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.
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.
Sparse analysis of deep features for characterization of breast masses Submitted by admin on Mon, 04/19/2021 - 21:19 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.
Spatially localized sparse representations for breast lesion characterization Submitted by admin on Wed, 08/12/2020 - 10:27 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.
Integrative blockwise sparse analysis for tissue characterization and classification Submitted by admin on Mon, 06/15/2020 - 13:37 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.