Extraction of Airways From CT (EXACT'09)
By P. Lo, B. van Ginneken, J. Reinhardt, Tarunashree Yavarna, P. A. Jong, B. Irving, C. Fetita, Margarete Ortner, R. Pinho, Jan Sijbers and 20 more. IEEE Transactions on Medical Imaging, 2012
310 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/cfcae9fa6bd0b4cad15e40bb0dc4e8b367826acc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Jamie Shotton
- Antonio Criminisi
- Ender Konukoglu
- Zhuowen Tu
- Doina Precup
- Nicholas Ayache
- Ben Glocker
- Brian B. Avants
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Andrew Zisserman
- Jitendra Malik
- Trevor Darrell
- Dacheng Tao
- Xiaogang Wang
- Cordelia Schmid
- Ming-Hsuan Yang
In Radiology, Nuclear Medicine and Imaging
- B. van Ginneken
- Nicholas J. Tustison
- D. Louis Collins
- Zhuowen Tu
- Doina Precup
- Nicholas Ayache
- Tal Arbel
- Ben Glocker
Citations in the corpus
- Robust Brain Extraction Across Datasets and Comparison With Publicly Available Methods (2011, background): “the medical imaging community, for example in challenge workshops at conferences [44]–[47].”
- Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning (2017, methodology): “In 2009, we carried out a large comparative study for airway segmentation, called EXACT’09 [42].”
- The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) (2015, methodology): “…medical image segmentation and annotation include algorithms for artery centerline extraction [61], [62], vessel segmentation and stenosis grading [63], liver segmentation [64], [65], detection of microaneurysms in digital color fundus photographs [66], and extraction of airways from CT scans [67].”