Giger ML - Search Results

1

Automated mesenchymal stem cell segmentation and machine learning-based phenotype classification using morphometric and textural analysis.

Mota SM, Rogers RE, Haskell AW, McNeill EP, Kaunas R, Gregory CA, Giger ML, Maitland KC. Mota SM, et al. Among authors: giger ml. J Med Imaging (Bellingham). 2021 Jan;8(1):014503. doi: 10.1117/1.JMI.8.1.014503. Epub 2021 Feb 1. J Med Imaging (Bellingham). 2021. PMID: 33542945 Free PMC article.

2

Welcome to the Journal of Medical Imaging.

Giger ML. Giger ML. J Med Imaging (Bellingham). 2014 Apr;1(1):010101. doi: 10.1117/1.JMI.1.1.010101. J Med Imaging (Bellingham). 2014. PMID: 26158020 Free PMC article. No abstract available.

3

Comparative analysis of image-based phenotypes of mammographic density and parenchymal patterns in distinguishing between BRCA1/2 cases, unilateral cancer cases, and controls.

Li H, Giger ML, Lan L, Janardanan J, Sennett CA. Li H, et al. Among authors: giger ml. J Med Imaging (Bellingham). 2014 Oct;1(3):031009. doi: 10.1117/1.JMI.1.3.031009. Epub 2014 Nov 13. J Med Imaging (Bellingham). 2014. PMID: 26158050 Free PMC article.

4

Impact of lesion segmentation metrics on computer-aided diagnosis/detection in breast computed tomography.

Kuo HC, Giger ML, Reiser I, Drukker K, Boone JM, Lindfors KK, Yang K, Edwards A. Kuo HC, et al. Among authors: giger ml. J Med Imaging (Bellingham). 2014 Oct;1(3):031012. doi: 10.1117/1.JMI.1.3.031012. Epub 2014 Dec 24. J Med Imaging (Bellingham). 2014. PMID: 26158052 Free PMC article.

5

LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned.

Armato SG 3rd, Hadjiiski L, Tourassi GD, Drukker K, Giger ML, Li F, Redmond G, Farahani K, Kirby JS, Clarke LP. Armato SG 3rd, et al. Among authors: giger ml. J Med Imaging (Bellingham). 2015 Apr;2(2):020103. doi: 10.1117/1.JMI.2.2.020103. J Med Imaging (Bellingham). 2015. PMID: 26158094 Free PMC article. No abstract available.

6

Preliminary assessment of dispersion versus absorption analysis of high spectral and spatial resolution magnetic resonance images in the diagnosis of breast cancer.

Weiss WA, Medved M, Karczmar GS, Giger ML. Weiss WA, et al. Among authors: giger ml. J Med Imaging (Bellingham). 2015 Apr;2(2):024502. doi: 10.1117/1.JMI.2.2.024502. Epub 2015 May 7. J Med Imaging (Bellingham). 2015. PMID: 26158106 Free PMC article.

7

Digital mammographic tumor classification using transfer learning from deep convolutional neural networks.

Huynh BQ, Li H, Giger ML. Huynh BQ, et al. Among authors: giger ml. J Med Imaging (Bellingham). 2016 Jul;3(3):034501. doi: 10.1117/1.JMI.3.3.034501. Epub 2016 Aug 22. J Med Imaging (Bellingham). 2016. PMID: 27610399 Free PMC article.

8

LUNGx Challenge for computerized lung nodule classification.

Armato SG 3rd, Drukker K, Li F, Hadjiiski L, Tourassi GD, Engelmann RM, Giger ML, Redmond G, Farahani K, Kirby JS, Clarke LP. Armato SG 3rd, et al. Among authors: giger ml. J Med Imaging (Bellingham). 2016 Oct;3(4):044506. doi: 10.1117/1.JMI.3.4.044506. Epub 2016 Dec 19. J Med Imaging (Bellingham). 2016. PMID: 28018939 Free PMC article.

9

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. Among authors: giger ml. 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.

10

Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammograms.

Li H, Giger ML, Huynh BQ, Antropova NO. Li H, et al. Among authors: giger ml. J Med Imaging (Bellingham). 2017 Oct;4(4):041304. doi: 10.1117/1.JMI.4.4.041304. Epub 2017 Sep 13. J Med Imaging (Bellingham). 2017. PMID: 28924576 Free PMC article.

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