Gustavo K. Rohde, Ph.D.
Affiliations: | 2005 | University of Maryland, College Park, College Park, MD |
Area:
Mathematics, Electronics and Electrical EngineeringGoogle:
"Gustavo Rohde"Parents
Sign in to add mentorCarlos A. Berenstein | grad student | 2005 | University of Maryland | |
(Registration methods for quantitative imaging.) |
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Publications
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Shifat-E-Rabbi M, Zhuang Y, Li S, et al. (2022) Invariance encoding in sliced-Wasserstein space for image classification with limited training data. Pattern Recognition. 137 |
Shifat-E-Rabbi M, Yin X, Rubaiyat AHM, et al. (2021) Radon Cumulative Distribution Transform Subspace Modeling for Image Classification. Journal of Mathematical Imaging and Vision. 63: 1185-1203 |
Kundu S, Ashinsky BG, Bouhrara M, et al. (2020) Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning. Proceedings of the National Academy of Sciences of the United States of America |
Rubaiyat AHM, Hallam KM, Nichols JM, et al. (2020) Parametric Signal Estimation Using the Cumulative Distribution Transform. Ieee Transactions On Signal Processing : a Publication of the Ieee Signal Processing Society. 68: 3312-3324 |
Shifat-E-Rabbi M, Yin X, Fitzgerald CE, et al. (2020) Cell Image Classification: A Comparative Overview. Cytometry. Part a : the Journal of the International Society For Analytical Cytology |
Zhuang Y, McDonald M, Uribe O, et al. (2020) Facial Weakness Analysis and Quantification Of Static Images. Ieee Journal of Biomedical and Health Informatics |
Yang M, Hu J, Li C, et al. (2019) An In-Depth Survey of Underwater Image Enhancement and Restoration Ieee Access. 7: 123638-123657 |
Corliss BA, Mathews C, Doty R, et al. (2018) Methods to label, image, and analyze the complex structural architectures of microvascular networks. Microcirculation (New York, N.Y. : 1994). e12520 |
Qi Q, Li Y, Wang J, et al. (2018) Label-efficient Breast Cancer Histopathological Image Classification. Ieee Journal of Biomedical and Health Informatics |
Liu C, Huang Y, Ozolek JA, et al. (2018) SetSVM: An Approach to Set Classification in Nuclei-based Cancer Detection. Ieee Journal of Biomedical and Health Informatics |