Publications

N. Annasamudram and Makrogiannis, S., “A Joint Scale Analysis And Machine Learning Framework For Cell Detection And Segmentation In Time Lapse Microscopy”, in 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024.

C. Harris, Okorie, U., and Makrogiannis, S., “Mammographic Breast Density Classification by Integration of Deep Dictionaries and Multi-Model Sparse Approximations”, in 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024.

X. Yue, Stauff, E., Boyapati, S., Langhans, S. A., Xu, W., Makrogiannis, S., Okorie, U. J., Okorie, A. M., Kandula, V. V. R., Kecskemethy, H. H., Nikam, R. M., Averill, L. W., and Shaffer, T. H., “PET Imaging of Neurofibromatosis Type 1 with a Fluorine-18 Labeled Tryptophan Radiotracer”, Pharmaceuticals, vol. 17, p. 685, 2024.

S. Makrogiannis, “Editorial for "Diagnosis of Sarcopenia Using the L3 Skeletal Muscle Index Estimated from the L1 Skeletal Muscle Index on MR Images in Patients with Cirrhosis"”, Journal of Magnetic Resonance Imaging, 2023.

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.

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.

S. Makrogiannis, Okorie, A., Biswas, T., and Ferrucci, L., “Multi-atlas-based tissue identification in the lower leg using pQCT”, in SPIE Medical Imaging 2020: Image Processing, 2020.

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.

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.

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., “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.