Hatem A. Rashwan
Orcid: 0000-0001-5421-1637
According to our database1,
Hatem A. Rashwan
authored at least 84 papers
between 2011 and 2024.
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Bibliography
2024
VISTA: vision improvement via split and reconstruct deep neural network for fundus image quality assessment.
Neural Comput. Appl., December, 2024
FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning.
Expert Syst. Appl., March, 2024
FGR-Net:Interpretable fundus imagegradeability classification based on deepreconstruction learning.
CoRR, 2024
Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings.
CoRR, 2024
Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024
Advanced Diabetic Retinopathy Classification: Integrating Pathological Indicators Segmentation and Morphological Feature Analysis.
Proceedings of the Ophthalmic Medical Image Analysis - 11th International Workshop, 2024
SynthRetina: Revolutionizing Fundus Image Analysis Through Synthetic Data Enhancement.
Proceedings of the Artificial Intelligence Research and Development, 2024
Proceedings of the Artificial Intelligence Research and Development, 2024
Proceedings of the Artificial Intelligence Research and Development, 2024
Proceedings of the Artificial Intelligence Research and Development, 2024
2023
Implicit regularization of a deep augmented neural network model for human motion prediction.
Appl. Intell., July, 2023
Sensors, March, 2023
GCNDepth: Self-supervised monocular depth estimation based on graph convolutional network.
Neurocomputing, 2023
Knowledge Distillation for Adaptive MRI Prostate Segmentation Based on Limit-Trained Multi-Teacher Models.
CoRR, 2023
T-YOLO: Tiny Vehicle Detection Based on YOLO and Multi-Scale Convolutional Neural Networks.
IEEE Access, 2023
Stacking Up for Success: A Cascade Network Model for Efficient Road Crack Segmentation.
Proceedings of the Artificial Intelligence Research and Development, 2023
2022
Efficient deep learning-based semantic mapping approach using monocular vision for resource-limited mobile robots.
Neural Comput. Appl., 2022
Monocular depth map estimation based on a multi-scale deep architecture and curvilinear saliency feature boosting.
Neural Comput. Appl., 2022
An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints.
Entropy, 2022
Predicting Personalized Quality of Life of an Intellectually Disabled Person Utilizing Machine Learning.
Proceedings of the Artificial Intelligence Research and Development, 2022
A Curated Dataset for Crack Image Analysis: Experimental Verification and Future Perspectives.
Proceedings of the Artificial Intelligence Research and Development, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Expert Syst. Appl., 2021
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network.
CoRR, 2021
CoRR, 2021
Proceedings of the Artificial Intelligence Research and Development, 2021
Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches.
Proceedings of the Artificial Intelligence Research and Development, 2021
Proceedings of the Artificial Intelligence Research and Development, 2021
Absolute Distance Prediction Based on Deep Learning Object Detection and Monocular Depth Estimation Models.
Proceedings of the Artificial Intelligence Research and Development, 2021
Efficient Fundus Image Gradeability Approach Based on Deep Reconstruction-Classification Network.
Proceedings of the Artificial Intelligence Research and Development, 2021
Proceedings of the Artificial Intelligence Research and Development, 2021
Promising Depth Map Prediction Method from a Single Image Based on Conditional Generative Adversarial Network.
Proceedings of the Artificial Intelligence Research and Development, 2021
2020
IEEE Trans. Circuits Syst. Video Technol., 2020
Action representation and recognition through temporal co-occurrence of flow fields and convolutional neural networks.
Multim. Tools Appl., 2020
Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network.
Expert Syst. Appl., 2020
Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework.
Expert Syst. Appl., 2020
Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, 2020
Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time.
Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, 2020
2019
IEEE Trans. Image Process., 2019
Mach. Vis. Appl., 2019
Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation.
CoRR, 2019
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning.
CoRR, 2019
MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network.
CoRR, 2019
Recognizing Food Places in Egocentric Photo-Streams Using Multi-Scale Atrous Convolutional Networks and Self-Attention Mechanism.
IEEE Access, 2019
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention.
IEEE Access, 2019
FinSeg: Finger Parts Semantic Segmentation using Multi-scale Feature Maps Aggregation of FCN.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019
Effective 2D/3D Registration using Curvilinear Saliency Features and Multi-Class SVM.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019
Proceedings of the Artificial Intelligence Research and Development, 2019
Proceedings of the Artificial Intelligence Research and Development, 2019
MGNet: Depth Map Prediction from a Single Photograph Using a Multi-Generative Network.
Proceedings of the Artificial Intelligence Research and Development, 2019
2018
Design and implementation of a secure and trustworthy platform for privacy-aware video surveillance.
Int. J. Inf. Sec., 2018
Automatic detection of individual and touching moths from trap images by combining contour-based and region-based segmentation.
IET Comput. Vis., 2018
Support Vector Machine (SVM) Recognition Approach adapted to Individual and Touching Moths Counting in Trap Images.
CoRR, 2018
Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks.
CoRR, 2018
REFUGE CHALLENGE 2018-Task 2: Deep Optic Disc and Cup Segmentation in Fundus Images Using U-Net and Multi-scale Feature Matching Networks.
CoRR, 2018
CoRR, 2018
CoRR, 2018
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification.
CoRR, 2018
Study of Obstacle Avoidance Strategies for Efficient Autonomous Navigation of Wheeled Robots in Unknown Environments.
Proceedings of the Advances in Physical Agents, 2018
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
BSCGAN: Deep Background Subtraction with Conditional Generative Adversarial Networks.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-Streams.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
Proceedings of the Artificial Intelligence Research and Development, 2018
Proceedings of the Artificial Intelligence Research and Development, 2018
On Improving Breast Density Segmentation Using Conditional Generative Adversarial Networks.
Proceedings of the Artificial Intelligence Research and Development, 2018
2017
Pattern Recognit. Lett., 2017
Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017
2016
Mach. Vis. Appl., 2016
Int. J. Inf. Sec., 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
2015
Proceedings of the Advanced Research in Data Privacy, 2015
Analysis of tissue abnormality and breast density in mammographic images using a uniform local directional pattern.
Expert Syst. Appl., 2015
2014
Robust analysis and protection of dynamic scenes for privacy-aware video surveillance.
PhD thesis, 2014
IEEE Trans. Circuits Syst. Video Technol., 2014
Privacy in Pervasive Video Surveillance - Trust through Technology and Users Cooperation.
Proceedings of the PECCS 2014, 2014
2013
IEEE Trans. Image Process., 2013
On improving the robustness of variational optical flow against illumination changes.
Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream, 2013
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013
Proceedings of the Pattern Recognition - 35th German Conference, 2013
2012
Comput. Vis. Image Underst., 2012
Proceedings of the Tenth Annual IEEE International Conference on Pervasive Computing and Communications, 2012
2011
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011