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Dr. Craig Abbey investigates visual tasks performed using medical or scientific images, and how task performance may be influenced by engineering parameters such as image processing or display. This area of research involves mathematical modeling of image properties and the human visual system as well as experimental work to validate these models in psychophysical studies. Results of this work are useful for better elucidating fundamental mechanisms of perception in the presence of stochastic variability and have applications to medical image processing and analysis.
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Medical Imaging 2024: Image Perception, Observer Performance, and Technology Assessment (2024)
Medical Imaging 2024: Image Perception, Observer Performance, and Technology Assessment (2024)
Muhan Shao, Jhimli Mitra,Darrin W. Byrd,Craig Abbey, Fatemeh Behnia, Jean H. Lee, Amir Iravani, Murat Sadic, Delphine L. Chen,Paul E. Kinahan,Sangtae Ahn
Medical Imaging 2024: Image Perception, Observer Performance, and Technology Assessment (2024)
Medical Imaging 2024: Image Perception, Observer Performance, and Technology Assessment (2024)
MEDICAL PHYSICSno. 2 (2024): 933-945
Medical Imaging 2024: Image Perception, Observer Performance, and Technology Assessment (2024)
Medical Imaging 2024: Image Perception, Observer Performance, and Technology Assessment (2024)
ArXiv (2023)
arXiv (Cornell University) (2023)
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