Automated quantification of COVID-19 severity and progression using chest CT images

[1] Lin C(2020)Asymptomatic novel coronavirus pneumonia patient outside Wuhan: the value of CT images in the course of the disease Clin Imaging 63 7-9

[2] Ding Y(2019)Development and validation of a deep learning-based automated detection algorithm for major thoracic diseases on chest radiographs JAMA Netw Open 2 e191095-604

[3] Xie B(2000)Automatic detection of acute bacterial pneumonia from chest X-ray reports J Am Med Inform Assoc 7 593-428

[4] Hwang EJ(2011)Detection of pneumonia in chest X-ray images J Xray Sci Technol 19 423-1334

[5] Park S(2017)Enhancing comparative effectiveness research with automated pediatric pneumonia detection in a multi-institutional clinical repository: a PHIS+ pilot study J Med Internet Res 19 1329-49

[6] Jin KN(2000)Automatic detection and quantification of ground-glass opacities on high-resolution CT using multiple neural networks: comparison with a density mask AJR Am J Roentgenol 175 42-314

[7] Fiszman M(2020)Automated CT-derived skeletal muscle mass determination in lower hind limbs of mice using a 3D U-Net deep learning network J Appl Physiol (1985) 128 306-278

[8] Chapman WW(2014)Bidirectional elastic image registration using B-spline affine transformation Comput Med Imaging Graph 38 266-189

[9] Aronsky D(2011)A differential geometric approach to automated segmentation of human airway tree IEEE Trans Med Imaging 30 178-3461

[10] Evans RS(2004)Statistical validation of image segmentation quality based on a spatial overlap index Acad Radiol 11 101592-124

[1] Lin C(2020)Asymptomatic novel coronavirus pneumonia patient outside Wuhan: the value of CT images in the course of the disease Clin Imaging 63 7-9

[2] Ding Y(2019)Development and validation of a deep learning-based automated detection algorithm for major thoracic diseases on chest radiographs JAMA Netw Open 2 e191095-604

[3] Xie B(2000)Automatic detection of acute bacterial pneumonia from chest X-ray reports J Am Med Inform Assoc 7 593-428

[4] Hwang EJ(2011)Detection of pneumonia in chest X-ray images J Xray Sci Technol 19 423-1334

[5] Park S(2017)Enhancing comparative effectiveness research with automated pediatric pneumonia detection in a multi-institutional clinical repository: a PHIS+ pilot study J Med Internet Res 19 1329-49

[6] Jin KN(2000)Automatic detection and quantification of ground-glass opacities on high-resolution CT using multiple neural networks: comparison with a density mask AJR Am J Roentgenol 175 42-314

[7] Fiszman M(2020)Automated CT-derived skeletal muscle mass determination in lower hind limbs of mice using a 3D U-Net deep learning network J Appl Physiol (1985) 128 306-278

[8] Chapman WW(2014)Bidirectional elastic image registration using B-spline affine transformation Comput Med Imaging Graph 38 266-189

[9] Aronsky D(2011)A differential geometric approach to automated segmentation of human airway tree IEEE Trans Med Imaging 30 178-3461

[10] Evans RS(2004)Statistical validation of image segmentation quality based on a spatial overlap index Acad Radiol 11 101592-124