Snoeren MM - Search Results

1

Increase in perceived case suspiciousness due to local contrast optimisation in digital screening mammography.

Visser R, Veldkamp WJ, Beijerinck D, Bun PA, Deurenberg JJ, Imhof-Tas MW, Schuur KH, Snoeren MM, den Heeten GJ, Karssemeijer N, Broeders MJ. Visser R, et al. Among authors: snoeren mm. Eur Radiol. 2012 Apr;22(4):908-14. doi: 10.1007/s00330-011-2320-2. Epub 2011 Nov 10. Eur Radiol. 2012. PMID: 22071778 Free PMC article.

2

Bone suppressed images improve radiologists' detection performance for pulmonary nodules in chest radiographs.

Schalekamp S, van Ginneken B, Meiss L, Peters-Bax L, Quekel LG, Snoeren MM, Tiehuis AM, Wittenberg R, Karssemeijer N, Schaefer-Prokop CM. Schalekamp S, et al. Among authors: snoeren mm. Eur J Radiol. 2013 Dec;82(12):2399-405. doi: 10.1016/j.ejrad.2013.09.016. Epub 2013 Sep 25. Eur J Radiol. 2013. PMID: 24113431

3

Computer-aided detection improves detection of pulmonary nodules in chest radiographs beyond the support by bone-suppressed images.

Schalekamp S, van Ginneken B, Koedam E, Snoeren MM, Tiehuis AM, Wittenberg R, Karssemeijer N, Schaefer-Prokop CM. Schalekamp S, et al. Among authors: snoeren mm. Radiology. 2014 Jul;272(1):252-61. doi: 10.1148/radiol.14131315. Epub 2014 Mar 12. Radiology. 2014. PMID: 24635675

4

Bone suppression increases the visibility of invasive pulmonary aspergillosis in chest radiographs.

Schalekamp S, van Ginneken B, van den Berk IA, Hartmann IJ, Snoeren MM, Odink AE, van Lankeren W, Pegge SA, Schijf LJ, Karssemeijer N, Schaefer-Prokop CM. Schalekamp S, et al. Among authors: snoeren mm. PLoS One. 2014 Oct 3;9(10):e108551. doi: 10.1371/journal.pone.0108551. eCollection 2014. PLoS One. 2014. PMID: 25279774 Free PMC article.

5

Iodine Maps from Subtraction CT or Dual-Energy CT to Detect Pulmonary Emboli with CT Angiography: A Multiple-Observer Study.

Grob D, Smit E, Prince J, Kist J, Stöger L, Geurts B, Snoeren MM, van Dijk R, Oostveen LJ, Prokop M, Schaefer-Prokop CM, Sechopoulos I, Brink M. Grob D, et al. Among authors: snoeren mm. Radiology. 2019 Jul;292(1):197-205. doi: 10.1148/radiol.2019182666. Epub 2019 May 14. Radiology. 2019. PMID: 31084482

6

Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management.

van Riel SJ, Sánchez CI, Bankier AA, Naidich DP, Verschakelen J, Scholten ET, de Jong PA, Jacobs C, van Rikxoort E, Peters-Bax L, Snoeren M, Prokop M, van Ginneken B, Schaefer-Prokop C. van Riel SJ, et al. Radiology. 2015 Dec;277(3):863-71. doi: 10.1148/radiol.2015142700. Epub 2015 May 22. Radiology. 2015. PMID: 26020438

7

The role of (18)F-FDG PET in the differentiation between lung metastases and synchronous second primary lung tumours.

Dijkman BG, Schuurbiers OC, Vriens D, Looijen-Salamon M, Bussink J, Timmer-Bonte JN, Snoeren MM, Oyen WJ, van der Heijden HF, de Geus-Oei LF. Dijkman BG, et al. Among authors: snoeren mm. Eur J Nucl Med Mol Imaging. 2010 Nov;37(11):2037-47. doi: 10.1007/s00259-010-1505-2. Epub 2010 Jun 10. Eur J Nucl Med Mol Imaging. 2010. PMID: 20533031 Free PMC article.

8

Malignancy risk estimation of pulmonary nodules in screening CTs: Comparison between a computer model and human observers.

van Riel SJ, Ciompi F, Winkler Wille MM, Dirksen A, Lam S, Scholten ET, Rossi SE, Sverzellati N, Naqibullah M, Wittenberg R, Hovinga-de Boer MC, Snoeren M, Peters-Bax L, Mets O, Brink M, Prokop M, Schaefer-Prokop C, van Ginneken B. van Riel SJ, et al. Among authors: snoeren m. PLoS One. 2017 Nov 9;12(11):e0185032. doi: 10.1371/journal.pone.0185032. eCollection 2017. PLoS One. 2017. PMID: 29121063 Free PMC article.

9

Oesophageal dilatation on high-resolution computed tomography scan of the lungs as a sign of scleroderma.

Vonk MC, van Die CE, Snoeren MM, Bhansing KJ, van Riel PL, Fransen J, van den Hoogen FH. Vonk MC, et al. Among authors: snoeren mm. Ann Rheum Dis. 2008 Sep;67(9):1317-21. doi: 10.1136/ard.2007.081612. Epub 2007 Dec 28. Ann Rheum Dis. 2008. PMID: 18165322

10

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.

Setio AAA, Traverso A, de Bel T, Berens MSN, Bogaard CVD, Cerello P, Chen H, Dou Q, Fantacci ME, Geurts B, Gugten RV, Heng PA, Jansen B, de Kaste MMJ, Kotov V, Lin JY, Manders JTMC, Sóñora-Mengana A, García-Naranjo JC, Papavasileiou E, Prokop M, Saletta M, Schaefer-Prokop CM, Scholten ET, Scholten L, Snoeren MM, Torres EL, Vandemeulebroucke J, Walasek N, Zuidhof GCA, Ginneken BV, Jacobs C. Setio AAA, et al. Among authors: snoeren mm. Med Image Anal. 2017 Dec;42:1-13. doi: 10.1016/j.media.2017.06.015. Epub 2017 Jul 13. Med Image Anal. 2017. PMID: 28732268

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