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06/12/2023
Supervised Deep Learning for Content-Aware Image Retargeting with Fourier Convolutions
Image retargeting aims to alter the size of the image with attention to ...
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03/12/2023
Endoscopy Classification Model Using Swin Transformer and Saliency Map
Endoscopy is a valuable tool for the early diagnosis of colon cancer. Ho...
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01/09/2023
SFI-Swin: Symmetric Face Inpainting with Swin Transformer by Distinctly Learning Face Components Distributions
Image inpainting consists of filling holes or missing parts of an image....
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12/25/2022
Adaptive Blind Watermarking Using Psychovisual Image Features
With the growth of editing and sharing images through the internet, the ...
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12/19/2022
Focal-UNet: UNet-like Focal Modulation for Medical Image Segmentation
Recently, many attempts have been made to construct a transformer base U...
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11/15/2022
Dynamic-Pix2Pix: Noise Injected cGAN for Modeling Input and Target Domain Joint Distributions with Limited Training Data
Learning to translate images from a source to a target domain with appli...
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09/11/2022
OAIR: Object-Aware Image Retargeting Using PSO and Aesthetic Quality Assessment
Image retargeting aims at altering an image size while preserving import...
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02/21/2022
DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection
Brain-computer interface systems aim to facilitate human-computer intera...
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12/28/2021
Brain Tumor Classification by Cascaded Multiscale Multitask Learning Framework Based on Feature Aggregation
Brain tumor analysis in MRI images is a significant and challenging issu...
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12/17/2021
Image Inpainting Using AutoEncoder and Guided Selection of Predicted Pixels
Image inpainting is an effective method to enhance distorted digital ima...
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12/07/2021
Nuclei Segmentation in Histopathology Images using Deep Learning with Local and Global Views
Digital pathology is one of the most significant developments in modern ...
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09/12/2021
MSGDD-cGAN: Multi-Scale Gradients Dual Discriminator Conditional Generative Adversarial Network
Conditional Generative Adversarial Networks (cGANs) have been used in ma...
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08/19/2021
Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data
Coronavirus has caused hundreds of thousands of deaths. Fatalities could...
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01/21/2021
Weighted Fuzzy-Based PSNR for Watermarking
One of the problems of conventional visual quality evaluation criteria s...
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11/01/2020
Bifurcated Autoencoder for Segmentation of COVID-19 Infected Regions in CT Images
The new coronavirus infection has shocked the world since early 2020 wit...
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11/01/2020
Brain Tumor Classification Using Medial Residual Encoder Layers
According to the World Health Organization, cancer is the second leading...
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09/01/2020
Classification of Diabetic Retinopathy Using Unlabeled Data and Knowledge Distillation
Knowledge distillation allows transferring knowledge from a pre-trained ...
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07/24/2020
Selection of Proper EEG Channels for Subject Intention Classification Using Deep Learning
Brain signals could be used to control devices to assist individuals wit...
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05/11/2020
Hardware Implementation of Adaptive Watermarking Based on Local Spatial Disorder Analysis
With the increasing use of the internet and the ease of exchange of mult...
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03/27/2020
Acceleration of Convolutional Neural Network Using FFT-Based Split Convolutions
Convolutional neural networks (CNNs) have a large number of variables an...
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02/26/2020
Region of Interest Identification for Brain Tumors in Magnetic Resonance Images
Glioma is a common type of brain tumor, and accurate detection of it pla...
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02/09/2020
Unlabeled Data Deployment for Classification of Diabetic Retinopathy Images Using Knowledge Transfer
Convolutional neural networks (CNNs) are extensively beneficial for medi...
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02/09/2020
Splitting Convolutional Neural Network Structures for Efficient Inference
For convolutional neural networks (CNNs) that have a large volume of inp...
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02/09/2020
Convolutional Neural Network Pruning Using Filter Attenuation
Filters are the essential elements in convolutional neural networks (CNN...
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02/05/2020
Brain Tumor Segmentation by Cascaded Deep Neural Networks Using Multiple Image Scales
Intracranial tumors are groups of cells that usually grow uncontrollably...
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01/13/2020
Modeling of Pruning Techniques for Deep Neural Networks Simplification
Convolutional Neural Networks (CNNs) suffer from different issues, such ...
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01/10/2020
Image Inpainting by Multiscale Spline Interpolation
Recovering the missing regions of an image is a task that is called imag...
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01/09/2020
Adaptive Control of Embedding Strength in Image Watermarking using Neural Networks
Digital image watermarking has been widely used in different application...
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12/31/2019
Image Seam-Carving by Controlling Positional Distribution of Seams
Image retargeting is a new image processing task that renders the change...
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12/31/2019
Modeling Neural Architecture Search Methods for Deep Networks
There are many research works on the designing of architectures for the ...
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12/31/2019
Modeling Teacher-Student Techniques in Deep Neural Networks for Knowledge Distillation
Knowledge distillation (KD) is a new method for transferring knowledge o...
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12/27/2019
A General Framework for Saliency Detection Methods
Saliency detection is one of the most challenging problems in the fields...
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12/27/2019
An Abstraction Model for Semantic Segmentation Algorithms
Semantic segmentation is a process of classifying each pixel in the imag...
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12/20/2019
Saliency Based Fire Detection Using Texture and Color Features
Due to industry deployment and extension of urban areas, early warning s...
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11/03/2019
Gland Segmentation in Histopathological Images by Deep Neural Network
Histology method is vital in the diagnosis and prognosis of cancers and ...
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11/03/2019
Localization of Fetal Head in Ultrasound Images by Multiscale View and Deep Neural Networks
One of the routine examinations that are used for prenatal care in many ...
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11/03/2019
Image Inpainting by Adaptive Fusion of Variable Spline Interpolations
There are many methods for image enhancement. Image inpainting is one of...
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11/02/2019
Robustness and Imperceptibility Enhancement in Watermarked Images by Color Transformation
One of the effective methods for the preservation of copyright ownership...
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11/01/2019
BlessMark: A Blind Diagnostically-Lossless Watermarking Framework for Medical Applications Based on Deep Neural Networks
Nowadays, with the development of public network usage, medical informat...
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10/17/2019
Context-Aware Saliency Detection for Image Retargeting Using Convolutional Neural Networks
Image retargeting is the task of making images capable of being displaye...
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08/31/2019
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning
Ultrasound imaging is a standard examination during pregnancy that can b...
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08/31/2019
Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features
Histopathology images contain essential information for medical diagnosi...
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10/16/2018
ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks
Due to the rapid growth of machine learning tools and specifically deep ...
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09/22/2018
Artistic Instance-Aware Image Filtering by Convolutional Neural Networks
In the recent years, public use of artistic effects for editing and beau...
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09/20/2018
Brain Tumor Segmentation Using Deep Learning by Type Specific Sorting of Images
Recently deep learning has been playing a major role in the field of com...
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09/16/2018
Multiple Abnormality Detection for Automatic Medical Image Diagnosis Using Bifurcated Convolutional Neural Network
Automating classification and segmentation process of abnormal regions i...
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08/23/2018
Segmentation of Bleeding Regions in Wireless Capsule Endoscopy for Detection of Informative Frames
Wireless capsule endoscopy (WCE) is an effective mean for diagnosis of g...
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02/23/2018
Adaptive specular reflection detection and inpainting in colonoscopy video frames
Colonoscopy video frames might be contaminated by bright spots with unsa...
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02/23/2018
Left ventricle segmentation By modelling uncertainty in prediction of deep convolutional neural networks and adaptive thresholding inference
Deep neural networks have shown great achievements in solving complex pr...
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02/21/2018
