About MIVIC is a research group in the Division of Physics, Engineering, Mathematics and Computer Science in Delaware State University. MIVIC's research and development work emphasizes on the areas of medical image analysis, mathematical methods for visual computing, machine learning, and visualization.
Label efficient segmentation of single slice thigh CT with two-stage pseudo labels Submitted by admin on Wed, 05/25/2022 - 20:58 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.
Quantification of muscle, bones, and fat on single slice thigh CT Submitted by admin on Wed, 05/25/2022 - 20:57 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.
Simulation of mid-thigh anatomy for virtual clinical studies Submitted by admin on Wed, 05/25/2022 - 20:56 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.
TIDAQUNET: tissue identification and quantification network for mid-thigh CT segmentation Submitted by admin on Wed, 05/25/2022 - 20:56 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.
Discriminative Localized Sparse Approximations for Mass Characterization in Mammograms Submitted by admin on Wed, 12/15/2021 - 10:08 S. Makrogiannis, Zheng, K., and Harris, C., “Discriminative Localized Sparse Approximations for Mass Characterization in Mammograms”, Frontiers in Oncology, 2021.
Editorial for "Cross-Cohort Automatic Knee MRI Segmentation with Multi-Planar U-Nets" Submitted by admin on Wed, 12/15/2021 - 10:07 S. Makrogiannis, “Editorial for "Cross-Cohort Automatic Knee MRI Segmentation with Multi-Planar U-Nets"”, Journal of Magnetic Resonance Imaging: JMRI, 2021.
A System for Spatio-Temporal Cell Detection and Segmentation in Time-Lapse Microscopy Submitted by admin on Wed, 12/15/2021 - 10:06 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.
AIM in Osteoporosis Submitted by admin on Thu, 09/30/2021 - 00:32 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.
Discriminative Localized Sparse Representations for Breast Cancer Screening Submitted by admin on Tue, 05/04/2021 - 15:30 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.
