Mohammad Mahdi Ershadi

11 papers Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Entropy-guided semi-supervised framework for robust chest X-ray segmentation using dynamic competition and patch-wise contrastive learning.
Biomed. Signal Process. Control.
Mohammad Mahdi Ershadi, Zeinab Rahimi Rise, Seyed Taghi Akhavan Niaki
2023 J jnl
An integrated HFMEA simulation-based multi-objective optimisation model to improve the performances of hospitals: A case study.
J. Simulation
Zeinab Rahimi Rise, Mohammad Mahdi Ershadi
2022 J jnl
A hierarchical machine learning model based on Glioblastoma patients' clinical, biomedical, and image data to analyze their treatment plans.
Comput. Biol. Medicine
Mohammad Mahdi Ershadi, Zeinab Rahimi Rise, Seyed Taghi Akhavan Niaki
2022 J jnl
Applications of dynamic feature selection and clustering methods to medical diagnosis.
Appl. Soft Comput.
Mohammad Mahdi Ershadi, Abbas Seifi
2022 J jnl
Fuzzy expert systems for prediction of ICU admission in patients with COVID-19.
Intell. Decis. Technol.
Ali Akbar Sadatasl, Mohammad Mahdi Ershadi, Shahabeddin Sotudian, Xingyu Li, Scott Dick
2021 J jnl
An economic-statistical design of simple linear profiles with multiple assignable causes using a combination of MOPSO and RSM.
Soft Comput.
Mohammad Javad Ershadi, Mohammad Mahdi Ershadi, S. Haghighi Naeini, Seyed Taghi Akhavan Niaki
2021 J jnl
Fuzzy Expert Systems for Prediction of ICU Admission in Patients with COVID-19.
CoRR
Ali Akbar Sadat Asl, Mohammad Mahdi Ershadi, Shahabeddin Sotudian
2021 J jnl
Simulation-based improvement and modification for performances of hospitals: a case study.
Int. J. Simul. Process. Model.
Mohammad Mahdi Ershadi, Ahmad Shafaeizadeh
2020 J jnl
An efficient Bayesian network for differential diagnosis using experts' knowledge.
Int. J. Intell. Comput. Cybern.
Mohammad Mahdi Ershadi, Abbas Seifi
2020 J jnl
An efficient multi-classifier method for differential diagnosis.
Intell. Decis. Technol.
Mohammad Mahdi Ershadi, Abbas Seifi
2017 — conf
An Expert System Based on Fuzzy Bayesian Network for Heart Disease Diagnosis.
NAFIPS
M. H. Fazel Zarandi, Abbas Seifi, Mohammad Mahdi Ershadi, H. Esmaeeli