U01 CA195564/CA/NCI NIH HHS/United States[Grants and Funding] - Search Results

Year	Number of Results
2014	1
2015	4
2016	5
2017	4
2018	10
2019	13
2020	6
2021	6
2022	2
2023	4
2024	2

1

Artificial intelligence in cancer imaging: Clinical challenges and applications.

Bi WL, Hosny A, Schabath MB, Giger ML, Birkbak NJ, Mehrtash A, Allison T, Arnaout O, Abbosh C, Dunn IF, Mak RH, Tamimi RM, Tempany CM, Swanton C, Hoffmann U, Schwartz LH, Gillies RJ, Huang RY, Aerts HJWL. Bi WL, et al. CA Cancer J Clin. 2019 Mar;69(2):127-157. doi: 10.3322/caac.21552. Epub 2019 Feb 5. CA Cancer J Clin. 2019. PMID: 30720861 Free PMC article. Review.

2

Clinical Artificial Intelligence Applications: Breast Imaging.

Hu Q, Giger ML. Hu Q, et al. Radiol Clin North Am. 2021 Nov;59(6):1027-1043. doi: 10.1016/j.rcl.2021.07.010. Radiol Clin North Am. 2021. PMID: 34689871 Free PMC article. Review.

3

Artificial Intelligence and Cellular Segmentation in Tissue Microscopy Images.

Durkee MS, Abraham R, Clark MR, Giger ML. Durkee MS, et al. Am J Pathol. 2021 Oct;191(10):1693-1701. doi: 10.1016/j.ajpath.2021.05.022. Epub 2021 Jun 12. Am J Pathol. 2021. PMID: 34129842 Free PMC article. Review.

4

Deep learning in medical imaging and radiation therapy.

Sahiner B, Pezeshk A, Hadjiiski LM, Wang X, Drukker K, Cha KH, Summers RM, Giger ML. Sahiner B, et al. Med Phys. 2019 Jan;46(1):e1-e36. doi: 10.1002/mp.13264. Epub 2018 Nov 20. Med Phys. 2019. PMID: 30367497 Free PMC article. Review.

5

Computer-aided detection and diagnosis/radiomics/machine learning/deep learning in medical imaging.

[No authors listed] [No authors listed] Med Phys. 2023 Jun;50 Suppl 1:50-53. doi: 10.1002/mp.16025. Med Phys. 2023. PMID: 36416869 No abstract available.

6

Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century.

El Naqa I, Haider MA, Giger ML, Ten Haken RK. El Naqa I, et al. Br J Radiol. 2020 Feb 1;93(1106):20190855. doi: 10.1259/bjr.20190855. Br J Radiol. 2020. PMID: 31965813 Free PMC article. Review.

7

Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI.

Ji Y, Whitney HM, Li H, Liu P, Giger ML, Zhang X. Ji Y, et al. Radiology. 2023 Apr;307(1):e220984. doi: 10.1148/radiol.220984. Epub 2023 Jan 3. Radiology. 2023. PMID: 36594836 Free PMC article.

8

Breast density estimation from high spectral and spatial resolution MRI.

Li H, Weiss WA, Medved M, Abe H, Newstead GM, Karczmar GS, Giger ML. Li H, et al. J Med Imaging (Bellingham). 2016 Oct;3(4):044507. doi: 10.1117/1.JMI.3.4.044507. Epub 2016 Dec 28. J Med Imaging (Bellingham). 2016. PMID: 28042590 Free PMC article.

9

Breast MRI radiomics: comparison of computer- and human-extracted imaging phenotypes.

Sutton EJ, Huang EP, Drukker K, Burnside ES, Li H, Net JM, Rao A, Whitman GJ, Zuley M, Ganott M, Bonaccio E, Giger ML, Morris EA; TCGA group. Sutton EJ, et al. Eur Radiol Exp. 2017;1(1):22. doi: 10.1186/s41747-017-0025-2. Epub 2017 Nov 21. Eur Radiol Exp. 2017. PMID: 29708200 Free PMC article.

10

Multi-Stage Harmonization for Robust AI across Breast MR Databases.

Whitney HM, Li H, Ji Y, Liu P, Giger ML. Whitney HM, et al. Cancers (Basel). 2021 Sep 26;13(19):4809. doi: 10.3390/cancers13194809. Cancers (Basel). 2021. PMID: 34638294 Free PMC article.

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