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Items: 1 to 20 of 107

1.

A novel computational approach for automatic dendrite spines detection in two-photon laser scan microscopy.

Cheng J, Zhou X, Miller E, Witt RM, Zhu J, Sabatini BL, Wong ST.

J Neurosci Methods. 2007 Sep 15;165(1):122-34. Epub 2007 May 24.

2.

Automatic dendritic spine analysis in two-photon laser scanning microscopy images.

Bai W, Zhou X, Ji L, Cheng J, Wong ST.

Cytometry A. 2007 Oct;71(10):818-26.

3.

Multi scale and slice-based approach for automatic spine detection.

Choy SK, Chen K, Zhang Y, Baron M, Teylan MA, Kim Y, Tong CS, Song Z, Wong ST.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:4765-8. doi: 10.1109/IEMBS.2010.5626640.

PMID:
21096249
4.

An automated pipeline for dendrite spine detection and tracking of 3D optical microscopy neuron images of in vivo mouse models.

Fan J, Zhou X, Dy JG, Zhang Y, Wong ST.

Neuroinformatics. 2009 Jun;7(2):113-30. doi: 10.1007/s12021-009-9047-0. Epub 2009 May 12.

5.

Detection of Dendritic Spines Using Wavelet-Based Conditional Symmetric Analysis and Regularized Morphological Shared-Weight Neural Networks.

Wang S, Chen M, Li Y, Zhang Y, Han L, Wu J, Du S.

Comput Math Methods Med. 2015;2015:454076. doi: 10.1155/2015/454076. Epub 2015 Nov 24.

6.

A surface-based 3-D dendritic spine detection approach from confocal microscopy images.

Li Q, Deng Z.

IEEE Trans Image Process. 2012 Mar;21(3):1223-30. doi: 10.1109/TIP.2011.2166973. Epub 2011 Sep 1.

PMID:
21896386
7.

Morphological change tracking of dendritic spines based on structural features.

Son J, Song S, Lee S, Chang S, Kim M.

J Microsc. 2011 Mar;241(3):261-72. doi: 10.1111/j.1365-2818.2010.03427.x. Epub 2011 Jan 11.

8.

A novel method for dendritic spines detection based on directional morphological filter and shortest path.

Su R, Sun C, Zhang C, Pham TD.

Comput Med Imaging Graph. 2014 Dec;38(8):793-802. doi: 10.1016/j.compmedimag.2014.07.006. Epub 2014 Aug 7.

PMID:
25155696
9.

Oriented Markov random field based dendritic spine segmentation for fluorescence microscopy images.

Cheng J, Zhou X, Miller EL, Alvarez VA, Sabatini BL, Wong ST.

Neuroinformatics. 2010 Oct;8(3):157-70. doi: 10.1007/s12021-010-9073-y.

PMID:
20585900
10.

3D dendrite reconstruction and spine identification.

Zhou W, Li H, Zhou X.

Med Image Comput Comput Assist Interv. 2008;11(Pt 2):18-26.

PMID:
18982585
11.

Automated analysis of spines from confocal laser microscopy images: application to the discrimination of androgen and estrogen effects on spinogenesis.

Mukai H, Hatanaka Y, Mitsuhashi K, Hojo Y, Komatsuzaki Y, Sato R, Murakami G, Kimoto T, Kawato S.

Cereb Cortex. 2011 Dec;21(12):2704-11. doi: 10.1093/cercor/bhr059. Epub 2011 Apr 28.

12.

A neurocomputational method for fully automated 3D dendritic spine detection and segmentation of medium-sized spiny neurons.

Zhang Y, Chen K, Baron M, Teylan MA, Kim Y, Song Z, Greengard P, Wong ST.

Neuroimage. 2010 May 1;50(4):1472-84. doi: 10.1016/j.neuroimage.2010.01.048. Epub 2010 Jan 25.

13.

An image analysis algorithm for dendritic spines.

Koh IY, Lindquist WB, Zito K, Nimchinsky EA, Svoboda K.

Neural Comput. 2002 Jun;14(6):1283-310.

PMID:
12020447
14.

A simple reproducible and time saving method of semi-automatic dendrite spine density estimation compared to manual spine counting.

Orlowski D, Bjarkam CR.

J Neurosci Methods. 2012 Jul 15;208(2):128-33. doi: 10.1016/j.jneumeth.2012.05.009. Epub 2012 May 15.

PMID:
22595026
15.

Automated three-dimensional reconstruction and morphological analysis of dendritic spines based on semi-supervised learning.

Shi P, Huang Y, Hong J.

Biomed Opt Express. 2014 Apr 17;5(5):1541-53. doi: 10.1364/BOE.5.001541. eCollection 2014 May 1.

16.

A fully automatic 2D segmentation method for uterine fibroid in MRgFUS treatment evaluation.

Militello C, Vitabile S, Rundo L, Russo G, Midiri M, Gilardi MC.

Comput Biol Med. 2015 Jul;62:277-92. doi: 10.1016/j.compbiomed.2015.04.030. Epub 2015 Apr 28.

PMID:
25966922
17.

Automated 3-D Detection of Dendritic Spines from In Vivo Two-Photon Image Stacks.

Singh PK, Hernandez-Herrera P, Labate D, Papadakis M.

Neuroinformatics. 2017 Oct;15(4):303-319. doi: 10.1007/s12021-017-9332-2.

PMID:
28710672
18.

Microscope image based fully automated stomata detection and pore measurement method for grapevines.

Jayakody H, Liu S, Whitty M, Petrie P.

Plant Methods. 2017 Nov 8;13:94. doi: 10.1186/s13007-017-0244-9. eCollection 2017.

19.

A global spatial similarity optimization scheme to track large numbers of dendritic spines in time-lapse confocal microscopy.

Li Q, Deng Z, Zhang Y, Zhou X, Nägerl UV, Wong ST.

IEEE Trans Med Imaging. 2011 Mar;30(3):632-41. doi: 10.1109/TMI.2010.2090354. Epub 2010 Nov 1.

PMID:
21047709
20.

A NOVEL SURFACE-BASED GEOMETRIC APPROACH FOR 3D DENDRITIC SPINE DETECTION FROM MULTI-PHOTON EXCITATION MICROSCOPY IMAGES.

Li Q, Zhou X, Deng Z, Baron M, Teylan MA, Kim Y, Wong ST.

Proc IEEE Int Symp Biomed Imaging. 2009 Jun 28;10814263:1255-1258.

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