Malihe Sabeti

25 papers Journal 22Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
LungXpertAI: A deep multi-task learning model for chest CT scan analysis and COVID-19 detection.
Biomed. Signal Process. Control.
Shirin Kordnoori, Malihe Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi
2024 J jnl
A Novel Training Approach in Deep Spiking Neural Network Based on Fuzzy Weighting and Meta-heuristic Algorithm.
Int. J. Comput. Intell. Syst.
Melika Hamian, Karim Faez, Soheila Nazari, Malihe Sabeti
2024 J jnl
Advances in medical image analysis: A comprehensive survey of lung infection detection.
IET Image Process.
Shirin Kordnoori, Malihe Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi
2024 J jnl
Cutting-edge multi-task model: unveiling COVID-19 through fusion of image processing algorithms.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Shirin Kordnoori, Malihe Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi
2024 J jnl
Enhancing Adaboost performance in the presence of class-label noise: A comparative study on EEG-based classification of schizophrenic patients and benchmark datasets.
Intell. Data Anal.
Omid Ranjbar Pouya, Reza Boostani, Malihe Sabeti
2023 J jnl
A novel learning approach in deep spiking neural networks with multi-objective optimization algorithms for automatic digit speech recognition.
J. Supercomput.
Melika Hamian, Karim Faez, Soheila Nazari, Malihe Sabeti
2023 J jnl
An efficient deep multi-task learning structure for covid-19 disease.
IET Image Process.
Shirin Kordnoori, Malihe Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi
2023 J jnl
Analysis of lung scan imaging using deep multi-task learning structure for Covid-19 disease.
IET Image Process.
Shirin Kordnoori, Malihe Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi
2023 J jnl
Correction to: Feature selection and mapping of local binary pattern for texture classification.
Multim. Tools Appl.
Mohammad Hossein Shakoor, Reza Boostani, Malihe Sabeti, Mokhtar Mohammadi
2023 J jnl
Feature selection and mapping of local binary pattern for texture classification.
Multim. Tools Appl.
Mohammad Hossein Shakoor, Reza Boostani, Malihe Sabeti, Mokhtar Mohammadi
2023 J jnl
Predicting outcomes in kidney stone endoscopic surgery by rotation forest algorithm.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Shima Pooyesh, Saghar Foshati, Malihe Sabeti, Hamid Parvin, Alireza Aminsharifi
2022 J jnl
ORBoost: An Orthogonal AdaBoost.
Intell. Data Anal.
Zohreh Bostanian, Reza Boostani, Malihe Sabeti, Mokhtar Mohammadi
2020 J jnl
Event related potential (ERP) as a reliable biometric indicator: A comparative approach.
Array
Malihe Sabeti, Reza Boostani, E. Moradi
2018 J jnl
Improved particle swarm optimisation to estimate bone age.
IET Image Process.
Malihe Sabeti, Reza Boostani, Bita Davoodi
2017 J jnl
Separation of P300 event-related potential using time varying time-lag blind source separation algorithm.
Comput. Methods Programs Biomed.
Malihe Sabeti, Reza Boostani
2016 J jnl
A multi-resolution approach to localize neural sources of P300 event-related brain potential.
Comput. Methods Programs Biomed.
Malihe Sabeti, Seraj D. Katebi, K. Rastgar, Zohreh Azimifar
2015 J jnl
Source localization algorithms to find attention and memory circuits in the brain.
J. King Saud Univ. Comput. Inf. Sci.
Malihe Sabeti, Seraj D. Katebi, K. Rastgar
2014 J jnl
Classification of EEG Signals using adaptive weighted distance nearest neighbor algorithm.
J. King Saud Univ. Comput. Inf. Sci.
Elham Parvinnia, Malihe Sabeti, Mansoor Zolghadri Jahromi, Reza Boostani
2012 — conf
Complexity Measure as a Feature to Classify Schizophrenic and Healthy Participants.
UKSim
Seraj D. Katebi, Malihe Sabeti
2011 J jnl
A new approach for EEG signal classification of schizophrenic and control participants.
Expert Syst. Appl.
Malihe Sabeti, Seraj D. Katebi, Reza Boostani, G. W. Price
2009 J jnl
An efficient classifier to diagnose of schizophrenia based on the EEG signals.
Expert Syst. Appl.
Reza Boostani, Khadijeh Sadatnezhad, Malihe Sabeti
2009 J jnl
Entropy and complexity measures for EEG signal classification of schizophrenic and control participants.
Artif. Intell. Medicine
Malihe Sabeti, Serajeddin Katebi, Reza Boostani
2007 — conf
A New Approach to Classify the Schizophrenic and Normal Subjects by Finding the Best Channels and Frequency Bands.
DSP
Malihe Sabeti, Reza Boostani, Seraj D. Katebi
2007 J jnl
Selection of relevant features for EEG signal classification of schizophrenic patients.
Biomed. Signal Process. Control.
Malihe Sabeti, Reza Boostani, Seraj D. Katebi, G. W. Price
2005 — conf
Fuzzy Classifier System for Classification Task.
Artificial Intelligence and Applications
Malihe Sabeti, Seraj D. Katebi