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114 results
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Data transformations for statistical assessment of quantitative imaging biomarkers: Application to lung nodule volumetry.
Gong Q, Li Q, Gavrielides MA, Petrick N. Gong Q, et al. Among authors: petrick n. Stat Methods Med Res. 2020 Sep;29(9):2749-2763. doi: 10.1177/0962280220908619. Epub 2020 Mar 5. Stat Methods Med Res. 2020. PMID: 32133924
Recurrent attention network for false positive reduction in the detection of pulmonary nodules in thoracic CT scans.
Farhangi MM, Petrick N, Sahiner B, Frigui H, Amini AA, Pezeshk A. Farhangi MM, et al. Among authors: petrick n. Med Phys. 2020 Jun;47(5):2150-2160. doi: 10.1002/mp.14076. Epub 2020 Mar 18. Med Phys. 2020. PMID: 32030769
Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learning.
Cha KH, Petrick N, Pezeshk A, Graff CG, Sharma D, Badal A, Sahiner B. Cha KH, et al. Among authors: petrick n. J Med Imaging (Bellingham). 2020 Jan;7(1):012703. doi: 10.1117/1.JMI.7.1.012703. Epub 2019 Nov 22. J Med Imaging (Bellingham). 2020. PMID: 31763356
A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop.
Allen B Jr, Seltzer SE, Langlotz CP, Dreyer KP, Summers RM, Petrick N, Marinac-Dabic D, Cruz M, Alkasab TK, Hanisch RJ, Nilsen WJ, Burleson J, Lyman K, Kandarpa K. Allen B Jr, et al. Among authors: petrick n. J Am Coll Radiol. 2019 Sep;16(9 Pt A):1179-1189. doi: 10.1016/j.jacr.2019.04.014. Epub 2019 May 28. J Am Coll Radiol. 2019. PMID: 31151893
Computational insertion of microcalcification clusters on mammograms: reader differentiation from native clusters and computer-aided detection comparison.
Ghanian Z, Pezeshk A, Petrick N, Sahiner B. Ghanian Z, et al. Among authors: petrick n. J Med Imaging (Bellingham). 2018 Oct;5(4):044502. doi: 10.1117/1.JMI.5.4.044502. Epub 2018 Nov 19. J Med Imaging (Bellingham). 2018. PMID: 30840741 Free PMC article.
PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images.
Armato SG 3rd, Huisman H, Drukker K, Hadjiiski L, Kirby JS, Petrick N, Redmond G, Giger ML, Cha K, Mamonov A, Kalpathy-Cramer J, Farahani K. Armato SG 3rd, et al. Among authors: petrick n. J Med Imaging (Bellingham). 2018 Oct;5(4):044501. doi: 10.1117/1.JMI.5.4.044501. Epub 2018 Nov 10. J Med Imaging (Bellingham). 2018. PMID: 30840739 Free PMC article.
Impact of prevalence and case distribution in lab-based diagnostic imaging studies.
Gallas BD, Chen W, Cole E, Ochs R, Petrick N, Pisano ED, Sahiner B, Samuelson FW, Myers KJ. Gallas BD, et al. Among authors: petrick n. J Med Imaging (Bellingham). 2019 Jan;6(1):015501. doi: 10.1117/1.JMI.6.1.015501. Epub 2019 Jan 21. J Med Imaging (Bellingham). 2019. PMID: 30713851 Free PMC article.
3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT.
Pezeshk A, Hamidian S, Petrick N, Sahiner B. Pezeshk A, et al. Among authors: petrick n. IEEE J Biomed Health Inform. 2019 Sep;23(5):2080-2090. doi: 10.1109/JBHI.2018.2879449. Epub 2018 Nov 9. IEEE J Biomed Health Inform. 2019. PMID: 30418929
Discrimination of Pulmonary Nodule Volume Change for Low- and High-contrast Tasks in a Phantom CT Study with Low-dose Protocols.
Gavrielides MA, Li Q, Zeng R, Berman BP, Sahiner B, Gong Q, Myers KJ, DeFilippo G, Petrick N. Gavrielides MA, et al. Among authors: petrick n. Acad Radiol. 2019 Jul;26(7):937-948. doi: 10.1016/j.acra.2018.09.006. Epub 2018 Oct 3. Acad Radiol. 2019. PMID: 30292564
Evaluation of Simulated Lesions as Surrogates to Clinical Lesions for Thoracic CT Volumetry: The Results of an International Challenge.
Robins M, Kalpathy-Cramer J, Obuchowski NA, Buckler A, Athelogou M, Jarecha R, Petrick N, Pezeshk A, Sahiner B, Samei E. Robins M, et al. Among authors: petrick n. Acad Radiol. 2019 Jul;26(7):e161-e173. doi: 10.1016/j.acra.2018.07.022. Epub 2018 Sep 12. Acad Radiol. 2019. PMID: 30219290 Free PMC article. Clinical Trial.
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