cis-Regulatory Element Prediction in Mammalian Genomes. - Asim S. Siddiqui; Gordon Robertson; Misha Bilenky; Tamara Astakhova; Obi L. Griffith; Maik Hassel; Keven Lin; Stephen B. Montgomery; Mehrdad Oveisi; Erin Pleasance; Neil Robertson 004; Monica C. Sleumer; et al. (CSB Workshops, 2005)

Belief Change and Base Dependence. - Mehrdad Oveisi; James P. Delgrande; Francis Jeffry Pelletier; Fred Popowich (KR, 2014)

Using Echo Sounder Technology for Detecting and Predicting Local Sea State. - Mehrdad Oveisi; Fred Popowich; Saida Harle; Maia Hoeberechts (FiCloud, 2015)

Kernel Contraction and Base Dependence: Redundancy in the Base Resulting in Different Types of Dependence. - Mehrdad Oveisi; James P. Delgrande; Fred Popowich; Francis Jeffry Pelletier (IJCAI, 2015)

Kernel Contraction and Base Dependence. - Mehrdad Oveisi; James P. Delgrande; Francis Jeffry Pelletier; Fred Popowich (J. Artif. Intell. Res., 2017)

PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients. - Isaac Shiri; Hassan Maleki; Ghasem Hajianfar; Hamid Abdollahi; Saeed Ashrafinia; Mathieu Hatt; Mehrdad Oveisi; Arman Rahmim (CoRR, 2019)

MFP-Unet: A Novel Deep Learning Based Approach for Left Ventricle Segmentation in Echocardiography. - Shakiba Moradi; Azin Alizadehasl; Jan Dhooge; Isaac Shiri; Niki Oveisi; Mehrdad Oveisi; Majid Maleki; Mostafa Ghelich Oghli (CoRR, 2019)

Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches. - Isaac Shiri; Hassan Maleki; Ghasem Hajianfar; Hamid Abdollahi; Saeed Ashrafinia; Mathieu Hatt; Mehrdad Oveisi; Arman Rahmim (CoRR, 2019)

Non-Invasive MGMT Status Prediction in GBM Cancer Using Magnetic Resonance Images (MRI) Radiomics Features: Univariate and Multivariate Machine Learning Radiogenomics Analysis. - Ghasem Hajianfar; Isaac Shiri; Hassan Maleki; Niki Oveisi; Abbass Haghparast; Hamid Abdollahi; Mehrdad Oveisi (CoRR, 2019)

Non-Invasive Fuhrman Grading of Clear Cell Renal Cell Carcinoma Using Computed Tomography Radiomics Features and Machine Learning. - Mostafa Nazari; Isaac Shiri; Ghasem Hajianfar; Niki Oveisi; Hamid Abdollahi; Mohammad Reza Deevband; Mehrdad Oveisi (CoRR, 2019)

iNucs: inter-nucleosome interactions. - Mehrdad Oveisi; Manu Shukla; Nogayhan Seymen; Masae Ohno; Yuichi Taniguchi; Sunil Nahata; Remco Loos; Ghulam J. Mufti; Robin C. Allshire; Stefan Dimitrov; Mohammad M. Karimi (Bioinform., 2021)

Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature. - Zahra Khodabakhshi; Shayan Mostafaei; Hossein Arabi; Mehrdad Oveisi; Isaac Shiri; Habib Zaidi (Comput. Biol. Medicine, 2021)

Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information. - Zahra Khodabakhshi; Mehdi Amini; Shayan Mostafaei; Atlas Haddadi Avval; Mostafa Nazari; Mehrdad Oveisi; Isaac Shiri; Habib Zaidi (J. Digit. Imaging, 2021)

Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection. - Elham Avard; Isaac Shiri; Ghasem Hajianfar; Hamid Abdollahi; Kiara Rezaei-Kalantari; Golnaz Houshmand; Kianosh Kasani; Ahmad Bitarafan-rajabi; Mohammad Reza Deevband; Mehrdad Oveisi; Habib Zaidi (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. - Isaac Shiri; Mehdi Amini; Mostafa Nazari; Ghasem Hajianfar; Atlas Haddadi Avval; Hamid Abdollahi; Mehrdad Oveisi; Hossein Arabi; Arman Rahmim; Habib Zaidi (Comput. Biol. Medicine, 2022)

COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14, 339 patients. - Isaac Shiri; Yazdan Salimi; Masoumeh Pakbin; Ghasem Hajianfar; Atlas Haddadi Avval; Amirhossein Sanaat; Shayan Mostafaei; Azadeh Akhavanallaf; Abdollah Saberi; Zahra Mansouri; Dariush Askari; Mohammadreza Ghasemian; et al. (Comput. Biol. Medicine, 2022)

Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms. - Fatemeh Arian; Mehdi Amini; Shayan Mostafaei; Kiara Rezaei-Kalantari; Atlas Haddadi Avval; Zahra Shahbazi; Kianosh Kasani; Ahmad Bitarafan-rajabi; Saikat Chatterjee; Mehrdad Oveisi; Isaac Shiri; Habib Zaidi (J. Digit. Imaging, 2022)

Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition. - Maziar Sabouri; Ghasem Hajianfar; Zahra Hosseini; Mehdi Amini; Mobin Mohebi; Tahereh Ghaedian; Shabnam Madadi; Fereydoon Rastgou; Mehrdad Oveisi; Ahmad Bitarafan-rajabi; Isaac Shiri; Habib Zaidi (J. Digit. Imaging, 2023)

Machine Learning Evaluation Metric Discrepancies across Programming Languages and Their Components: Need for Standardization. - Mohammad R. Salmanpour; Morteza Alizadeh; Ghazal Mousavi; Saba Sadeghi; Sajad Amiri; Mehrdad Oveisi; Arman Rahmim; Ilker Hacihaliloglu (CoRR, 2024)

Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study. - Isaac Shiri; Yazdan Salimi; Abdollah Saberi; Masoumeh Pakbin; Ghasem Hajianfar; Atlas Haddadi Avval; Amirhossein Sanaat; Azadeh Akhavanallaf; Shayan Mostafaei; Zahra Mansouri; Dariush Askari; Mohammadreza Ghasemian; et al. (Int. J. Imaging Syst. Technol., 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. - Ghasem Hajianfar; Seyyed Ali Hosseini; Sara Bagherieh; Mehrdad Oveisi; Isaac Shiri; Habib Zaidi (Medical Biol. Eng. Comput., 2024)

Machine Learning Evaluation Metric Discrepancies Across Programming Languages and Their Components in Medical Imaging Domains: Need for Standardization. - Mohammad R. Salmanpour; Morteza Alizadeh; Ghazal Mousavi; Saba Sadeghi; Sajad Amiri; Mehrdad Oveisi; Arman Rahmim; Ilker Hacihaliloglu (IEEE Access, 2025)

AllMetrics: A Unified Python Library for Standardized Metric Evaluation and Robust Data Validation in Machine Learning. - Morteza Alizadeh; Mehrdad Oveisi; Sonya Falahati; Ghazal Mousavi; Mohsen Alambardar Meybodi; Somayeh Sadat Mehrnia; Ilker Hacihaliloglu; Arman Rahmim; Mohammad R. Salmanpour (CoRR, 2025)

Robust Semi-Supervised CT Radiomics for Lung Cancer Prognosis: Cost-Effective Learning with Limited Labels and SHAP Interpretation. - Mohammad R. Salmanpour; Amir Hossein Pouria; Sonia Falahati; Shahram Taeb; Somayeh Sadat Mehrnia; Mehdi Maghsudi; Ali Fathi Jouzdani; Mehrdad Oveisi; Ilker Hacihaliloglu; Arman Rahmim (CoRR, 2025)