activity
20092022
most citedPigment Melanin: Pattern for Iris Recognition

130 citations · 163 across the 13 of their papers we have counts for

collaborators

13 papers

q-bio.NC2022

Neural modulation enhancement using connectivity-based EEG neurofeedback with simultaneous fMRI for emotion regulation

Amin Dehghani, Hamid Soltanian-Zadeh, Gholam-Ali Hossein-Zadeh

Emotion regulation plays a key role in human behavior and overall well-being. Neurofeedback is a non-invasive self-brain training technique used for emotion regulation to enhance b…

eess.IV2021

Multi-Scale Convolutional Neural Network for Automated AMD Classification using Retinal OCT Images

Saman Sotoudeh-Paima, Ata Jodeiri, Fedra Hajizadeh +1

Age-related macular degeneration (AMD) is the most common cause of blindness in developed countries, especially in people over 60 years of age. The workload of specialists and the…

eess.IV2021★ 2 cited

CXR-Net: An Artificial Intelligence Pipeline for Quick Covid-19 Screening of Chest X-Rays

Haikal Abdulah, Benjamin Huber, Sinan Lal +4

CXR-Net is a two-module Artificial Intelligence pipeline for the quick detection of SARS-CoV-2 from chest X-rays (CXRs). Module 1 was trained on a public dataset of 6395 CXRs with…

cs.NE2021

Epistocracy Algorithm: A Novel Hyper-heuristic Optimization Strategy for Solving Complex Optimization Problems

Seyed Ziae Mousavi Mojab, Seyedmohammad Shams, Hamid Soltanian-Zadeh +1

This paper proposes a novel evolutionary algorithm called Epistocracy which incorporates human socio-political behavior and intelligence to solve complex optimization problems. The…

eess.IV2020★ 2 cited

Lung Segmentation in Chest X-rays with Res-CR-Net

Haikal Abdulah, Benjamin Huber, Sinan Lal +3

Deep Neural Networks (DNN) are widely used to carry out segmentation tasks in biomedical images. Most DNNs developed for this purpose are based on some variation of the encoder-dec…

eess.IV2020

Comparative Evaluation Of Three Methods Of Automatic Segmentation Of Brain Structures Using 426 Cases

Mohammad-Parsa Hosseini, Esmaeil Davoodi, Evangelia Bouzos +2

Segmentation of brain structures in a large dataset of magnetic resonance images (MRI) necessitates automatic segmentation instead of manual tracing. Automatic segmentation methods…

q-bio.NC2020★ 1 cited

Probing fMRI brain connectivity and activity changes during emotion regulation by EEG neurofeedback

Amin Dehghani, Hamid Soltanian-Zadeh, Gholam-Ali Hossein-Zadeh

Neurofeedback is a non-invasive brain training with long-term medical and non-medical applications. Despite the existence of several emotion regulation studies using neurofeedback,…

cs.CV2019★ 4 cited

Using image-extracted features to determine heart rate and blink duration for driver sleepiness detection

Erfan Darzi, Armin Mohammadie-Zand, Hamid Soltanian-Zadeh

Heart rate and blink duration are two vital physiological signals which give information about cardiac activity and consciousness. Monitoring these two signals is crucial for vario…

q-bio.NC2019★ 14 cited

Enhancing performance of subject-specific models via subject-independent information for SSVEP-based BCIs

Mohammad Hadi Mehdizavareh, Sobhan Hemati, Hamid Soltanian-Zadeh

Recently, brain-computer interface (BCI) systems developed based on steady-state visual evoked potential (SSVEP) have attracted much attention due to their high information transfe…

cs.LG2017★ 2 cited

Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction

Mohammad-Parsa Hosseini, Hamid Soltanian-Zadeh, Kost Elisevich +1

Developing a Brain-Computer Interface~(BCI) for seizure prediction can help epileptic patients have a better quality of life. However, there are many difficulties and challenges in…

cs.CV2016★ 7 cited

Automatic and Manual Segmentation of Hippocampus in Epileptic Patients MRI

Mohammad-Parsa Hosseini, Mohammad-Reza Nazem-Zadeh, Dario Pompili +3

The hippocampus is a seminal structure in the most common surgically-treated form of epilepsy. Accurate segmentation of the hippocampus aids in establishing asymmetry regarding siz…

physics.med-ph2016★ 1 cited

Computerized Processing and Analysis of CT Images for Developing a New Criterion in COPD Diagnosis

Mohammad-Parsa Hosseini, Hamid Soltanian-Zadeh, Shahram Akhlaghpoor

Background: Chronic obstructive pulmonary disease (COPD) is one of the most prevalent and dangerous pulmonary diseases in the world. It is forecasted that COPD will be the third de…

cs.CV2009★ 130 cited

Pigment Melanin: Pattern for Iris Recognition

Mahdi S. Hosseini, Babak N. Araabi, Hamid Soltanian-Zadeh

Recognition of iris based on Visible Light (VL) imaging is a difficult problem because of the light reflection from the cornea. Nonetheless, pigment melanin provides a rich feature…