Mun SK - Search Results

1

Automated segmentation of anatomic regions in chest radiographs using an adaptive-sized hybrid neural network.

Tsujii O, Freedman MT, Mun SK. Tsujii O, et al. Among authors: mun sk. Med Phys. 1998 Jun;25(6):998-1007. doi: 10.1118/1.598277. Med Phys. 1998. PMID: 9650190

2

Differentiation between nodules and end-on vessels using a convolution neural network architecture.

Lin JS, Hasegawa A, Freedman MT, Mun SK. Lin JS, et al. Among authors: mun sk. J Digit Imaging. 1995 Aug;8(3):132-41. doi: 10.1007/BF03168087. J Digit Imaging. 1995. PMID: 7488656

3

Automatic lung nodule detection using profile matching and back-propagation neural network techniques.

Lo SC, Freedman MT, Lin JS, Mun SK. Lo SC, et al. Among authors: mun sk. J Digit Imaging. 1993 Feb;6(1):48-54. doi: 10.1007/BF03168418. J Digit Imaging. 1993. PMID: 8439583

4

Classification of microcalcifications in radiographs of pathologic specimens for the diagnosis of breast cancer.

Wu YC, Freedman MT, Hasegawa A, Zuurbier RA, Lo SC, Mun SK. Wu YC, et al. Among authors: mun sk. Acad Radiol. 1995 Mar;2(3):199-204. doi: 10.1016/s1076-6332(05)80164-3. Acad Radiol. 1995. PMID: 9419548

5

Anatomic region-based dynamic range compression for chest radiographs using warping transformation of correlated distribution.

Tsujii O, Freedman MT, Mun SK. Tsujii O, et al. Among authors: mun sk. IEEE Trans Med Imaging. 1998 Jun;17(3):407-18. doi: 10.1109/42.712130. IEEE Trans Med Imaging. 1998. PMID: 9735904

6

JOURNAL CLUB: Computer-Aided Detection of Lung Nodules on CT With a Computerized Pulmonary Vessel Suppressed Function.

Lo SB, Freedman MT, Gillis LB, White CS, Mun SK. Lo SB, et al. Among authors: mun sk. AJR Am J Roentgenol. 2018 Mar;210(3):480-488. doi: 10.2214/AJR.17.18718. Epub 2018 Jan 16. AJR Am J Roentgenol. 2018. PMID: 29336601

7

Quality control of storage phosphor digital radiography systems.

Freedman M, Steller D, Jafroudi H, Mun SK. Freedman M, et al. Among authors: mun sk. J Digit Imaging. 1995 May;8(2):67-74. doi: 10.1007/BF03168129. J Digit Imaging. 1995. PMID: 7612704 Review.

8

Application of artificial neural networks for reduction of false-positive detections in digital chest radiographs.

Lin JS, Ligomenides PA, Freedman MT, Mun SK. Lin JS, et al. Among authors: mun sk. Proc Annu Symp Comput Appl Med Care. 1993:434-8. Proc Annu Symp Comput Appl Med Care. 1993. PMID: 8130511 Free PMC article.

9

Artificial convolution neural network techniques and applications for lung nodule detection.

Lo SB, Lou SA, Lin JS, Freedman MT, Chien MV, Mun SK. Lo SB, et al. Among authors: mun sk. IEEE Trans Med Imaging. 1995;14(4):711-8. doi: 10.1109/42.476112. IEEE Trans Med Imaging. 1995. PMID: 18215875

10

Reduction of false positives in lung nodule detection using a two-level neural classification.

Lin JS, Lo SB, Hasegawa A, Freedman MT, Mun SK. Lin JS, et al. Among authors: mun sk. IEEE Trans Med Imaging. 1996;15(2):206-17. doi: 10.1109/42.491422. IEEE Trans Med Imaging. 1996. PMID: 18215903

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