Publications

N. Melikechi, Markushin, Y., Connolly, D. C., Lasue, J., Ewusi-Annan, E., and Makrogiannis, S., “Age-specific discrimination of blood plasma samples of healthy and ovarian cancer prone mice using laser-induced breakdown spectroscopy”, Spectrochimica Acta Part B: Atomic Spectroscopy, vol. 123, pp. 33 - 41, 2016.

S. Makrogiannis, Fishbein, K. W., Moore, A. Z., Spencer, R. G., and Ferrucci, L., “Image-Based Tissue Distribution Modeling for Skeletal Muscle Quality Characterization.”, IEEE Trans Biomed Eng, vol. 63, no. 4, pp. 805-13, 2016.

F. Boukari, Makrogiannis, S., Nossal, R., and Boukari, H., “Imaging and tracking HIV viruses in human cervical mucus”, Journal of Biomedical Optics, vol. 21, p. 096001, 2016.

F. Boukari and Makrogiannis, S., “Joint Level-Set and Spatio-Temporal Motion Detection for Cell Segmentation”, BMC Medical Genomics, vol. 9 Suppl 2, 2016.

K. Zheng and Makrogiannis, S., “A Pattern Recognition System for Bone Texture Characterization from Digital Radiography,”, IEEE International Conference on Engineering in Medicine and Biology. pp. 1034-1037, 2016.

C. Zhang and Makrogiannis, S., “Finding the N-cuts of Watershed Partitions for Image Segmentation”, in Advances in Visual Computing, vol. 9474, Springer International Publishing, 2015, pp. 221-230.

F. Boukari and Makrogiannis, S., “Spatio-temporal Diffusion-based Dynamic Cell segmentation”, Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on. IEEE, pp. 317-324, 2015.

A. Zenobia Moore, Caturegli, G., E Metter, J., Makrogiannis, S., Resnick, S. M., Harris, T. B., and Ferrucci, L., “Difference in Muscle Quality over the Adult Life Span and Biological Correlates in the Baltimore Longitudinal Study of Aging.”, J Am Geriatr Soc, vol. 62, no. 2, pp. 230-236, 2014.

S. Makrogiannis and Ferrucci, L., “Software system for computing material and structural properties of bone and muscle in the lower extremity from pQCT”, Proc. SPIE 9112, Sensing Technologies for Global Health, Military Medicine, and Environmental Monitoring IV, vol. 9112. pp. 911216-911216-6, 2014.

F. Boukari and Makrogiannis, S., “Spatio-temporal Level-Set Based Cell Segmentation in Time-Lapse Image Sequences”, in Advances in Visual Computing, vol. 8888, Springer International Publishing, 2014, pp. 41-50.

S. Makrogiannis, Caturegli, G., Davatzikos, C., and Ferrucci, L., “Computer-aided assessment of regional abdominal fat with food residue removal in CT.”, Acad Radiol, vol. 20, pp. 1413–1421, 2013.

S. M. Rothman, Griffioen, K. J., Fishbein, K. W., Spencer, R. G., Makrogiannis, S., Cong, W. - N., Martin, B., and Mattson, M. P., “Metabolic abnormalities and hypoleptinemia in α-synuclein A53T mutant mice.”, Neurobiol Aging, 2013.

M. Canepa, Strait, J. B., Milaneschi, Y., Alghatrif, M., Ramachandran, R., Makrogiannis, S., Moni, M., David, M., Brunelli, C., Lakatta, E. G., and Ferrucci, L., “The relationship between visceral adiposity and left ventricular diastolic function: results from the Baltimore Longitudinal Study of Aging.”, Nutr Metab Cardiovasc Dis, vol. 23, pp. 1263–1270, 2013.

N. Bourbakis, Makrogiannis, S. K., and Dakopoulos, D., “A System-Prototype Representing 3D Space via Alternative-Sensing for Visually Impaired Navigation”, Sensors Journal, IEEE, vol. 13, pp. 2535-2547, 2013.

S. Makrogiannis, Ramachandran, R., Chia, C. W., and Ferrucci, L., “Automated abdominal fat quantification and food residue removal in CT”, in Mathematical Methods in Biomedical Image Analysis (MMBIA), 2012 IEEE Workshop on, 2012.

S. Makrogiannis, Serai, S., Fishbein, K. W., Schreiber, C., Ferrucci, L., and Spencer, R. G., “Automated quantification of muscle and fat in the thigh from water-, fat-, and nonsuppressed MR images.”, J Magn Reson Imaging, vol. 35, pp. 1152–1161, 2012.

S. Makrogiannis and Bourbakis, N. G., “Editorial”, International Journal on Artificial Intelligence Tools, vol. 21, 2012.

Y. Wu, Kotzer, C. J., Makrogiannis, S., Logan, G. A., Haley, H., Barnette, M. S., and Sarkar, S. K., “A noninvasive [99mTc]DTPA SPECT/CT imaging methodology as a measure of lung permeability in a guinea pig model of COPD.”, Mol Imaging Biol, vol. 13, pp. 923–929, 2011.

N. G. Bourbakis, Makrogiannis, S., and Kapogiannis, D., “A Synergistic Model for Monitoring Brain's Changes: A Case Study”, in ICTAI, 2011, pp. 1093-1098.

S. Makrogiannis, Ramachandran, R., Fishbein, K. W., Kapogiannis, D., Spencer, R. G., and Chia, C. W., “Towards segmentation of the thymus in fat and water parametric MR images.”, Conf Proc IEEE Eng Med Biol Soc, vol. 2011, pp. 8078–8081, 2011.

A. Santamaria-Pang, Dutta, S., Makrogiannis, S., Hara, A., Pavlicek, W., Silva, A., Thomsen, B., Robertson, S., Okerlund, D., Langan, D. A., and Bhotika, R., “Automated liver lesion characterization using fast kVp switching dual energy computed tomography imaging”, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, 2010.

S. Makrogiannis, Serai, S., Fishbein, K. W., Laney, W., Schreiber, C., Ershler, W. B., Ferrucci, L., and Spencer, R. G. S., “Automated Quantification of Muscle and Fat in the Thigh from Water-, Fat- and Non-suppressed MR Images”, in BIBE, 2010, pp. 52-57.

S. Makrogiannis and Bourbakis, N. G., “Efficient registration of multitemporal and multisensor aerial images based on alignment of nonparametric edge features”, J. Electronic Imaging, vol. 19, p. 013002, 2010.

S. Makrogiannis, Bhotika, R., Miller, J. V., Skinner, J., and Vass, M., “Nonparametric Intensity Priors for Level Set Segmentation of Low Contrast Structures”, in MICCAI (1), 2009, pp. 239-246.

S. Makrogiannis, Verma, R., and Davatzikos, C., “Anatomical Equivalence Class: A Morphological Analysis Framework Using a Lossless Shape Descriptor”, IEEE Trans. Med. Imaging, vol. 26, pp. 619-631, 2007.