National Institute of Standards and Technology

Publication Classification:

Segmentation Evaluation = Pixel-level evaluation

  • "Chalfoun J, Kociolek M, Dima A, Halter M, Cardone A, Peskin A, Bajcsy P, Brady M: Segmenting time-lapse phase contrast images of adjacent NIH 3T3 cells. J. Microsc. 2013, 249:41–52."
  • "Chalfoun J, Majurski M, Dima A, Stuelten C, Peskin A: FogBank?: A Single Cell Segmentation across Multiple Cell Lines and Image Modalities. BMC Bioinformatics 2014, 15:431."
  • "Chalfoun J, Majurski M, Peskin A, Breen C, Bajcsy P: Empirical Gradient Threshold Technique for Automated Segmentation across Image Modalities and Cell Lines. J. Microsc. 2014:1–18."
  • "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."
  • "Dzyubachyk O, Van Cappellen WA, Essers J, Niessen WJ, Meijering E: Advanced level-set-based cell tracking in time-lapse fluorescence microscopy. IEEE Trans Med Imaging 2010, 29:852–867."
  • "Eck S, Rohr K, Biesdorf A, Katharina M-O, Rippe K, Stefan W: A 3D Intensity Model Based on Spherical Harmonics For Automatic 3D Segmentation of Heterochromatin Foci. In 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. San Francisco; 2013:1484–1487."
  • "Herberich G, Windoffer R, Leube R, Aach T: 3D segmentation of keratin intermediate filaments in confocal laser scanning microscopy. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Boston, MA: IEEE EMBS; 2011:7751–4."
  • "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."
  • "Law YN, Lee HK, Yip AM: Learning Dynamical Shape Prior for Level Set based Cell Tracking. Ann. Br. Mach. Vis. Assoc. 2013, 2013:1–14."
  • "Law YN: Cell tracking using phase-adaptive shape prior. J. Microsc. 2013, 252:149–58."
  • "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."
  • "Moeller M, Burger M, Dieterich P, Schwab A: A Framework for Automated Cell Tracking in Phase Contrast Microscopic Videos based on Normal Velocities. J Vis Commun Image Represent 2014, 25:396–409."
  • "Mosaliganti K, Cooper L: Reconstruction of cellular biological structures from optical microscopy data. IEEE Trans Vis Comput Graph 2008, 14:863–876."
  • "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."
  • "Singh S, Raman S, Rittscher J, Machiraju R: Segmentation Evaluation for Fluorescence Microscopy Images of Biological Objects. In MIAAB 2009 International Workshop Proceedings; 2009:1–5."
  • "Srinivasa G, Fickus M, Kova?evi? J: Active Contour-Based Multiresolution Transforms for the Segmentation of Fluorescence Microscope Images. In Proc. SPIE. edited by Van De Ville D, Goyal VK, Papadakis M2007:6701."
  • "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."
  • "Takemoto S, Yokota H: Algorithm selection based on a region similarity metric for intracellular image segmentation. In Image Segmentation. Edited by Dr Ho P-G. InTech; 2011:419–434."
  • "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, Kanade T, Chen M: Understanding the phase contrast optics to restore artifact-free microscopy images for segmentation. Med Image Anal 2012, 16:1047–62."
  • "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."
  • "Yu W, Lee HK, Hariharan S, Bu W, Ahmed S: Evolving generalized Voronoi diagrams for accurate cellular image segmentation. Cytometry. A 2010, 77:379–86."



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: