147 citations · 235 across the 11 of their papers we have counts for
11 papers
CASR-Net: An Image Processing-focused Deep Learning-based Coronary Artery Segmentation and Refinement Network for X-ray Coronary Angiogram
Alvee Hassan, Rusab Sarmun, Muhammad E. H. Chowdhury +4
Early detection of coronary artery disease (CAD) is critical for reducing mortality and improving patient treatment planning. While angiographic image analysis from X-rays is a com…
A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion
Yalda Zafari, Roaa Elalfy, Mohamed Mabrok +3
Early and accurate interpretation of screening mammograms is essential for effective breast cancer detection, yet it remains a complex challenge due to subtle imaging findings and…
PDC-ViT : Source Camera Identification using Pixel Difference Convolution and Vision Transformer
Omar Elharrouss, Younes Akbari, Noor Almaadeed +3
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 tr…
Computational Methods for Breast Cancer Molecular Profiling through Routine Histopathology: A Review
Suchithra Kunhoth, Somaya Al- Maadeed, Younes Akbari +1
Precision medicine has become a central focus in breast cancer management, advancing beyond conventional methods to deliver more precise and individualized therapies. Traditionally…
Multimodal Ensemble with Conditional Feature Fusion for Dysgraphia Diagnosis in Children from Handwriting Samples
Jayakanth Kunhoth, Somaya Al-Maadeed, Moutaz Saleh +1
Developmental dysgraphia is a neurological disorder that hinders children's writing skills. In recent years, researchers have increasingly explored machine learning methods to supp…
Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability
Faseela Abdullakutty, Younes Akbari, Somaya Al-Maadeed +2
It is imperative that breast cancer is detected precisely and timely to improve patient outcomes. Diagnostic methodologies have traditionally relied on unimodal approaches; however…
Classification of Dysarthria based on the Levels of Severity. A Systematic Review
Afnan Al-Ali, Somaya Al-Maadeed, Moutaz Saleh +5
Dysarthria is a neurological speech disorder that can significantly impact affected individuals' communication abilities and overall quality of life. The accurate and objective cla…
A Novel Deep Learning Technique for Morphology Preserved Fetal ECG Extraction from Mother ECG using 1D-CycleGAN
Promit Basak, A. H. M Nazmus Sakib, Muhammad E. H. Chowdhury +6
Monitoring the electrical pulse of fetal heart through a non-invasive fetal electrocardiogram (fECG) can easily detect abnormalities in the developing heart to significantly reduce…
3D objects and scenes classification, recognition, segmentation, and reconstruction using 3D point cloud data: A review
Omar Elharrouss, Kawther Hassine, Ayman Zayyan +4
Three-dimensional (3D) point cloud analysis has become one of the attractive subjects in realistic imaging and machine visions due to its simplicity, flexibility and powerful capac…
Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization
Hamza Kheddar, Yassine Himeur, Somaya Al-Maadeed +2
Automatic speech recognition (ASR) has recently become an important challenge when using deep learning (DL). It requires large-scale training datasets and high computational and st…
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images
Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey +8
The use of computer-aided diagnosis in the reliable and fast detection of coronavirus disease (COVID-19) has become a necessity to prevent the spread of the virus during the pandem…