2016 - Fellow of the Indian National Academy of Engineering (INAE)
2014 - IEEE Fellow For contributions to automatic analysis and interpretation of biomedical multi-dimensional data
Christos Davatzikos mainly investigates Artificial intelligence, Computer vision, Magnetic resonance imaging, Pattern recognition and Atrophy. His is involved in several facets of Artificial intelligence study, as is seen by his studies on Image processing, Segmentation, Image registration, Image warping and Image segmentation. He has researched Magnetic resonance imaging in several fields, including Young adult, Longitudinal study, Prospective cohort study and Audiology.
His work carried out in the field of Pattern recognition brings together such families of science as Voxel and Feature. His biological study spans a wide range of topics, including Alzheimer's disease and Dementia, Cognitive decline. His research in Pathology focuses on subjects like White matter, which are connected to Neuroimaging and Parietal lobe.
Christos Davatzikos spends much of his time researching Artificial intelligence, Magnetic resonance imaging, Pattern recognition, Computer vision and Neuroimaging. His studies link Machine learning with Artificial intelligence. His Magnetic resonance imaging research is multidisciplinary, incorporating elements of Internal medicine, Glioblastoma, Audiology and Pathology.
His work deals with themes such as White matter and Endocrinology, which intersect with Internal medicine. His Pattern recognition research is multidisciplinary, relying on both Contextual image classification and Transformation. Neuroimaging is a subfield of Neuroscience that Christos Davatzikos investigates.
The scientist’s investigation covers issues in Artificial intelligence, Neuroimaging, Internal medicine, White matter and Magnetic resonance imaging. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Pattern recognition. His Neuroimaging study is associated with Neuroscience.
His study in Internal medicine is interdisciplinary in nature, drawing from both Oncology, Brain size and Cardiology. His studies deal with areas such as Hyperintensity and Cognition as well as White matter. His research investigates the link between Magnetic resonance imaging and topics such as Glioblastoma that cross with problems in Radiology, Radiomics and Brain tumor.
His main research concerns Neuroimaging, Artificial intelligence, Internal medicine, White matter and Brain size. His research in Neuroimaging intersects with topics in Noise, Functional magnetic resonance imaging, Magnetic resonance imaging, Disease and Scanner. Christos Davatzikos works on Magnetic resonance imaging which deals in particular with Diffusion MRI.
His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning, Glioma and Pattern recognition. His Internal medicine research incorporates elements of Oncology and Cardiology. Christos Davatzikos has included themes like Hyperintensity and Atrophy in his Dementia study.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain
Susan M. Resnick;Dzung L. Pham;Michael A. Kraut;Alan B. Zonderman.
The Journal of Neuroscience (2003)
Deformable Medical Image Registration: A Survey
A. Sotiras;C. Davatzikos;N. Paragios.
IEEE Transactions on Medical Imaging (2013)
HAMMER: hierarchical attribute matching mechanism for elastic registration
Dinggang Shen;C. Davatzikos.
IEEE Transactions on Medical Imaging (2002)
Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features
Spyridon Bakas;Hamed Akbari;Aristeidis Sotiras;Michel Bilello.
Scientific Data (2017)
Measurement of radiotracer concentration in brain gray matter using positron emission tomography: MRI-based correction for partial volume effects.
Hans W. Müller-Gärtner;Jonathan M. Links;Jerry L. Prince;R. Nick Bryan.
Journal of Cerebral Blood Flow and Metabolism (1992)
Imaging cortical association tracts in the human brain using diffusion-tensor-based axonal tracking.
Susumu Mori;Walter E. Kaufmann;Christos Davatzikos;Bram Stieltjes.
Magnetic Resonance in Medicine (2002)
Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme.
Evangelia I. Zacharaki;Evangelia I. Zacharaki;Sumei Wang;Sanjeev Chawla;Dong Soo Yoo;Dong Soo Yoo.
Magnetic Resonance in Medicine (2009)
One-year Age Changes in MRI Brain Volumes in Older Adults
Susan M. Resnick;Alberto F. Goldszal;Christos Davatzikos;Stephanie Golski.
Cerebral Cortex (2000)
Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI
Chandan Misra;Yong Fan;Christos Davatzikos.
Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification.
Christos Davatzikos;Priyanka Bhatt;Leslie M. Shaw;Kayhan N. Batmanghelich.
Neurobiology of Aging (2011)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: