A principal component analysis ensemble classifier for P300 speller applications. - Amr S. Elsawy; Seif Eldawlatly; Mohamed Taher; Gamal M. Aly (ISPA, 2013)

Performance analysis of a Principal Component Analysis ensemble classifier for Emotiv headset P300 spellers. - Amr S. Elsawy; Seif Eldawlatly; Mohamed Taher; Gamal M. Aly (EMBC, 2014)

Enhancement of mobile development of brain-computer platforms. - Amr S. Elsawy; Seif Eldawlatly; Mohamed Taher; Gamal M. Aly (ICECS, 2015)

P300-based applications for interacting with smart mobile devices. - Amr S. Elsawy; Seif Eldawlatly (NER, 2015)

MindEdit: A P300-based text editor for mobile devices. - Amr S. Elsawy; Seif Eldawlatly; Mohamed Taher; Gamal M. Aly (Comput. Biol. Medicine, 2017)

Segmentation of corneal optical coherence tomography images using randomized Hough transform. - Amr S. Elsawy; Mohamed Abdel-Mottaleb; Mohamed Abou Shousha (Image Processing, 2019)

Segmentation of corneal optical coherence tomography images using Graph Search and Radon transform. - Amr S. Elsawy; Mohamed Abdel-Mottaleb; Mohamed Abou Shousha (Image Processing, 2019)

A Novel Network With Parallel Resolution Encoders for the Diagnosis of Corneal Diseases. - Amr S. Elsawy; Mohamed Abdel-Mottaleb (IEEE Trans. Biomed. Eng., 2021)

Deep learning automated diagnosis and quantitative classification of cataract type and severity: quantifying the effectiveness and usability of deep learning-assisted disease diagnosis models with 14 ophthalmologists and multi-center validations. - Qingyu Chen 001; Tiarnan D. Keenan; Elvira Agrón; Amr S. Elsawy; Emily Y. Chew; Zhiyong Lu (AMIA, 2022)

PIPE-Net: A pyramidal-input-parallel-encoding network for the segmentation of corneal layer interfaces in OCT images. - Amr S. Elsawy; Mohamed Abdel-Mottaleb (Comput. Biol. Medicine, 2022)

Attention-based 3D convolutional networks for detection of geographic atrophy from optical coherence tomography scans. - Amr S. Elsawy; Tiarnan D. Kenan; Qingyu Chen 001; Xiaoshuang Shi; Emily Y. Chew; Zhiyong Lu (Image Processing, 2023)

Towards Accountable AI-Assisted Eye Disease Diagnosis: Workflow Design, External Validation, and Continual Learning. - Qingyu Chen 001; Tiarnan D. L. Keenan; Elvira Agrón; Alexis Allot; Emily Guan; Bryant Duong; Amr S. Elsawy; Benjamin Hou; Cancan Xue; Sanjeeb Bhandari; Geoff Broadhead; Chantal Cousineau-Krieger; et al. (CoRR, 2024)