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Ahmed Afifi
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2020 – today
- 2024
- [j6]Mohammed Alarfaj, Azzam Al Madini, Ahmed Alsafran, Mohammed Farag, Slim Chtourou, Ahmed Afifi, Ayaz Ahmad, Osama Al Rubayyi, Ali Al Harbi, Mustafa Al Thunaian:
Wearable sensors based on artificial intelligence models for human activity recognition. Frontiers Artif. Intell. 7 (2024) - 2022
- [j5]Nagwa M. Aboelenein, Songhao Piao, Ahmed Afifi:
IRDNU-Net: Inception residual dense nested u-net for brain tumor segmentation. Multim. Tools Appl. 81(17): 24041-24057 (2022) - 2021
- [j4]Ahmed Afifi, Chisato Takada, Yuichiro Yoshimura, Toshiya Nakaguchi:
Real-Time Expanded Field-of-View for Minimally Invasive Surgery Using Multi-Camera Visual Simultaneous Localization and Mapping. Sensors 21(6): 2106 (2021) - [j3]Ahmed Afifi, Noor E. Hafsa, Mona A. S. Ali, Abdulaziz Alhumam, Safa Alsalman:
An Ensemble of Global and Local-Attention Based Convolutional Neural Networks for COVID-19 Diagnosis on Chest X-ray Images. Symmetry 13(1): 113 (2021) - 2020
- [j2]Nagwa M. Aboelenein, Songhao Piao, Anis Koubaa, Alam Noor, Ahmed Afifi:
HTTU-Net: Hybrid Two Track U-Net for Automatic Brain Tumor Segmentation. IEEE Access 8: 101406-101415 (2020) - [c10]Aya Mourad, Ahmed Afifi, Arabi E. Keshk:
Automated Brain Tumor Segmentation in MRI using Superpixel Over-segmentation and Classification. ACIT 2020: 1-8
2010 – 2019
- 2017
- [c9]Chisato Takada, Ahmed Afifi, Toshiyuki Suzuki, Toshiya Nakaguchi:
An enhanced hybrid tracking-mosaicking approach for surgical view expansion. EMBC 2017: 3692-3695 - 2016
- [c8]Chisato Takada, Toshiyuki Suzuki, Ahmed Afifi, Toshiya Nakaguchi:
Hybrid Tracking and Matching Algorithm for Mosaicking Multiple Surgical Views. CARE@MICCAI 2016: 24-35 - 2015
- [c7]Roqyiah M. Abdeen, Ahmed Afifi, Ashraf B. Elsisi:
Improved Arabic handwriting word segmentation approach using Random Forests. AICCSA 2015: 1-8 - [c6]Roqyiah M. Abdeen, Ahmed Afifi, Ashraf B. Elsisi:
An Enhanced Technique for Offline Arabic Handwritten Words Segmentation. CICLing (2) 2015: 663-681 - [c5]Ahmed Afifi, Toshiya Nakaguchi:
Unsupervised detection of liver lesions in CT images. EMBC 2015: 2411-2414 - 2012
- [c4]Ahmed Afifi, Toshiya Nakaguchi:
Liver Segmentation Approach Using Graph Cuts and Iteratively Estimated Shape and Intensity Constrains. MICCAI (2) 2012: 395-403 - 2011
- [c3]Ahmed Afifi, Toshiya Nakaguchi, Norimichi Tsumura:
A liver segmentation approach in contrast-enhanced CT images with patient-specific knowledge. Medical Imaging: Image Processing 2011: 796232 - 2010
- [j1]Ahmed Afifi, Toshiya Nakaguchi, Norimichi Tsumura, Yoichi Miyake:
A Model Optimization Approach to the Automatic Segmentation of Medical Images. IEICE Trans. Inf. Syst. 93-D(4): 882-890 (2010) - [c2]Ahmed Afifi, Toshiya Nakaguchi, Norimichi Tsumura:
Shape Prior Segmentation of Medical Images using Particle Swarm Optimization. ICAART (1) 2010: 291-297 - [c1]Ahmed Afifi, Toshiya Nakaguchi, Norimichi Tsumura:
Segmentation of deformable organs from medical images using particle swarm optimization and nonlinear shape priors. Medical Imaging: Image Processing 2010: 762349
Coauthor Index
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last updated on 2024-08-12 00:05 CEST by the dblp team
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