Sechopoulos I - Search Results

1

Stereoscopic digital mammography: improved specificity and reduced rate of recall in a prospective clinical trial.

D'Orsi CJ, Getty DJ, Pickett RM, Sechopoulos I, Newell MS, Gundry KR, Bates SR, Nishikawa RM, Sickles EA, Karellas A, D'Orsi EM. D'Orsi CJ, et al. Among authors: sechopoulos i. Radiology. 2013 Jan;266(1):81-8. doi: 10.1148/radiol.12120382. Epub 2012 Nov 13. Radiology. 2013. PMID: 23150865

2

Joint AAPM Task Group 282/EFOMP Working Group Report: Breast dosimetry for standard and contrast-enhanced mammography and breast tomosynthesis.

Sechopoulos I, Dance DR, Boone JM, Bosmans HT, Caballo M, Diaz O, van Engen R, Fedon C, Glick SJ, Hernandez AM, Hill ML, Hulme KW, Longo R, Rabin C, Sanderink WBG, Seibert JA. Sechopoulos I, et al. Med Phys. 2024 Feb;51(2):712-739. doi: 10.1002/mp.16842. Epub 2023 Nov 29. Med Phys. 2024. PMID: 38018710

3

Deep learning for x-ray scatter correction in dedicated breast CT.

Pautasso JJ, Caballo M, Mikerov M, Boone JM, Michielsen K, Sechopoulos I. Pautasso JJ, et al. Among authors: sechopoulos i. Med Phys. 2023 Apr;50(4):2022-2036. doi: 10.1002/mp.16185. Epub 2023 Jan 7. Med Phys. 2023. PMID: 36565012

4

Lesion detection in digital breast tomosynthesis: human reader experiments indicate no benefit from the integration of information from multiple planes.

Balta C, Reiser I, Broeders MJM, Veldkamp WJH, van Engen RE, Sechopoulos I. Balta C, et al. Among authors: sechopoulos i. J Med Imaging (Bellingham). 2023 Feb;10(Suppl 1):S11915. doi: 10.1117/1.JMI.10.S1.S11915. Epub 2023 Jun 26. J Med Imaging (Bellingham). 2023. PMID: 37378263

5

Technical performance of a dual-energy CT system with a novel deep-learning based reconstruction process: Evaluation using an abdomen protocol.

Oostveen LJ, Boedeker KL, Balta C, Shin D, de Lange F, Prokop M, Sechopoulos I. Oostveen LJ, et al. Among authors: sechopoulos i. Med Phys. 2023 Mar;50(3):1378-1389. doi: 10.1002/mp.16151. Epub 2022 Dec 29. Med Phys. 2023. PMID: 36502496

6

Development, validation, and simplification of a scanner-specific CT simulator.

Tunissen SAM, Oostveen LJ, Moriakov N, Teuwen J, Michielsen K, Smit EJ, Sechopoulos I. Tunissen SAM, et al. Among authors: sechopoulos i. Med Phys. 2024 Mar;51(3):2081-2095. doi: 10.1002/mp.16679. Epub 2023 Sep 1. Med Phys. 2024. PMID: 37656009 Free PMC article.

7

Deep learning-based breast region segmentation in raw and processed digital mammograms: generalization across views and vendors.

Verboom SD, Caballo M, Peters J, Gommers J, van den Oever D, Broeders MJM, Teuwen J, Sechopoulos I. Verboom SD, et al. Among authors: sechopoulos i. J Med Imaging (Bellingham). 2024 Jan;11(1):014001. doi: 10.1117/1.JMI.11.1.014001. Epub 2023 Dec 28. J Med Imaging (Bellingham). 2024. PMID: 38162417

8

Theoretical analysis of high-resolution digital mammography.

Suryanarayanan S, Karellas A, Vedantham S, Sechopoulos I. Suryanarayanan S, et al. Among authors: sechopoulos i. Phys Med Biol. 2006 Jun 21;51(12):3041-55. doi: 10.1088/0031-9155/51/12/003. Epub 2006 May 31. Phys Med Biol. 2006. PMID: 16757861

9

Computation of the glandular radiation dose in digital tomosynthesis of the breast.

Sechopoulos I, Suryanarayanan S, Vedantham S, D'Orsi C, Karellas A. Sechopoulos I, et al. Med Phys. 2007 Jan;34(1):221-32. doi: 10.1118/1.2400836. Med Phys. 2007. PMID: 17278508 Free PMC article.

10

Scatter radiation in digital tomosynthesis of the breast.

Sechopoulos I, Suryanarayanan S, Vedantham S, D'Orsi CJ, Karellas A. Sechopoulos I, et al. Med Phys. 2007 Feb;34(2):564-76. doi: 10.1118/1.2428404. Med Phys. 2007. PMID: 17388174 Free PMC article.

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