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Items: 12

1.

CT image segmentation of bone for medical additive manufacturing using a convolutional neural network.

Minnema J, van Eijnatten M, Kouw W, Diblen F, Mendrik A, Wolff J.

Comput Biol Med. 2018 Dec 1;103:130-139. doi: 10.1016/j.compbiomed.2018.10.012. Epub 2018 Oct 16.

PMID:
30366309
2.

Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI.

Moeskops P, de Bresser J, Kuijf HJ, Mendrik AM, Biessels GJ, Pluim JPW, Išgum I.

Neuroimage Clin. 2017 Oct 12;17:251-262. doi: 10.1016/j.nicl.2017.10.007. eCollection 2018.

3.

Robustness of Automated Methods for Brain Volume Measurements across Different MRI Field Strengths.

Heinen R, Bouvy WH, Mendrik AM, Viergever MA, Biessels GJ, de Bresser J.

PLoS One. 2016 Oct 31;11(10):e0165719. doi: 10.1371/journal.pone.0165719. eCollection 2016.

4.

Automatic brain tissue segmentation in MR images using Random Forests and Conditional Random Fields.

Pereira S, Pinto A, Oliveira J, Mendrik AM, Correia JH, Silva CA.

J Neurosci Methods. 2016 Sep 1;270:111-123. doi: 10.1016/j.jneumeth.2016.06.017. Epub 2016 Jun 18.

PMID:
27329005
5.

Automatic Segmentation of MR Brain Images With a Convolutional Neural Network.

Moeskops P, Viergever MA, Mendrik AM, de Vries LS, Benders MJ, Isgum I.

IEEE Trans Med Imaging. 2016 May;35(5):1252-1261. doi: 10.1109/TMI.2016.2548501. Epub 2016 Mar 30.

PMID:
27046893
6.

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans.

Mendrik AM, Vincken KL, Kuijf HJ, Breeuwer M, Bouvy WH, de Bresser J, Alansary A, de Bruijne M, Carass A, El-Baz A, Jog A, Katyal R, Khan AR, van der Lijn F, Mahmood Q, Mukherjee R, van Opbroek A, Paneri S, Pereira S, Persson M, Rajchl M, Sarikaya D, Smedby Ö, Silva CA, Vrooman HA, Vyas S, Wang C, Zhao L, Biessels GJ, Viergever MA.

Comput Intell Neurosci. 2015;2015:813696. doi: 10.1155/2015/813696. Epub 2015 Dec 2.

7.

Total bolus extraction method improves arterial image quality in dynamic CTAs derived from whole-brain CTP data.

Ghariq E, Mendrik AM, Willems PW, Joemai RM, Ghariq E, Vonken EJ, van Osch MJ, van Walderveen MA.

Biomed Res Int. 2014;2014:603173. doi: 10.1155/2014/603173. Epub 2014 Jul 16.

8.

Improved arterial visualization in cerebral CT perfusion-derived arteriograms compared with standard CT angiography: a visual assessment study.

Mendrik AM, Vonken EP, de Kort GA, van Ginneken B, Smit EJ, Viergever MA, Prokop M.

AJNR Am J Neuroradiol. 2012 Dec;33(11):2171-7. doi: 10.3174/ajnr.A3118. Epub 2012 May 24.

9.

Timing-invariant reconstruction for deriving high-quality CT angiographic data from cerebral CT perfusion data.

Smit EJ, Vonken EJ, van der Schaaf IC, Mendrik AM, Dankbaar JW, Horsch AD, van Seeters T, van Ginneken B, Prokop M.

Radiology. 2012 Apr;263(1):216-25. doi: 10.1148/radiol.11111068. Epub 2012 Feb 13.

PMID:
22332063
10.

TIPS bilateral noise reduction in 4D CT perfusion scans produces high-quality cerebral blood flow maps.

Mendrik AM, Vonken EJ, van Ginneken B, de Jong HW, Riordan A, van Seeters T, Smit EJ, Viergever MA, Prokop M.

Phys Med Biol. 2011 Jul 7;56(13):3857-72. doi: 10.1088/0031-9155/56/13/008. Epub 2011 Jun 8.

PMID:
21654042
11.

Automatic segmentation of intracranial arteries and veins in four-dimensional cerebral CT perfusion scans.

Mendrik A, Vonken EJ, van Ginneken B, Smit E, Waaije A, Bertolini G, Viergever MA, Prokop M.

Med Phys. 2010 Jun;37(6):2956-66.

PMID:
20632608
12.

Noise reduction in computed tomography scans using 3-d anisotropic hybrid diffusion with continuous switch.

Mendrik AM, Vonken EJ, Rutten A, Viergever MA, van Ginneken B.

IEEE Trans Med Imaging. 2009 Oct;28(10):1585-94. doi: 10.1109/TMI.2009.2022368.

PMID:
19783496

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