Publications

K. Zheng, Jennane, R., and Makrogiannis, S., “Ensembles of Sparse Classifiers for Osteoporosis Characterization in Digital Radiographs”, in SPIE Medical Imaging 2019: Computer-Aided Diagnosis, 2019.

S. Johnson, Zerrad, E., Makrogiannis, S., Ren, J., and others, “Exact Topological Soliton Solutions to the Strongly Perturbed Family of Sine-Gordon Type Equations”, Journal of Applied Mathematics and Physics, vol. 7, p. 2401, 2019.

T. Biswas and Makrogiannis, S., “Learning Graph Cut Class Prototypes for Thigh CT Tissue Identification”, in Advances in Visual Computing, Cham, 2019.

A. Okorie and Makrogiannis, S., “Region-based image registration for remote sensing imagery”, Computer Vision and Image Understanding, vol. 189, p. 102825, 2019.

S. Makrogiannis, Okorie, A., Biswas, T., and Ferrucci, L., “Shape Modeling and Atlas-Based Segmentation for Identification of Lower Leg Tissues in pQCT”, in 2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 2019.

S. Makrogiannis, Boukari, F., and Ferrucci, L., “Automated skeletal tissue quantification in the lower leg using peripheral quantitative computed tomography”, Physiological Measurement, vol. 39, p. 035011, 2018.

K. W. Fishbein, Makrogiannis, S. K., Lukas, V. A., Okine, M., Ramachandran, R., Ferrucci, L., Egan, J. M., Chia, C. W., and Spencer, R. G., “Measurement of fat fraction in the human thymus by localized NMR and three-point Dixon MRI techniques”, Magnetic Resonance Imaging, vol. 50, pp. 110 - 118, 2018.

A. M. Okorie and Makrogiannis, S., “Automated Feature-Based Registration Techniques for Satellite Imagery”, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). pp. 5137-5140, 2017.

N. V. Orlov, Makrogiannis, S., Ferrucci, L., and Goldberg, I. G., “Differential Aging Signals in Abdominal CT Scans”, Academic Radiology, vol. 24, no. 12, pp. 1535 - 1543, 2017.

T. Dassopoulos, Karargyris, A., Makrogiannis, S., and Bourbakis, N., “A preliminary study for automatic accurate detection of adenomatous polyps in the small intestine”, 2017 IEEE EMBS International Conference on Biomedical Health Informatics (BHI). pp. 117-120, 2017.

K. Zheng and Makrogiannis, S., “Sparse Representation using Block Decomposition for Characterization of Imaging Patterns.”, Proceedings of 3rd International Workshop on Patch-based Techniques in Medical Imaging (2017). pp. 158-166, 2017.

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.