Hi there 👋, My name is Sina Ghorbani, a deep learning developer and researcher! Feel free to contact me if you are eager to discuss with me on deep learning and computer vision research and development topics.
I am a detail-oriented health systems engineer with two years of experience in deep learning projects and researches focused on medical imaging. I have a proven track record in research growth and aims to further my studies. Publication are recorded in BMVC, WACV, MedIA, etc. My current research interests include computer vision, multi-modal understanding, long-range modeling, and deep generative models.
• Remote Research Assistant, RWTH Aachen University, Germany (2023-Present)
- Worked on medical image processing and understanding, particularly on the semantic segmentation task. Currently, I am working on leveraging State Space Models and refining high frequency components in wavelet-based efficient vision transformer in medical image segmentation. results are published and submmited in: (BMVC, WACV)
• Remote Research Assistant, University of Regensburg, Germany (2024-Present)
- I am Working on leveraging Score-based and Physics-inspired Generative models inverse problems (with a particular focus on Diffusion Models) for CT and MRI reconstruction and segmentation.
• Dorit Merhof, RWTH, Germany (German research chair on Medical Image Analysis) since 2023 • Ilker Hacihaliloglu, UBC, Canada (Department of Radiology, Department of Medicine.) since 2023 • Ulas Bagci, Northwestern University, USA (Department of Radiology) since 2024
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