Faculty profile
Javad Alirezaie
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Toronto Metropolitan University directory, so their courses may be missing. Find their university profile.
Latest papers
SADiff: A Sinogram-Aware Diffusion Model for Low-Dose CT Image Denoising.
Journal of imaging informatics in medicine · 2025 · senior author
Pure Vision Transformer (CT-ViT) with Noise2Neighbors Interpolation for Low-Dose CT Image Denoising.
Journal of imaging informatics in medicine · 2024 · senior author
Deep Learning for Low-Dose CT Denoising Using Perceptual Loss and Edge Detection Layer.
Journal of digital imaging · 2020
Latest funding
- $25,000
Machine Learning for Nodule Localization During Video-Assisted Thoracoscopic Surgery
NSERC · 2024 · Principal investigator
- $25,000
Deep4D-Radar utilizing Artificial Intelligence and Machine Learning
NSERC · 2022 · Principal investigator
- $168,000
Sparse Coding and Auto-encoders for Advanced and Robust Processing of Biomedical Images
NSERC · 2020 · Principal investigator
15 publications.
SADiff: A Sinogram-Aware Diffusion Model for Low-Dose CT Image Denoising.
Niknejad Mazandarani F, Babyn P, Alirezaie J
Pure Vision Transformer (CT-ViT) with Noise2Neighbors Interpolation for Low-Dose CT Image Denoising.
Marcos L, Babyn P, Alirezaie J
Deep Learning for Low-Dose CT Denoising Using Perceptual Loss and Edge Detection Layer.
Gholizadeh-Ansari M, Alirezaie J, Babyn P
Transesophageal 2D ultrasound to 3D computed tomography registration for the guidance of a cardiac arrhythmia therapy.
Sandoval Z, Castro M, Alirezaie J, Bessière F, Lafon C, Dillenseger JL
Nonrigid motion compensation in compressed sensing reconstruction of cardiac cine MRI.
Tolouee A, Alirezaie J, Babyn P
Motion-compensated data decomposition algorithm to accelerate dynamic cardiac MRI.
Tolouee A, Alirezaie J, Babyn P
A dictionary learning approach for human sperm heads classification.
Shaker F, Monadjemi SA, Alirezaie J, Naghsh-Nilchi AR
Compressed sensing reconstruction of cardiac cine MRI using golden angle spiral trajectories.
Tolouee A, Alirezaie J, Babyn P
Estimation of intraoperative brain shift by combination of stereovision and doppler ultrasound: phantom and animal model study.
Mohammadi A, Ahmadian A, Azar AD, Sheykh AD, Amiri F, Alirezaie J
Hybrid-controlled neurofuzzy networks analysis resulting in genetic regulatory networks reconstruction.
Manshaei R, Sobhe Bidari P, Aliyari Shoorehdeli M, Feizi A, Lohrasebi T, Malboobi MA, Kyan M, Alirezaie J
Machine Learning for Nodule Localization During Video-Assisted Thoracoscopic Surgery
Principal investigators: Alirezaie, Javad
Keywords: Biomedical engineering; Information systems and technology
Deep4D-Radar utilizing Artificial Intelligence and Machine Learning
Principal investigators: Alirezaie, Javad SMJ
Sparse Coding and Auto-encoders for Advanced and Robust Processing of Biomedical Images
Principal investigators: Alirezaie, Javad
Keywords: digital signal and image processing; sparse coding; deep learning; compressed sensing; cardiac cine magnetic resonance imaging; image denoising; motion estimation; image enhancement; convolution neural network; low-dose ct imaging
Novel methods and applications in Computer Aided Medical Diagnosis
Principal investigators: Alirezaie, Javad
Development of computer-aided diagnostic schemes for radiologic images
Principal investigators: Alirezaie, Javad
Computer vision and image processing laboratory
Principal investigators: Alirezaie, Javad
Three-dimensional visualization and segmentation of multispectral medical images
Principal investigators: Alirezaie, Javad
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Paul Babyn and Javad Alirezaie: 6 shared papers
- Matthew Kyan and Javad Alirezaie: 1 shared paper
- Electrical, Computer and Biomedical Engineering
- Electrical Engineering and Computer Science
- Other
Co-authors at Toronto Metropolitan University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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