About MIVIC is a research group in the Division of Physics, Engineering, Mathematics and Computer Science in Delaware State University. MIVIC's research interests include medical image analysis, mathematical methods for visual computing, machine learning, and visualization. More information about the group's research and training activities, publications, and group members can be found below: Research
Spatially localized sparse approximations of deep features for breast mass characterization Submitted by admin on Mon, 08/28/2023 - 15:47 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.
Live Cell Segmentation and Tracking Techniques Submitted by admin on Mon, 08/28/2023 - 15:40 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.
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" Submitted by admin on Mon, 08/28/2023 - 15:37 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.
Breast mass characterization using sparse approximations of patch-sampled deep features Submitted by admin on Mon, 08/28/2023 - 15:35 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.
Semantic segmentation of individual muscle groups in 3D thigh MRI Submitted by admin on Mon, 08/28/2023 - 15:33 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.
Single slice thigh CT muscle group segmentation with domain adaptation and self-training Submitted by admin on Mon, 08/28/2023 - 15:32 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.
AIM in Osteoporosis Submitted by admin on Mon, 08/28/2023 - 15:31 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.
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training Submitted by admin on Mon, 08/28/2023 - 15:29 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.
Subspace Analysis for Multi-temporal Disaster Mapping Using Satellite Imagery Submitted by admin on Fri, 12/16/2022 - 10:54 A. M. Okorie and Makrogiannis, S., “Subspace Analysis for Multi-temporal Disaster Mapping Using Satellite Imagery”, in Advances in Visual Computing, Cham, 2022.
