[1] N. Bosschaart, G. J. Edelman, M. C. G. Aalders, "A literature review and novel theoretical approach on the optical properties of whole blood," Lasers Med. Sci. 29, 453–479 (2014).
[2] G. Tomaiuolo, "Biomechanical properties of red blood cells in health and disease towards micro- fluidics," Biomicrofluidics 8, 051501 (2014).
[3] http://www.nlm.nih.gov/medlineplus/ency/article/ 003644.htm (accessed on 28 March 2015).
[4] P. Memmolo, L. Miccio, "3D morphometry of red blood cells by digital holography," Cytometry A 85A, 1030–1036 (2014).
[5] H. Gao, P. Xue, W. Lin, "A new marker based watershed algorithm," Proc. Int. Symp. Circuits and Systems, Vol. 2 II-81-4 (2004).
[6] L. Xu, H. Lu, M. Zhang, "Automatic segmentation of clustered quantum dots based on improved watershed transformation," Digital Signal Process. 34, 108–115 (2014).
[7] A. Dervieux, F. Thomasset, "A finite element method for the simulation of Rayleigh-Taylor instability," Lecture Notes Math. 771, 145–158 (1980).
[8] C. Li, C. Xu, C. Gui, M. D. Fox, "Distance regularized level set evolution and its application to image segmentation," IEEE Trans. Image Process. 19(12), 3243–3254 (2010).
[9] M. Nosrati, G. Hamarneh, "Local optimization based segmentation of spatially-recurring, multi-region objects with part configuration constraints," IEEE Trans. Med. Imaging (IEEE TMI), 33(9), 1845–1859 (2014).
[10] M. Nosrati, S. Andrews, G. Hamarneh, "Bounded labeling function for global segmentation of multi-part objects with geometric constraints," IEEE Int. Conf. Computer Vision (IEEE ICCV), pp. 2032–2039 (2013).
[11] P. Saveliev, "A graph, non-tree representation of the topology of a gray scale image," Proc. SPIE, J. T. Astola, K. O. Egiazarian, Eds., — The International Society for Optical Engineering, Bellingham, WA 2011 Image Processing: Algorithms and Systems IX, Vol. 7870, pp. 1–19 (2011).
[12] S. Rathore, A. Iftikhar, A. Ali, M. Hussain, A. Jalil, "Capture largest included circles: An approach for counting red blood cells," IMTIC 2012, CCIS 281, pp. 373–384 (2012).
[13] http://en.wikipedia.org/wiki/K-means clustering# cite ref-8 (accessed on 28 March 2015).
[14] L. Galluccio, O. Michel, P. Comon, A. O. Hero III, "Graph based k-means clustering," Signal Process. 92, 1970–1984 (2012).
[15] D. J. C. MacKay,"An example inference task: Clustering," Information Theory, Inference and Learning Algorithms, Chapter 20, Cambridge University Press. pp. 284–292 (2012).
[16] M. Mahajan, P. Nimbhorkar, K. Varadarajan, "The planar k-means problem is NP-hard," Lecture Notes Comput. Sci. 5431, 274–285 (2009).
[17] Y. Yang, Y. Cao, W. Shi, "A method of leukocyte segmentation based on S component and B component images," J. Innov. Opt. Health Sci. 7(1), 1450007:1–8 (2014).
[18] N. Li, R. Wang, "Unsupervised polarimetric synthetic aperture radar classification of large-scale landslides caused by Wenchuan earthquake in huesaturation- intensity color space," J. Appl. Remote Sens. 8, 083595-1–8 (2014).
[19] S. Nakano, T. Nakano, "Change in circularity index of cell lumen in a cross-section of wood induced by aqueous NaOH," J. Wood Sci. 60, 99–104 (2014).
[20] Y. M. Alomari, S. N. H. S. Abdullah, "Automatic detection and quantification of WBCs and RBCs using iterative structured circle detection algorithm," Comput. Math. Methods Med., Vol. 2014, pp. 1–17 (2014)
[21] Z. Lu, G. Carneiro, A. P. Bradley, "Automated nucleus and cytoplasm segmentation of overlapping cervical cells," MICCAI 2013, Part I, Lecture Notes in Computer Science, Vol. 8149, pp. 452–460 (2013).
[22] M. S. Nosrati, G. Hamarneh, "Segmentation of cells with partial occlusion and part configuration constraint using evolutionary computation," MICCAI 2013, Part I, Lecture Notes in Computer Science, Vol. 8149, pp. 461–468 (2013).