About
I am a PhD candidate in Computer Science at Concordia University in Montréal, where I have been pursuing advanced research since January 2022. I complemented my academic journey with industry experience as a Research Scientist Intern at Elekta (April 2024 – September 2024), where I developed deep learning-based image registration methods for robust, real-time tissue motion tracking in 2D-Cine MRI-guided radiotherapy.
My work primarily focuses on the foundational developments of deep learning and computer vision algorithms, with specific applications in medical image analysis. In particular, I am interested in developing innovative algorithms that enhance the interpretability and robustness of AI models for healthcare applications.
Contact
Feel free to reach out via email at soorena [dot] salari374 [at] gmail [dot] com or connect with me on professional networks for research discussions and collaborations.
News
- August 2025: DINOMotion got accepted to TBME!
- June 2025: CABLD got accepted at ICCV 2025!
- April 2025: Won the BF2 FRQS fellowship , thanks Gouvernement du Québec!
- March 2025: CABLD is now available on arXiv!
- January 2025: Successfully passed my PhD proposal exam!
- November 2024: One paper got accepted at SPIE Medical Imaging 2025!
- April 2024: Interning at Elekta Montreal!
- November 2023: Successfully passed my PhD comprehensive exam!
- June 2023: Two papers got accepted at MICCAI 2023!
- April 2023: One paper got accepted at IUS 2023!
- February 2023: Won the Best Student Paper Award at SPIE Medical Imaging 2023!
- October 2022: One paper got accepted at SPIE Medical Imaging 2023!
- January 2022: Started PhD in Computer Science at Concordia University.