Search Results for author: Nader Karimi

Found 53 papers, 0 papers with code

Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data

no code implementations19 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.

Data Augmentation

Weighted Fuzzy-Based PSNR for Watermarking

no code implementations21 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).

Acceleration of Convolutional Neural Network Using FFT-Based Split Convolutions

no code implementations27 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.

Quantization

Region of Interest Identification for Brain Tumors in Magnetic Resonance Images

no code implementations26 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.

Brain Segmentation Tumor Segmentation

Splitting Convolutional Neural Network Structures for Efficient Inference

no code implementations9 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.

Unlabeled Data Deployment for Classification of Diabetic Retinopathy Images Using Knowledge Transfer

no code implementations9 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.

General Classification Knowledge Distillation +1

Convolutional Neural Network Pruning Using Filter Attenuation

no code implementations9 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.

Image Classification Network Pruning

Modeling of Pruning Techniques for Deep Neural Networks Simplification

no code implementations13 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.

Image Inpainting by Multiscale Spline Interpolation

no code implementations10 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.

Image Inpainting

Adaptive Control of Embedding Strength in Image Watermarking using Neural Networks

no code implementations9 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.

Image Seam-Carving by Controlling Positional Distribution of Seams

no code implementations31 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.

Image Quality Assessment

Modeling Neural Architecture Search Methods for Deep Networks

no code implementations31 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.

Neural Architecture Search

A General Framework for Saliency Detection Methods

no code implementations27 Dec 2019 Fateme Mostafaie, Zahra Nabizadeh, Nader Karimi, Shadrokh Samavi

Saliency detection is one of the most challenging problems in the fields of image analysis and computer vision.

Saliency Detection

An Abstraction Model for Semantic Segmentation Algorithms

no code implementations27 Dec 2019 Reihaneh Teymoori, Zahra Nabizadeh, Nader Karimi, Shadrokh Samavi

In each method, by employing different techniques, new solutions have been presented for increasing efficiency, accuracy, and reducing the costs.

Semantic Segmentation

Saliency Based Fire Detection Using Texture and Color Features

no code implementations20 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.

Localization of Fetal Head in Ultrasound Images by Multiscale View and Deep Neural Networks

no code implementations3 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.

Gland Segmentation in Histopathological Images by Deep Neural Network

no code implementations3 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.

Robustness and Imperceptibility Enhancement in Watermarked Images by Color Transformation

no code implementations2 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.

Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning

no code implementations31 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.

Semantic Segmentation

ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks

no code implementations16 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.

Artistic Instance-Aware Image Filtering by Convolutional Neural Networks

no code implementations22 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.

Instance Segmentation Object Detection +1

Multiple Abnormality Detection for Automatic Medical Image Diagnosis Using Bifurcated Convolutional Neural Network

no code implementations16 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.

Anomaly Detection General Classification

Adaptive specular reflection detection and inpainting in colonoscopy video frames

no code implementations23 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.

Reversible Image Watermarking for Health Informatics Systems Using Distortion Compensation in Wavelet Domain

no code implementations21 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.

Context aware saliency map generation using semantic segmentation

no code implementations31 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.

General Classification Image Classification +2

Polyp detection inside the capsule endoscopy: an approach for power consumption reduction

no code implementations29 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.

Hardware design for binarization and thinning of fingerprint images

no code implementations12 Oct 2017 Farshad Kheiri, Shadrokh Samavi, Nader Karimi

Two critical steps in fingerprint recognition are binarization and thinning of the image.

Binarization

Vessel Segmentation and Catheter Detection in X-Ray Angiograms Using Superpixels

no code implementations8 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.

Superpixels

Adaptive Real-Time Removal of Impulse Noise in Medical Images

no code implementations6 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.

Blind Stereo Image Quality Assessment Inspired by Brain Sensory-Motor Fusion

no code implementations3 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.

Image Quality Assessment

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