Scholar
Soorena Salari
Google Scholar ID: udbW6OcAAAAJ
PhD Candidate, Concordia University, Canada
Citations & Impact
Citations
543
H-index
8
i10-index
5
Publications
16
Co-authors
6
list available
Publications
Resume (English only)
Academic Achievements
- - DINOMotion accepted by TBME.
- - CABLD accepted at ICCV 2025.
- - Won the BF2 FRQS fellowship.
- - CABLD available on arXiv.
- - Successfully passed the PhD proposal exam.
- - One paper accepted at SPIE Medical Imaging 2025.
- - Interned at Elekta Montreal.
- - Passed the PhD comprehensive exam.
- - Two papers accepted at MICCAI 2023.
- - One paper accepted at IUS 2023.
- - Won Best Student Paper Award at SPIE Medical Imaging 2023.
- - One paper accepted at SPIE Medical Imaging 2023.
Research Experience
- - Worked as a Research Scientist Intern at Elekta (April 2024 – September 2024), developing deep learning-based image registration methods for real-time tissue motion tracking in 2D-Cine MRI-guided radiotherapy.
Education
- Pursuing a PhD in Computer Science at Concordia University, Montreal since January 2022.
Background
- PhD candidate in Computer Science at Concordia University, Montreal. Focuses on the foundational developments of deep learning and computer vision algorithms, especially in medical image analysis. Aims to develop innovative algorithms that enhance the interpretability and robustness of AI models for healthcare applications.
Miscellany
- Feel free to reach out via email at soorena [dot] salari374 [at] gmail [dot] com or connect on professional networks for research discussions and collaborations.
