MR-based automatic delineation of volumes of interest in human brain PET images using probability maps
By Claus Svarer, K. Madsen, S. Hasselbalch, L. Pinborg, S. Haugbol, V. Frokjaer, S. Holm, O. Paulson, G. Knudsen. NeuroImage, 2005
407 citations recorded by the source corpus.
Subfields: Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/a3af1f0476de8d1615153b9bed2cfc1a4b87ab00
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Pulmonary and Respiratory Medicine
In Radiology, Nuclear Medicine and Imaging
- Mert Rory Sabuncu
- Juan Eugenio Iglesias
- Daniel Rueckert
- Rolf A. Heckemann
- Adolf Pfefferbaum
- Edith V. Sullivan
- Alexander Hammers
- Carlos Ortiz-de-Solorzano
Citations in the corpus
- DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy (2017, unknown): “23, 81369 München, Germany; Email: christian.wachinger@med.unimuenchen.de Pohl et al., 2006; Heckemann et al., 2006; Rohlfing et al., 2004, 2005; Svarer et al., 2005; Sabuncu et al., 2010; Asman and Landman, 2012; Wang et al., 2013b; Wachinger and Golland, 2014).”
- Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation (2020, unknown): “PVC techniques are applied by using PVElab [384, 385] , a platform developed by the EU sponsored PVEOut project.”
- Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration (2013, unknown): “In atlas-based segmentation, the registered atlas (or combination of registered atlases) can be treated as a final segmentation as in [64], [65].”
- The SRI24 Multi-Channel Atlas of Normal Adult Human Brain Structure (2009, result): “This is supported by increasing body of studies [e.g., Chou et al., 2008; Gousias et al., 2008; Heckemann et al., 2006; Klein and Hirsch, 2005; Klein et al., 2008; Rohlfing and Maurer, 2005; Rohlfing et al., 2004a,b; Svarer et al., 2005].”
- Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest (2008, methodology): “…brain maps, templates and models to describe how the brain and its component parts are organized (Evans et al., 1994; Thompson et al., 1996; Thompson et al., 1997; Zilles et al., 1997; Mazziotta et al., 2001b; Toga and Thompson, 2001, 2003; Svarer et al., 2005; Hammers et al., 2007a).”
- Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy (2009, unknown): “Within this process, commonly called atlas-based segmentation, the atlas that is propagated can represent a single segmented individual (Iosifescu et al.,1997; Svarer et al., 2005; D'Haese et al., 2003).”
- Multi-Atlas Segmentation of Biomedical Images: A Survey (2014, methodology): “…2008; Babalola et al., 2009; Fonov et al., 2012; Han et al., 2009; Heckemann et al., 2010, 2011; Keihaninejad et al., 2010; Kotrotsou et al., 2014; Svarer et al., 2005; Wang et al., 2012), while other studies have focused on small sets or individual ROIs, such as the caudate nucleus (van Rikxoort…”
- Combination Strategies in Multi-Atlas Image Segmentation: Application to Brain MR Data (2009, background): “Information from several reference images can be combined into an average atlas [12], [13] or, if probability values for each particular location are included, into a so-called probabilistic atlas [1], [2], [4], [ 9 ].”