Found 69 results
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.
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.
C. Zhang and Makrogiannis, S., Finding the N-cuts of Watershed Partitions for Image Segmentation, in Advances in Visual Computing, vol. 9474, Springer International Publishing, 2015, pp. 221-230.
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.