Mehrdad Oveisi

Mehrdad Oveisi

King's College

H-index: 17

North America-United States

About Mehrdad Oveisi

Mehrdad Oveisi, With an exceptional h-index of 17 and a recent h-index of 14 (since 2020), a distinguished researcher at King's College, specializes in the field of AI, Data Science, Bioinformatics, Biomedical Informatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Differential privacy preserved federated learning for prognostic modeling in COVID‐19 patients using large multi‐institutional chest CT dataset

Development and validation of survival prognostic models for head and neck cancer patients using machine learning and dosiomics and CT radiomics features: a multicentric study

Prevalence of electrocardiographic abnormalities among Iranian children and adolescents and associations with blood pressure and obesity: findings from the SHED LIGHT study

Impact of harmonization on the reproducibility of MRI radiomic features when using different scanners, acquisition parameters, and image pre-processing techniques: a phantom study

Differentiation of COVID‐19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study

Comparison of Machine Learning Algorithms Using Manual/Automated Features on 12-Lead Signal Electrocardiogram Classification: A Large Cohort Study on Students Aged Between 6 to …

Time-to-event overall survival prediction in glioblastoma multiforme patients using magnetic resonance imaging radiomics

ViSERA: Visualized & Standardized Environment for Radiomics Analysis-A Shareable, Executable, and Reproducible Workflow Generator

Mehrdad Oveisi Information

University

Position

___

Citations(all)

1153

Citations(since 2020)

973

Cited By

312

hIndex(all)

17

hIndex(since 2020)

14

i10Index(all)

22

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Mehrdad Oveisi Skills & Research Interests

AI

Data Science

Bioinformatics

Biomedical Informatics

Top articles of Mehrdad Oveisi

Differential privacy preserved federated learning for prognostic modeling in COVID‐19 patients using large multi‐institutional chest CT dataset

Medical Physics

2024/2/9

Development and validation of survival prognostic models for head and neck cancer patients using machine learning and dosiomics and CT radiomics features: a multicentric study

Radiation Oncology

2024/1/22

Prevalence of electrocardiographic abnormalities among Iranian children and adolescents and associations with blood pressure and obesity: findings from the SHED LIGHT study

Cardiology in the Young

2024/1/18

Yousef Rezaei
Yousef Rezaei

H-Index: 7

Mehrdad Oveisi
Mehrdad Oveisi

H-Index: 7

Impact of harmonization on the reproducibility of MRI radiomic features when using different scanners, acquisition parameters, and image pre-processing techniques: a phantom study

Medical & biological engineering & computing

2024/3/27

Differentiation of COVID‐19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study

International Journal of Imaging Systems and Technology

2024/3

Comparison of Machine Learning Algorithms Using Manual/Automated Features on 12-Lead Signal Electrocardiogram Classification: A Large Cohort Study on Students Aged Between 6 to …

Cardiovascular Engineering and Technology

2023/12

Time-to-event overall survival prediction in glioblastoma multiforme patients using magnetic resonance imaging radiomics

La radiologia medica

2023/12

Mehrdad Oveisi
Mehrdad Oveisi

H-Index: 7

Isaac Shiri
Isaac Shiri

H-Index: 15

ViSERA: Visualized & Standardized Environment for Radiomics Analysis-A Shareable, Executable, and Reproducible Workflow Generator

2023/11/4

Dual-Centre Harmonised Multimodal Positron Emission Tomography/Computed Tomography Image Radiomic Features and Machine Learning Algorithms for Non-small Cell Lung Cancer …

Clinical oncology

2023/11/1

Assessment of Machine Learning Approaches to Predict in-Hospital Mortality in Patients Underwent Prosthetic Heart Valve Replacement Surgery

Journal of Advances in Medical and Biomedical Research

2023/6/10

Myocardial perfusion SPECT imaging radiomic features and machine learning algorithms for cardiac contractile pattern recognition

Journal of Digital Imaging

2023/4

Development of a patients’ satisfaction analysis system using machine learning and lexicon-based methods

BMC Health Services Research

2023/3/23

Mehrdad Oveisi
Mehrdad Oveisi

H-Index: 7

Saeideh Mazloomzadeh
Saeideh Mazloomzadeh

H-Index: 15

Artificial intelligence-based analysis of whole-body bone scintigraphy: The quest for the optimal deep learning algorithm and comparison with human observer performance

Zeitschrift für Medizinische Physik

2023/3/15

COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients

Computers in biology and medicine

2022/6/1

Electrocardiogram Signal Classification Using Manual/Automated Features and Machine Learning Algorithms: A Large Cohort Study on Students Aging from 6 to 18 Years Old

2022/4/21

Prediction Of Postoperative Pulmonary Complications Using Clinical Data And Machine Learning

2022/3/14

Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images

Computers in biology and medicine

2022/3/1

Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection

Computers in Biology and Medicine

2022/2/1

Overall survival prognostic modelling of non-small cell lung cancer patients using positron emission tomography/computed tomography harmonised radiomics features: the quest for …

Clinical Oncology

2022/2/1

Myocardial function prediction after coronary artery bypass grafting using mri radiomic features and machine learning algorithms

Journal of digital imaging

2022/12

See List of Professors in Mehrdad Oveisi University(King's College)

Co-Authors

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