai-Andaloussi, A Sekkaki 2014 8th International Symposium on Medical Information and Communication …, 2014 | 6 | 2014 |
| An improved hybrid defuzzification method for fuzzy controllers M Nachaoui, A Nachaoui, RY Shikhlinskaya, A Elmoufidi Statistics, Optimization & Information Computing 11 (1), 29-43, 2023 | 4 | 2023 |
| Semantic Segmentation of Retinal Blood Vessels from Fundus Images by using CNN and the Random Forest Algorithm. A Skouta, A Elmoufidi, S Jai-Andaloussi, O Ouchetto SENSORNETS, 163-170, 2022 | 4 | 2022 |
| Benign or malignant lesion classification in mammography images using the adaptive orthogonal transformation and the coefficients of the correlation matrix K El Fahssi, A Elmoufidi, A Abenaou, S Jai-Andaloussi, A Sekkaki Recent Advances in Electrical Engineering, 76-80, 2015 | 4 | 2015 |
| Evaluate dynamic kmeans algorithm for automatically segmented different breast regions in mammogram based on density by using seed region growing technique A Elmoufidi, K El Fahssi, S JAI ANDALOUSSI, A SEKKAKI Journal of Theoretical and Applied Information Technology, 2015 | 4 | 2015 |
Said JAI ANDALOUSSILIS Laboratory Faculty of Sciences Ain-Chock, Hassan II University of CasablancaVerified email at etude.univcasa.ma
