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Items: 1 to 50 of 368

1.

MRI Atlas of the Human Deep Brain.

Lemaire JJ, De Salles A, Coll G, El Ouadih Y, Chaix R, Coste J, Durif F, Makris N, Kikinis R.

Front Neurol. 2019 Aug 27;10:851. doi: 10.3389/fneur.2019.00851. eCollection 2019.

2.

Biomechanical modeling and computer simulation of the brain during neurosurgery.

Miller K, Joldes GR, Bourantas G, Warfield SK, Hyde DE, Kikinis R, Wittek A.

Int J Numer Method Biomed Eng. 2019 Oct;35(10):e3250. doi: 10.1002/cnm.3250. Epub 2019 Sep 5. Review.

PMID:
31400252
3.

Segmentation-based registration of ultrasound volumes for glioma resection in image-guided neurosurgery.

Canalini L, Klein J, Miller D, Kikinis R.

Int J Comput Assist Radiol Surg. 2019 Oct;14(10):1697-1713. doi: 10.1007/s11548-019-02045-6. Epub 2019 Aug 7.

4.

Fully automatic catheter segmentation in MRI with 3D convolutional neural networks: application to MRI-guided gynecologic brachytherapy.

Zaffino P, Pernelle G, Mastmeyer A, Mehrtash A, Zhang H, Kikinis R, Kapur T, Francesca Spadea M.

Phys Med Biol. 2019 Aug 14;64(16):165008. doi: 10.1088/1361-6560/ab2f47.

PMID:
31272095
5.

Repeatability of Multiparametric Prostate MRI Radiomics Features.

Schwier M, van Griethuysen J, Vangel MG, Pieper S, Peled S, Tempany C, Aerts HJWL, Kikinis R, Fennessy FM, Fedorov A.

Sci Rep. 2019 Jul 1;9(1):9441. doi: 10.1038/s41598-019-45766-z.

6.

Open Source Platform for Transperineal In-bore MRI-guided Targeted Prostate Biopsy.

Herz C, MacNeil K, Behringer PA, Tokuda J, Mehrtash A, Mousavi P, Kikinis R, Fennessy FM, Tempany CM, Tuncali K, Fedorov A.

IEEE Trans Biomed Eng. 2019 May 23. doi: 10.1109/TBME.2019.2918731. [Epub ahead of print]

PMID:
31135342
7.

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.

8.

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
9.

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.

10.

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.

11.

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
12.

Multimodal image registration for liver radioembolization planning and patient assessment.

Spahr N, Thoduka S, Abolmaali N, Kikinis R, Schenk A.

Int J Comput Assist Radiol Surg. 2019 Feb;14(2):215-225. doi: 10.1007/s11548-018-1877-5. Epub 2018 Oct 22.

13.

Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy.

Mehrtash A, Ghafoorian M, Pernelle G, Ziaei A, Heslinga FG, Tuncali K, Fedorov A, Kikinis R, Tempany CM, Wells WM, Abolmaesumi P, Kapur T.

IEEE Trans Med Imaging. 2019 Apr;38(4):1026-1036. doi: 10.1109/TMI.2018.2876796. Epub 2018 Oct 18.

14.

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.

15.

Multimodal Image-Based Virtual Reality Presurgical Simulation and Evaluation for Trigeminal Neuralgia and Hemifacial Spasm.

Yao S, Zhang J, Zhao Y, Hou Y, Xu X, Zhang Z, Kikinis R, Chen X.

World Neurosurg. 2018 May;113:e499-e507. doi: 10.1016/j.wneu.2018.02.069. Epub 2018 Feb 21.

PMID:
29476993
16.

SlicerDMRI: Open Source Diffusion MRI Software for Brain Cancer Research.

Norton I, Essayed W, Zhang F, Pujol S, Yarmarkovich A, Golby AJ, Kindlmann G, Wassermann D, Estepar RSJ, Rathi Y, Pieper S, Kikinis R, Johnson HJ, Westin CF, O'Donnell LJ.

Cancer Res. 2017 Nov 1;77(21):e101-e103. doi: 10.1158/0008-5472.CAN-17-0332. Erratum in: Cancer Res. 2018 May 1;78(9):2445.

17.

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.

18.

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.

19.

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.

20.

Surgical data science for next-generation interventions.

Maier-Hein L, Vedula SS, Speidel S, Navab N, Kikinis R, Park A, Eisenmann M, Feussner H, Forestier G, Giannarou S, Hashizume M, Katic D, Kenngott H, Kranzfelder M, Malpani A, März K, Neumuth T, Padoy N, Pugh C, Schoch N, Stoyanov D, Taylor R, Wagner M, Hager GD, Jannin P.

Nat Biomed Eng. 2017 Sep;1(9):691-696. doi: 10.1038/s41551-017-0132-7. No abstract available.

21.

The Open Anatomy Browser: A Collaborative Web-Based Viewer for Interoperable Anatomy Atlases.

Halle M, Demeusy V, Kikinis R.

Front Neuroinform. 2017 Mar 27;11:22. doi: 10.3389/fninf.2017.00022. eCollection 2017.

22.

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.

23.

Instrument-mounted displays for reducing cognitive load during surgical navigation.

Herrlich M, Tavakol P, Black D, Wenig D, Rieder C, Malaka R, Kikinis R.

Int J Comput Assist Radiol Surg. 2017 Sep;12(9):1599-1605. doi: 10.1007/s11548-017-1540-6. Epub 2017 Feb 23.

24.

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.

25.

In vivo Exploration of the Connectivity between the Subthalamic Nucleus and the Globus Pallidus in the Human Brain Using Multi-Fiber Tractography.

Pujol S, Cabeen R, Sébille SB, Yelnik J, François C, Fernandez Vidal S, Karachi C, Zhao Y, Cosgrove GR, Jannin P, Kikinis R, Bardinet E.

Front Neuroanat. 2017 Jan 19;10:119. doi: 10.3389/fnana.2016.00119. eCollection 2016.

26.

Development of a surgical navigation system based on 3D Slicer for intraoperative implant placement surgery.

Chen X, Xu L, Wang H, Wang F, Wang Q, Kikinis R.

Med Eng Phys. 2017 Mar;41:81-89. doi: 10.1016/j.medengphy.2017.01.005. Epub 2017 Jan 18.

27.

Multimodal neuroimaging computing: the workflows, methods, and platforms.

Liu S, Cai W, Liu S, Zhang F, Fulham M, Feng D, Pujol S, Kikinis R.

Brain Inform. 2015 Sep;2(3):181-195. Epub 2015 Sep 4. Review.

28.

Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders.

Liu S, Cai W, Liu S, Zhang F, Fulham M, Feng D, Pujol S, Kikinis R.

Brain Inform. 2015 Sep;2(3):167-180. Epub 2015 Aug 29. Review.

29.

Dictionary Pruning with Visual Word Significance for Medical Image Retrieval.

Zhang F, Song Y, Cai W, Hauptmann AG, Liu S, Pujol S, Kikinis R, Fulham MJ, Feng DD, Chen M.

Neurocomputing. 2016 Feb 12;177:75-88. Epub 2015 Nov 17.

30.

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.

31.

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.

32.

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.

33.

Cross-View Neuroimage Pattern Analysis in Alzheimer's Disease Staging.

Liu S, Cai W, Pujol S, Kikinis R, Feng DD; Alzheimer's Disease Neuroimaging Initiative.

Front Aging Neurosci. 2016 Feb 23;8:23. doi: 10.3389/fnagi.2016.00023. eCollection 2016.

34.

Using 3D Modeling Techniques to Enhance Teaching of Difficult Anatomical Concepts.

Pujol S, Baldwin M, Nassiri J, Kikinis R, Shaffer K.

Acad Radiol. 2016 Apr;23(4):507-16. doi: 10.1016/j.acra.2015.12.012. Epub 2016 Feb 17.

35.

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.

36.

The white matter query language: a novel approach for describing human white matter anatomy.

Wassermann D, Makris N, Rathi Y, Shenton M, Kikinis R, Kubicki M, Westin CF.

Brain Struct Funct. 2016 Dec;221(9):4705-4721. Epub 2016 Jan 11.

37.

Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging.

Zhang F, Song Y, Cai W, Liu S, Liu S, Pujol S, Kikinis R, Xia Y, Fulham MJ, Feng DD, Alzheimers Disease Neuroimaging Initiative.

IEEE Trans Biomed Eng. 2016 May;63(5):1058-1069. doi: 10.1109/TBME.2015.2478028. Epub 2015 Sep 10.

38.

The DTI Challenge: Toward Standardized Evaluation of Diffusion Tensor Imaging Tractography for Neurosurgery.

Pujol S, Wells W, Pierpaoli C, Brun C, Gee J, Cheng G, Vemuri B, Commowick O, Prima S, Stamm A, Goubran M, Khan A, Peters T, Neher P, Maier-Hein KH, Shi Y, Tristan-Vega A, Veni G, Whitaker R, Styner M, Westin CF, Gouttard S, Norton I, Chauvin L, Mamata H, Gerig G, Nabavi A, Golby A, Kikinis R.

J Neuroimaging. 2015 Nov-Dec;25(6):875-82. doi: 10.1111/jon.12283. Epub 2015 Aug 11.

39.

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.

40.

Systemic chemotherapy decreases brain glucose metabolism.

Horky LL, Gerbaudo VH, Zaitsev A, Plesniak W, Hainer J, Govindarajulu U, Kikinis R, Dietrich J.

Ann Clin Transl Neurol. 2014 Oct;1(10):788-98. doi: 10.1002/acn3.121. Epub 2014 Oct 1.

41.

Multimodal neuroimaging feature learning for multiclass diagnosis of Alzheimer's disease.

Liu S, Liu S, Cai W, Che H, Pujol S, Kikinis R, Feng D, Fulham MJ; ADNI.

IEEE Trans Biomed Eng. 2015 Apr;62(4):1132-40. doi: 10.1109/TBME.2014.2372011. Epub 2014 Nov 20.

42.

MRI Brain Tumor Segmentation and Necrosis Detection Using Adaptive Sobolev Snakes.

Nakhmani A, Kikinis R, Tannenbaum A.

Proc SPIE Int Soc Opt Eng. 2014 Mar 21;9034:903442.

43.

Widespread white matter degeneration preceding the onset of dementia.

Maier-Hein KH, Westin CF, Shenton ME, Weiner MW, Raj A, Thomann P, Kikinis R, Stieltjes B, Pasternak O.

Alzheimers Dement. 2015 May;11(5):485-493.e2. doi: 10.1016/j.jalz.2014.04.518. Epub 2014 Jul 14.

44.

Robust Radiomics feature quantification using semiautomatic volumetric segmentation.

Parmar C, Rios Velazquez E, Leijenaar R, Jermoumi M, Carvalho S, Mak RH, Mitra S, Shankar BU, Kikinis R, Haibe-Kains B, Lambin P, Aerts HJ.

PLoS One. 2014 Jul 15;9(7):e102107. doi: 10.1371/journal.pone.0102107. eCollection 2014.

45.

Multi-Channel neurodegenerative pattern analysis and its application in Alzheimer's disease characterization.

Liu S, Cai W, Wen L, Feng DD, Pujol S, Kikinis R, Fulham MJ, Eberl S; ADNI.

Comput Med Imaging Graph. 2014 Sep;38(6):436-44. doi: 10.1016/j.compmedimag.2014.05.003. Epub 2014 May 14.

46.

Diffusion tensor imaging study of the fornix in first episode schizophrenia and in healthy controls.

Fitzsimmons J, Hamoda HM, Swisher T, Terry D, Rosenberger G, Seidman LJ, Goldstein J, Mesholam-Gately R, Petryshen T, Wojcik J, Kikinis R, Kubicki M.

Schizophr Res. 2014 Jul;156(2-3):157-60. doi: 10.1016/j.schres.2014.04.022. Epub 2014 May 14.

47.

Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge.

Huang W, Li X, Chen Y, Li X, Chang MC, Oborski MJ, Malyarenko DI, Muzi M, Jajamovich GH, Fedorov A, Tudorica A, Gupta SN, Laymon CM, Marro KI, Dyvorne HA, Miller JV, Barbodiak DP, Chenevert TL, Yankeelov TE, Mountz JM, Kinahan PE, Kikinis R, Taouli B, Fennessy F, Kalpathy-Cramer J.

Transl Oncol. 2014 Feb 1;7(1):153-66. eCollection 2014 Feb.

48.

Errors in Quantitative Image Analysis due to Platform-Dependent Image Scaling.

Chenevert TL, Malyarenko DI, Newitt D, Li X, Jayatilake M, Tudorica A, Fedorov A, Kikinis R, Liu TT, Muzi M, Oborski MJ, Laymon CM, Li X, Thomas Y, Jayashree KC, Mountz JM, Kinahan PE, Rubin DL, Fennessy F, Huang W, Hylton N, Ross BD.

Transl Oncol. 2014 Feb 1;7(1):65-71. eCollection 2014 Feb.

49.

Application of tolerance limits to the characterization of image registration performance.

Fedorov A, Wells WM, Kikinis R, Tempany CM, Vangel MG.

IEEE Trans Med Imaging. 2014 Jul;33(7):1541-50. doi: 10.1109/TMI.2014.2317796. Epub 2014 Apr 16.

50.

Mutual information as a measure of image quality for 3D dynamic lung imaging with EIT.

Crabb MG, Davidson JL, Little R, Wright P, Morgan AR, Miller CA, Naish JH, Parker GJ, Kikinis R, McCann H, Lionheart WR.

Physiol Meas. 2014 May;35(5):863-79. doi: 10.1088/0967-3334/35/5/863. Epub 2014 Apr 8.

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