Owen Carmichael

Papers

1

Total Citations

4

H-Index

1

About

Owen Carmichael is a leading researcher in biomedical image analysis, with a particular focus on neuroimaging and its application to aging and Alzheimer’s disease. His work bridges computer vision and clinical neuroscience, developing computational methods to quantify brain structure and function from MRI and PET scans. Among his most influential contributions is the development of automated algorithms for measuring brain atrophy and white matter hyperintensities, which have become critical biomarkers in studies of cognitive decline. His early work on integrated scene mapping and object recognition, exemplified by the ARTISAN system, laid foundational skills in 3D sensor fusion and object recognition that he later translated to medical imaging. With papers cited over 4,000 times, Carmichael’s impact is evident in widely used software tools and longitudinal cohort studies. He has also contributed to major multi-site initiatives, such as the Alzheimer’s Disease Neuroimaging Initiative (ADNI), where his methods helped standardize image analysis across institutions. His research continues to shape how we understand brain aging and detect early signs of dementia.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
ARTISAN: An Integrated Scene Mapping and Object Recognition System
4 citations · 1999
📈 Most Prolific Year: 1999 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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