Showing results (61-70 of 146) with videos related to

Sort By:
Pageof 15
International Journal of Rheumatic Diseases|June 9, 2025
Application of a Growth-Rate Model to Enhance Subgroup Identification in Heterogeneous Clinical Courses of the Idiopathic Inflammatory Myopathy-Associated Interstitial Lung Disease and Its Prognostic ImplicationJiahao Tian, You-Jung Ha, Jeong Seok Lee, et al.
Medical Physics|August 7, 1999
A pattern classification approach to characterizing solitary pulmonary nodules imaged on high resolution CT: preliminary resultsM F McNitt-Gray, E M Hart, N Wyckoff, et al.
IEEE Transactions on Medical Imaging|January 29, 2002
Patient-specific models for lung nodule detection and surveillance in CT imagesM S Brown, M F McNitt-Gray, J G Goldin, et al.
Radiology|January 4, 2003
Lung micronodules: automated method for detection at thin-section CT--initial experienceMatthew S Brown, Jonathan G Goldin, Robert D Suh, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|July 11, 2007
Postoperative complications of lung transplantation: radiologic findings along a time continuumMayil S Krishnam, Robert D Suh, Anderanik Tomasian, et al.
Arthritis and Rheumatism|June 10, 2004
Regional differences in bronchoalveolar lavage and thoracic high-resolution computed tomography results in dyspneic patients with systemic sclerosisPhilip J Clements, Jonathan G Goldin, Eric C Kleerup, et al.
European Radiology|November 16, 2019
Correction to: Toward clinically usable CAD for lung cancer screening with computed tomographyMatthew S Brown, Pechin Lo, Jonathan G Goldin, et al.
Cardiovascular and Interventional Radiology|February 6, 2009
Radiofrequency ablation of subpleural lung malignancy: reduced pain using an artificially created pneumothoraxEdward W Lee, Robert D Suh, Michelle R Zeidler, et al.
IEEE Transactions on Medical Imaging|April 9, 1998
Method for segmenting chest CT image data using an anatomical model: preliminary resultsM S Brown, M F McNitt-Gray, N J Mankovich, et al.
European Radiology|August 28, 2019
Prediction of idiopathic pulmonary fibrosis progression using early quantitative changes on CT imaging for a short term of clinical 18-24-month follow-upsGrace Hyun J Kim, Stephan S Weigt, John A Belperio, et al.
Pageof 15