Nonmetric calibration of camera lens distortion: differential methods and robust estimation M Ahmed, A Farag IEEE Transactions on image processing 14 (8), 1215-1230, 2005 | 208 | 2005 |
Direct method for shape recovery from polarization and shading AH Mahmoud, MT El-Melegy, AA Farag 2012 19th IEEE International Conference on Image Processing, 1769-1772, 2012 | 115 | 2012 |
Tumor segmentation in brain MRI using a fuzzy approach with class center priors MT El-Melegy, HM Mokhtar EURASIP Journal on Image and Video Processing 2014, 1-14, 2014 | 108 | 2014 |
Neurocalibration: a neural network that can tell camera calibration parameters MT Ahmed, ESE Hemayed, AA Farag Proceedings of the Seventh IEEE International Conference on Computer Vision …, 1999 | 93 | 1999 |
3D kidney segmentation from abdominal diffusion MRI using an appearance-guided deformable boundary M Shehata, A Mahmoud, A Soliman, F Khalifa, M Ghazal, M Abou El-Ghar, ... PloS one 13 (7), e0200082, 2018 | 74 | 2018 |
Development of a micro-gripper using piezoelectric bimorphs AM El-Sayed, A Abo-Ismail, MT El-Melegy, NA Hamzaid, NA Abu Osman Sensors 13 (5), 5826-5840, 2013 | 72 | 2013 |
Nonmetric lens distortion calibration: Closed-form solutions, robust estimation and model selection Farag Proceedings Ninth IEEE International Conference on Computer Vision, 554-559 …, 2003 | 72 | 2003 |
Robust training of artificial feedforward neural networks MT El-Melegy, MH Essai, AA Ali Foundations of Computational, Intelligence Volume 1: Learning and …, 2009 | 64 | 2009 |
A new CNN-based system for early diagnosis of prostate cancer I Reda, BO Ayinde, M Elmogy, A Shalaby, M El-Melegy, M Abou El-Ghar, ... 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 62 | 2018 |
Role of AI and histopathological images in detecting prostate cancer: a survey SM Ayyad, M Shehata, A Shalaby, M Abou El-Ghar, M Ghazal, ... Sensors 21 (8), 2586, 2021 | 49 | 2021 |
SHREC’14 track: Retrieval and classification on textured 3D models S Biasotti, A Cerri, M Abdelrahman, M Aono, AB Hamza, M El-Melegy, ... Proceedings of the Eurographics workshop on 3d object retrieval, 111-120, 2014 | 43 | 2014 |
Non-metric calibration of camera lens distortion M Ahmed, A Farag Proceedings 2001 International Conference on Image Processing (Cat. No …, 2001 | 40 | 2001 |
Early assessment of lung function in coronavirus patients using invariant markers from chest X-rays images M Elsharkawy, A Sharafeldeen, F Taher, A Shalaby, A Soliman, ... Scientific reports 11 (1), 12095, 2021 | 38 | 2021 |
A new local fractional entropy-based model for kidney MRI image enhancement AR Al-Shamasneh, HA Jalab, S Palaiahnakote, UH Obaidellah, ... Entropy 20 (5), 344, 2018 | 38 | 2018 |
On cluster validity indexes in fuzzy and hard clustering algorithms for image segmentation M El-Melegy, EA Zanaty, WM Abd-Elhafiez, A Farag 2007 IEEE International Conference on Image Processing 6, VI-5-VI-8, 2007 | 38 | 2007 |
Differential methods for nonmetric calibration of camera lens distortion MT Ahmed, AA Farag Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001 | 33 | 2001 |
A neural approach to zoom-lens camera calibration from data with outliers M Ahmed, A Farag Image and Vision Computing 20 (9-10), 619-630, 2002 | 32 | 2002 |
Ensemble of multiple classifiers for automatic multimodal brain tumor segmentation MT El-Melegy, KMA El-Magd, SA Ali, KF Hussain, YB Mahdy 2019 international conference on innovative trends in computer engineering …, 2019 | 31* | 2019 |
Identification of tuberculosis bacilli in ZN-stained sputum smear images: a deep learning approach M El-Melegy, D Mohamed, T ElMelegy, M Abdelrahman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 31 | 2019 |
Automatic detection of tuberculosis bacilli from microscopic sputum smear images using faster r-cnn, transfer learning and augmentation M El-Melegy, D Mohamed, T ElMelegy Pattern Recognition and Image Analysis: 9th Iberian Conference, IbPRIA 2019 …, 2019 | 29 | 2019 |