59 citations · 222 across the 12 of their papers we have counts for
5 papers · 1 filter
Enhancement of Retinal Fundus Images via Pixel Color Amplification
Alex Gaudio, Asim Smailagic, Aurélio Campilho
We propose a pixel color amplification theory and family of enhancement methods to facilitate segmentation tasks on retinal images. Our novel re-interpretation of the image distort…
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning
Qiqi Xiao, Jiaxu Zou, Muqiao Yang +5
Diabetic Retinopathy (DR) is a leading cause of blindness in working age adults. DR lesions can be challenging to identify in fundus images, and automatic DR detection systems can…
Learned Pre-Processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images
Asim Smailagic, Anupma Sharan, Pedro Costa +3
Diabetic Retinopathy is the leading cause of blindness in the working-age population of the world. The main aim of this paper is to improve the accuracy of Diabetic Retinopathy det…
Designing Personalized Interaction of a Socially Assistive Robot for Stroke Rehabilitation Therapy
Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic +2
The research of a socially assistive robot has a potential to augment and assist physical therapy sessions for patients with neurological and musculoskeletal problems (e.g. stroke)…
Opportunities of a Machine Learning-based Decision Support System for Stroke Rehabilitation Assessment
Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic +2
Rehabilitation assessment is critical to determine an adequate intervention for a patient. However, the current practices of assessment mainly rely on therapist's experience, and a…