| 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 | 47 | 2018 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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, SJAI ANDALOUSSI, A SEKKAKI Journal of Theoretical & Applied Information Technology 72 (2), 2015 | 4 | 2015 |
| Feature extraction of the lesion in mammogram images using segmentation by minimizing the energy and orthogonal transformation adaptive AS Khalid El Fahssi1, Abdelali Elmoufidi1, Abdenbi Abenaou2,Said Jai-Andaloussi1 WSEAS TRANSACTIONS on BIOLOGY and BIOMEDICINE 11 (E-ISSN: 2224-2902), 88-95, 2014 | 4 | 2014 |
| Novel Approach to Classification of Abnormalities in the Mammogram Image AS Khalid El Fahssi, Abdelali Elmoufidi, Abdenbi Abenaou, Said Jai-Andaloussi international journal of biology and biomedical engineering 10, Pages: 72-79, 2016 | 3 | 2016 |
| Mass segmentation in mammograms using energy minimization and proposed a method for classification and detection the lesion K El Fahssi, A Abenaou, S Jai-andalouss, A Sekkaki Computers, automatic control, signal processing and systems science, 2014 | 3 | 2014 |
| Automatic Diagnosis and Classification of Abnormalities in Digital X-ray Mammograms A Elmoufid, K El Fahssi, S Jai-andaloussi, A Sekkaki, G Quellec, ... WSEAS Transactions on Biology and Biomedicine 13, 1-8, 2016 | | 2016 |
