no code implementations • 13 Apr 2024 • Maedeh Jamali, Nader Karimi, Shadrokh Samavi, Shahram Shirani
By utilizing our model in this manner, quality improvements up to 2 dB and bitrate savings of up to 46% of the original target bitrate are possible.
no code implementations • 17 Mar 2024 • Mahdie Ahmadi, Nader Karimi, Shadrokh Samavi
This combined approach offers a promising solution for accurate breast cancer diagnosis, paving the way for faster and more accessible screening procedures.
no code implementations • 23 Dec 2023 • Farzaneh Koohestani, Nader Karimi, Shadrokh Samavi
In digital imaging, enhancing visual content in poorly lit environments is a significant challenge, as images often suffer from inadequate brightness, hidden details, and an overall reduction in quality.
no code implementations • 8 Dec 2023 • Zahra Nabizadeh Shahre-Babak, Nader Karimi, Krishna Rapaka, Tarek Amara, Shadrokh Samavi, Shahram Shirani
One solution is to predict each preset's transcoding time and select the preset that ensures the highest quality while adhering to live streaming time constraints.
no code implementations • 12 Jun 2023 • MohammadHossein Givkashi, Mohammadreza Naderi, Nader Karimi, Shahram Shirani, Shadrokh Samavi
In our approach, a mask is generated to show the desired size and location of the object.
no code implementations • 18 Mar 2023 • Anahita Banaei, Shadrokh Samavi, Ebrahim Nasr Esfahani
In this paper, we offer a new architecture for the lossless compression of microarray images.
no code implementations • 12 Mar 2023 • Zahra Sobhaninia, Nasrin Abharian, Nader Karimi, Shahram Shirani, Shadrokh Samavi
Endoscopy is a valuable tool for the early diagnosis of colon cancer.
no code implementations • 17 Feb 2023 • Altanai Bisht, Ana Carolina de Souza Mendes, Justin David Thoreson II, Shadrokh Samavi
In this paper, we propose a pipeline for real-time video denoising with low runtime cost and high perceptual quality.
1 code implementation • 9 Jan 2023 • Mohammadreza Naderi, MohammadHossein Givkashi, Nader Karimi, Shahram Shirani, Shadrokh Samavi
None of the powerful existing models can fill out the missing parts of an image while considering the symmetry and homogeneity of the picture.
no code implementations • 25 Dec 2022 • Arezoo PariZanganeh, Ghazaleh Ghorbanzadeh, Zahra Nabizadeh ShahreBabak, Nader Karimi, Shadrokh Samavi
Increasing the robustness would lessen the imperceptibility of the watermarking.
1 code implementation • 19 Dec 2022 • Mohammadreza Naderi, MohammadHossein Givkashi, Fatemeh Piri, Nader Karimi, Shadrokh Samavi
Recently, many attempts have been made to construct a transformer base U-shaped architecture, and new methods have been proposed that outperformed CNN-based rivals.
1 code implementation • 15 Nov 2022 • Mohammadreza Naderi, Nader Karimi, Ali Emami, Shahram Shirani, Shadrokh Samavi
Helping the cGAN learn the target distribution from noise input results in a better model generalization during the test time and allows the model to fit almost perfectly to the target domain distribution.
1 code implementation • 11 Sep 2022 • Mohammad Reza Naderi, Mohammad Hossein Givkashi, Nader Karimi, Shahram Shirani, Shadrokh Samavi
The PSO algorithm uses aesthetic quality assessment as its objective function to identify the best location and size for the objects to be placed in the background.
no code implementations • 16 May 2022 • Altanai Bisht, Arielle Wilson, Zachary Jeffreys, Shadrokh Samavi
Cryptocurrencies are gaining more popularity due to their security, making counterfeits impossible.
no code implementations • 9 Apr 2022 • S. M. Reza Soroushmehr, Shadrokh Samavi, Shahram Shirani
This search area is similar to that of the full search (FS) algorithm but smaller for most blocks of a frame.
no code implementations • 21 Feb 2022 • Ghazaleh Ghorbanzadeh, Zahra Nabizadeh, Nader Karimi, Pejman Khadivi, Ali Emami, Shadrokh Samavi
The proposed method accelerates the convergence of the genetic algorithm and increases the system's performance.
no code implementations • 28 Dec 2021 • Zahra Sobhaninia, Nader Karimi, Pejman Khadivi, Shadrokh Samavi
Brain tumor analysis in MRI images is a significant and challenging issue because misdiagnosis can lead to death.
1 code implementation • 17 Dec 2021 • Mohammad H. Givkashi, Mahshid Hadipour, Arezoo PariZanganeh, Zahra Nabizadeh, Nader Karimi, Shadrokh Samavi
We improved the final results by replacing the damaged pixels with the recovered pixels of the output images.
no code implementations • 7 Dec 2021 • Mahdi Arab Loodaricheh, Nader Karimi, Shadrokh Samavi
Recently, deep learning has been used for nuclei segmentation.
no code implementations • 12 Sep 2021 • Mohammadreza Naderi, Zahra Nabizadeh, Nader Karimi, Shahram Shirani, Shadrokh Samavi
In this work, we propose a method called MSGDD-cGAN, which first stabilizes the performance of the cGANs using multi-connections gradients flow.
Conditional Image Generation Generative Adversarial Network +1
no code implementations • 19 Aug 2021 • Parham Yazdekhasty, Ali Zindari, Zahra Nabizadeh-ShahreBabak, Pejman Khadivi, Nader Karimi, Shadrokh Samavi
Hence, infected patients can get better service from the healthcare system and decrease the number of deaths caused by the coronavirus.
no code implementations • 16 Jun 2021 • Eric J. Nunn, Pejman Khadivi, Shadrokh Samavi
Our proposed method integrates three levels of feature abstractions to evaluate the quality of generated images.
no code implementations • 24 May 2021 • Maedeh Jamali, Nader Karim, Pejman Khadivi, Shahram Shirani, Shadrokh Samavi
In this paper, we propose to use an end-to-end network for watermarking.
no code implementations • 21 Jan 2021 • Maedeh Jamali, Nader Karimi, Shadrokh Samavi
One of the problems of conventional visual quality evaluation criteria such as PSNR and MSE is the lack of appropriate standards based on the human visual system (HVS).
no code implementations • 1 Nov 2020 • Zahra Sobhaninia, Nader Karimi, Pejman Khadivi, Roshank Roshandel, Shadrokh Samavi
For brain tumor classification in this work, we offer a system based on deep learning, containing encoder blocks.
no code implementations • 1 Nov 2020 • Parham Yazdekhasty, Ali Zindar, Zahra Nabizadeh-ShahreBabak, Roshank Roshandel, Pejman Khadivi, Nader Karimi, Shadrokh Samavi
We propose a bifurcated 2-D model for two types of segmentation.
no code implementations • 1 Sep 2020 • Sajjad Abbasi, Mohsen Hajabdollahi, Pejman Khadivi, Nader Karimi, Roshanak Roshandel, Shahram Shirani, Shadrokh Samavi
Knowledge distillation addresses some of the shortcomings associated with transfer learning by generalizing a complex model to a lighter model.
no code implementations • 24 Jul 2020 • Ghazale Ghorbanzade, Zahra Nabizadeh-ShahreBabak, Shadrokh Samavi, Nader Karimi, Ali Emami, Pejman Khadivi
Reduction of the number of channels could reduce the complexity of brain-computer-interface devices.
no code implementations • 27 Mar 2020 • Kamran Chitsaz, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi, Shahram Shirani
In this paper, a new method for CNN processing in the FFT domain is proposed, which is based on input splitting.
no code implementations • 26 Feb 2020 • Fateme Mostafaie, Reihaneh Teimouri, Zahra Nabizadeh, Nader Karimi, Shadrokh Samavi
Glioma is a common type of brain tumor, and accurate detection of it plays a vital role in the diagnosis and treatment process.
no code implementations • 9 Feb 2020 • Morteza Mousa-Pasandi, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi, Shahram Shirani
In the proposed attenuation approach, weak filters are not abruptly removed, and there is a chance for these filters to return to the network.
no code implementations • 9 Feb 2020 • Sajjad Abbasi, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi, Shahram Shirani
Knowledge distillation is recently proposed to transfer the knowledge of a model to another one and can be useful to cover the shortcomings of transfer learning.
no code implementations • 9 Feb 2020 • Emad Malekhosseini, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi, Shahram Shirani
For convolutional neural networks (CNNs) that have a large volume of input data, memory management becomes a major concern.
no code implementations • 5 Feb 2020 • Zahra Sobhaninia, Safiyeh Rezaei, Nader Karimi, Ali Emami, Shadrokh Samavi
Intracranial tumors are groups of cells that usually grow uncontrollably.
no code implementations • 13 Jan 2020 • Morteza Mousa Pasandi, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi
In this paper pruning methods are investigated, and a general model which is contained the majority of pruning techniques is proposed.
no code implementations • 10 Jan 2020 • Ghazale Ghorbanzade, Zahra Nabizadeh, Nader Karimi, Shadrokh Samavi
The first step of this method is to determine how many scales we need to use, which depends on the width of the lines in the map of the missing region.
no code implementations • 9 Jan 2020 • Mahnoosh Bagheri, Majid Mohrekesh, Nader Karimi, Shadrokh Samavi
Digital image watermarking has been widely used in different applications such as copyright protection of digital media, such as audio, image, and video files.
no code implementations • 31 Dec 2019 • Sajjad Abbasi, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi
By utilizing the proposed model, different methods in KD are better investigated and explored.
no code implementations • 31 Dec 2019 • Emad Malekhosseini, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi
There are many research works on the designing of architectures for the deep neural networks (DNN), which are named neural architecture search (NAS) methods.
no code implementations • 31 Dec 2019 • Mahdi Ahmadi, Nader Karimi, Shadrokh Samavi
Image retargeting is a new image processing task that renders the change of aspect ratio in images.
no code implementations • 27 Dec 2019 • Reihaneh Teymoori, Zahra Nabizadeh, Nader Karimi, Shadrokh Samavi
We also compare different approaches and analyze each of the four abstraction blocks' importance in each method's operation.
no code implementations • 27 Dec 2019 • Fateme Mostafaie, Zahra Nabizadeh, Nader Karimi, Shadrokh Samavi
Saliency detection is one of the most challenging problems in image analysis and computer vision.
no code implementations • 20 Dec 2019 • Maedeh Jamali, Nader Karimi, Shadrokh Samavi
We use the HSV color model as a spatial feature and LBP-TOP for temporal processing of fire texture.
no code implementations • 3 Nov 2019 • Zahra Sobhaninia, Ali Emami, Nader Karimi, Shadrokh Samavi
One of the routine examinations that are used for prenatal care in many countries is ultrasound imaging.
no code implementations • 3 Nov 2019 • Zahra Nabizadeh, Ghazale Ghorbanzade, Nader Karimi, Shadrokh Samavi
If the pixel is located on an edge, then we use the predicted value in that direction.
no code implementations • 3 Nov 2019 • Safiye Rezaei, Ali Emami, Nader Karimi, Shadrokh Samavi
Histology method is vital in the diagnosis and prognosis of cancers and many other diseases.
no code implementations • 2 Nov 2019 • Maedeh Jamali, Mahnoosh Bagheri, Nader Karimi, Shadrokh Samavi
In this research work, we have used color space conversion and frequency transform to achieve high robustness and transparency.
no code implementations • 17 Oct 2019 • Mahdi Ahmadi, Nader Karimi, Shadrokh Samavi
In this paper, we introduce the proposed methods in both saliency detection and retargeting.
no code implementations • 31 Aug 2019 • Safiyeh Rezaei, Ali Emami, Hamidreza Zarrabi, Shima Rafiei, Kayvan Najarian, Nader Karimi, Shadrokh Samavi, S. M. Reza Soroushmehr
Histopathology images contain essential information for medical diagnosis and prognosis of cancerous disease.
no code implementations • 31 Aug 2019 • Zahra Sobhaninia, Shima Rafiei, Ali Emami, Nader Karimi, Kayvan Najarian, Shadrokh Samavi, S. M. Reza Soroushmehr
Ultrasound imaging is a standard examination during pregnancy that can be used for measuring specific biometric parameters towards prenatal diagnosis and estimating gestational age.
no code implementations • 1 May 2019 • Shadrokh Samavi, Pejman Khadivi
In this paper, a neural routing method is introduced which is named as Fault Avoidance Routing (FAR).
1 code implementation • 16 Oct 2018 • Mahdi Ahmadi, Alireza Norouzi, S. M. Reza Soroushmehr, Nader Karimi, Kayvan Najarian, Shadrokh Samavi, Ali Emami
Due to the rapid growth of machine learning tools and specifically deep networks in various computer vision and image processing areas, application of Convolutional Neural Networks for watermarking have recently emerged.
no code implementations • 22 Sep 2018 • Milad Tehrani, Mahnoosh Bagheri, Mahdi Ahmadi, Alireza Norouzi, Nader Karimi, Shadrokh Samavi
In this paper, we utilize an instance segmentation neural network to obtain a class mask for separately filtering the background and foreground of an image.
no code implementations • 20 Sep 2018 • Zahra Sobhaninia, Safiyeh Rezaei, Alireza Noroozi, Mehdi Ahmadi, Hamidreza Zarrabi, Nader Karimi, Ali Emami, Shadrokh Samavi
The effect of using separate networks for segmentation of MR images is evaluated by comparing the results with a single network.
no code implementations • 16 Sep 2018 • Mohsen Hajabdollahi, Reza Esfandiarpoor, Elyas Sabeti, Nader Karimi, Kayvan Najarian, S. M. Reza Soroushmehr, Shadrokh Samavi
In recent years portable medical imaging devices such as capsule endoscopy and digital dermatoscope have been introduced and made the diagnosis procedure easier and more efficient.
no code implementations • 23 Aug 2018 • Mohsen Hajabdollahi, Reza Esfandiarpoor, Pejman Khadivi, S. M. Reza Soroushmehr, Nader Karimi, Kayvan Najarian, Shadrokh Samavi
Both CNN and MLP structures are simplified to reduce the number of computational operations.
no code implementations • 23 Feb 2018 • Alireza Norouzi, Ali Emami, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian
Deep neural networks have shown great achievements in solving complex problems.
no code implementations • 23 Feb 2018 • Mojtaba Akbari, Majid Mohrekesh, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian
In the detection phase, we employ both HSV and RGB color space information for segmentation of specular reflections.
no code implementations • 21 Feb 2018 • Mahdi Ahmadi, Ali Emami, Mohsen Hajabdollahi, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian
By increasing the volume of telemedicine information, the need for medical image compression has become more important.
no code implementations • 21 Feb 2018 • Shima Rafiei, Ebrahim Nasr-Esfahani, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian
The need for CT scan analysis is growing for pre-diagnosis and therapy of abdominal organs.
no code implementations • 21 Feb 2018 • Shima Rafiei, Nader Karimi, Behzad Mirmahboub, S. M. Reza Soroushmehr, Banafsheh Felfelian, Shadrokh Samavi, Kayvan Najarian
In this paper, we propose an adaptive 3D region growing with subject-specific conditions.
no code implementations • 21 Feb 2018 • Mohsen Hajabdollahi, Reza Esfandiarpoor, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian
Wireless capsule endoscopy (WCE) is an effective means of diagnosis of gastrointestinal disorders.
no code implementations • 21 Feb 2018 • Atefe Rajaeefar, Ali Emami, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian
Recent advances in capsule endoscopy systems have introduced new methods and capabilities.
no code implementations • 21 Feb 2018 • Mina Nasr-Esfahani, Majid Mohrekesh, Mojtaba Akbari, S. M. Reza Soroushmehr, Ebrahim Nasr-Esfahani, Nader Karimi, Shadrokh Samavi, Kayvan Najarian
In this paper we propose an automated method for segmenting the left ventricle in cardiac MR images.
no code implementations • 21 Feb 2018 • Hamidreza Zarrabi, Mohsen Hajabdollahi, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian
In this study a reversible watermarking is investigated with focusing on increasing the embedding capacity and reducing the distortion in medical images.
no code implementations • 31 Dec 2017 • Mahdi Ahmadi, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi
In this paper a saliency map is proposed, based on image context detection using semantic segmentation as a high level feature.
1 code implementation • 29 Dec 2017 • Ebrahim Nasr-Esfahani, Shima Rafiei, Mohammad H. Jafari, Nader Karimi, James S. Wrobel, S. M. Reza Soroushmehr, Shadrokh Samavi, Kayvan Najarian
One of the essential tasks in medical image analysis is segmentation and accurate detection of borders.
no code implementations • 29 Dec 2017 • Mohammad Amin Khorsandi, Nader Karimi, Shadrokh Samavi
The proposed method is devoid of complex and iterative structure to save power and reduce the response time.
no code implementations • 13 Oct 2017 • Eman Alibeigi, Shadrokh Samavi, Shahram Shirani, Zahra Rahmani
Most of the automatic verification systems are based on matching of fingerprint minutiae.
no code implementations • 12 Oct 2017 • Farshad Kheiri, Shadrokh Samavi, Nader Karimi
Two critical steps in fingerprint recognition are binarization and thinning of the image.
no code implementations • 8 Sep 2017 • Hamid R. Fazlali, Nader Karimi, S. M. Reza Soroushmehr, Shahram Shirani, Brahmajee. K. Nallamothu, Kevin R. Ward, Shadrokh Samavi, Kayvan Najarian
In this framework we use our catheter detection and tracking method which detects the catheter by finding its ridge in the first frame and traces in other frames by fitting a second order polynomial on it.
no code implementations • 6 Sep 2017 • Zohreh HosseinKhani, Mohsen Hajabdollahi, Nader Karimi, Reza Soroushmehr, Shahram Shirani, Kayvan Najarian, Shadrokh Samavi
In this paper a low complexity de-noising method is proposed that removes the noise by local analysis of the image blocks.
no code implementations • 3 Sep 2017 • Maryam Karimi, Najmeh Soltanian, Shadrokh Samavi, Nader Karimi, S. M. Reza Soroushmehr, Kayvan Najarian
Then, a stacked neural network model is proposed, which learns the extracted features and accurately evaluates the quality of stereo images.
no code implementations • 13 Nov 2016 • Ebrahim Nasr-Esfahani, Nader Karimi, S. M. Reza Soroushmehr, M. Hossein Jafari, M. Amin Khorsandi, Shadrokh Samavi, Kayvan Najarian
In this paper we introduce a system of hand gesture recognition based on a deep learning approach.
no code implementations • 8 Sep 2016 • Mohammad H. Jafari, Ebrahim Nasr-Esfahani, Nader Karimi, S. M. Reza Soroushmehr, Shadrokh Samavi, Kayvan Najarian
The input image is preprocessed and then its patches are fed to a convolutional neural network (CNN).