9 citations · 26 across the 13 of their papers we have counts for
13 papers
DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection
Ghazaleh Ghorbanzadeh, Zahra Nabizadeh, Nader Karimi +3
Brain-computer interface systems aim to facilitate human-computer interactions in a great deal by direct translation of brain signals for computers. Recently, using many electrodes…
Brain Tumor Classification by Cascaded Multiscale Multitask Learning Framework Based on Feature Aggregation
Zahra Sobhaninia, Nader Karimi, Pejman Khadivi +1
Brain tumor analysis in MRI images is a significant and challenging issue because misdiagnosis can lead to death. Diagnosis and evaluation of brain tumors in the early stages incre…
Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data
Parham Yazdekhasty, Ali Zindari, Zahra Nabizadeh-ShahreBabak +3
Coronavirus has caused hundreds of thousands of deaths. Fatalities could decrease if every patient could get suitable treatment by the healthcare system. Machine learning, especial…
Compound Frechet Inception Distance for Quality Assessment of GAN Created Images
Eric J. Nunn, Pejman Khadivi, Shadrokh Samavi
Generative adversarial networks or GANs are a type of generative modeling framework. GANs involve a pair of neural networks engaged in a competition in iteratively creating fake da…
Robust Watermarking using Diffusion of Logo into Autoencoder Feature Maps
Maedeh Jamali, Nader Karim, Pejman Khadivi +2
Digital contents have grown dramatically in recent years, leading to increased attention to copyright. Image watermarking has been considered one of the most popular methods for co…
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…