Tustison NJ - Search Results

1

Deep Learning-based Quantification of Abdominal Subcutaneous and Visceral Fat Volume on CT Images.

Grainger AT, Krishnaraj A, Quinones MH, Tustison NJ, Epstein S, Fuller D, Jha A, Allman KL, Shi W. Grainger AT, et al. Among authors: tustison nj. Acad Radiol. 2021 Nov;28(11):1481-1487. doi: 10.1016/j.acra.2020.07.010. Epub 2020 Aug 6. Acad Radiol. 2021. PMID: 32771313 Free PMC article.

2

The ANTsX Ecosystem for Mapping the Mouse Brain.

Tustison NJ, Chen M, Kronman FN, Duda JT, Gamlin C, Tustison MG, Kunst M, Dalley R, Sorensen SA, Wang Q, Ng L, Kim Y, Gee JC. Tustison NJ, et al. bioRxiv [Preprint]. 2024 May 1:2024.05.01.592056. doi: 10.1101/2024.05.01.592056. bioRxiv. 2024. PMID: 38746199 Free PMC article. Preprint.

3

Multivariate Residualization in Medical Imaging Analysis.

Donovan K, Tustison NJ, Linn KA, Shinohara RT; Alzheimer’s Disease Neuroimaging Initiative. Donovan K, et al. Among authors: tustison nj. bioRxiv [Preprint]. 2023 Feb 15:2023.02.15.528657. doi: 10.1101/2023.02.15.528657. bioRxiv. 2023. PMID: 36824801 Free PMC article. Preprint.

4

Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images.

Guo S, Lai C, Wu C, Cen G; Alzheimer's Disease Neuroimaging Initiative. Guo S, et al. Front Aging Neurosci. 2017 May 18;9:146. doi: 10.3389/fnagi.2017.00146. eCollection 2017. Front Aging Neurosci. 2017. PMID: 28572766 Free PMC article.

5

Pulmonary kinematics from image data: a review.

Tustison NJ, Cook TS, Song G, Gee JC. Tustison NJ, et al. Acad Radiol. 2011 Apr;18(4):402-17. doi: 10.1016/j.acra.2010.10.019. Acad Radiol. 2011. PMID: 21377592 Review.

6

Computational analysis of thoracic multidetector row HRCT for segmentation and quantification of small airway air trapping and emphysema in obstructive pulmonary disease.

Barbosa EM Jr, Song G, Tustison N, Kreider M, Gee JC, Gefter WB, Torigian DA. Barbosa EM Jr, et al. Acad Radiol. 2011 Oct;18(10):1258-69. doi: 10.1016/j.acra.2011.06.004. Acad Radiol. 2011. PMID: 21893294

7

Probing Changes in Lung Physiology in COPD Using CT, Perfusion MRI, and Hyperpolarized Xenon-129 MRI.

Qing K, Tustison NJ, Mugler JP 3rd, Mata JF, Lin Z, Zhao L, Wang D, Feng X, Shin JY, Callahan SJ, Bergman MP, Ruppert K, Altes TA, Cassani JM, Shim YM. Qing K, et al. Among authors: tustison nj. Acad Radiol. 2019 Mar;26(3):326-334. doi: 10.1016/j.acra.2018.05.025. Epub 2018 Aug 5. Acad Radiol. 2019. PMID: 30087065 Free PMC article.

8

Convolutional Neural Networks with Template-Based Data Augmentation for Functional Lung Image Quantification.

Tustison NJ, Avants BB, Lin Z, Feng X, Cullen N, Mata JF, Flors L, Gee JC, Altes TA, Mugler Iii JP, Qing K. Tustison NJ, et al. Acad Radiol. 2019 Mar;26(3):412-423. doi: 10.1016/j.acra.2018.08.003. Epub 2018 Sep 6. Acad Radiol. 2019. PMID: 30195415 Free PMC article.

9

Deep learning-based quantification of abdominal fat on magnetic resonance images.

Grainger AT, Tustison NJ, Qing K, Roy R, Berr SS, Shi W. Grainger AT, et al. Among authors: tustison nj. PLoS One. 2018 Sep 20;13(9):e0204071. doi: 10.1371/journal.pone.0204071. eCollection 2018. PLoS One. 2018. PMID: 30235253 Free PMC article.

10

Deep convolutional neural network for segmentation of thoracic organs-at-risk using cropped 3D images.

Feng X, Qing K, Tustison NJ, Meyer CH, Chen Q. Feng X, et al. Among authors: tustison nj. Med Phys. 2019 May;46(5):2169-2180. doi: 10.1002/mp.13466. Epub 2019 Mar 21. Med Phys. 2019. PMID: 30830685

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