Zobrazeno 1 - 10
of 186
pro vyhledávání: '"Fatemizadeh, Emad"'
Autor:
Moradi, Nikoo, Ferreira, André, Puladi, Behrus, Kleesiek, Jens, Fatemizadeh, Emad, Luijten, Gijs, Alves, Victor, Egger, Jan
Radiation therapy (RT) is essential in treating head and neck cancer (HNC), with magnetic resonance imaging(MRI)-guided RT offering superior soft tissue contrast and functional imaging. However, manual tumor segmentation is time-consuming and complex
Externí odkaz:
http://arxiv.org/abs/2411.14752
Blind Image Quality Assessment (BIQA) aims to develop methods that estimate the quality scores of images in the absence of a reference image. In this paper, we approach BIQA from a distortion identification perspective, where our primary goal is to p
Externí odkaz:
http://arxiv.org/abs/2409.06853
Autor:
Afshar, Pardis, Hashembeiki, Sajjad, Khani, Pouya, Fatemizadeh, Emad, Rohban, Mohammad Hossein
Histopathological image analysis is crucial for accurate cancer diagnosis and treatment planning. While deep learning models, especially convolutional neural networks, have advanced this field, their "black-box" nature raises concerns about interpret
Externí odkaz:
http://arxiv.org/abs/2408.16395
Autor:
Ahmadnejad, Amirreza, Darviishani, Ahmad Mahmmodian, Asadi, Mohmmad Mehrdad, Saffariyeh, Sajjad, Yousef, Pedram, Fatemizadeh, Emad
In this paper, we introduce the Temporal Audio Source Counting Network (TaCNet), an innovative architecture that addresses limitations in audio source counting tasks. TaCNet operates directly on raw audio inputs, eliminating complex preprocessing ste
Externí odkaz:
http://arxiv.org/abs/2311.02369
Automated medical image segmentation is an essential task to aid/speed up diagnosis and treatment procedures in clinical practices. Deep convolutional neural networks have exhibited promising performance in accurate and automatic seminal segmentation
Externí odkaz:
http://arxiv.org/abs/2203.03336
Publikováno v:
2015 9th Iranian Conference on Machine Vision and Image Processing (MVIP), Tehran, 2015, pp. 57-60
Point base registration is an important part in many machine VISIOn applications, medical diagnostics, agricultural studies etc. The goal of point set registration is to find correspondences between different data sets and estimate the appropriate tr
Externí odkaz:
http://arxiv.org/abs/2006.12582
Autor:
Hase, Hannes, Azampour, Mohammad Farid, Tirindelli, Maria, Paschali, Magdalini, Simson, Walter, Fatemizadeh, Emad, Navab, Nassir
In this paper we introduce the first reinforcement learning (RL) based robotic navigation method which utilizes ultrasound (US) images as an input. Our approach combines state-of-the-art RL techniques, specifically deep Q-networks (DQN) with memory b
Externí odkaz:
http://arxiv.org/abs/2003.13321
Publikováno v:
In Neurocomputing 21 January 2023 518:1-14
Spatially-varying intensity noise is a common source of distortion in medical images. Bias field noise is one example of such a distortion that is often present in the magnetic resonance (MR) images or other modalities such as retina images. In this
Externí odkaz:
http://arxiv.org/abs/1711.04247
Publikováno v:
In Computer Methods and Programs in Biomedicine April 2021 201