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

Ali Amirahmadi

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Frontiers in Artificial Intelligence|October 3, 2025
Adaptive noise-augmented attention for enhancing Transformer fine-tuning on longitudinal medical dataAli Amirahmadi, Farzaneh Etminani, Mattias Ohlsson
Journal of Biomedical Informatics|June 28, 2023
Deep learning prediction models based on EHR trajectories: A systematic reviewAli Amirahmadi, Mattias Ohlsson, Kobra Etminani
Indian Pacing and Electrophysiology Journal|January 19, 2013
Ventricular tachycardia caused by mesothelial cystAli Amirahmadi, Zahra Emkanjoo, Reza Mollazadeh, et al.
Studies in Health Technology and Informatics|May 19, 2023
A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation LearningAli Amirahmadi, Mattias Ohlsson, Kobra Etminani, et al.
JMIR Medical Informatics|June 4, 2025
Trajectory-Ordered Objectives for Self-Supervised Representation Learning of Temporal Healthcare Data Using Transformers: Model Development and Evaluation StudyAli Amirahmadi, Farzaneh Etminani, Jonas Björk, et al.
Anesthesiology and Pain Medicine|March 20, 2015
Mid-Term Patency in Radial Artery and Saphenous Vein After Coronary Artery Bypass Grafting in Asymptomatic Patients Using 128-Slice CT Coronary AngiographyAli Sadeghpour, Hamidreza Pouraliakbar, Rasoul Azarfarin, et al.
Health Science Reports|August 11, 2022
Developing a novel prediction model in opioid overdose using machine learning; a pilot analytical studyEhsan Sakhaee, Ali Amirahmadi, Morteza Mahdiani, et al.
Journal of Biomedical Informatics|February 29, 2024
Graph neural networks for clinical risk prediction based on electronic health records: A surveyHeloísa Oss Boll, Ali Amirahmadi, Mirfarid Musavian Ghazani, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Frontiers in Artificial Intelligence|October 3, 2025
Adaptive noise-augmented attention for enhancing Transformer fine-tuning on longitudinal medical dataAli Amirahmadi, Farzaneh Etminani, Mattias Ohlsson
Journal of Biomedical Informatics|June 28, 2023
Deep learning prediction models based on EHR trajectories: A systematic reviewAli Amirahmadi, Mattias Ohlsson, Kobra Etminani
Indian Pacing and Electrophysiology Journal|January 19, 2013
Ventricular tachycardia caused by mesothelial cystAli Amirahmadi, Zahra Emkanjoo, Reza Mollazadeh, et al.
Studies in Health Technology and Informatics|May 19, 2023
A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation LearningAli Amirahmadi, Mattias Ohlsson, Kobra Etminani, et al.
JMIR Medical Informatics|June 4, 2025
Trajectory-Ordered Objectives for Self-Supervised Representation Learning of Temporal Healthcare Data Using Transformers: Model Development and Evaluation StudyAli Amirahmadi, Farzaneh Etminani, Jonas Björk, et al.
Anesthesiology and Pain Medicine|March 20, 2015
Mid-Term Patency in Radial Artery and Saphenous Vein After Coronary Artery Bypass Grafting in Asymptomatic Patients Using 128-Slice CT Coronary AngiographyAli Sadeghpour, Hamidreza Pouraliakbar, Rasoul Azarfarin, et al.
Health Science Reports|August 11, 2022
Developing a novel prediction model in opioid overdose using machine learning; a pilot analytical studyEhsan Sakhaee, Ali Amirahmadi, Morteza Mahdiani, et al.
Journal of Biomedical Informatics|February 29, 2024
Graph neural networks for clinical risk prediction based on electronic health records: A surveyHeloísa Oss Boll, Ali Amirahmadi, Mirfarid Musavian Ghazani, et al.
Pageof 1