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Neuroscience

D-Index
55
Citations
28256
World Ranking
4611
National Ranking
2080

Overview

Daniel S. Marcus is affiliated with Washington University in St. Louis in the United States. Their primary field of study is Medicine, with a significant focus on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Psychiatry and Mental Health, Computer Vision and Pattern Recognition, and Neurology.

The researcher has contributed extensively to topics such as Radiomics and Machine Learning in Medical Imaging, Dementia and Cognitive Impairment Research, Functional Brain Connectivity Studies, Medical Image Segmentation Techniques, Alzheimer's Disease Research and Treatments, Brain Tumor Detection and Classification, and Medical Imaging Techniques and Applications.

Some of the notable recent publications include:

  • Federated learning enables big data for rare cancer boundary detection, 2022, Nature Communications
  • A deep learning framework identifies dimensional representations of Alzheimer's Disease from brain structure, 2021, Nature Communications
  • Amyloid and Tau Pathology Associations With Personality Traits, Neuropsychiatric Symptoms, and Cognitive Lifestyle in the Preclinical Phases of Sporadic and Autosomal Dominant Alzheimer's Disease, 2020, Biological Psychiatry
  • MRI-based Identification and Classification of Major Intracranial Tumor Types by Using a 3D Convolutional Neural Network: A Retrospective Multi-institutional Analysis, 2021, Radiology Artificial Intelligence
  • Mapping language function with task-based vs. resting-state functional MRI, 2020, PLoS ONE

Frequent co-authors include:

  • Aristeidis Sotiras
  • Pamela LaMontagne
  • John C. Morris
  • Tammie L.S. Benzinger
  • Christos Davatzikos

Their work has appeared often in the following publication venues:

  • arXiv (Cornell University)
  • Alzheimer's & Dementia
  • Nature Communications
  • SSRN Electronic Journal
  • bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

  • Clinical and Biomarker Changes in Dominantly Inherited Alzheimer’s Disease

    Randall J. Bateman;Chengjie Xiong;Tammie L.S. Benzinger;Anne M. Fagan

  • The Human Connectome Project: A data acquisition perspective

    D. C. Van Essen;Kamil Ugurbil;Edward J Auerbach

  • Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults

    Daniel S. Marcus;Tracy H. Wang;Jamie Parker;John G. Csernansky

  • A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume.

    Randy L. Buckner;Denise Head;Denise Head;Jamie Parker;Jamie Parker;Anthony F. Fotenos

  • 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

  • The Human Connectome Project's neuroimaging approach

    Matthew F Glasser;Stephen M Smith;Daniel S Marcus;Jesper L R Andersson

  • Serum neurofilament dynamics predicts neurodegeneration and clinical progression in presymptomatic Alzheimer’s disease

    Oliver Preische;Oliver Preische;Stephanie A. Schultz;Anja Apel;Anja Apel;Jens Kuhle

  • Informatics and data mining tools and strategies for the human connectome project.

    Daniel S. Marcus;John W. Harwell;Timothy R. Olsen;Michael R. Hodge

  • OASIS-3: Longitudinal Neuroimaging, Clinical, and Cognitive Dataset for Normal Aging and Alzheimer Disease

    Pamela J. LaMontagne;Tammie Ls. Benzinger;John C. Morris;Sarah Keefe

  • Open access series of imaging studies: Longitudinal mri data in nondemented and demented older adults

    Daniel S. Marcus;Anthony F. Fotenos;John G. Csernansky;John C. Morris

  • The Extensible Neuroimaging Archive Toolkit: an informatics platform for managing, exploring, and sharing neuroimaging data.

    Daniel S. Marcus;Timothy R. Olsen;Mohana Ramaratnam;Randy L. Buckner

  • Spatial patterns of neuroimaging biomarker change in individuals from families with autosomal dominant Alzheimer's disease: a longitudinal study

    Brian A Gordon;Tyler M Blazey;Yi Su;Amrita Hari-Raj

  • White Matter Hyperintensities Are a Core Feature of Alzheimer's Disease: Evidence from the Dominantly Inherited Alzheimer Network

    Seonjoo Lee;Fawad Viqar;Fawad Viqar;Molly E. Zimmerman;Molly E. Zimmerman;Atul Narkhede

  • 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

  • CLINICAL AND BIOMARKER CHANGES IN DOMINANTLY INHERITED ALZHEIMER'S DISEASE

    PR Schofield;RJ Bateman;C Xiong;Tls Benzinger

  • Human Connectome Project informatics: quality control, database services, and data visualization.

    Daniel S Marcus;Michael P Harms;Abraham Z Snyder;Mark Jenkinson

  • Cerebrospinal fluid tau and ptau181 increase with cortical amyloid deposition in cognitively normal individuals: Implications for future clinical trials of Alzheimer's disease

    Anne M. Fagan;Mark A. Mintun;Aarti R. Shah;Patricia Aldea

  • Longitudinal change in CSF biomarkers in autosomal-dominant Alzheimer's disease.

    Anne M. Fagan;Chengjie Xiong;Mateusz S. Jasielec;Randall J. Bateman

  • Regional variability of imaging biomarkers in autosomal dominant Alzheimer’s disease

    Tammie L. S. Benzinger;Tyler Blazey;Clifford R. Jack;Robert A. Koeppe

  • Decreased cerebrospinal fluid Abeta(42) correlates with brain atrophy in cognitively normal elderly.

    Anne M. Fagan;Denise Head;Aarti R. Shah;Daniel Marcus

  • White matter hyperintensities are a core feature of Alzheimer's disease: Evidence from the dominantly inherited Alzheimer network

    Seonjoo Lee;Fawad Viqar;Molly E. Zimmerman;Atul Narkhede

Frequent Co-Authors

John C. Morris
John C. Morris Washington University in St. Louis
Tammie L.S. Benzinger
Tammie L.S. Benzinger Washington University in St. Louis
Randall J. Bateman
Randall J. Bateman Washington University in St. Louis
Peter R. Schofield
Peter R. Schofield Neuroscience Research Australia
Alison Goate
Alison Goate Icahn School of Medicine at Mount Sinai
Reisa A. Sperling
Reisa A. Sperling Brigham and Women's Hospital
Clifford R. Jack
Clifford R. Jack Mayo Clinic
Martin N. Rossor
Martin N. Rossor University College London
Paul M. Thompson
Paul M. Thompson University of Southern California
David M. Holtzman
David M. Holtzman Washington University in St. Louis

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Related Online Degrees & Career Pathways

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