Slomka PJ - Search Results

1

Deep Learning-Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects.

Eisenberg E, McElhinney PA, Commandeur F, Chen X, Cadet S, Goeller M, Razipour A, Gransar H, Cantu S, Miller RJH, Slomka PJ, Wong ND, Rozanski A, Achenbach S, Tamarappoo BK, Berman DS, Dey D. Eisenberg E, et al. Among authors: slomka pj. Circ Cardiovasc Imaging. 2020 Feb;13(2):e009829. doi: 10.1161/CIRCIMAGING.119.009829. Epub 2020 Feb 17. Circ Cardiovasc Imaging. 2020. PMID: 32063057 Free PMC article. Clinical Trial.

2

Review of instrumentation developments at the SNM 1996 annual meeting.

Slomka P, Dey D. Slomka P, et al. J Nucl Med. 1996 Sep;37(9):25N-26N, 31N-33N. J Nucl Med. 1996. PMID: 8790185 Free article. No abstract available.

3

Comparison of ordered subsets expectation maximization and Chang's attenuation correction method in quantitative cardiac SPET: a phantom study.

Dey D, Slomka PJ, Hahn LJ, Kloiber R. Dey D, et al. Among authors: slomka pj. Nucl Med Commun. 1998 Dec;19(12):1149-57. doi: 10.1097/00006231-199812000-00007. Nucl Med Commun. 1998. PMID: 9885805

4

Automatic three-dimensional multimodality registration using radionuclide transmission CT attenuation maps: a phantom study.

Dey D, Slomka PJ, Hahn LJ, Kloiber R. Dey D, et al. Among authors: slomka pj. J Nucl Med. 1999 Mar;40(3):448-55. J Nucl Med. 1999. PMID: 10086710 Free article.

5

Automated three-dimensional quantification of myocardial perfusion and brain SPECT.

Slomka PJ, Radau P, Hurwitz GA, Dey D. Slomka PJ, et al. Comput Med Imaging Graph. 2001 Mar-Apr;25(2):153-64. doi: 10.1016/s0895-6111(00)00044-6. Comput Med Imaging Graph. 2001. PMID: 11137792

6

Automatic fusion of freehand endoscopic brain images to three-dimensional surfaces: creating stereoscopic panoramas.

Dey D, Gobbi DG, Slomka PJ, Surry KJ, Peters TM. Dey D, et al. Among authors: slomka pj. IEEE Trans Med Imaging. 2002 Jan;21(1):23-30. doi: 10.1109/42.981231. IEEE Trans Med Imaging. 2002. PMID: 11842826

7

Automatic quantification of myocardial perfusion stress-rest change: a new measure of ischemia.

Slomka PJ, Nishina H, Berman DS, Kang X, Friedman JD, Hayes SW, Aladl UE, Germano G. Slomka PJ, et al. J Nucl Med. 2004 Feb;45(2):183-91. J Nucl Med. 2004. PMID: 14960634 Free article. Clinical Trial.

8

"Motion-frozen" display and quantification of myocardial perfusion.

Slomka PJ, Nishina H, Berman DS, Kang X, Akincioglu C, Friedman JD, Hayes SW, Aladl UE, Germano G. Slomka PJ, et al. J Nucl Med. 2004 Jul;45(7):1128-34. J Nucl Med. 2004. PMID: 15235058 Free article.

9

Acceleration of 3D, nonlinear warping using standard video graphics hardware: implementation and initial validation.

Levin D, Dey D, Slomka PJ. Levin D, et al. Among authors: slomka pj. Comput Med Imaging Graph. 2004 Dec;28(8):471-83. doi: 10.1016/j.compmedimag.2004.07.005. Comput Med Imaging Graph. 2004. PMID: 15541954

10

Quantification of serial changes in myocardial perfusion.

Slomka PJ, Berman DS, Germano G. Slomka PJ, et al. J Nucl Med. 2004 Dec;45(12):1978-80. J Nucl Med. 2004. PMID: 15585470 Free article. No abstract available.

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