Mohamad Roshanzamir

According to our database, Mohamad Roshanzamir authored at least 25 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020).

Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya

Ann. Oper. Res., August, 2024

Progress and trends in neurological disorders research based on deep learning.

Muhammad Shahid Iqbal, Md Belal Bin Heyat, Saba Parveen, Mohd Ammar Bin Hayat, Mohamad Roshanzamir, Roohallah Alizadehsani, Faijan Akhtar, Eram Sayeed, Sadiq Hussain, Hany S. Hussein, Mohamad Sawan

Comput. Medical Imaging Graph., 2024

Comparison Between State-of-the-Art Color Local Binary Pattern-Based Descriptors for Image Retrieval.

Mahmood Sotoodeh, Ali Kohan, Mohamad Roshanzamir, Senthil Kumar Jagatheesaperumal, Mohammad Reza Chalak Qazani, Javad Hassannataj Joloudari, Roohallah Alizadehsani, Pawel Plawiak

IEEE Access, 2024

Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey.

Roohallah Alizadehsani, Solomon Sunday Oyelere, Sadiq Hussain, Senthil Kumar Jagatheesaperumal, Rene Ripardo Calixto, Mohamed Rahouti, Mohamad Roshanzamir, Victor Hugo C. de Albuquerque

IEEE Access, 2024

Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications.

Mohamad Roshanzamir, Roohallah Alizadehsani, Seyed Vahid Moravvej, Javad Hassannataj Joloudari, Hamid Alinejad-Rokny, Juan Manuel Górriz

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

2023

Identification of Clinical Features Associated with Mortality in COVID-19 Patients.

Rahimeh Eskandarian, Roohallah Alizadehsani, Mohaddeseh Behjati, Mehrdad Zahmatkesh, Zahra Alizadeh Sani, Azadeh Haddadi, Kourosh Kakhi, Mohamad Roshanzamir, Afshin Shoeibi, Sadiq Hussain, Fahime Khozeimeh, Mohammad Tayarani Darbandy, Javad Hassannataj Joloudari, Reza Lashgari, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam

Oper. Res. Forum, March, 2023

Swarm Intelligence in Internet of Medical Things: A Review.

Roohallah Alizadehsani, Mohamad Roshanzamir, Navid Hoseini Izadi, Raffaele Gravina, Hussain Mohammed Dipu Kabir, Darius Nahavandi, Hamid Alinejad-Rokny, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi, Giancarlo Fortino

Sensors, February, 2023

Explainable Artificial Intelligence for Drug Discovery and Development - A Comprehensive Survey.

Roohallah Alizadehsani, Sadiq Hussain, Rene Ripardo Calixto, Victor Hugo C. de Albuquerque, Mohamad Roshanzamir, Mohamed Rahouti, Senthil Kumar Jagatheesaperumal

CoRR, 2023

Using Data Mining Techniques to Analyze Facial Expression Motion Vectors.

Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan Manuel Górriz, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya

Proceedings of the Dynamics of Information Systems - 6th International Conference, 2023

2022

Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries.

Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Abbas Khosravi, Saeid Nahavandi, Pawel Plawiak, Ru San Tan, U. Rajendra Acharya

Expert Syst. J. Knowl. Eng., 2022

2021

Efficiency improvement of genetic network programming by tasks decomposition in different types of environments.

Mohamad Roshanzamir, Maziar Palhang, Abdolreza Mirzaei

Genet. Program. Evolvable Mach., 2021

What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors.

Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan Manuel Górriz, Abbas Khosravi, Saeid Nahavandi

CoRR, 2021

Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020.

Roohallah Alizadehsani, Abbas Khosravi, Mohamad Roshanzamir, Moloud Abdar, Nizal Sarrafzadegan, Davood Shafie, Fahime Khozeimeh, Afshin Shoeibi, Saeid Nahavandi, Maryam Panahiazar, Andrew Bishara, Ramin E. Beygui, Rishi Puri, Samir Kapadia, Ru San Tan, U. Rajendra Acharya

Comput. Biol. Medicine, 2021

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images.

Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya

Biomed. Signal Process. Control., 2021

2020

Model uncertainty quantification for diagnosis of each main coronary artery stenosis.

Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Mohammad Hossein Zangooei, Abbas Khosravi, Saeid Nahavandi, Ru San Tan, U. Rajendra Acharya

Soft Comput., 2020

2019

Graph structure optimization of Genetic Network Programming with ant colony mechanism in deterministic and stochastic environments.

Mohamad Roshanzamir, Maziar Palhang, Abdolreza Mirzaei

Swarm Evol. Comput., 2019

Machine learning-based coronary artery disease diagnosis: A comprehensive review.

Roohallah Alizadehsani, Moloud Abdar, Mohamad Roshanzamir, Abbas Khosravi, Parham M. Kebria, Fahime Khozeimeh, Saeid Nahavandi, Nizal Sarrafzadegan, U. Rajendra Acharya

Comput. Biol. Medicine, 2019

2018

Cryotherapy Dataset.

Fahime Khozeimeh, Roohallah Alizadehsani, Mohamad Roshanzamir, Pouran Layegh

Dataset, January, 2018

Immunotherapy Dataset.

Fahime Khozeimeh, Roohallah Alizadehsani, Mohamad Roshanzamir, Pouran Layegh

Dataset, January, 2018

Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries.

Roohallah Alizadehsani, Mohammad Javad Hosseini, Abbas Khosravi, Fahime Khozeimeh, Mohamad Roshanzamir, Nizal Sarrafzadegan, Saeid Nahavandi

Comput. Methods Programs Biomed., 2018

2017

extention of Z-Alizadeh sani dataset.

Roohallah Alizadehsani, Mohamad Roshanzamir, Zahra Alizadeh Sani

Dataset, November, 2017

Z-Alizadeh Sani.

Roohallah Alizadehsani, Mohamad Roshanzamir, Zahra Alizadeh Sani

Dataset, November, 2017

Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm.

Zeinab Arabasadi, Roohallah Alizadehsani, Mohamad Roshanzamir, Hossein Moosaei, Ali Asghar Yarifard

Comput. Methods Programs Biomed., 2017

An expert system for selecting wart treatment method.

Fahime Khozeimeh, Roohallah Alizadehsani, Mohamad Roshanzamir, Abbas Khosravi, Pouran Layegh, Saeid Nahavandi

Comput. Biol. Medicine, 2017

2016

Coronary artery disease detection using computational intelligence methods.

Roohallah Alizadehsani, Mohammad Hossein Zangooei, Mohammad Javad Hosseini, Jafar Habibi, Abbas Khosravi, Mohamad Roshanzamir, Fahime Khozeimeh, Nizal Sarrafzadegan, Saeid Nahavandi

Knowl. Based Syst., 2016