AAAAAA
Results:
1-18
|
Results: 18
Authors:
Kupinski, MA
Edwards, DC
Giger, ML
Metz, CE
Citation: Ma. Kupinski et al., Ideal observer approximation using Bayesian classification neural networks, IEEE MED IM, 20(9), 2001, pp. 886-899
Authors:
Armato, SG
Giger, ML
MacMahon, H
Citation: Sg. Armato et al., Automated detection of lung nodules in CT scans: Preliminary results, MED PHYS, 28(8), 2001, pp. 1552-1561
Authors:
Horsch, K
Giger, ML
Venta, LA
Vyborny, CJ
Citation: K. Horsch et al., Automatic segmentation of breast lesions on ultrasound, MED PHYS, 28(8), 2001, pp. 1652-1659
Authors:
Giger, ML
Citation: Ml. Giger, Computer-aided diagnosis of breast lesions in medical images, COMPUT SC E, 2(5), 2000, pp. 39-45
Authors:
Armato, SG
Giger, ML
Chen, CT
Vyborny, CJ
Ryan, J
MacMahon, H
Citation: Sg. Armato et al., Automated registration of frontal and lateral radionuclide lung scans withdigital chest radiographs, ACAD RADIOL, 7(7), 2000, pp. 530-539
Authors:
Huo, ZM
Giger, ML
Vyborny, CJ
Wolverton, DE
Metz, CE
Citation: Zm. Huo et al., Computerized classification of benign and malignant masses on digitized mammograms: A study of robustness, ACAD RADIOL, 7(12), 2000, pp. 1077-1084
Authors:
Jiang, CS
Giger, ML
Kwak, SM
Chinander, MR
Martell, JM
Favus, MJ
Citation: Cs. Jiang et al., Normalized BMD as a predictor of bone strength, ACAD RADIOL, 7(1), 2000, pp. 33-39
Authors:
Huo, ZM
Giger, ML
Wolverton, DE
Zhong, WM
Cumming, S
Olopade, OI
Citation: Zm. Huo et al., Computerized analysis of mammographic parenchymal patterns for breast cancer risk assessment: Feature selection, MED PHYS, 27(1), 2000, pp. 4-12
Authors:
Chinander, MR
Giger, ML
Martell, JM
Favus, MJ
Citation: Mr. Chinander et al., Computerized analysis of radiographic bone patterns: Effect of imaging conditions on performance, MED PHYS, 27(1), 2000, pp. 75-85
Authors:
Vyborny, CJ
Giger, ML
Nishikawa, RM
Citation: Cj. Vyborny et al., Computer-aided detection and diagnosis of breast cancer, RAD CLIN NA, 38(4), 2000, pp. 725
Authors:
Giger, ML
Al-Hallaq, H
Huo, ZM
Moran, C
Wolverton, DE
Chan, CW
Zhong, WM
Citation: Ml. Giger et al., Computerized analysis of lesions in US images of the breast, ACAD RADIOL, 6(11), 1999, pp. 665-674
Authors:
Jiang, YL
Nishikawa, RM
Schmidt, RA
Metz, CE
Giger, ML
Doi, K
Citation: Yl. Jiang et al., Improving breast cancer diagnosis with computer-aided diagnosis, ACAD RADIOL, 6(1), 1999, pp. 22-33
Authors:
Armato, SG
Giger, ML
MacMahon, H
Citation: Sg. Armato et al., Computerized analysis of abnormal asymmetry in digital chest radiographs: Evaluation of potential utility, J DIGIT IM, 12(1), 1999, pp. 34-42
Authors:
Armato, SG
Giger, ML
Moran, CJ
Blackburn, JT
Doi, K
MacMahon, H
Citation: Sg. Armato et al., Computerized detection of pulmonary nodules on CT scans, RADIOGRAPHI, 19(5), 1999, pp. 1303-1311
Authors:
Jiang, CS
Giger, ML
Chinander, MR
Martell, JM
Kwak, S
Favus, MJ
Citation: Cs. Jiang et al., Characterization of bone quality using computer-extracted radiographic features, MED PHYS, 26(6), 1999, pp. 872-879
Authors:
Chinander, MR
Giger, ML
Martell, JM
Jiang, C
Favus, MJ
Citation: Mr. Chinander et al., Computerized radiographic texture measures for characterizing bone strength: A simulated clinical setup using femoral neck specimens, MED PHYS, 26(11), 1999, pp. 2295-2300
Authors:
Kupinski, MA
Giger, ML
Citation: Ma. Kupinski et Ml. Giger, Feature selection with limited datasets, MED PHYS, 26(10), 1999, pp. 2176-2182
Authors:
Huo, ZM
Giger, ML
Metz, CE
Citation: Zm. Huo et al., Effect of dominant features on neural network performance in the classification of mammographic lesions, PHYS MED BI, 44(10), 1999, pp. 2579-2595
Risultati:
1-18
|