Levman J - Search Results

1

Quantifying uncertainty in machine learning classifiers for medical imaging.

Valen J, Balki I, Mendez M, Qu W, Levman J, Bilbily A, Tyrrell PN. Valen J, et al. Among authors: levman j. Int J Comput Assist Radiol Surg. 2022 Apr;17(4):711-718. doi: 10.1007/s11548-022-02578-3. Epub 2022 Mar 12. Int J Comput Assist Radiol Surg. 2022. PMID: 35278156

2

Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review.

Balki I, Amirabadi A, Levman J, Martel AL, Emersic Z, Meden B, Garcia-Pedrero A, Ramirez SC, Kong D, Moody AR, Tyrrell PN. Balki I, et al. Among authors: levman j. Can Assoc Radiol J. 2019 Nov;70(4):344-353. doi: 10.1016/j.carj.2019.06.002. Epub 2019 Sep 12. Can Assoc Radiol J. 2019. PMID: 31522841 Free article.

3

Assessing and mitigating the effects of class imbalance in machine learning with application to X-ray imaging.

Qu W, Balki I, Mendez M, Valen J, Levman J, Tyrrell PN. Qu W, et al. Among authors: levman j. Int J Comput Assist Radiol Surg. 2020 Dec;15(12):2041-2048. doi: 10.1007/s11548-020-02260-6. Epub 2020 Sep 23. Int J Comput Assist Radiol Surg. 2020. PMID: 32965624

4

Hold-out validation for the assessment of stability and reliability of multivariable regression demonstrated with magnetic resonance imaging of patients with schizophrenia.

Levman J, Jennings M, Kabaria P, Rouse E, Nangaku M, Berger D, Gondra I, Takahashi E, Tyrrell P. Levman J, et al. Int J Dev Neurosci. 2021 Nov;81(7):655-662. doi: 10.1002/jdn.10144. Epub 2021 Aug 9. Int J Dev Neurosci. 2021. PMID: 34308560

5

Error Consistency for Machine Learning Evaluation and Validation with Application to Biomedical Diagnostics.

Levman J, Ewenson B, Apaloo J, Berger D, Tyrrell PN. Levman J, et al. Diagnostics (Basel). 2023 Apr 1;13(7):1315. doi: 10.3390/diagnostics13071315. Diagnostics (Basel). 2023. PMID: 37046533 Free PMC article.

6

Effect of the enhancement threshold on the computer-aided detection of breast cancer using MRI.

Levman JE, Causer P, Warner E, Martel AL. Levman JE, et al. Acad Radiol. 2009 Sep;16(9):1064-9. doi: 10.1016/j.acra.2009.03.018. Epub 2009 Jun 9. Acad Radiol. 2009. PMID: 19515584 Free PMC article.

7

Computer-aided diagnosis of breast cancer from magnetic resonance imaging examinations by custom radial basis function vector machine.

Levman J, Martel AL. Levman J, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:5577-80. doi: 10.1109/IEMBS.2010.5626792. Annu Int Conf IEEE Eng Med Biol Soc. 2010. PMID: 21096482

8

A margin sharpness measurement for the diagnosis of breast cancer from magnetic resonance imaging examinations.

Levman JE, Martel AL. Levman JE, et al. Acad Radiol. 2011 Dec;18(12):1577-81. doi: 10.1016/j.acra.2011.08.004. Epub 2011 Sep 29. Acad Radiol. 2011. PMID: 21958601

9

Cortical thickness in clinical moyamoya disease: A magnetic resonance imaging study.

Tompkins G, Levman J, Ijner P, Shiohama T, Takahashi E. Tompkins G, et al. Among authors: levman j. Int J Dev Neurosci. 2021 Dec;81(8):698-705. doi: 10.1002/jdn.10146. Epub 2021 Aug 26. Int J Dev Neurosci. 2021. PMID: 34370351

10

A morphological study of schizophrenia with magnetic resonance imaging, advanced analytics, and machine learning.

Levman J, Jennings M, Rouse E, Berger D, Kabaria P, Nangaku M, Gondra I, Takahashi E. Levman J, et al. Front Neurosci. 2022 Aug 15;16:926426. doi: 10.3389/fnins.2022.926426. eCollection 2022. Front Neurosci. 2022. PMID: 36046472 Free PMC article.

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