D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Neuroscience D-index 35 Citations 8,322 80 World Ranking 5930 National Ranking 2553

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Internal medicine
  • Magnetic resonance imaging

His primary areas of investigation include Neuroscience, Artificial intelligence, Cerebral cortex, Segmentation and Hippocampal formation. Perirhinal cortex and Entorhinal cortex are the primary areas of interest in his Neuroscience study. Jean C. Augustinack has included themes like Tractography, Diffusion MRI, Neuroimaging, Computer vision and Atlas in his Artificial intelligence study.

His research in Cerebral cortex focuses on subjects like Brain mapping, which are connected to Cytoarchitecture and Brodmann area. The study incorporates disciplines such as Level of detail and Statistical model in addition to Segmentation. His Hippocampal formation research integrates issues from In vivo and Pattern recognition.

His most cited work include:

  • Specific tau phosphorylation sites correlate with severity of neuronal cytopathology in Alzheimer's disease. (705 citations)
  • Cortical Folding Patterns and Predicting Cytoarchitecture (550 citations)
  • A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI (471 citations)

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

His scientific interests lie mostly in Neuroscience, Magnetic resonance imaging, Hippocampal formation, Neuroimaging and Segmentation. His work carried out in the field of Neuroscience brings together such families of science as Parahippocampal gyrus and Diffusion MRI. His work in Magnetic resonance imaging addresses subjects such as Ex vivo, which are connected to disciplines such as Brain mapping.

His study focuses on the intersection of Hippocampal formation and fields such as Artificial intelligence with connections in the field of Pattern recognition. His Neuroimaging research includes themes of Alzheimer's Disease Neuroimaging Initiative, Computer vision and Pathology. His studies in Segmentation integrate themes in fields like Dentate gyrus and Amygdala.

He most often published in these fields:

  • Neuroscience (53.49%)
  • Magnetic resonance imaging (23.26%)
  • Hippocampal formation (20.93%)

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

  • Neuroscience (53.49%)
  • Optical coherence tomography (12.79%)
  • Human brain (16.28%)

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

Jean C. Augustinack mainly investigates Neuroscience, Optical coherence tomography, Human brain, Hippocampal formation and Segmentation. The various areas that Jean C. Augustinack examines in his Neuroscience study include Dementia and Neurodegeneration. His Optical coherence tomography research also works with subjects such as

  • Neuron which is related to area like Myelin, Scattering, Colocalization, Nissl body and Entorhinal cortex,
  • Human brain imaging, Brodmann area and Histology most often made with reference to Biomedical engineering,
  • Algorithm which intersects with area such as Ground truth, Optical imaging and Voxel,
  • Angular resolution and Image resolution most often made with reference to Orientation.

Jean C. Augustinack has researched Human brain in several fields, including Neuroanatomy and Magnetic resonance imaging, 7 tesla mri, Flip angle. Jean C. Augustinack combines subjects such as Scanner and Artificial intelligence with his study of Flip angle. His Segmentation research includes elements of Effects of sleep deprivation on cognitive performance and Neuroimaging.

Between 2018 and 2021, his most popular works were:

  • 7 Tesla MRI of the ex vivo human brain at 100 micron resolution. (46 citations)
  • Progress update from the hippocampal subfields group (20 citations)
  • Insight into the fundamental trade-offs of diffusion MRI from polarization-sensitive optical coherence tomography in ex vivo human brain. (8 citations)

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

  • Neuroscience
  • Internal medicine
  • Artificial intelligence

Jean C. Augustinack spends much of his time researching Human brain, Neuroscience, Optical coherence tomography, Spinal cord and Neocortex. The Human brain study combines topics in areas such as Image resolution, Array coil, Magnetic resonance imaging and Scanner. His research in Optical coherence tomography intersects with topics in Diffusion MRI, Orientation, Angular resolution, Algorithm and Voxel.

Jean C. Augustinack interconnects Hypoglossal nucleus, Brainstem and Vestibular system, Vestibular nuclei in the investigation of issues within Spinal cord. His biological study spans a wide range of topics, including Rhinal sulcus, Neurodegeneration, Dementia, Cognitive decline and Positron emission tomography. Many of his studies on Rhinal sulcus involve topics that are commonly interrelated, such as Tauopathy.

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

Specific tau phosphorylation sites correlate with severity of neuronal cytopathology in Alzheimer's disease.

Jean C. Augustinack;Anja Schneider;Eva-Maria Mandelkow;Bradley T. Hyman.
Acta Neuropathologica (2002)

1014 Citations

A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI

Juan Eugenio Iglesias;Jean C. Augustinack;Khoa Nguyen;Christopher M. Player.
NeuroImage (2015)

754 Citations

Cortical Folding Patterns and Predicting Cytoarchitecture

Bruce Fischl;Bruce Fischl;Niranjini Rajendran;Evelina Busa;Jean Augustinack.
Cerebral Cortex (2008)

741 Citations

Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying anatomy.

Anastasia Yendiki;Patricia Panneck;Priti Srinivasan;Allison Stevens.
Frontiers in Neuroinformatics (2011)

495 Citations

Automated segmentation of hippocampal subfields from ultra‐high resolution in vivo MRI

Koen Van Leemput;Koen Van Leemput;Akram Bakkour;Thomas Benner;Graham Wiggins.
Hippocampus (2009)

445 Citations

Caspase activation and neuroprotection in caspase-3- deficient mice after in vivo cerebral ischemia and in vitro oxygen glucose deprivation

Dean A. Le;Yongqin Wu;Zhihong Huang;Kohji Matsushita.
Proceedings of the National Academy of Sciences of the United States of America (2002)

399 Citations

Molecular imaging with Pittsburgh Compound B confirmed at autopsy: a case report.

Brian J. Bacskai;Matthew P. Frosch;Stefanie H. Freeman;Scott B. Raymond.
JAMA Neurology (2007)

352 Citations

Differential effects of aging and Alzheimer's disease on medial temporal lobe cortical thickness and surface area

Bradford Clark Dickerson;Eric Feczko;Jean C. Augustinack;Jenni Pacheco.
Neurobiology of Aging (2009)

283 Citations

Evaluating the validity of volume-based and surface-based brain image registration for developmental cognitive neuroscience studies in children 4 to 11 years of age

Satrajit S Ghosh;Sita Kakunoori;Jean C. Augustinack;Alfonso Nieto-Castanon.
NeuroImage (2010)

246 Citations

Quantitative Comparison of 21 Protocols for Labeling Hippocampal Subfields and Parahippocampal Subregions in In Vivo MRI: Towards a Harmonized Segmentation Protocol

Paul A. Yushkevich;Robert S C Amaral;Jean C. Augustinack;Andrew R. Bender.
NeuroImage (2015)

243 Citations

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