Navid Ghassemi

2.4k total citations · 2 hit papers
23 papers, 1.5k citations indexed

About

Navid Ghassemi is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Navid Ghassemi has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Artificial Intelligence. Recurrent topics in Navid Ghassemi's work include EEG and Brain-Computer Interfaces (7 papers), Functional Brain Connectivity Studies (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Navid Ghassemi is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Functional Brain Connectivity Studies (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Navid Ghassemi collaborates with scholars based in Iran, Australia and Spain. Navid Ghassemi's co-authors include Afshin Shoeibi, Modjtaba Rouhani, Roohallah Alizadehsani, Parisa Moridian, J. M. Górriz, Marjane Khodatars, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi and Assef Zare and has published in prestigious journals such as Expert Systems with Applications, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Navid Ghassemi

23 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images

2019 305 citations Navid Ghassemi, Afshin Shoeibi et al. Biomedical Signal Processing and Control profile →
Epileptic Seizures Detection Using Deep Learning Techniques: A Review

2021 263 citations Afshin Shoeibi, Marjane Khodatars et al. International Journal of Environmental Research and Public Health profile →

Peers

Countries citing papers authored by Navid Ghassemi

Since Specialization

Citations

This map shows the geographic impact of Navid Ghassemi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Navid Ghassemi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Navid Ghassemi more than expected).

Fields of papers citing papers by Navid Ghassemi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Navid Ghassemi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Navid Ghassemi. The network helps show where Navid Ghassemi may publish in the future.

Co-authorship network of co-authors of Navid Ghassemi

This figure shows the co-authorship network connecting the top 25 collaborators of Navid Ghassemi. A scholar is included among the top collaborators of Navid Ghassemi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Navid Ghassemi. Navid Ghassemi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning 2023 ·Applied Soft Computing ·Navid Ghassemi, Afshin Shoeibi, Marjane Khodatars, Jónathan Heras, Alireza Rahimi, Assef Zare, Yudong Zhang, Ram Bilas Pachori, J. M. Górriz	35
2	Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review 2023 ·Computers in Biology and Medicine ·Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, (unknown), Yudong Zhang, Shuihua Wang‎, J. M. Górriz, Hamid Alinejad‐Rokny, U. Rajendra Acharya	50
3	Material recognition for construction quality monitoring using deep learning methods 2023 ·Construction Innovation ·(unknown), Navid Ghassemi, (unknown), Afshin Shoeibi, Sadiq Hussain, Farnad Nasirzadeh, Roohallah Alizadehsani, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi	5
4	Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression 2022 ·arXiv (Cornell University) ·Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Abbas Khosravi, Assef Zare, J. M. Górriz, (unknown), Ali Khadem, U. Rajendra Acharya	55
5	A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection 2022 ·arXiv (Cornell University) ·Navid Ghassemi, (unknown)	2
6	Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review 2022 ·Frontiers in Molecular Neuroscience ·Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, Salam Salloum‐Asfar, Delaram Sadeghi, Marjane Khodatars, Afshin Shoeibi, Abbas Khosravi, Sai Ho Ling, Abdülhamit Subaşı, Roohallah Alizadehsani, J. M. Górriz, Sara Abdulla, U. Rajendra Acharya	72
7	An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works 2022 ·Computers in Biology and Medicine ·Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Mohammad Teshnehlab, J. M. Górriz, Fahime Khozeimeh, Yudong Zhang, Saeid Nahavandi, U. Rajendra Acharya	96
8	Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review 2022 ·arXiv (Cornell University) ·Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, (unknown), Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, Yudong Zhang, Shuihua Wang‎, J. M. Górriz, Hamid Alinejad‐Rokny, U. Rajendra Acharya	2
9	Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review 2022 ·Information Fusion ·Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Sai Ho Ling, Abbas Khosravi, Hamid Alinejad‐Rokny, Hak‐Keung Lam, Matthew Fuller‐Tyszkiewicz, U. Rajendra Acharya, (unknown), Yudong Zhang, J. M. Górriz	65
10	Classification of Tuberculosis Type on CT Scans of Lungs using a fusion of 2D and 3D Deep Convolutional Neural Networks. 2021 ·CLEF (Working Notes) ·(unknown), (unknown), (unknown), Navid Ghassemi	3
11	Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models 2021 ·Frontiers in Neuroinformatics ·Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Yudong Zhang, J. M. Górriz	113
12	Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems 2021 ·Sensors ·(unknown), Mahboobeh Jafari, Afshin Shoeibi, Assef Zare, Marjane Khodatars, Navid Ghassemi, Roohallah Alizadehsani, J. M. Górriz	33
13	Epileptic Seizures Detection Using Deep Learning Techniques: A Review breakdown → 2021 ·International Journal of Environmental Research and Public Health ·Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Mahboobeh Jafari, Parisa Moridian, Roohallah Alizadehsani, Maryam Panahiazar, Fahime Khozeimeh, Assef Zare, Hossein Hosseini‐Nejad, Abbas Khosravi, Amir F. Atiya, (unknown), Sadiq Hussain, Modjtaba Rouhani, Saeid Nahavandi, U. Rajendra Acharya	263
14	Epileptic seizure detection using deep learning techniques: A Review 2020 ·arXiv (Cornell University) ·Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Sadiq Hussain, Roohallah Alizadehsani, Parisa Moridian, Abbas Khosravi, Hossein Hosseini‐Nejad, Modjtaba Rouhani, Assef Zare, Ali Khadem, Saeid Nahavandi, Amir F. Atiya, U. Rajendra Acharya	24
15	Robust Adaptive Synchronization of a Class of Uncertain Chaotic Systems with Unknown Time-Delay 2020 ·Applied Sciences ·Assef Zare, (unknown), (unknown), Afshin Shoeibi, Mahboobeh Jafari, Navid Ghassemi, Roohallah Alizadehsani, Amir Mosavi	10
16	A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals 2020 ·Expert Systems with Applications ·Afshin Shoeibi, Navid Ghassemi, Roohallah Alizadehsani, Modjtaba Rouhani, Hossein Hosseini‐Nejad, Abbas Khosravi, Maryam Panahiazar, Saeid Nahavandi	111
17	Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review 2020 ·arXiv (Cornell University) ·Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Delaram Sadeghi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Fahime Khozeimeh, Saeid Nahavandi, U. Rajendra Acharya, J. M. Górriz	95
18	An Efficient Brain MR Images Segmentation Hardware Using Kernel Fuzzy C-Means 2019 ·Afshin Shoeibi, Navid Ghassemi, Hossein Hosseini‐Nejad, Modjtaba Rouhani	6
19	Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images breakdown → 2019 ·Biomedical Signal Processing and Control ·Navid Ghassemi, Afshin Shoeibi, Modjtaba Rouhani	305
20	Epileptic seizures detection in EEG signals using TQWT and ensemble learning 2019 ·Navid Ghassemi, Afshin Shoeibi, Modjtaba Rouhani, Hossein Hosseini‐Nejad	31

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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