MIVIC Lab | Math Imaging and VIsual Computing Lab

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.

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.

Multi-atlas-based tissue identification in the lower leg using pQCT

Submitted by admin on Wed, 04/01/2020 - 20:02

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.

Shape Modeling and Atlas-Based Segmentation for Identification of Lower Leg Tissues in pQCT

Submitted by admin on Wed, 04/01/2020 - 20:00

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.

Region-based image registration for remote sensing imagery

Submitted by admin on Fri, 11/01/2019 - 09:38

A. Okorie and Makrogiannis, S., “Region-based image registration for remote sensing imagery”, Computer Vision and Image Understanding, vol. 189, p. 102825, 2019.

Automated Cell Tracking using Motion Prediction-based Matching and Event Handling

Submitted by admin on Thu, 01/03/2019 - 17:09

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.

For prospective graduate students

We are looking for talented and self-motivated students, who are interested in the areas of mathematical imaging and visual computing with applications mainly related but not restricted to biomedicine. Interested candidates should email a cover letter and cv for consideration to smakrogiannis at desu dot edu. They should also contact DSU to apply to one of our graduate programs.