Three‐dimensional maximum probability atlas of the human brain, with particular reference to the temporal lobe

By Alexander Hammers, R. Allom, Matthias J. Koepp, S. Free, R. Myers, L. Lemieux, T. Mitchell, D. Brooks, J. Duncan. Human Brain Mapping, 2003

1,314 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Geometry and Topology, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/028766d070aaf8846519daab776c349e93ab8b01

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Citations in the corpus

Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy (2009, neutral): “The atlases in that work consisted of brain MR images for 30 subjects with corresponding manual segmentations created using the protocol published by Hammers et al. (2003).”
SimpleElastix: A User-Friendly, Multi-lingual Library for Medical Image Registration (2016, methodology): “For example, Figure 1 shows a registration of two brains from a publicly available data set consisting of 30 adult atlases each with 83 segmented regions [14] using the method in Listing 1.”
A Reproducible Evaluation of ANTs Similarity Metric Performance in Brain Image Registration (2010, methodology): “org/ (Hammers et al., 2003; Heckemann et al., 2006).”
Brain Functional Localization: A Survey of Image Registration Techniques (2007, background): “The maximum probability anatomical brain atlas in [57] and diffeomorphic probabilistic brain atlas in [58] constitute some of the new efforts in this field.”
Construction of a 3D probabilistic atlas of human cortical structures (2008, methodology): “Hammers et al. (2003) have also used manual delineation techniques to create a maximum probability labeled brain atlas, but their atlas was constructed from fewer subjects (N=20) and the structures chosen for delineation were concentrated on the temporal lobe.”
Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease (2013, methodology): “Thirty labeled T1w images containing 83 ROIs each (Hammers et al., 2003; Gousias et al., 2008) were used as atlas images.”
Diffeomorphic Registration Using B-Splines (2006, methodology): “The protocol used was an augmented version of a published prototype [23].”
Brain templates and atlases (2012, background): “Other regional atlases have been developed for the frontal lobe (Crespo-Facorro et al., 1999; Hammers et al., 2007) and temporal lobe (Hammers et al., 2003).”
Handbook of Functional MRI Data Analysis: Index (2011, methodology): “, anatomical ROIs not derived from one’s own subjects), then the best practice is to use ROIs based on probabilistic atlases of macrosopic anatomy (Hammers et al., 2003; Shattuck et al., 2008) or probabilistic cytoarchitectural atlases (Eickhoff et al.”
ITK: enabling reproducible research and open science (2014, neutral): “In this case, the publically available XIX atlas (Hammers et al., 2003; Gousias et al., 2008; Bauer et al., 2011a) is applied.”
A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer’s disease (2018, methodology): “This was based on the Hammers et al., (2003) All template creation and registration procedures were performed using the ANTs package (Avants et al., 2010, 2011).”
Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest (2008, methodology): “Although the delineation of the regions of interest was subjective to the delineator, very detailed delineation protocols along the three orthogonal planes were used in order to create consistent and precise delineations, and various strategies were used to enhance consistency (Hammers et al., 2003)”
An Open Source Multivariate Framework for n-Tissue Segmentation with Evaluation on Public Data (2011, background): “org/ and currently under the adult atlases section (Hammers et al. 2003; Heckemann et al. 2006).”
Automatic anatomical brain MRI segmentation combining label propagation and decision fusion (2006, methodology): “The protocol used was an augmented version of a published prototype (Hammers et al., 2003).”
Virtual spatial registration of stand-alone fNIRS data to MNI space (2007, methodology): “…neuroimaging data expressed in MNI and Talairach spaces and also to convenient tools available in these spaces, such as a maximum probability atlas (Hammers et al., 2003) and computer-assisted anatomical labeling (Lancaster et al., 2000; Le Goualher et al., 1999; Nowinski and Belov, 2003;…”