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Mohamad Roshanzamir
Observed names:
M. Roshanzamir,
Roshanzamir Mohamad,
Roshanzamir, Mohamad
Institution:
Fasa University
Observed institutions:
Deakin University,
Isfahan University of Technology,
University of Bojnord,
UNSW Sydney,
Islamic Azad University, Fasa Branch,
Fasa University,
Ngee Ann Polytechnic,
Concordia University,
Dibrugarh University
show all 9
ORCID:
0000-0002-4620-9008
Observed ORCID:
0000-0002-4620-9008
OpenAlex ID:
A5076824950
Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm
2017
·
Zeinab Arabasadi
, Roohallah Alizadehsani
, et al.
·
Computer Methods and Programs in Biomedicine
·
513
Machine learning-based coronary artery disease diagnosis: A comprehensive review
2019
·
Roohallah Alizadehsani
, Moloud Abdar
, et al.
·
Computers in Biology and Medicine
·
292
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
2021
·
Danial Sharifrazi
, Roohallah Alizadehsani
, et al.
·
Biomedical Signal Processing and Control
·
195
Risk factors prediction, clinical outcomes, and mortality in COVID‐19 patients
2020
·
Roohallah Alizadehsani
, Zahra Alizadeh Sani
, et al.
·
Journal of Medical Virology
·
179
PDF
An expert system for selecting wart treatment method
2017
·
Fahime Khozeimeh
, Roohallah Alizadehsani
, et al.
·
Computers in Biology and Medicine
·
172
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)
2021
·
Roohallah Alizadehsani
, Mohamad Roshanzamir
, et al.
·
Annals of Operations Research
·
171
PDF
Coronary artery disease detection using computational intelligence methods
2016
·
Roohallah Alizadehsani
, Mohammad Hossein Zangooei
, et al.
·
Knowledge-Based Systems
·
149
Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey
2024
·
Roohallah Alizadehsani
, Solomon Sunday Oyelere
, et al.
·
IEEE Access
·
141
PDF
Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries
2018
·
Roohallah Alizadehsani
, Mohammad Javad Hosseini
, et al.
·
Computer Methods and Programs in Biomedicine
·
129
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020
2020
·
Roohallah Alizadehsani
, Abbas Khosravi
, et al.
·
Computers in Biology and Medicine
·
123
A database for using machine learning and data mining techniques for coronary artery disease diagnosis
2019
·
R. Alizadehsani
, M. Roshanzamir
, et al.
·
Scientific Data
·
108
PDF
Prognosis prediction in traumatic brain injury patients using machine learning algorithms
2023
·
Hosseinali Khalili
, Maziyar Rismani
, et al.
·
Scientific Reports
·
83
PDF
Swarm Intelligence in Internet of Medical Things: A Review
2023
·
Roohallah Alizadehsani
, Mohamad Roshanzamir
, et al.
·
Sensors
·
57
PDF
Progress and trends in neurological disorders research based on deep learning
2024
·
Muhammad Shahid Iqbal
, Md Belal Bin Heyat
, et al.
·
Computerized Medical Imaging and Graphics
·
51
Detection of effective genes in colon cancer: A machine learning approach
2021
·
Mohammad Amin Fahami
, Mohamad Roshanzamir
, et al.
·
Informatics in Medicine Unlocked
·
44
PDF
Hybrid genetic‐discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries
2020
·
Roohallah Alizadehsani
, Mohamad Roshanzamir
, et al.
·
Expert Systems
·
42
Model uncertainty quantification for diagnosis of each main coronary artery stenosis
2019
·
Roohallah Alizadehsani
, Mohamad Roshanzamir
, et al.
·
Soft Computing
·
40
Body composition predicts hypertension using machine learning methods: a cohort study
2023
·
Mohammad Ali Nematollahi
, Soodeh Jahangiri
, et al.
·
Scientific Reports
·
35
PDF
Identification of Clinical Features Associated with Mortality in COVID-19 Patients
2023
·
Rahimeh Eskandarian
, Roohallah Alizadehsani
, et al.
·
Operations Research Forum
·
26
PDF
Factors Associated With Mortality in Hospitalized Cardiovascular Disease Patients Infected With COVID-19
2021
·
Roohallah Alizadehsani
, Rahimeh Eskandarian
, et al.
·
Immunity Inflammation and Disease
·
25
PDF
Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications
2024
·
Mohamad Roshanzamir
, Roohallah Alizadehsani
, et al.
·
Lecture notes in computer science
·
19
Hypertrophic Cardiomyopathy Diagnosis Based on Cardiovascular Magnetic Resonance Using Deep Learning Techniques
2021
·
Danial Sharifrazi
, Roohallah Alizadehsani
, et al.
·
Research Square
·
18
PDF
What Happens in Face During a Facial Expression? Using Data Mining Techniques to Analyze Facial Expression Motion Vectors
2024
·
Mohamad Roshanzamir
, Mahboobeh Jafari
, et al.
·
Information Systems Frontiers
·
17
PDF
A cohort study on the predictive capability of body composition for diabetes mellitus using machine learning
2023
·
Mohammad Ali Nematollahi
, Amir Askarinejad
, et al.
·
Journal of Diabetes & Metabolic Disorders
·
17
PDF
Graph structure optimization of Genetic Network Programming with ant colony mechanism in deterministic and stochastic environments
2019
·
Mohamad Roshanzamir
, Maziar Palhang
, et al.
·
Swarm and Evolutionary Computation
·
12
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Works count:
49
Citation count:
2,700
H-index:
20
I10-index:
25
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