Publications

Found 26 results
Filters: Author is Makrogiannis, Sokratis  [Clear All Filters]
2022
S. Makrogiannis and Zheng, K., AIM in Osteoporosis, in Artificial Intelligence in Medicine, N. Lidströmer and Ashrafian, H., Eds. Cham: Springer International Publishing, 2022, pp. 785–801.
S. Makrogiannis, Editorial for “Cross-Cohort Automatic Knee MRI Segmentation with Multi-Planar U-Nets”, Journal of Magnetic Resonance Imaging, vol. 55, pp. 1664-1665, 2022.
Q. Yang, Yu, X., Lee, H. Hin, Tang, Y., Bao, S., Gravenstein, K. S., Moore, A. Zenobia, Makrogiannis, S., Ferrucci, L., and Landman, B. A., Label efficient segmentation of single slice thigh CT with two-stage pseudo labels, Journal of Medical Imaging, vol. 9, p. 052405, 2022.
S. Makrogiannis, Okorie, A., Di Iorio, A., Bandinelli, S., and Ferrucci, L., Multi-atlas segmentation and quantification of muscle, bone and subcutaneous adipose tissue in the lower leg using peripheral quantitative computed tomography, Frontiers in physiology, vol. 13, p. 951368, 2022.
Q. Yang, Yu, X., Lee, H. Hin, Tang, Y., Bao, S., Gravenstein, K. S., Moore, A. Zenobia, Makrogiannis, S., Ferrucci, L., and Landman, B. A., Quantification of muscle, bones, and fat on single slice thigh CT, in Medical Imaging 2022: Image Processing, 2022.
A. Okorie, Bakic, P., and Makrogiannis, S., Simulation of mid-thigh anatomy for virtual clinical studies, in Medical Imaging 2022: Physics of Medical Imaging, 2022.
Q. Yang, Yu, X., Lee, H. Hin, Cai, L. Y., Xu, K., Bao, S., Huo, Y., Moore, A. Zenobia, Makrogiannis, S., Ferrucci, L., and Landman, B. A., Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training. 2022.
C. E. Harris and Makrogiannis, S., Sparse Analysis of Block-Boosted Deep Features for Osteoporosis Classification, in 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2022.
A. M. Okorie and Makrogiannis, S., Subspace Analysis for Multi-temporal Disaster Mapping Using Satellite Imagery, in Advances in Visual Computing, Cham, 2022.
S. Makrogiannis, Annasamudram, N., and Biswas, T., TIDAQUNET: tissue identification and quantification network for mid-thigh CT segmentation, in Medical Imaging 2022: Image Processing, 2022.
2021
S. Makrogiannis and Zheng, K., AIM in Osteoporosis, in Artificial Intelligence in Medicine, N. Lidströmer and Ashrafian, H., Eds. Cham: Springer International Publishing, 2021, pp. 1–17.
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.
2015
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.
2014
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.

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