| Abnormal behavior recognition for intelligent video surveillance systems: A review AB Mabrouk, E Zagrouba Expert Systems with Applications 91, 480-491, 2018 | 367 | 2018 |
| Multimodal medical image fusion review: Theoretical background and recent advances H Hermessi, O Mourali, E Zagrouba Signal Processing 183, 108036, 2021 | 197 | 2021 |
| Breast cancer diagnosis in digitized mammograms using curvelet moments S Dhahbi, W Barhoumi, E Zagrouba Computers in biology and medicine 64, 79-90, 2015 | 140 | 2015 |
| Convolutional neural network-based multimodal image fusion via similarity learning in the shearlet domain H Hermessi, O Mourali, E Zagrouba Neural Computing and Applications 30 (7), 2029-2045, 2018 | 105 | 2018 |
| A prelimary approach for the automated recognition of malignant melanoma E Zagrouba, W Barhoumi Image Analysis and Stereology 23 (2), 121-135, 2004 | 98 | 2004 |
| Pl@ ntnet mobile app H Goëau, P Bonnet, A Joly, V Bakić, J Barbe, I Yahiaoui, S Selmi, J Carré, ... Proceedings of the 21st ACM international conference on Multimedia, 423-424, 2013 | 93 | 2013 |
| An image-based segmentation recommender using crowdsourcing and transfer learning for skin lesion extraction A Soudani, W Barhoumi Expert Systems with Applications 118, 400-410, 2019 | 82 | 2019 |
| Spatio-temporal feature using optical flow based distribution for violence detection AB Mabrouk, E Zagrouba Pattern Recognition Letters 92, 62-67, 2017 | 77 | 2017 |
| Deep feature learning for soft tissue sarcoma classification in MR images via transfer learning H Hermessi, O Mourali, E Zagrouba Expert Systems with Applications 120, 116-127, 2019 | 74 | 2019 |
| An efficient image-mosaicing method based on multifeature matching E Zagrouba, W Barhoumi, S Amri Machine Vision and Applications 20 (3), 139-162, 2009 | 67 | 2009 |
| Semi-automated segmentation of single and multiple tumors in liver CT images using entropy-based fuzzy region growing A Baâzaoui, W Barhoumi, A Ahmed, E Zagrouba IRBM 38 (2), 98-108, 2017 | 65 | 2017 |
| Non‐subsampled shearlet transform based MRI and PET brain image fusion using simplified pulse coupled neural network and weight local features in YIQ colour space H Ouerghi, O Mourali, E Zagrouba IET Image Processing 12 (10), 1873-1880, 2018 | 57 | 2018 |
| An accelerated system for melanoma diagnosis based on subset feature selection E Zagrouba, W Barhoumi Journal of Computing and Information Technology 13 (1), 69-82, 2005 | 42 | 2005 |
| Flower image segmentation based on color analysis and a supervised evaluation A Najjar, E Zagrouba International conférence ICCIT, 2012 | 38 | 2012 |
| A robust framework for joint background/foreground segmentation of complex video scenes filmed with freely moving camera S Amri, W Barhoumi, E Zagrouba Multimedia Tools and Applications 46 (2), 175-205, 2010 | 38 | 2010 |
| Key frame extraction for video summarization using local description and repeatability graph clustering H Gharbi, S Bahroun, E Zagrouba Signal, Image and Video Processing 13, 507-515, 2019 | 37 | 2019 |
| Novel methods of image description and ensemble of classifiers in application to mammogram analysis B Swiderski, S Osowski, J Kurek, M Kruk, I Lugowska, P Rutkowski, ... Expert Systems with Applications 81, 67-78, 2017 | 37 | 2017 |
| Key frames extraction using graph modularity clustering for efficient video summarization H Gharbi, S Bahroun, M Massaoudi, E Zagrouba 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 33 | 2017 |
| Dense 3D SLAM in dynamic scenes using Kinect MC Bakkay, M Arafa, E Zagrouba Pattern Recognition and Image Analysis: 7th Iberian Conference, IbPRIA 2015 …, 2015 | 33 | 2015 |
| ADVANCED TREE SPECIES IDENTIFICATION USING MULTIPLE LEAF PARTS IMAGE QUERIES O Mzoughi, I Yahiaoui, N Boujemaa, E Zagrouba ICIP 2013, 3967-3971, 2013 | 33 | 2013 |
Walid BarhoumiSIIVA-LIMTIC, Tunisia在 enicarthage.rnu.tn 的电子邮件经过验证
