79 citations · 136 across the 6 of their papers we have counts for
6 papers
CDAN: Convolutional dense attention-guided network for low-light image enhancement
Hossein Shakibania, Sina Raoufi, Hassan Khotanlou
Low-light images, characterized by inadequate illumination, pose challenges of diminished clarity, muted colors, and reduced details. Low-light image enhancement, an essential task…
Dual Branch Deep Learning Network for Detection and Stage Grading of Diabetic Retinopathy
Hossein Shakibania, Sina Raoufi, Behnam Pourafkham +2
Diabetic retinopathy is a severe complication of diabetes that can lead to permanent blindness if not treated promptly. Early and accurate diagnosis of the disease is essential for…
An Empirical Study on Detecting COVID-19 in Chest X-ray Images Using Deep Learning Based Methods
Ramtin Babaeipour, Elham Azizi, Hassan Khotanlou
Spreading of COVID-19 virus has increased the efforts to provide testing kits. Not only the preparation of these kits had been hard, rare, and expensive but also using them is anot…
An Efficient Approach for Using Expectation Maximization Algorithm in Capsule Networks
Moein Hasani, Amin Nasim Saravi, Hassan Khotanlou
Capsule Networks (CapsNets) are brand-new architectures that have shown ground-breaking results in certain areas of Computer Vision (CV). In 2017, Hinton and his team introduced Ca…
An Empirical Study on Position of the Batch Normalization Layer in Convolutional Neural Networks
Moein Hasani, Hassan Khotanlou
In this paper, we have studied how the training of the convolutional neural networks (CNNs) can be affected by changing the position of the batch normalization (BN) layer. Three di…
An Objective Evaluation Metric for image fusion based on Del Operator
Ali A. Kiaei, Hassan Khotanlou, Mahdi Abbasi +2
In this paper, a novel objective evaluation metric for image fusion is presented. Remarkable and attractive points of the proposed metric are that it has no parameter, the result i…