World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
14541
World Ranking
4727
National Ranking
1354

Research.com Recognitions

  • 2015 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Craig H. Meyer is affiliated with the University of Virginia in the United States. Their research primarily focuses on the field of Medicine, with a significant portion dedicated to Radiology, Nuclear Medicine and Imaging. Other subfields include Atomic and Molecular Physics, and Optics, Biomedical Engineering, Spectroscopy, and Surgery.

The scientist's work covers a range of topics related to medical and imaging technologies. These topics include:

  • Advanced MRI Techniques and Applications
  • Atomic and Subatomic Physics Research
  • Cardiac Imaging and Diagnostics
  • Medical Imaging Techniques and Applications
  • Ultrasound and Hyperthermia Applications
  • Advanced NMR Techniques and Applications
  • Advanced Neuroimaging Techniques and Applications

Meyer has published extensively in several academic venues. Frequent publication outlets include:

  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Magnetic Resonance in Medicine
  • NMR in Biomedicine
  • Magnetic Resonance Imaging
  • Academic Radiology

Recent research papers showcase their contributions to various aspects of medical imaging and computational techniques. Notable papers include:

  • Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features, 2020, Frontiers in Computational Neuroscience
  • Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge, 2022, Medical Image Analysis
  • QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results, 2022, The Journal of Machine Learning for Biomedical Imaging
  • Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping, 2021, Journal of Cardiovascular Magnetic Resonance
  • Comparison between MR and CT imaging used to correct for skull-induced phase aberrations during transcranial focused ultrasound, 2022, Scientific Reports

Meyer often collaborates with other researchers. Frequent co-authors include:

  • Xue Feng
  • John P. Mugler
  • Zhixing Wang
  • Christopher M. Kramer
  • Dou Quan

Among recognitions received, Meyer is a Fellow of the Indian National Academy of Engineering (INAE), awarded in 2015.

Best Publications

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • Selection of a convolution function for Fourier inversion using gridding (computerised tomography application)

    J.I. Jackson;C.H. Meyer;D.G. Nishimura;A. Macovski

  • Fast spiral coronary artery imaging

    Craig H. Meyer;Bob S. Hu;Dwight G. Nishimura;Albert Macovski

  • Simultaneous spatial and spectral selective excitation.

    Meyer Ch;Pauly Jm;Macovski A;Nishimura Dg

  • Coronary angiography with magnetization-prepared T2 contrast.

    Jean H. Brittain;Bob S. Hu;Graham A. Wright;Craig H. Meyer

  • Discrimination of large venous vessels in time-course spiral blood-oxygen-level-dependent magnetic-resonance functional neuroimaging.

    Adrian T. Lee;Gary H. Glover;Craig H. Meyer

  • Relationships of 35 lower limb muscles to height and body mass quantified using MRI

    Geoffrey G. Handsfield;Craig H. Meyer;Joseph M. Hart;Mark F. Abel

  • A homogeneity correction method for magnetic resonance imaging with time-varying gradients

    D.C. Noll;C.H. Meyer;J.M. Pauly;D.G. Nishimura

  • Technology insight: in vivo cell tracking by use of MRI.

    Walter J Rogers;Craig H Meyer;Christopher M Kramer

  • The upper limit of human smooth pursuit velocity.

    Craig H. Meyer;Adrian G. Lasker;David A. Robinson

  • Spiral K‐space MR imaging of cortical activation

    Douglas C. Noll;Douglas C. Noll;Jonathan D. Cohen;Jonathan D. Cohen;Craig H. Meyer;Walter Schneider

  • Deblurring for non-2D Fourier transform magnetic resonance imaging.

    D C Noll;J M Pauly;C H Meyer;D G Nishimura

  • Volumetric spectroscopic imaging with spiral‐based k‐space trajectories

    Elfar Adalsteinsson;Pablo Irarrazabal;Simon Topp;Craig Meyer

  • Real-time motion detection in spiral MRI using navigators

    Todd S. Sachs;Craig H. Meyer;Bob S. Hu;Jim Kohli

  • Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features.

    Xue Feng;Nicholas J. Tustison;Sohil H. Patel;Craig H. Meyer

  • Inhomogeneity correction using an estimated linear field map

    Pablo Irarrazabal;Craig H. Meyer;Dwight G. Nishimura;Albert Macovski

  • A Velocity k-Space Analysis of Flow Effects in Echo-Planar and Spiral Imaging

    Dwight G. Nishimura;Pablo Irarrazabal;Craig H. Meyer

  • Imaging three-dimensional myocardial mechanics using navigator-gated volumetric spiral cine DENSE MRI.

    Xiaodong Zhong;Bruce S. Spottiswoode;Craig H. Meyer;Christopher M. Kramer

  • The diminishing variance algorithm for real-time reduction of motion artifacts in MRI.

    Todd S. Sachs;Craig H. Meyer;Pablo Irarrazabal;Bob S. Hu

  • Magnetic resonance fluoroscopy using spirals with variable sampling densities

    Daniel M. Spielman;John M. Pauly;Craig H. Meyer

Frequent Co-Authors

Christopher M. Kramer
Christopher M. Kramer University of Virginia Health System
Dwight G. Nishimura
Dwight G. Nishimura Stanford University
John M. Pauly
John M. Pauly Stanford University
Max Wintermark
Max Wintermark Stanford University
Arthur Weltman
Arthur Weltman University of Virginia
Kim Butts Pauly
Kim Butts Pauly Stanford University
Alexander L. Klibanov
Alexander L. Klibanov University of Virginia
Jason P. Sheehan
Jason P. Sheehan University of Virginia
Krishna S. Nayak
Krishna S. Nayak University of Southern California
Douglas C. Noll
Douglas C. Noll University of Michigan–Ann Arbor

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