OsiriX: An Open-Source Software for Navigating in Multidimensional DICOM Images
By A. Rosset, L. Spadola, O. Ratib. Journal of digital imaging, 2004
1,899 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/f0d69f238f88796875b1a951131e6351d541ad90
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Klaus Hermann Maier-Hein
- B. van Ginneken
- Ronald M. Summers
- M. Jorge Cardoso
- Bjoern H Menze
- Geert J. S. Litjens
- Lena Maier-Hein
- Jayashree Kalpathy-Cramer
In Radiology, Nuclear Medicine and Imaging
- B. van Ginneken
- Ronald M. Summers
- Geert J. S. Litjens
- Klaus Hermann Maier-Hein
- M. Jorge Cardoso
- Hugues Duffau
- Bennett A. Landman
- Milan Sonka
Citations in the corpus
- A large annotated medical image dataset for the development and evaluation of segmentation algorithms (2019, methodology): “The tumour region was denoted by an expert thoracic radiologist on a representative CT cross section using OsiriX [23].”
- 3D Slicer as an Image Computing Platform for the Quantitative Imaging Network (2012, methodology): “OsiriX is an open-source PACS workstation and DICOM viewer for Mac OS X that provides advanced capabilities such as image fusion, volume rendering and image annotation, and is extensible via a documented plug-in mechanism [26].”
- The Medical Imaging Interaction Toolkit: challenges and advances (2013, methodology): “The other approach— extensible end-user oriented application— provides all the necessary basic methods in an integrated user interface, for example OsiriX [22], Slicer [21], Volview 9 , and Analyze 10 .”
- Super-Resolution Musculoskeletal MRI Using Deep Learning (2018, methodology): “15 Low-order linear interpolation methods such as FI and trilinear interpolation are widely used in clinical and research protocols for attempting to achieve thin-section imaging; however, neither produce images with high diagnostic quality.”
- Evidence for potentials and limitations of brain plasticity using an atlas of functional resectability of WHO grade II gliomas: Towards a "minimal common brain" (2011, methodology): “…residual tumor+the resection cavity) and the residual tumorwere successivelymanually segmented on original FLAIR images by the first author (with the OSIRIX software tool (Rosset et al., 2004)), and then spatially registered to the Montreal Neurological Institute (MNI) space (Evans et al., 1992).”