Publication Classification:

SegmentedObject = Other

• "Bajcsy P, Lee S-C, Lin a, Folberg R: Three-dimensional volume reconstruction of extracellular matrix proteins in uveal melanoma from fluorescent confocal laser scanning microscope images. J Microsc 2006, 221(Pt 1):30–45."

• "Celli JP, Rizvi I, Evans CL, Abu-Yousif AO, Hasan T: Quantitative imaging reveals heterogeneous growth dynamics and treatment-dependent residual tumor distributions in a three-dimensional ovarian cancer model. J Biomed Opt 2010, 15:051603."

• "Delgado-Gonzalo R, Chenouard N, Unser M: Spline-based deforming ellipsoids for interactive 3D bioimage segmentation. IEEE Trans Image Process 2013, 22:3926–3940."

• "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."

• "Kojic N, Huang A, Chung E, Tschumperlin D, So PTC: Quantification of three-dimensional dynamics of intercellular geometry under mechanical loading using a weighted directional adaptive-threshold method. Opt Express 2008, 16:12403."

• "Peng T, Murphy RF: Image-derived, three-dimensional generative models of cellular organization. Cytometry. A 2011, 79:383–91."

• "Sbalzarini IF, Koumoutsakos P: Feature point tracking and trajectory analysis for video imaging in cell biology. J Struct Biol 2005, 151:182–95."

• "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."

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.