H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 80 Citations 24,685 333 World Ranking 418 National Ranking 248
Medicine D-index 87 Citations 31,402 398 World Ranking 6755 National Ranking 3717

Research.com Recognitions

Awards & Achievements

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Internal medicine
  • Statistics

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.

His most cited work include:

  • Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain (1072 citations)
  • HAMMER: hierarchical attribute matching mechanism for elastic registration (934 citations)
  • Deformable Medical Image Registration: A Survey (926 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Artificial intelligence (39.39%)
  • Magnetic resonance imaging (19.56%)
  • Pattern recognition (19.56%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (39.39%)
  • Neuroimaging (14.05%)
  • Internal medicine (13.50%)

In recent papers he was focusing on the following fields of study:

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.

Between 2018 and 2021, his most popular works were:

  • The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping (376 citations)
  • Effect of Intensive vs Standard Blood Pressure Control on Probable Dementia: A Randomized Clinical Trial. (303 citations)
  • Association of Intensive vs Standard Blood Pressure Control With Cerebral White Matter Lesions. (90 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Internal medicine
  • Statistics

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.

Best Publications

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)

1470 Citations

Deformable Medical Image Registration: A Survey

A. Sotiras;C. Davatzikos;N. Paragios.
IEEE Transactions on Medical Imaging (2013)

1319 Citations

HAMMER: hierarchical attribute matching mechanism for elastic registration

Dinggang Shen;C. Davatzikos.
IEEE Transactions on Medical Imaging (2002)

1128 Citations

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)

835 Citations

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)

721 Citations

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)

638 Citations

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)

619 Citations

One-year Age Changes in MRI Brain Volumes in Older Adults

Susan M. Resnick;Alberto F. Goldszal;Christos Davatzikos;Stephanie Golski.
Cerebral Cortex (2000)

579 Citations

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.
NeuroImage (2009)

550 Citations

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)

533 Citations

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