Ahmed Bouridane
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View article: An Explainable Framework for Mental Health Monitoring Using Lightweight and Privacy-Preserving Federated Facial Emotion Recognition
An Explainable Framework for Mental Health Monitoring Using Lightweight and Privacy-Preserving Federated Facial Emotion Recognition Open
The continuous analysis of emotional cues through facial emotion recognition (FER) systems can support mental health evaluation and psychological well-being monitoring systems. Most FER systems face privacy and trust concerns due to their …
View article: A novel virtual patient approach for cross-patient multimodal fusion in enhanced breast cancer detection
A novel virtual patient approach for cross-patient multimodal fusion in enhanced breast cancer detection Open
Multimodal medical imaging combining conventional imaging modalities such as mammography, ultrasound, and histopathology has shown significant promise for improving breast cancer detection accuracy. However, clinical implementation faces s…
View article: DIPLI: Deep Image Prior Lucky Imaging for BlindAstronomical Image Restoration
DIPLI: Deep Image Prior Lucky Imaging for BlindAstronomical Image Restoration Open
Modern image restoration and super-resolution methods utilize deep learning due to its superior performance compared to traditional algorithms. However, deep learning typically requires large training datasets, which are rarely available i…
View article: Dynamic model scaling based on segmented tumor size for breast cancer detection
Dynamic model scaling based on segmented tumor size for breast cancer detection Open
View article: Efficient feature points detector for full and partial palmprint recognition
Efficient feature points detector for full and partial palmprint recognition Open
View article: A man–vehicle e-passport system using biometric blockchain for automated border control
A man–vehicle e-passport system using biometric blockchain for automated border control Open
Since the mid-1990s, the evolution of internet technologies has significantly transformed global connectivity and digital interaction. Today, advances in computing and networking continue to support the development of emerging paradigms su…
View article: On adversarial attack detection in the artificial intelligence era: Fundamentals, a taxonomy, and a review
On adversarial attack detection in the artificial intelligence era: Fundamentals, a taxonomy, and a review Open
View article: Breast cancer detection based on histological images using fusion of diffusion model outputs
Breast cancer detection based on histological images using fusion of diffusion model outputs Open
View article: Boundary-Aware Vision Transformer for Angiography Vascular Network Segmentation
Boundary-Aware Vision Transformer for Angiography Vascular Network Segmentation Open
Accurate segmentation of vascular structures in coronary angiography remains a core challenge in medical image analysis due to the complexity of elongated, thin, and low-contrast vessels. Classical convolutional neural networks (CNNs) ofte…
View article: Red Team Cryptanalysis of Lattice-Based Post-Quantum Cryptography Using Transformers
Red Team Cryptanalysis of Lattice-Based Post-Quantum Cryptography Using Transformers Open
View article: Enhancing the Prediction of Breast Cancer Progression Through Multi-modal Data Transformation
Enhancing the Prediction of Breast Cancer Progression Through Multi-modal Data Transformation Open
The ability to predict breast cancer metastases is essential for making effective clinical decisions and managing patients. Traditional models predominantly rely on structured clinical data, which often lacks essential contextual details, …
View article: DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration
DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration Open
Modern image restoration and super-resolution methods utilize deep learning due to its superior performance compared to traditional algorithms. However, deep learning typically requires large training datasets, which are rarely available i…
View article: PDC-ViT: source camera identification using pixel difference convolution and vision transformer
PDC-ViT: source camera identification using pixel difference convolution and vision transformer Open
View article: PDC-ViT : Source Camera Identification using Pixel Difference Convolution and Vision Transformer
PDC-ViT : Source Camera Identification using Pixel Difference Convolution and Vision Transformer Open
Source camera identification has emerged as a vital solution to unlock incidents involving critical cases like terrorism, violence, and other criminal activities. The ability to trace the origin of an image/video can aid law enforcement ag…
View article: Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification
Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification Open
Traditional machine learning assumes that training and test sets are derived from the same distribution; however, this assumption does not always hold in practical applications. This distribution disparity can lead to severe performance dr…
View article: Attention-Enhanced Mixture of Experts for Multimodal Breast Cancer Detection
Attention-Enhanced Mixture of Experts for Multimodal Breast Cancer Detection Open
View article: MSEUnet: Refined Intima-media segmentation of the carotid artery based on a multi-scale approach using patch-wise dice loss
MSEUnet: Refined Intima-media segmentation of the carotid artery based on a multi-scale approach using patch-wise dice loss Open
Carotid artery stenosis risk stratification is one of the most sought-after methods for diagnosing the chances of stroke. There is an inherent requirement to identify the risk before its onset through techniques such as ultrasound imaging.…
View article: Histopathology in focus: a review on explainable multi-modal approaches for breast cancer diagnosis
Histopathology in focus: a review on explainable multi-modal approaches for breast cancer diagnosis Open
Precision and timeliness in breast cancer detection are paramount for improving patient outcomes. Traditional diagnostic methods have predominantly relied on unimodal approaches, but recent advancements in medical data analytics have enabl…
View article: Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability
Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability Open
It is imperative that breast cancer is detected precisely and timely to improve patient outcomes. Diagnostic methodologies have traditionally relied on unimodal approaches; however, medical data analytics is integrating diverse data source…
View article: Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosis
Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosis Open
View article: Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer
Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer Open
In multiple-instance learning (MIL), the existing bag encoding and attention-based pooling approaches assume that the instances in the bag have no relationship among them. This assumption is unsuited, as the instances in the bags are rarel…
View article: Efficient Feature Points Detector for Full and Partial Palmprint Recognition
Efficient Feature Points Detector for Full and Partial Palmprint Recognition Open
View article: Efficient Feature Points Detector for Full and Partial Palmprint Recognition
Efficient Feature Points Detector for Full and Partial Palmprint Recognition Open
View article: FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures
FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures Open
Retinal vascular segmentation, a widely researched topic in biomedical image processing, aims to reduce the workload of ophthalmologists in treating and detecting retinal disorders. Segmenting retinal vessels presents unique challenges; pr…
View article: Ultrasound-Based Image Analysis for Predicting Carotid Artery Stenosis Risk: A Comprehensive Review of the Problem, Techniques, Datasets, and Future Directions
Ultrasound-Based Image Analysis for Predicting Carotid Artery Stenosis Risk: A Comprehensive Review of the Problem, Techniques, Datasets, and Future Directions Open
The carotid artery is a major blood vessel that supplies blood to the brain. Plaque buildup in the arteries can lead to cardiovascular diseases such as atherosclerosis, stroke, ruptured arteries, and even death. Both invasive and non-invas…
View article: Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques
Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques Open
The electroencephalography (EEG) signal is a noninvasive and complex signal that has numerous applications in biomedical fields, including sleep and the brain–computer interface. Given its complexity, researchers have proposed several adva…
View article: A novel potential field model for perimeter and agent density control in multiagent swarms
A novel potential field model for perimeter and agent density control in multiagent swarms Open
parameters for the computation of control vectors. This restriction often limits the structures that can evolve, since agents are unable to modify their behaviour based on their structural role. This paper proposes an enhanced model that u…
View article: Ultrasound Intima-Media Complex (IMC) Segmentation Using Deep Learning Models
Ultrasound Intima-Media Complex (IMC) Segmentation Using Deep Learning Models Open
Common carotid intima-media thickness (CIMT) is a common measure of atherosclerosis, often assessed through carotid ultrasound images. However, the use of deep learning methods for medical image analysis, segmentation and CIMT measurement …
View article: Video steganography: recent advances and challenges
Video steganography: recent advances and challenges Open
Video steganography approach enables hiding chunks of secret information inside video sequences. The features of video sequences including high capacity as well as complex structure make them more preferable for choosing as cover media ove…
View article: Artificial Intelligence-Based Malware Detection, Analysis, and Mitigation
Artificial Intelligence-Based Malware Detection, Analysis, and Mitigation Open
Malware, a lethal weapon of cyber attackers, is becoming increasingly sophisticated, with rapid deployment and self-propagation. In addition, modern malware is one of the most devastating forms of cybercrime, as it can avoid detection, mak…