Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Khotanlou, Hassan"'
Low-light images, characterized by inadequate illumination, pose challenges of diminished clarity, muted colors, and reduced details. Low-light image enhancement, an essential task in computer vision, aims to rectify these issues by improving brightn
Externí odkaz:
http://arxiv.org/abs/2308.12902
Autor:
Shakibania, Hossein, Raoufi, Sina, Pourafkham, Behnam, Khotanlou, Hassan, Mansoorizadeh, Muharram
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 successful treatment. This paper introduces a deep learning method fo
Externí odkaz:
http://arxiv.org/abs/2308.09945
Autor:
Yazdi, Reza, Khotanlou, Hassan
Publikováno v:
In Biomedical Signal Processing and Control September 2024 95 Part B
Publikováno v:
In Digital Signal Processing January 2025 156 Part A
Autor:
Shakibania, Hossein, Raoufi, Sina, Pourafkham, Behnam, Khotanlou, Hassan, Mansoorizadeh, Muharram
Publikováno v:
In Biomedical Signal Processing and Control July 2024 93
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 another issue. Results have shown that these kits take some crucial time t
Externí odkaz:
http://arxiv.org/abs/2010.04936
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 CapsNets with routing-by-agreement in "Sabour et al" and in a more recen
Externí odkaz:
http://arxiv.org/abs/1912.05333
Autor:
Hasani, Moein, Khotanlou, Hassan
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 different convolutional neural networks have been chosen for our experim
Externí odkaz:
http://arxiv.org/abs/1912.04259
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 is probability in the range of [0, 1] and it is free from illumination
Externí odkaz:
http://arxiv.org/abs/1905.07709
Publikováno v:
In Journal of the World Federation of Orthodontists April 2023 12(2):56-63