Kiraly AP - Search Results

1

Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists.

Kazemzadeh S, Yu J, Jamshy S, Pilgrim R, Nabulsi Z, Chen C, Beladia N, Lau C, McKinney SM, Hughes T, Kiraly AP, Kalidindi SR, Muyoyeta M, Malemela J, Shih T, Corrado GS, Peng L, Chou K, Chen PC, Liu Y, Eswaran K, Tse D, Shetty S, Prabhakara S. Kazemzadeh S, et al. Among authors: kiraly ap. Radiology. 2023 Jan;306(1):124-137. doi: 10.1148/radiol.212213. Epub 2022 Sep 6. Radiology. 2023. PMID: 36066366

2

Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19.

Nabulsi Z, Sellergren A, Jamshy S, Lau C, Santos E, Kiraly AP, Ye W, Yang J, Pilgrim R, Kazemzadeh S, Yu J, Kalidindi SR, Etemadi M, Garcia-Vicente F, Melnick D, Corrado GS, Peng L, Eswaran K, Tse D, Beladia N, Liu Y, Chen PC, Shetty S. Nabulsi Z, et al. Among authors: kiraly ap. Sci Rep. 2021 Sep 1;11(1):15523. doi: 10.1038/s41598-021-93967-2. Sci Rep. 2021. PMID: 34471144 Free PMC article.

3

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography.

Ardila D, Kiraly AP, Bharadwaj S, Choi B, Reicher JJ, Peng L, Tse D, Etemadi M, Ye W, Corrado G, Naidich DP, Shetty S. Ardila D, et al. Among authors: kiraly ap. Nat Med. 2019 Jun;25(6):954-961. doi: 10.1038/s41591-019-0447-x. Epub 2019 May 20. Nat Med. 2019. PMID: 31110349

4

Author Correction: End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography.

Ardila D, Kiraly AP, Bharadwaj S, Choi B, Reicher JJ, Peng L, Tse D, Etemadi M, Ye W, Corrado G, Naidich DP, Shetty S. Ardila D, et al. Among authors: kiraly ap. Nat Med. 2019 Aug;25(8):1319. doi: 10.1038/s41591-019-0536-x. Nat Med. 2019. PMID: 31253948

5

Hepatocellular carcinoma: response to TACE assessed with semiautomated volumetric and functional analysis of diffusion-weighted and contrast-enhanced MR imaging data.

Bonekamp S, Jolepalem P, Lazo M, Gulsun MA, Kiraly AP, Kamel IR. Bonekamp S, et al. Among authors: kiraly ap. Radiology. 2011 Sep;260(3):752-61. doi: 10.1148/radiol.11102330. Epub 2011 Jul 19. Radiology. 2011. PMID: 21771960

6

Histogram analysis of whole-lesion enhancement in differentiating clear cell from papillary subtype of renal cell cancer.

Chandarana H, Rosenkrantz AB, Mussi TC, Kim S, Ahmad AA, Raj SD, McMenamy J, Melamed J, Babb JS, Kiefer B, Kiraly AP. Chandarana H, et al. Among authors: kiraly ap. Radiology. 2012 Dec;265(3):790-8. doi: 10.1148/radiol.12111281. Radiology. 2012. PMID: 23175544

7

Reproducibility of dynamic contrast-enhanced MR imaging. Part II. Comparison of intra- and interobserver variability with manual region of interest placement versus semiautomatic lesion segmentation and histogram analysis.

Heye T, Merkle EM, Reiner CS, Davenport MS, Horvath JJ, Feuerlein S, Breault SR, Gall P, Bashir MR, Dale BM, Kiraly AP, Boll DT. Heye T, et al. Among authors: kiraly ap. Radiology. 2013 Mar;266(3):812-21. doi: 10.1148/radiol.12120255. Epub 2012 Dec 6. Radiology. 2013. PMID: 23220891

8

Boundary-specific cost functions for quantitative airway analysis.

Kiraly AP, Odry BL, Naidich DP, Novak CL. Kiraly AP, et al. Med Image Comput Comput Assist Interv. 2007;10(Pt 1):784-91. doi: 10.1007/978-3-540-75757-3_95. Med Image Comput Comput Assist Interv. 2007. PMID: 18051130

9

Automated CT scoring of airway diseases: preliminary results.

Odry BL, Kiraly AP, Godoy MC, Ko J, Naidich DP, Novak CL, Lerallut JF. Odry BL, et al. Among authors: kiraly ap. Acad Radiol. 2010 Sep;17(9):1136-45. doi: 10.1016/j.acra.2010.04.019. Epub 2010 Jun 23. Acad Radiol. 2010. PMID: 20576450

10

Computer-aided diagnosis of the airways: beyond nodule detection.

Kiraly AP, Odry BL, Godoy MC, Geiger B, Novak CL, Naidich DP. Kiraly AP, et al. J Thorac Imaging. 2008 May;23(2):105-13. doi: 10.1097/RTI.0b013e318174e8f5. J Thorac Imaging. 2008. PMID: 18520568 Review.

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