| A deep learning method for classifying mammographic breast density categories AA Mohamed, WA Berg, H Peng, Y Luo, RC Jankowitz, S Wu Medical physics 45 (1), 314-321, 2018 | 297 | 2018 |
| Deep learning to distinguish recalled but benign mammography images in breast cancer screening SS Aboutalib, AA Mohamed, WA Berg, ML Zuley, JH Sumkin, S Wu Clinical Cancer Research 24 (23), 5902-5909, 2018 | 144 | 2018 |
| Deep learning modeling using normal mammograms for predicting breast cancer risk D Arefan, AA Mohamed, WA Berg, ML Zuley, JH Sumkin, S Wu Medical physics 47 (1), 110-118, 2020 | 122 | 2020 |
| Understanding clinical mammographic breast density assessment: a deep learning perspective AA Mohamed, Y Luo, H Peng, RC Jankowitz, S Wu Journal of digital imaging 31, 387-392, 2018 | 74 | 2018 |
| Inaccurate labels in weakly-supervised deep learning: Automatic identification and correction and their impact on classification performance D Hao, L Zhang, J Sumkin, A Mohamed, S Wu IEEE journal of biomedical and health informatics 24 (9), 2701-2710, 2020 | 65 | 2020 |
| Automated deep learning method for whole‐breast segmentation in diffusion‐weighted breast MRI L Zhang, AA Mohamed, R Chai, Y Guo, B Zheng, S Wu Journal of Magnetic Resonance Imaging 51 (2), 635-643, 2020 | 64 | 2020 |
| Deep learning pre-training strategy for mammogram image classification: an evaluation study K Clancy, S Aboutalib, A Mohamed, J Sumkin, S Wu Journal of Digital Imaging 33, 1257-1265, 2020 | 22 | 2020 |
| Novel Image-Based 3D Reconstruction of the Human Jaw using Shape from Shading and Feature Descriptors. AS Abdelrahim, M Abdelrahman, HE Abdelmunim, AA Farag, M Miller BMVC, 1-11, 2011 | 17 | 2011 |
| 2D-PCA shape models: Application to 3D reconstruction of the human teeth from a single image AS Abdelrehim, AA Farag, AM Shalaby, MT El-Melegy Medical Computer Vision. Large Data in Medical Imaging: Third International …, 2014 | 16 | 2014 |
| Realistic 3d reconstruction of the human teeth using shape from shading with shape priors AS Abdelrahim, MT El-Melegy, AA Farag 2012 IEEE Computer Society Conference on Computer Vision and Pattern …, 2012 | 15 | 2012 |
| Can we boost the power of the Viola–Jones face detector using preprocessing? An empirical study M Afifi, M Nasser, M Korashy, K Rohde, AA Mohamed Journal of Electronic Imaging 27 (4), 043020-043020, 2018 | 12 | 2018 |
| Image retrieval based on content and image compression AS Abdelrahim, MA Abdelrahman, A Mahmoud, AA Farag 2011 International Conference on Multimedia Technology, 6696-6703, 2011 | 12 | 2011 |
| Model-based human teeth shape recovery from a single optical image with unknown illumination A Farag, S Elhabian, A Abdelrehim, W Aboelmaaty, A Farman, D Tasman Medical Computer Vision. Recognition Techniques and Applications in Medical …, 2013 | 11 | 2013 |
| Deep learning of sub-regional breast parenchyma in mammograms for localized breast cancer risk prediction G Nebbia, A Mohamed, R Chai, B Zheng, M Zuley, S Wu Medical Imaging 2019: Computer-Aided Diagnosis 10950, 693-698, 2019 | 8 | 2019 |
| Deep learning for identifying breast cancer malignancy and false recalls: a robustness study on training strategy K Clancy, L Zhang, A Mohamed, S Aboutalib, W Berg, S Wu Medical Imaging 2019: Computer-Aided Diagnosis 10950, 20-25, 2019 | 8 | 2019 |
| Statistical morphable model for human teeth restoration E Mostafa, S Elhabian, A Abdelrahim, S Elshazly, A Farag 2014 IEEE International Conference on Image Processing (ICIP), 4285-4288, 2014 | 8 | 2014 |
| A 3D reconstruction of the human jaw from a single image A Abdelrahim, A Shalaby, S Elhabian, J Graham, A Farag 2013 IEEE International Conference on Image Processing, 3622-3626, 2013 | 7 | 2013 |
| Deep learning modeling using health screening images A Mohamed, MVS de Cea, D Richmond US Patent 11,734,819, 2023 | 6 | 2023 |
| Novel variational approach for the perspective shape from shading problem using calibrated images A Abdelrahim, H Abdelmunim, J Graham, A Farag 2013 IEEE International Conference on Image Processing, 2562-2566, 2013 | 5 | 2013 |
| Do pre-trained deep learning models improve computer-aided classification of digital mammograms? SS Aboutalib, AA Mohamed, ML Zuley, WA Berg, Y Luo, S Wu Medical Imaging 2018: Computer-Aided Diagnosis 10575, 460-465, 2018 | 3 | 2018 |