Daniel S. Marcus
Radiology, Nuclear Medicine and Imaging · 2004–2019
A researcher in the Science corpus: 12 papers; trusts 10 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 130 citations into it; #1,034 of 3,265 by trust here, #181 by citations
- Cognitive Neuroscience — 124 citations into it; #3,900 of 10,852 by trust here, #727 by citations
- Psychiatry and Mental health — 41 citations into it; #188 of 1,338 by trust here, #68 by citations
- Artificial Intelligence — 11 citations into it
- Signal Processing — 6 citations into it
Whom Daniel S. Marcus trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Randy L. Buckner
- David H. Salat
- Denise Head
- Abraham Z. Snyder
- Bruce Fischl
- Marcelo Arenas
- Stephen M. Smith
- Yongyue Zhang
- John C. Morris
- Martin Andreas Styner
Who trusts Daniel S. Marcus overall
- Guha Balakrishnan
- Adrian V. Dalca
- Hanchuan Peng
- Jean-Baptiste Poline
- Amy Zhao
- Pim Moeskops
- Alan C. Evans
- Christian Wachinger
- Russell A. Poldrack
- Tony C. W. Mok
Papers from Daniel S. Marcus's perspective
Ordered by how strongly the researchers Daniel S. Marcus trusts endorse each paper. Same corpus, a different order for every researcher.
- Measuring the thickness of the human cerebral cortex from magnetic resonance images. (Proceedings of the National Academy of Sciences of the United States of America)
- Molecular, Structural, and Functional Characterization of Alzheimer's Disease: Evidence for a Relationship between Default Activity, Amyloid, and Memory (Journal of Neuroscience)
- 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… (NeuroImage)
- Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis (NeuroImage)
- Differential vulnerability of anterior white matter in nondemented aging with minimal acceleration in dementia of the Alzheimer type: evidence from diffusion tensor imaging. (Cerebral Cortex)
- Dynamics of Gray Matter Loss in Alzheimer's Disease (Journal of Neuroscience)
- Mild cognitive impairment represents early-stage Alzheimer disease. (Archives of Neurology)
- Thinning of the cerebral cortex in aging. (Cerebral Cortex)
- Probabilistic independent component analysis for functional magnetic resonance imaging (IEEE Transactions on Medical Imaging)
- Correspondence of the brain's functional architecture during activation and rest
Their papers
- Serum neurofilament dynamics predicts neurodegeneration and clinical progression in presymptomatic Alzheimer’s disease (2019) — 781 citations
- OASIS-3: Longitudinal Neuroimaging, Clinical, and Cognitive Dataset for Normal Aging and Alzheimer Disease (2019) — 758 citations
- Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge (2018) — 2,033 citations
- The Human Connectome Project’s Neuroimaging Approach (2016) — 1,037 citations
- The Human Connectome Project: A data acquisition perspective (2012) — 2,659 citations
- Data sharing in neuroimaging research (2012) — 296 citations
- Clinical and Biomarker Changes in Dominantly Inherited Alzheimer’s Disease (2012) — 3,500 citations
- Informatics and Data Mining Tools and Strategies for the Human Connectome Project (2011) — 690 citations
- Open Access Series of Imaging Studies (OASIS): Longitudinal MRI Data in Nondemented and Demented Older Adults (2010) — 652 citations
- The extensible neuroimaging archive toolkit (2007) — 307 citations
- Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults (2007) — 2,264 citations
- 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 (2004) — 1,343 citations