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Items: 16

1.

Automatic and efficient MRI-US segmentations for improving intraoperative image fusion in image-guided neurosurgery.

Nitsch J, Klein J, Dammann P, Wrede K, Gembruch O, Moltz JH, Meine H, Sure U, Kikinis R, Miller D.

Neuroimage Clin. 2019;22:101766. doi: 10.1016/j.nicl.2019.101766. Epub 2019 Mar 12.

2.

Uncertainty-aware asynchronous scattered motion interpolation using Gaussian process regression.

Kocev B, Hahn HK, Linsen L, Wells WM, Kikinis R.

Comput Med Imaging Graph. 2019 Mar;72:1-12. doi: 10.1016/j.compmedimag.2018.12.001. Epub 2018 Dec 21.

PMID:
30654093
3.

Implementing the DICOM Standard for Digital Pathology.

Herrmann MD, Clunie DA, Fedorov A, Doyle SW, Pieper S, Klepeis V, Le LP, Mutter GL, Milstone DS, Schultz TJ, Kikinis R, Kotecha GK, Hwang DH, Andriole KP, Iafrate AJ, Brink JA, Boland GW, Dreyer KJ, Michalski M, Golden JA, Louis DN, Lennerz JK.

J Pathol Inform. 2018 Nov 2;9:37. doi: 10.4103/jpi.jpi_42_18. eCollection 2018.

4.

An annotated test-retest collection of prostate multiparametric MRI.

Fedorov A, Schwier M, Clunie D, Herz C, Pieper S, Kikinis R, Tempany C, Fennessy F.

Sci Data. 2018 Dec 4;5:180281. doi: 10.1038/sdata.2018.281.

5.

Selection of Fitting Model and Arterial Input Function for Repeatability in Dynamic Contrast-Enhanced Prostate MRI.

Peled S, Vangel M, Kikinis R, Tempany CM, Fennessy FM, Fedorov A.

Acad Radiol. 2019 Sep;26(9):e241-e251. doi: 10.1016/j.acra.2018.10.018. Epub 2018 Nov 20.

PMID:
30467073
6.

Interaction with Volume-Rendered Three-Dimensional Echocardiographic Images in Virtual Reality.

Lasso A, Nam HH, Dinh PV, Pinter C, Fillion-Robin JC, Pieper S, Jhaveri S, Vimort JB, Martin K, Asselin M, McGowan FX, Kikinis R, Fichtinger G, Jolley MA.

J Am Soc Echocardiogr. 2018 Oct;31(10):1158-1160. doi: 10.1016/j.echo.2018.06.011. Epub 2018 Aug 6. No abstract available.

PMID:
30093145
7.

dcmqi: An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM.

Herz C, Fillion-Robin JC, Onken M, Riesmeier J, Lasso A, Pinter C, Fichtinger G, Pieper S, Clunie D, Kikinis R, Fedorov A.

Cancer Res. 2017 Nov 1;77(21):e87-e90. doi: 10.1158/0008-5472.CAN-17-0336.

8.

Auditory display as feedback for a novel eye-tracking system for sterile operating room interaction.

Black D, Unger M, Fischer N, Kikinis R, Hahn H, Neumuth T, Glaser B.

Int J Comput Assist Radiol Surg. 2018 Jan;13(1):37-45. doi: 10.1007/s11548-017-1677-3. Epub 2017 Oct 27.

9.

Auditory display for fluorescence-guided open brain tumor surgery.

Black D, Hahn HK, Kikinis R, Wårdell K, Haj-Hosseini N.

Int J Comput Assist Radiol Surg. 2018 Jan;13(1):25-35. doi: 10.1007/s11548-017-1667-5. Epub 2017 Sep 19.

10.

A Survey of auditory display in image-guided interventions.

Black D, Hansen C, Nabavi A, Kikinis R, Hahn H.

Int J Comput Assist Radiol Surg. 2017 Oct;12(10):1665-1676. doi: 10.1007/s11548-017-1547-z. Epub 2017 Mar 8. Review.

11.

Auditory feedback to support image-guided medical needle placement.

Black D, Hettig J, Luz M, Hansen C, Kikinis R, Hahn H.

Int J Comput Assist Radiol Surg. 2017 Sep;12(9):1655-1663. doi: 10.1007/s11548-017-1537-1. Epub 2017 Feb 17.

12.

Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience.

Kapur T, Pieper S, Fedorov A, Fillion-Robin JC, Halle M, O'Donnell L, Lasso A, Ungi T, Pinter C, Finet J, Pujol S, Jagadeesan J, Tokuda J, Norton I, Estepar RSJ, Gering D, Aerts HJWL, Jakab M, Hata N, Ibanez L, Blezek D, Miller J, Aylward S, Grimson WEL, Fichtinger G, Wells WM, Lorensen WE, Schroeder W, Kikinis R.

Med Image Anal. 2016 Oct;33:176-180. doi: 10.1016/j.media.2016.06.035. Epub 2016 Jul 7.

13.

DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research.

Fedorov A, Clunie D, Ulrich E, Bauer C, Wahle A, Brown B, Onken M, Riesmeier J, Pieper S, Kikinis R, Buatti J, Beichel RR.

PeerJ. 2016 May 24;4:e2057. doi: 10.7717/peerj.2057. eCollection 2016.

14.

Bolus arrival time and its effect on tissue characterization with dynamic contrast-enhanced magnetic resonance imaging.

Mehrtash A, Gupta SN, Shanbhag D, Miller JV, Kapur T, Fennessy FM, Kikinis R, Fedorov A.

J Med Imaging (Bellingham). 2016 Jan;3(1):014503. doi: 10.1117/1.JMI.3.1.014503. Epub 2016 Mar 1.

15.

Biomechanical model for computing deformations for whole-body image registration: A meshless approach.

Li M, Miller K, Joldes GR, Kikinis R, Wittek A.

Int J Numer Method Biomed Eng. 2016 Dec;32(12). doi: 10.1002/cnm.2771. Epub 2016 Mar 14.

16.

Patient-specific biomechanical model as whole-body CT image registration tool.

Li M, Miller K, Joldes GR, Doyle B, Garlapati RR, Kikinis R, Wittek A.

Med Image Anal. 2015 May;22(1):22-34. doi: 10.1016/j.media.2014.12.008. Epub 2015 Jan 30.

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