Publications

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, Zheng, K., and Harris, C., “Discriminative Localized Sparse Approximations for Mass Characterization in Mammograms”, Frontiers in Oncology, 2021.

S. Makrogiannis, Zheng, K., and Harris, C., “Sparse analysis of deep features for characterization of breast masses”, in Medical Imaging 2021: Computer-Aided Diagnosis, 2021.

S. Makrogiannis, Annasamudram, N., Wang, Y., Miranda, H., and Zheng, K., “A System for Spatio-Temporal Cell Detection and Segmentation in Time-Lapse Microscopy”, in Workshop on Machine Learning and Artificial Intelligence in Bioinformatics and Medical Informatics (MABM 2021) in conjunction with 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021.

F. Boukari and Makrogiannis, S., “Automated Cell Tracking using Motion Prediction-based Matching and Event Handling”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 17, no. 3, pp. 959-971, 2020.

S. Makrogiannis, Harris, C. E., and Zheng, K., “Discriminative Localized Sparse Representations for Breast Cancer Screening”, in Mathematical and Computational Oncology - Second International Symposium, ISMCO 2020, San Diego, CA, USA, October 8-10, 2020, Proceedings, 2020.

K. Zheng, Harris, C. E., Jennane, R., and Makrogiannis, S., “Integrative blockwise sparse analysis for tissue characterization and classification”, Artificial Intelligence in Medicine, vol. 107, p. 101885, 2020.

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.

K. Zheng, Harris, C., Bakic, P., and Makrogiannis, S., “Spatially localized sparse representations for breast lesion characterization”, Computers in Biology and Medicine, vol. 123, p. 103914, 2020.

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.