A5022656373- Obstructive Sleep Apnea Research
- Remote-Sensing Image Classification
- Video Surveillance and Tracking Methods
- Automated Road and Building Extraction
- Sleep and related disorders
- Nanomaterials for catalytic reactions
- Nanocluster Synthesis and Applications
- Animal Disease Management and Epidemiology
- Animal Virus Infections Studies
- Advanced Nanomaterials in Catalysis
- Viral gastroenteritis research and epidemiology
- Mobile Health and mHealth Applications
University of Minnesota
2018-2021
Twin Cities Orthopedics
2018-2019
Building footprints are among the most predominant features in urban areas, and provide valuable information for planning, solar energy suitability analysis, etc. We aim to automatically rapidly identify building by leveraging deep learning techniques increased availability of remote sensing datasets at high spatial resolution. The task is computationally challenging due use large training number parameters. In related work, You-Only-Look-Once (YOLO) a state-of-the-art framework object...
Given remote sensing datasets in a spatial domain, we aim to detect geospatial objects with minimum bounding rectangles (i.e., angle-aware) leveraging deep learning frameworks. Geospatial (e.g., buildings, vehicles, farms) provide meaningful information for variety of societal applications, including urban planning, census, sustainable development, security surveillance, agricultural management, etc. The detection these are challenging because their directions often heavily mixed and not...
Sleep apnea is a growing problem in the country, with over 200,000 new cases being identified each year. Continuous positive airway pressure (CPAP) best treatment for obstructive sleep (OSA), but limited by low adherence to treatment. Fairview's program actively tracks CPAP usage and outcomes employs tele-health coaching improve adherence. This labor-intensive protocol applied those who are failing meet early targets. However, implementation of this based on heuristic rules which may not be...
CPAP is the optimal treatment for obstructive sleep apnea, but limited by low adherence. Fairview’s program actively tracks PAP usage and outcomes employs tele-health coaching to improve This approach has achieved 6-month adherence rates of 71%. However, this protocol applied uniformly labor-intensive, reaching some patients belatedly contacting others unnecessarily. Machine learning can facilitate efficient contact strategies through early identification therapy trajectories. We constructed...