Dr. Qiang Li's research interests include the development and evaluation of computer-aided diagnostic systems for lung cancer and interstitial lung disease in chest radiography and thracic CT, brain tumor in MRI, and intracranial aneurysm in MR angiography. He and his colleagues developed selective filter for enhancement of lesions and suppression of normal structures in 2D and 3D images, 3D algorithm for accurate segmentation of lung cancer and brain tumor using a spiral-scanning technique, automated rule-based classifier with high performance and minimized over-training effect, temporal subtraction of sequential images for enhancement of interval changes of lesions in chest radiography and whole-body bone scan, and contralateral subtraction for enhancement of asymmetric lesions in chest radiography. He also conducted a series of quality researches in the evaluation of CAD systems, including development of methods for reducing bias and variance in the estimated performance, development of guidelines for selecting appropriate evaluation methods in typical situations, and development of methods to improve CAD's generalizability for new cases.

Li Q, Li F, Doi K. Computerized detection of lung nodules in thin-section CT images by use of selective enhancement filters and an automated rule-based classifier. Acad Radiol. 2008 Feb;15(2):165-75. Abstract

Li Q, Doi K. Comparison of typical evaluation methods for computer-aided diagnostic schemes: Monte Carlo simulation study. Med Phys. 2007 Mar;34(3):871-6. Abstract

Li Q. Improvement of bias and generalizability for computer-aided diagnostic schemes. Comput Med Imaging Graph. 2007 Jun-Jul;31(4-5):338-45. Abstract

Li Q. Recent progress in computer-aided diagnosis of lung nodules on thin-section CT. Comput Med Imaging Graph. 2007 Jun-Jul;31(4-5):248-57. Abstract

Li Q. Reliable evaluation of performance level for computer-aided diagnostic scheme. Acad Radiol. 2007 Aug;14(8):985-91. Abstract

Wang J, Engelmann R, Li Q. Segmentation of pulmonary nodules in three-dimensional CT images by use of a spiral-scanning technique. Med Phys. 2007 Dec;34(12):4678-89. Abstract

Li Q, Doi K. Analysis and minimization of overtraining effect in rule-based classifiers for computer-aided diagnosis. Med Phys. 2006 Feb;33(2):320-8. Abstract

Li Q, Doi K. Reduction of bias and variance for evaluation of computer-aided diagnostic schemes. Med Phys. 2006 Apr;33(4):868-75. Abstract

Nie Y, Li Q, Li F, Pu Y, Appelbaum D, Doi K. Integrating PET and CT information to improve diagnostic accuracy for lung nodules: A semiautomatic computer-aided method. J Nucl Med. 2006 Jul;47(7):1075-80. Abstract

Li Q, Li F, Suzuki K, Shiraishi J, Abe H, Engelmann R, Nie Y, MacMahon H, Doi K. Computer-aided diagnosis in thoracic CT. Semin Ultrasound CT MR. 2005 Oct;26(5):357-63. Abstract

Aoyama M, Li Q, Katsuragawa S, Li F, Sone S, Doi K. Computerized scheme for determination of the likelihood measure of malignancy for pulmonary nodules on low-dose CT images. Med Phys. 2003 Mar;30(3):387-94. Abstract

Li Q, Li F, Shiraishi J, Katsuragawa S, Sone S, Doi K. Investigation of new psychophysical measures for evaluation of similar images on thoracic computed tomography for distinction between benign and malignant nodules. Med Phys. 2003 Oct;30(10):2584-93. Abstract

Li Q, Sone S, Doi K. Selective enhancement filters for nodules, vessels, and airway walls in two- and three-dimensional CT scans. Med Phys. 2003 Aug;30(8):2040-51. Abstract

Li Q, Katsuragawa S, Doi K. Computer-aided diagnostic scheme for lung nodule detection in digital chest radiographs by use of a multiple-template matching technique. Med Phys. 2001 Oct;28(10):2070-6. Abstract

Li Q, Katsuragawa S, Doi K. Improved contralateral subtraction images by use of elastic matching technique. Med Phys. 2000 Aug;27(8):1934-42. Abstract

Li Q, Katsuragawa S, Ishida T, Yoshida H, Tsukuda S, MacMahon H, Doi K. Contralateral subtraction: a novel technique for detection of asymmetric abnormalities on digital chest radiographs. Med Phys. 2000 Jan;27(1):47-55. Abstract