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Alireza Hokmabadi

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

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Medical Image Analysis|November 9, 2021
A probabilistic deep motion model for unsupervised cardiac shape anomaly assessmentArezoo Zakeri, Alireza Hokmabadi, Nishant Ravikumar, et al.
Computer Methods and Programs in Biomedicine|April 11, 2024
4D-Precise: Learning-based 3D motion estimation and high temporal resolution 4DCT reconstruction from treatment 2D+t X-ray projectionsArezoo Zakeri, Alireza Hokmabadi, Michael G Nix, et al.
International Journal of Computer Assisted Radiology and Surgery|May 13, 2026
Deep-Motion-Net: GNN-based volumetric liver shape reconstruction from single-view 2D projectionsIsuru Wijesinghe, Michael Nix, Arezoo Zakeri, et al.
Medical Image Analysis|November 20, 2022
DragNet: Learning-based deformable registration for realistic cardiac MR sequence generation from a single frameArezoo Zakeri, Alireza Hokmabadi, Ning Bi, et al.
European Journal of Radiology Open|June 8, 2026
Airway segmentation on CT - A systematic review of machine learning toolsNada Lsloum, Ahmed Maiter, Turki Alnasser, et al.
Diagnostics (Basel, Switzerland)|March 14, 2026
A Novel Fully Automated Deep Learning Model for Coronary Artery Calcification Detection on Computed TomographyTurki Nasser Alnasser, Alireza Hokmabadi, Michael J Sharkey, et al.
The Lancet. Digital Health|February 16, 2026
Large language models for simplifying radiology reports: a systematic review and meta-analysis of patient, public, and clinician evaluationsSamer Alabed, Abigail Anderson, Ahmed Maiter, et al.
European Heart Journal. Digital Health|January 23, 2026
A fully automated explainable predictive model for diagnosing pre-capillary and post-capillary pulmonary hypertension on routine unenhanced CT: results from the ASPIRE registryTurki Nasser Alnasser, Alireza Hokmabadi, Elliot W Checkley, et al.
Pageof 1

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

Sort By:
Pageof 1
Medical Image Analysis|November 9, 2021
A probabilistic deep motion model for unsupervised cardiac shape anomaly assessmentArezoo Zakeri, Alireza Hokmabadi, Nishant Ravikumar, et al.
Computer Methods and Programs in Biomedicine|April 11, 2024
4D-Precise: Learning-based 3D motion estimation and high temporal resolution 4DCT reconstruction from treatment 2D+t X-ray projectionsArezoo Zakeri, Alireza Hokmabadi, Michael G Nix, et al.
International Journal of Computer Assisted Radiology and Surgery|May 13, 2026
Deep-Motion-Net: GNN-based volumetric liver shape reconstruction from single-view 2D projectionsIsuru Wijesinghe, Michael Nix, Arezoo Zakeri, et al.
Medical Image Analysis|November 20, 2022
DragNet: Learning-based deformable registration for realistic cardiac MR sequence generation from a single frameArezoo Zakeri, Alireza Hokmabadi, Ning Bi, et al.
European Journal of Radiology Open|June 8, 2026
Airway segmentation on CT - A systematic review of machine learning toolsNada Lsloum, Ahmed Maiter, Turki Alnasser, et al.
Diagnostics (Basel, Switzerland)|March 14, 2026
A Novel Fully Automated Deep Learning Model for Coronary Artery Calcification Detection on Computed TomographyTurki Nasser Alnasser, Alireza Hokmabadi, Michael J Sharkey, et al.
The Lancet. Digital Health|February 16, 2026
Large language models for simplifying radiology reports: a systematic review and meta-analysis of patient, public, and clinician evaluationsSamer Alabed, Abigail Anderson, Ahmed Maiter, et al.
European Heart Journal. Digital Health|January 23, 2026
A fully automated explainable predictive model for diagnosing pre-capillary and post-capillary pulmonary hypertension on routine unenhanced CT: results from the ASPIRE registryTurki Nasser Alnasser, Alireza Hokmabadi, Elliot W Checkley, et al.
Pageof 1