Publications

C. E. Harris, Okorie, U., Bakic, P. R., and Makrogiannis, S., “Evaluating breast density classification by sparse approximation classifiers and deep networks using simulated digital mammograms”, in Virtual Imaging Trials in Medicine, 2024.

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.

N. V. Annasamudram, Okorie, A. M., Spencer, R. G., Kalyani, R. R., Yang, Q., Landman, B. A., Ferrucci, L., and Makrogiannis, S., “Multi-method and multi-atlas segmentation fusion for delineation of thigh muscle groups in 3D water-fat separated MRI”, in Medical Imaging 2024: Image Processing, 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.

C. E. Harris and Makrogiannis, S., “Breast mass characterization using sparse approximations of patch-sampled deep features”, in Medical Imaging 2023: Computer-Aided Diagnosis, 2023.

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.

Y. Wang, Williams, O., Annasamudram, N., and Makrogiannis, S., “Live Cell Segmentation and Tracking Techniques”, in Intelligent Video Analytics: Clustering and Classification Applications, E. Alfy Georg Zhou, Ed. CRC Press, 2023.

A. Okorie, Makrogiannis, S., Spencer, R., Kalyani, R., and Ferrucci, L., “Semantic segmentation of individual muscle groups in 3D thigh MRI”, in Medical Imaging 2023: Image Processing, 2023.

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”, Journal of Medical Imaging, vol. 10, p. 044001, 2023.

C. Harris, Okorie, U., and Makrogiannis, S., “Spatially localized sparse approximations of deep features for breast mass characterization”, Mathematical Biosciences and Engineering, vol. 20, pp. 15859-15882, 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, 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.