Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Ghasem Hajianfar

Showing results (1-10 of 55) with videos related to

Pageof 6
Sort By:
Clinical Nuclear Medicine|September 3, 2025
MetaPredictomics: A Comprehensive Approach to Predict Postsurgical Non-Small Cell Lung Cancer Recurrence Using Clinicopathologic, Radiomics, and Organomics DataMehdi Amini, Ghasem Hajianfar, Yazdan Salimi, et al.
Quantitative Imaging in Medicine and Surgery|February 3, 2022
Longitudinal clustering analysis and prediction of Parkinson's disease progression using radiomics and hybrid machine learningMohammad R Salmanpour, Mojtaba Shamsaei, Ghasem Hajianfar, et al.
Medical Physics|April 17, 2024
Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learningYazdan Salimi, Zahra Mansouri, Ghasem Hajianfar, et al.
Medical & Biological Engineering & Computing|March 27, 2024
Impact of harmonization on the reproducibility of MRI radiomic features when using different scanners, acquisition parameters, and image pre-processing techniques: a phantom studyGhasem Hajianfar, Seyyed Ali Hosseini, Sara Bagherieh, et al.
Clinical Nuclear Medicine|August 28, 2024
Organomics: A Concept Reflecting the Importance of PET/CT Healthy Organ Radiomics in Non-Small Cell Lung Cancer Prognosis Prediction Using Machine LearningYazdan Salimi, Ghasem Hajianfar, Zahra Mansouri, et al.
Computers in Biology and Medicine|December 1, 2020
Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learningMohammad R Salmanpour, Mojtaba Shamsaei, Abdollah Saberi, et al.
World Neurosurgery|September 11, 2019
Noninvasive O<sub>6</sub> Methylguanine-DNA Methyltransferase Status Prediction in Glioblastoma Multiforme Cancer Using Magnetic Resonance Imaging Radiomics Features: Univariate and Multivariate Radiogenomics AnalysisGhasem Hajianfar, Isaac Shiri, Hassan Maleki, et al.
Radiation Oncology (London, England)|January 23, 2024
Development and validation of survival prognostic models for head and neck cancer patients using machine learning and dosiomics and CT radiomics features: a multicentric studyZahra Mansouri, Yazdan Salimi, Mehdi Amini, et al.
Biomedical Physics & Engineering Express|January 29, 2025
A comparison of different machine learning classifiers in predicting xerostomia and sticky saliva due to head and neck radiotherapy using a multi-objective, multimodal radiomics modelBenyamin Khajetash, Ghasem Hajianfar, Amin Talebi, et al.
Endocrine|June 8, 2023
A machine learning-based sonomics for prediction of thyroid nodule malignanciesMohsen Arabi, Mostafa Nazari, Ali Salahshour, et al.
Pageof 6

Showing results (1-10 of 55) with videos related to

Sort By:
Pageof 6
Clinical Nuclear Medicine|September 3, 2025
MetaPredictomics: A Comprehensive Approach to Predict Postsurgical Non-Small Cell Lung Cancer Recurrence Using Clinicopathologic, Radiomics, and Organomics DataMehdi Amini, Ghasem Hajianfar, Yazdan Salimi, et al.
Quantitative Imaging in Medicine and Surgery|February 3, 2022
Longitudinal clustering analysis and prediction of Parkinson's disease progression using radiomics and hybrid machine learningMohammad R Salmanpour, Mojtaba Shamsaei, Ghasem Hajianfar, et al.
Medical Physics|April 17, 2024
Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learningYazdan Salimi, Zahra Mansouri, Ghasem Hajianfar, et al.
Medical & Biological Engineering & Computing|March 27, 2024
Impact of harmonization on the reproducibility of MRI radiomic features when using different scanners, acquisition parameters, and image pre-processing techniques: a phantom studyGhasem Hajianfar, Seyyed Ali Hosseini, Sara Bagherieh, et al.
Clinical Nuclear Medicine|August 28, 2024
Organomics: A Concept Reflecting the Importance of PET/CT Healthy Organ Radiomics in Non-Small Cell Lung Cancer Prognosis Prediction Using Machine LearningYazdan Salimi, Ghasem Hajianfar, Zahra Mansouri, et al.
Computers in Biology and Medicine|December 1, 2020
Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learningMohammad R Salmanpour, Mojtaba Shamsaei, Abdollah Saberi, et al.
World Neurosurgery|September 11, 2019
Noninvasive O<sub>6</sub> Methylguanine-DNA Methyltransferase Status Prediction in Glioblastoma Multiforme Cancer Using Magnetic Resonance Imaging Radiomics Features: Univariate and Multivariate Radiogenomics AnalysisGhasem Hajianfar, Isaac Shiri, Hassan Maleki, et al.
Radiation Oncology (London, England)|January 23, 2024
Development and validation of survival prognostic models for head and neck cancer patients using machine learning and dosiomics and CT radiomics features: a multicentric studyZahra Mansouri, Yazdan Salimi, Mehdi Amini, et al.
Biomedical Physics & Engineering Express|January 29, 2025
A comparison of different machine learning classifiers in predicting xerostomia and sticky saliva due to head and neck radiotherapy using a multi-objective, multimodal radiomics modelBenyamin Khajetash, Ghasem Hajianfar, Amin Talebi, et al.
Endocrine|June 8, 2023
A machine learning-based sonomics for prediction of thyroid nodule malignanciesMohsen Arabi, Mostafa Nazari, Ali Salahshour, et al.
Pageof 6