Summers RM - Search Results

1

Differential diagnosis of bone marrow failure syndromes guided by machine learning.

Gutierrez-Rodrigues F, Munger E, Ma X, Groarke EM, Tang Y, Patel BA, Catto LFB, Clé DV, Niewisch MR, Alves-Paiva RM, Donaires FS, Pinto AL, Borges G, Santana BA, McReynolds LJ, Giri N, Altintas B, Fan X, Shalhoub R, Siwy CM, Diamond C, Raffo DQ, Craft K, Kajigaya S, Summers RM, Liu P, Cunningham L, Hickstein DD, Dunbar CE, Pasquini R, De Oliveira MM, Velloso EDRP, Alter BP, Savage SA, Bonfim C, Wu CO, Calado RT, Young NS. Gutierrez-Rodrigues F, et al. Among authors: summers rm. Blood. 2023 Apr 27;141(17):2100-2113. doi: 10.1182/blood.2022017518. Blood. 2023. PMID: 36542832 Free PMC article.

2

A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis.

Tang Y, Tang Y, Zhu Y, Xiao J, Summers RM. Tang Y, et al. Among authors: summers rm. Med Image Anal. 2021 Jan;67:101839. doi: 10.1016/j.media.2020.101839. Epub 2020 Oct 7. Med Image Anal. 2021. PMID: 33080508

3

Machine learning and radiology.

Wang S, Summers RM. Wang S, et al. Among authors: summers rm. Med Image Anal. 2012 Jul;16(5):933-51. doi: 10.1016/j.media.2012.02.005. Epub 2012 Feb 23. Med Image Anal. 2012. PMID: 22465077 Free PMC article. Review.

4

Automated abnormality classification of chest radiographs using deep convolutional neural networks.

Tang YX, Tang YB, Peng Y, Yan K, Bagheri M, Redd BA, Brandon CJ, Lu Z, Han M, Xiao J, Summers RM. Tang YX, et al. Among authors: summers rm. NPJ Digit Med. 2020 May 14;3:70. doi: 10.1038/s41746-020-0273-z. eCollection 2020. NPJ Digit Med. 2020. PMID: 32435698 Free PMC article.

5

Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images.

Wang S, Zhu Y, Lee S, Elton DC, Shen TC, Tang Y, Peng Y, Lu Z, Summers RM. Wang S, et al. Among authors: summers rm. Med Image Anal. 2022 Apr;77:102345. doi: 10.1016/j.media.2021.102345. Epub 2022 Jan 8. Med Image Anal. 2022. PMID: 35051899 Free PMC article.

6

Discriminative ensemble learning for few-shot chest x-ray diagnosis.

Paul A, Tang YX, Shen TC, Summers RM. Paul A, et al. Among authors: summers rm. Med Image Anal. 2021 Feb;68:101911. doi: 10.1016/j.media.2020.101911. Epub 2020 Nov 19. Med Image Anal. 2021. PMID: 33264714 Free PMC article.

7

Confounding factors need to be accounted for in assessing bias by machine learning algorithms.

Mukherjee P, Shen TC, Liu J, Mathai T, Shafaat O, Summers RM. Mukherjee P, et al. Among authors: summers rm. Nat Med. 2022 Jun;28(6):1159-1160. doi: 10.1038/s41591-022-01847-7. Epub 2022 Jun 16. Nat Med. 2022. PMID: 35710994 No abstract available.

8

Are we at a crossroads or a plateau? Radiomics and machine learning in abdominal oncology imaging.

Summers RM. Summers RM. Abdom Radiol (NY). 2019 Jun;44(6):1985-1989. doi: 10.1007/s00261-018-1613-1. Abdom Radiol (NY). 2019. PMID: 29730736

9

A Machine Learning Algorithm to Estimate Sarcopenia on Abdominal CT.

Burns JE, Yao J, Chalhoub D, Chen JJ, Summers RM. Burns JE, et al. Among authors: summers rm. Acad Radiol. 2020 Mar;27(3):311-320. doi: 10.1016/j.acra.2019.03.011. Epub 2019 May 22. Acad Radiol. 2020. PMID: 31126808

10

Preparing Medical Imaging Data for Machine Learning.

Willemink MJ, Koszek WA, Hardell C, Wu J, Fleischmann D, Harvey H, Folio LR, Summers RM, Rubin DL, Lungren MP. Willemink MJ, et al. Among authors: summers rm. Radiology. 2020 Apr;295(1):4-15. doi: 10.1148/radiol.2020192224. Epub 2020 Feb 18. Radiology. 2020. PMID: 32068507 Free PMC article.

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