Goldin JG - Search Results

1

Multi-scale, domain knowledge-guided attention + random forest: a two-stage deep learning-based multi-scale guided attention models to diagnose idiopathic pulmonary fibrosis from computed tomography images.

Yu W, Zhou H, Choi Y, Goldin JG, Teng P, Wong WK, McNitt-Gray MF, Brown MS, Kim GHJ. Yu W, et al. Among authors: goldin jg. Med Phys. 2023 Feb;50(2):894-905. doi: 10.1002/mp.16053. Epub 2022 Nov 5. Med Phys. 2023. PMID: 36254789 Free PMC article.

2

End-to-end domain knowledge-assisted automatic diagnosis of idiopathic pulmonary fibrosis (IPF) using computed tomography (CT).

Yu W, Zhou H, Goldin JG, Wong WK, Kim GHJ. Yu W, et al. Among authors: goldin jg. Med Phys. 2021 May;48(5):2458-2467. doi: 10.1002/mp.14754. Epub 2021 Mar 19. Med Phys. 2021. PMID: 33547645 Free PMC article.

3

Knowledge-based segmentation of thoracic computed tomography images for assessment of split lung function.

Brown MS, Goldin JG, McNitt-Gray MF, Greaser LE, Sapra A, Li KT, Sayre JW, Martin K, Aberle DR. Brown MS, et al. Among authors: goldin jg. Med Phys. 2000 Mar;27(3):592-8. doi: 10.1118/1.598898. Med Phys. 2000. PMID: 10757610

4

Solitary pulmonary nodule diagnosis on CT: results of an observer study.

Shah SK, McNitt-Gray MF, De Zoysa KR, Sayre JW, Kim HJ, Batra P, Behrashi A, Brown K, Greaser LE, Park JM, Roback DK, Wu C, Zaragoza E, Goldin JG, Suh RD, Brown MS, Aberle DR. Shah SK, et al. Among authors: goldin jg. Acad Radiol. 2005 Apr;12(4):496-501. doi: 10.1016/j.acra.2004.12.017. Acad Radiol. 2005. PMID: 15831424

5

Automated classification of lung bronchovascular anatomy in CT using AdaBoost.

Ochs RA, Goldin JG, Abtin F, Kim HJ, Brown K, Batra P, Roback D, McNitt-Gray MF, Brown MS. Ochs RA, et al. Among authors: goldin jg. Med Image Anal. 2007 Jun;11(3):315-24. doi: 10.1016/j.media.2007.03.004. Epub 2007 Mar 30. Med Image Anal. 2007. PMID: 17482500 Free PMC article.

6

Prediction of idiopathic pulmonary fibrosis progression using early quantitative changes on CT imaging for a short term of clinical 18-24-month follow-ups.

Kim GHJ, Weigt SS, Belperio JA, Brown MS, Shi Y, Lai JH, Goldin JG. Kim GHJ, et al. Among authors: goldin jg. Eur Radiol. 2020 Feb;30(2):726-734. doi: 10.1007/s00330-019-06402-6. Epub 2019 Aug 26. Eur Radiol. 2020. PMID: 31451973

7

Prediction of progression in idiopathic pulmonary fibrosis using CT scans at baseline: A quantum particle swarm optimization - Random forest approach.

Shi Y, Wong WK, Goldin JG, Brown MS, Kim GHJ. Shi Y, et al. Among authors: goldin jg. Artif Intell Med. 2019 Sep;100:101709. doi: 10.1016/j.artmed.2019.101709. Epub 2019 Aug 28. Artif Intell Med. 2019. PMID: 31607341

8

High throughput image labeling on chest computed tomography by deep learning.

Wang X, Teng P, Ontiveros A, Goldin JG, Brown MS. Wang X, et al. Among authors: goldin jg. J Med Imaging (Bellingham). 2020 Mar;7(2):024501. doi: 10.1117/1.JMI.7.2.024501. Epub 2020 Mar 20. J Med Imaging (Bellingham). 2020. PMID: 32219151 Free PMC article.

9

The value of imaging and clinical outcomes in a phase II clinical trial of a lysophosphatidic acid receptor antagonist in idiopathic pulmonary fibrosis.

Kim GHJ, Goldin JG, Hayes W, Oh A, Soule B, Du S. Kim GHJ, et al. Among authors: goldin jg. Ther Adv Respir Dis. 2021 Jan-Dec;15:17534666211004238. doi: 10.1177/17534666211004238. Ther Adv Respir Dis. 2021. PMID: 33781141 Free PMC article. Clinical Trial.

10

A pattern classification approach to characterizing solitary pulmonary nodules imaged on high resolution CT: preliminary results.

McNitt-Gray MF, Hart EM, Wyckoff N, Sayre JW, Goldin JG, Aberle DR. McNitt-Gray MF, et al. Among authors: goldin jg. Med Phys. 1999 Jun;26(6):880-8. doi: 10.1118/1.598603. Med Phys. 1999. PMID: 10436888

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