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20162026
most citedPolyp Segmentation in Colonoscopy Images Using Fully Convolutional Network

138 citations · 441 across the 68 of their papers we have counts for

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Showing 2020Show all

14 papers · 1 filter

eess.IV2020

Bifurcated Autoencoder for Segmentation of COVID-19 Infected Regions in CT Images

Parham Yazdekhasty, Ali Zindar, Zahra Nabizadeh-ShahreBabak +4

The new coronavirus infection has shocked the world since early 2020 with its aggressive outbreak. Rapid detection of the disease saves lives, and relying on medical imaging (Compu…

eess.IV2020★ 1 cited

Brain Tumor Classification Using Medial Residual Encoder Layers

Zahra SobhaniNia, Nader Karimi, Pejman Khadivi +2

According to the World Health Organization (WHO), cancer is the second leading cause of death worldwide, responsible for over 9.5 million deaths in 2018 alone. Brain tumors count f…

eess.IV2020

Classification of Diabetic Retinopathy Using Unlabeled Data and Knowledge Distillation

Sajjad Abbasi, Mohsen Hajabdollahi, Pejman Khadivi +4

Knowledge distillation allows transferring knowledge from a pre-trained model to another. However, it suffers from limitations, and constraints related to the two models need to be…

eess.SP2020

Selection of Proper EEG Channels for Subject Intention Classification Using Deep Learning

Ghazale Ghorbanzade, Zahra Nabizadeh-ShahreBabak, Shadrokh Samavi +3

Brain signals could be used to control devices to assist individuals with disabilities. Signals such as electroencephalograms are complicated and hard to interpret. A set of signal…

cs.MM2020

Hardware Implementation of Adaptive Watermarking Based on Local Spatial Disorder Analysis

Mohsen Hajabdolahi, Nader Karimi, Shahram Shirani +1

With the increasing use of the internet and the ease of exchange of multimedia content, the protection of ownership rights has become a significant concern. Watermarking is an effi…

cs.CV2020★ 25 cited

Acceleration of Convolutional Neural Network Using FFT-Based Split Convolutions

Kamran Chitsaz, Mohsen Hajabdollahi, Nader Karimi +2

Convolutional neural networks (CNNs) have a large number of variables and hence suffer from a complexity problem for their implementation. Different methods and techniques have dev…