معرفی
Amir Jabbarpour is a Researcher affiliated with the Department of Physics at Carleton University, within the Faculty of Science. His work focuses on advancing medical imaging technologies through artificial intelligence and machine learning. Key research areas include pulmonary embolism detection via V/Q scintigraphy, deep learning segmentation, and image enhancement techniques.
His contributions span both technical innovations (e.g., AI-annotated databases, U-Net models) and methodological advancements (e.g., spatial normalization strategies, crowdsource annotation workflows). Recent studies address challenges in image resizing effects, unsupervised PET correction, and pseudo-CT generation for radiotherapy.
Jabbarpour's publications (2022-2025) reflect a strong emphasis on bridging AI capabilities with clinical imaging needs, particularly in pulmonary and oncological applications. No awards or grants are explicitly mentioned in the provided materials.
