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Kangning Cui
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Journal Articles
- 2024
- [j4]Fei Pan, Yutong Wu, Kangning Cui, Shuxun Chen, Yanfang Li, Yaofang Liu, Adnan Shakoor, Han Zhao, Beijia Lu, Shaohua Zhi, Raymond Honfu Chan, Dong Sun:
Accurate detection and instance segmentation of unstained living adherent cells in differential interference contrast images. Comput. Biol. Medicine 182: 109151 (2024) - [j3]Kangning Cui, Ruoning Li, Sam L. Polk, Yinyi Lin, Hongsheng Zhang, James M. Murphy, Robert J. Plemmons, Raymond H. Chan:
Superpixel-Based and Spatially Regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - 2023
- [j2]Sam L. Polk, Kangning Cui, Aland H. Y. Chan, David A. Coomes, Robert J. Plemmons, James M. Murphy:
Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images. Remote. Sens. 15(4): 1053 (2023) - 2022
- [j1]Seda Camalan, Kangning Cui, Victor Paúl Pauca, Sarra M. Alqahtani, Miles Silman, Raymond H. Chan, Robert J. Plemmons, Evan Nylen Dethier, Luis E. Fernandez, David A. Lutz:
Change Detection of Amazonian Alluvial Gold Mining Using Deep Learning and Sentinel-2 Imagery. Remote. Sens. 14(7): 1746 (2022)
Conference and Workshop Papers
- 2024
- [c8]Kangning Cui, Zishan Shao, Gregory Larsen, Victor Paúl Pauca, Sarra M. Alqahtani, David Segurado, João Pinheiro, Manqi Wang, David A. Lutz, Robert J. Plemmons, Miles Silman:
PalmProbNet: A Probabilistic Approach to Understanding Palm Distributions in Ecuadorian Tropical Forest via Transfer Learning. ACM Southeast Regional Conference 2024: 272-277 - [c7]Wei Tang, Kangning Cui, Raymond H. Chan:
Optimized Hard Exudate Detection with Supervised Contrastive Learning. ISBI 2024: 1-5 - 2022
- [c6]Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy:
Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images. IGARSS 2022: 1364-1367 - [c5]Ruoning Li, Kangning Cui, Raymond H. Chan, Robert J. Plemmons:
Classification of Hyperspectral Images Using SVM with Shape-Adaptive Reconstruction and Smoothed Total Variation. IGARSS 2022: 1368-1371 - [c4]Sam L. Polk, Aland H. Y. Chan, Kangning Cui, Robert J. Plemmons, David A. Coomes, James M. Murphy:
Unsupervised Detection of ASH Dieback Disease (Hymenoscyphus Fraxineus) Using Diffusion-Based Hyperspectral Image Clustering. IGARSS 2022: 2287-2290 - [c3]Kangning Cui, Seda Camalan, Ruoning Li, Victor Paúl Pauca, Sarra M. Alqahtani, Robert J. Plemmons, Miles Silman, Evan Nylen Dethier, David A. Lutz, Raymond H. Chan:
Semi-Supervised Change Detection Of Small Water Bodies Using Rgb And Multispectral Images In Peruvian Rainforests. WHISPERS 2022: 1-5 - [c2]Kangning Cui, Ruoning Li, Sam L. Polk, James M. Murphy, Robert J. Plemmons, Raymond H. Chan:
Unsupervised Spatial-Spectral Hyperspectral Image Reconstruction And Clustering With Diffusion Geometry. WHISPERS 2022: 1-5 - 2021
- [c1]Kangning Cui, Robert J. Plemmons:
Unsupervised Classification of Aviris-NG Hyperspectral Images. WHISPERS 2021: 1-5
Informal and Other Publications
- 2024
- [i10]Kangning Cui, Zishan Shao, Gregory Larsen, Victor Paúl Pauca, Sarra M. Alqahtani, David Segurado, João Pinheiro, Manqi Wang, David A. Lutz, Robert J. Plemmons, Miles Silman:
PalmProbNet: A Probabilistic Approach to Understanding Palm Distributions in Ecuadorian Tropical Forest via Transfer Learning. CoRR abs/2403.03161 (2024) - 2023
- [i9]Fei Pan, Yutong Wu, Kangning Cui, Shuxun Chen, Yanfang Li, Yaofang Liu, Adnan Shakoor, Han Zhao, Beijia Lu, Shaohua Zhi, Raymond H. Chan, Dong Sun:
Dual-View Selective Instance Segmentation Network for Unstained Live Adherent Cells in Differential Interference Contrast Images. CoRR abs/2301.11499 (2023) - [i8]Wei Tang, Yinxiao Wang, Kangning Cui, Raymond H. Chan:
A Global and Patch-wise Contrastive Loss for Accurate Automated Exudate Detection. CoRR abs/2302.11517 (2023) - [i7]Kangning Cui, Ruoning Li, Sam L. Polk, Yinyi Lin, Hongsheng Zhang, James M. Murphy, Robert J. Plemmons, Raymond H. Chan:
Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering. CoRR abs/2312.15447 (2023) - 2022
- [i6]Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy:
Diffusion and Volume Maximization-Based Clustering of Highly Mixed Hyperspectral Images. CoRR abs/2203.09992 (2022) - [i5]Ruoning Li, Kangning Cui, Raymond H. Chan, Robert J. Plemmons:
Classification of Hyperspectral Images Using SVM with Shape-adaptive Reconstruction and Smoothed Total Variation. CoRR abs/2203.15619 (2022) - [i4]Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy:
Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images. CoRR abs/2204.06298 (2022) - [i3]Sam L. Polk, Aland H. Y. Chan, Kangning Cui, Robert J. Plemmons, David A. Coomes, James M. Murphy:
Unsupervised detection of ash dieback disease (Hymenoscyphus fraxineus) using diffusion-based hyperspectral image clustering. CoRR abs/2204.09041 (2022) - [i2]Kangning Cui, Ruoning Li, Sam L. Polk, James M. Murphy, Robert J. Plemmons, Raymond H. Chan:
Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry. CoRR abs/2204.13497 (2022) - [i1]Kangning Cui, Seda Camalan, Ruoning Li, Victor Paúl Pauca, Sarra M. Alqahtani, Robert J. Plemmons, Miles Silman, Evan Nylen Dethier, David A. Lutz, Raymond H. Chan:
Semi-supervised Change Detection of Small Water Bodies Using RGB and Multispectral Images in Peruvian Rainforests. CoRR abs/2206.09365 (2022)
Coauthor Index
aka: Raymond Honfu Chan
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