Mehrdad Oveisi

Orcid: 0000-0002-8100-5609

According to our database1, Mehrdad Oveisi authored at least 20 papers between 2005 and 2024.

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Bibliography

2024
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 Biol. Eng. Comput., August, 2024

Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study.
Int. J. Imaging Syst. Technol., March, 2024

2023
Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition.
J. Digit. Imaging, April, 2023

2022
Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms.
J. Digit. Imaging, 2022

COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14, 339 patients.
Comput. Biol. Medicine, 2022

Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images.
Comput. Biol. Medicine, 2022

Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection.
Comput. Biol. Medicine, 2022

2021
Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information.
J. Digit. Imaging, 2021

Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature.
Comput. Biol. Medicine, 2021

iNucs: inter-nucleosome interactions.
Bioinform., 2021

2019
Non-Invasive Fuhrman Grading of Clear Cell Renal Cell Carcinoma Using Computed Tomography Radiomics Features and Machine Learning.
CoRR, 2019

Non-Invasive MGMT Status Prediction in GBM Cancer Using Magnetic Resonance Images (MRI) Radiomics Features: Univariate and Multivariate Machine Learning Radiogenomics Analysis.
CoRR, 2019

Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches.
CoRR, 2019

MFP-Unet: A Novel Deep Learning Based Approach for Left Ventricle Segmentation in Echocardiography.
CoRR, 2019

PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients.
CoRR, 2019

2017
Kernel Contraction and Base Dependence.
J. Artif. Intell. Res., 2017

2015
Kernel Contraction and Base Dependence: Redundancy in the Base Resulting in Different Types of Dependence.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Using Echo Sounder Technology for Detecting and Predicting Local Sea State.
Proceedings of the 3rd International Conference on Future Internet of Things and Cloud, 2015

2014
Belief Change and Base Dependence.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014

2005
cis-Regulatory Element Prediction in Mammalian Genomes.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005


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