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Neuroscience

D-Index
80
Citations
37779
World Ranking
1597
National Ranking
783

Overview

Douglas N. Greve is affiliated with Harvard University in the United States. Their research primarily focuses on the fields of Medicine and Neuroscience, with significant contributions to subfields including Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Psychiatry and Mental Health, and Neurology.

The scientist has authored numerous papers that highlight advanced techniques in neuroimaging and medical image analysis. Recent publications include:

  • SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining (2023, Medical Image Analysis)
  • A high-resolution in vivo atlas of the human brain's benzodiazepine binding site of GABAA receptors (2021, NeuroImage)
  • Deep grey matter injury in multiple sclerosis: a NAIMS consensus statement (2021, Brain)
  • Using diffusion MRI data acquired with ultra-high gradient strength to improve tractography in routine-quality data (2021, NeuroImage)
  • A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images (2021, NeuroImage)

The scientist has published extensively in venues such as arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), NeuroImage, UNC Libraries, and Medical Image Analysis.

Frequent co-authors collaborating with Douglas N. Greve include Juan Eugenio Iglesias, Bruce Fischl, Koen Van Leemput, Adrian V. Dalca, and Jean C. Augustinack. These collaborations reflect a network of research partners contributing to advancements in neuroimaging and related disciplines.

The research topics most commonly addressed by Douglas N. Greve cover a range of advanced neuroimaging and computational techniques, including:

  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Medical Imaging Techniques and Applications
  • Medical Image Segmentation Techniques
  • Advanced Neural Network Applications
  • Radiomics and Machine Learning in Medical Imaging

Douglas N. Greve's work integrates advanced imaging methodologies with computational approaches such as deep learning and machine learning to support medical image segmentation and analysis of brain structure and function. Their research has facilitated improved understanding and processing of MRI data across varying contrasts and resolutions without the need for retraining models on new datasets.

Best Publications

  • Accurate and robust brain image alignment using boundary-based registration.

    Douglas N. Greve;Bruce Fischl

  • Meditation experience is associated with increased cortical thickness

    Sara W. Lazar;Catherine E. Kerr;Rachel H. Wasserman;Jeremy R. Gray

  • Thinning of the cerebral cortex in aging

    David H. Salat;Randy L. Buckner;Randy L. Buckner;Abraham Z. Snyder;Douglas N. Greve

  • Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data

    Jorge Jovicich;Silvester Czanner;Douglas N. Greve;Elizabeth Haley

  • Dorsal anterior cingulate cortex: A role in reward-based decision making

    George Bush;Brent A. Vogt;Jennifer Holmes;Anders M. Dale

  • The Cortical Signature of Alzheimer's Disease: Regionally Specific Cortical Thinning Relates to Symptom Severity in Very Mild to Mild AD Dementia and is Detectable in Asymptomatic Amyloid-Positive Individuals

    Bradford C. Dickerson;Akram Bakkour;David H. Salat;Eric Feczko

  • Increased hippocampal activation in mild cognitive impairment compared to normal aging and AD

    B. C. Dickerson;D. H. Salat;D. N. Greve;E. F. Chua

  • Age-related alterations in white matter microstructure measured by diffusion tensor imaging.

    D.H. Salat;D.S. Tuch;D.N. Greve;A.J.W. van der Kouwe

  • Common genetic variants influence human subcortical brain structures.

    Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez

  • High Consistency of Regional Cortical Thinning in Aging across Multiple Samples

    Anders M. Fjell;Lars T. Westlye;Inge Amlien;Thomas Espeseth

  • Medial temporal lobe function and structure in mild cognitive impairment

    Bradford C. Dickerson;David H. Salat;Julianna F. Bates;Monika Atiya

  • Consistent neuroanatomical age-related volume differences across multiple samples.

    Kristine B. Walhovd;Lars T. Westlye;Inge Amlien;Thomas Espeseth

  • Cortical Mechanisms Specific to Explicit Visual Object Recognition

    Moshe Bar;Roger B.H Tootell;Daniel L Schacter;Doug N Greve

  • Cerebral cortex and the clinical expression of Huntington's disease: complexity and heterogeneity.

    H. Diana Rosas;David H. Salat;Stephanie Y. Lee;Alexandra K. Zaleta

  • Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects

    Michael P. Harms;Leah H. Somerville;Beau M. Ances;Jesper Andersson

  • Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer's disease

    Rahul S. Desikan;Rahul S. Desikan;Howard J. Cabral;Christopher P. Hess;William P. Dillon

  • Laminar analysis of 7 T BOLD using an imposed spatial activation pattern in human V1

    Jonathan R. Polimeni;Bruce Fischl;Bruce Fischl;Douglas N. Greve;Lawrence L. Wald;Lawrence L. Wald

  • A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology.

    Juan Eugenio Iglesias;Ricardo Insausti;Garikoitz Lerma-Usabiaga;Martina Bocchetta

  • Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models.

    Jorge L. Bernal-Rusiel;Douglas N. Greve;Martin Reuter;Bruce Fischl

  • The Lifespan Human Connectome Project in Aging: An overview.

    Susan Y. Bookheimer;David H. Salat;Melissa Terpstra;Beau M. Ances

  • Working memory and DLPFC inefficiency in schizophrenia: The FBIRN study

    S. G. Potkin;J. A. Turner;G. G. Brown;G. McCarthy

Frequent Co-Authors

Bruce Fischl
Bruce Fischl Harvard University
Anders M. Dale
Anders M. Dale J. Craig Venter Institute
Jessica A. Turner
Jessica A. Turner The Ohio State University
Vince D. Calhoun
Vince D. Calhoun Georgia State University
Daniel H. Mathalon
Daniel H. Mathalon University of California, San Francisco
Randy L. Buckner
Randy L. Buckner Harvard University
Reisa A. Sperling
Reisa A. Sperling Brigham and Women's Hospital
Gary H. Glover
Gary H. Glover Stanford University
Randy L. Gollub
Randy L. Gollub Harvard Medical School
Gregory G. Brown
Gregory G. Brown University of California, San Diego

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