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Texture and motion aware perception in-loop filter for AV1

Precise and Rapid Whole-Head Segmentation from Magnetic Resonance Images of Older Adults using Deep Learning

Ethnic disparity in diagnosing asymptomatic bacterial vaginosis using machine learning

Ruogu Fang is a tenured associate professor and Pruitt Family Endowed Faculty Fellow in the J. Crayton Pruitt Family Department of Biomedical Engineering. Her research revolves around the integration of artificial intelligence (AI) and deep learning with the intricacies of the human brain. Her research encompasses two principal themes: AI-empowered precision brain health and brain/bio-inspired AI. Her work involves addressing compelling questions, such as using machine learning techniques to quantify brain dynamics, facilitating early Alzheimer's disease diagnosis through novel imagery, predicting personalized treatment outcomes, designing precision interventions, and leveraging principles from neuroscience to develop the next generation of AI. Fang's current research is also rooted in the confluence of AI and multimodal medical image analysis. At the heart of her work is the Smart Medical Informatics Learning and Evaluation (SMILE) lab, where she is tirelessly dedicated to the creation of groundbreaking brain and neuroscience-inspired medical AI and deep learning models. The primary objective of these models is to comprehend, diagnose, and treat brain disorders, all while navigating the complexities of extensive and intricate datasets.

Brain Informatics

Neuroimaging

Precision Intervention

Deep Learning

Medical Image Analysis

Artificial Intelligence

Big Medical Data

Neurodegenerative Disease Diagnosis

Machine Learning

Big Data Analytics

English

Faculty Page

SMILE Fang Lab

Personal Web Page

Saluting the trailblazers: Academy of Science, Engineering and Medicine of Florida names honorees from UF

UF Health Cancer Center hosts 3rd annual AI Day

Our eyes may provide early warning signs of Alzheimer’s and Parkinson’s

Scientists Are Looking Into The Eyes Of Patients To Diagnose Parkinson’s Disease

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Ruogu Fang

Associate Professor | Associate Director

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