5 papers
Fine-Tuning Cycle-GAN for Domain Adaptation of MRI Images
Mohd Usama, Belal Ahmad, Faleh Menawer R Althiyabi
Magnetic Resonance Imaging (MRI) scans acquired from different scanners or institutions often suffer from domain shifts owing to variations in hardware, protocols, and acquisition…
Domain Adaptation of Carotid Ultrasound Images using Generative Adversarial Network
Mohd Usama, Belal Ahmad, Christer Gronlund +1
Deep learning has been extensively used in medical imaging applications, assuming that the test and training datasets belong to the same probability distribution. However, a common…
A Domain Adaptation Model for Carotid Ultrasound: Image Harmonization, Noise Reduction, and Impact on Cardiovascular Risk Markers
Mohd Usama, Emma Nyman, Ulf Naslund +1
Deep learning has been used extensively for medical image analysis applications, assuming the training and test data adhere to the same probability distributions. However, a common…
DACB-Net: Dual Attention Guided Compact Bilinear Convolution Neural Network for Skin Disease Classification
Belal Ahmad, Mohd Usama, Tanvir Ahmad +3
This paper introduces the three-branch Dual Attention-Guided Compact Bilinear CNN (DACB-Net) by focusing on learning from disease-specific regions to enhance accuracy and alignment…
Bilinear-Convolutional Neural Network Using a Matrix Similarity-based Joint Loss Function for Skin Disease Classification
Belal Ahmad, Mohd Usama, Tanvir Ahmad +3
In this study, we proposed a model for skin disease classification using a Bilinear Convolutional Neural Network (BCNN) with a Constrained Triplet Network (CTN). BCNN can capture r…