Abdelrahman M. Shaker

Orcid: 0000-0001-7651-4057

According to our database1, Abdelrahman M. Shaker authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
UNETR++: Delving Into Efficient and Accurate 3D Medical Image Segmentation.
IEEE Trans. Medical Imaging, September, 2024

GroupMamba: Parameter-Efficient and Accurate Group Visual State Space Model.
CoRR, 2024

Efficient Video Object Segmentation via Modulated Cross-Attention Memory.
CoRR, 2024

PALO: A Polyglot Large Multimodal Model for 5B People.
CoRR, 2024

Learnable weight initialization for volumetric medical image segmentation.
Artif. Intell. Medicine, 2024

GLaMM: Pixel Grounding Large Multimodal Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

XrayGPT: Chest Radiographs Summarization using Large Medical Vision-Language Models.
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2023
XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models.
CoRR, 2023

SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Arabic Mini-ClimateGPT : A Climate Change and Sustainability Tailored Arabic LLM.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2020
Generalization of Convolutional Neural Networks for ECG Classification Using Generative Adversarial Networks.
IEEE Access, 2020

Deep Convolutional Neural Networks for ECG Heartbeat Classification Using Two-Stage Hierarchical Method.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2020

Combination of Convolutional and Recurrent Neural Networks for Heartbeat Classification.
Proceedings of the International Conference on Artificial Intelligence and Computer Vision, 2020

2019
Heartbeat Classification Using 1D Convolutional Neural Networks.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019, 2019


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