72 citations · 85 across the 15 of their papers we have counts for
16 papers
Dynamic-Pix2Pix: Noise Injected cGAN for Modeling Input and Target Domain Joint Distributions with Limited Training Data
Mohammadreza Naderi, Nader Karimi, Ali Emami +2
Learning to translate images from a source to a target domain with applications such as converting simple line drawing to oil painting has attracted significant attention. The qual…
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…
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…
Transmit Power Optimization in Optical Coherent Transmission Systems: Analytical, Simulation, and Experimental Results
Ramin Hashemi, Mehdi Habibi, Hamzeh Beyranvand +3
In this paper, we propose to use the discretized version of the so-called Enhanced Gaussian Noise (EGN) model to estimate the non-linearity effects of fiber on the performance of o…
Brain Tumor Segmentation by Cascaded Deep Neural Networks Using Multiple Image Scales
Zahra Sobhaninia, Safiyeh Rezaei, Nader Karimi +2
Intracranial tumors are groups of cells that usually grow uncontrollably. One out of four cancer deaths is due to brain tumors. Early detection and evaluation of brain tumors is an…
Gland Segmentation in Histopathological Images by Deep Neural Network
Safiye Rezaei, Ali Emami, Nader Karimi +1
Histology method is vital in the diagnosis and prognosis of cancers and many other diseases. For the analysis of histopathological images, we need to detect and segment all gland s…