National Institute of Standards and Technology

Publication Classification:

Segmentation Acceleration = Single core CPU

  • "Bai W, Zhou X, Zhu J, Ji L, Wong STC: Tracking of migrating Glioma cells in feature space. In 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE; 2007:272–275."
  • "Debeir O, Camby I, Kiss R, Van Ham P, Decaestecker C: A model-based approach for automated in vitro cell tracking and chemotaxis analyses. Cytometry A 2004, 60:29–40."
  • "Delgado-Gonzalo R, Chenouard N, Unser M: Spline-based deforming ellipsoids for interactive 3D bioimage segmentation. IEEE Trans Image Process 2013, 22:3926–3940."
  • "Du C-J, Hawkins PT, Stephens LR, Bretschneider T: 3D time series analysis of cell shape using Laplacian approaches. BMC Bioinformatics 2013, 14:296."
  • "Fusco L, Benmansour F, Fua P, Pertz O, Smith K: Automated Quantification of Morphodynamics for High-Throughput Live Cell Time-Lapse Datasets. In IEEE 10th International Symposium on Biomedical Imaging (ISBI). San Francisco, CA: IEEE; 2013:664–667."
  • "Hadjidemetriou S, Gabrielli B, Mele K, Vallotton P: Detection and tracking of cell divisions in phase contrast video microscopy. In Proc. of the Third MICCAI Worshop on Microscopic Image Analysis with Applications in Biology. New York, NY, USA: MICCAI; 2008."
  • "Held M, Schmitz MH a, Fischer B, Walter T, Neumann B, Olma MH, Peter M, Ellenberg J, Gerlich DW: CellCognition: time-resolved phenotype annotation in high-throughput live cell imaging. Nat. Methods 2010, 7:747–54."
  • "Hodneland E, Bukoreshtliev N V, Eichler TW, Tai X-C, Gurke S, Lundervold A, Gerdes H-H: A unified framework for automated 3-d segmentation of surface-stained living cells and a comprehensive segmentation evaluation. IEEE Trans Med Imaging 2009, 28:720–38."
  • "Hua J, Sima C, Cypert M, Gooden GC, Shack S, Alla L, Smith E a, Trent JM, Dougherty ER, Bittner ML: Tracking transcriptional activities with high-content epifluorescent imaging. J Biomed Opt 2012, 17:046008."
  • "Huth J, Buchholz M, Kraus JM, Schmucker M, von Wichert G, Krndija D, Seufferlein T, Gress TM, Kestler H a: Significantly improved precision of cell migration analysis in time-lapse video microscopy through use of a fully automated tracking system. BMC Cell Biol 2010, 11:24."
  • "Indhumathi C, Cai YY, Guan YQ, Opas M: An automatic segmentation algorithm for 3D cell cluster splitting using volumetric confocal images. J Microsc 2011, 243:60–76."
  • "Li K, Miller ED, Chen M, Kanade T, Weiss LE, Campbell PG: Cell population tracking and lineage construction with spatiotemporal context. Med Image Anal 2008, 12:546–66."
  • "Lin G, Adiga U, Olson K, Guzowski JF, Barnes C a, Roysam B: A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks. Cytometry A 2003, 56:23–36."
  • "McCullough DP, Gudla PR, Harris BS, Collins J a, Meaburn KJ, Nakaya M a, Yamaguchi TP, Misteli T, Lockett SJ: Segmentation of whole cells and cell nuclei from 3-D optical microscope images using dynamic programming. IEEE Trans Med Imaging 2008, 27:723–34."
  • "Mosaliganti K, Cooper L: Reconstruction of cellular biological structures from optical microscopy data. IEEE Trans Vis Comput Graph 2008, 14:863–876."
  • "Pop S, Dufour A, Garrec J Le, Ragni C V, Buckingham ME, Meilhac SM, Olivo-Marin J-C: A Fast and Automated Framework for Extraction of Nuclei From Cluttered 3D Images in Fluorescence Microscopy. In 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro; 2011(Ptr 335):2113–2116."
  • "Russell RA, Adams NM, Stephens DA, Batty E, Jensen K, Freemont PS: Segmentation of fluorescence microscopy images for quantitative analysis of cell nuclear architecture. Biophys J 2009, 96:3379–89."
  • "Srinivasa G, Fickus MC, Guo Y, Linstedt AD, Kovacevi? J: Active mask segmentation of fluorescence microscope images. IEEE Trans. Image Process. 2009, 18:1817–29."
  • "Wählby, C.; Sintorn, I.-M.; Erlandsson, F.; Borgefors, G.; Bengtsson, E.: Combining intensity , edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections. J Microsc 2004, 215(January):67–76."
  • "Yang X, Padfield D: Wavelet-initialized 3D level-set cell segmentation with local background support. In Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on; 2014:814–817."
  • "Yin Z, Li K, Kanade T, Chen M: Understanding the Optics to Aid Microscopy Image Segmentation. In Medical Image Computing and Computer-Assisted Intervention--MICCAI 2010. Volume 13. Heidelberg: Springer; 2010:209–217."
  • "Zhou X, Li F, Yan J, Wong STC: A novel cell segmentation method and cell phase identification using Markov model. IEEE Trans Inf Technol Biomed 2009, 13:152–7."



Survey publication disclaimer:

The National Institute of Standards and Technology (NIST) uses substantial efforts to select publications that meet the publication survey criteria. However, NIST makes no warranties that the survey is exhaustive. The survey and its contents are provided by NIST as a public service and are strictly provided "AS IS" with no warranties of any type. Furthermore, NIST does not make any statements about quality of publications by including them in the survey classification and does not imply any recommendation or endorsement.
Date created: April 10, 2014 | Last updated: