"Real-Time Localization and Bimodal Point Pattern Analysis of Palms Using UAV Imagery"
Kangning Cui†,‡, Wei Tang†, Rongkun Zhu, Manqi Wang, Gregory D. Larsen, Victor P. Pauca, Sarra Alqahtani, Fan Yang, David Segurado, Paul Fine, Jordan Karubian, Raymond H. Chan, Robert J. Plemmons, Jean-Michel Morel, and Miles R. Silman
ArXiv, 2024
"Accurate Detection and Instance Segmentation of Unstained Living Adherent Cells in Differential Interference Contrast Images"
Fei Pan, Yutong Wu, Kangning Cui, Shuxun Chen, Yanfang Li, Yaofang Liu, Adnan Shakoor, Han Zhao, Beijia Lu, Shaohua Zhi, Raymond H. Chan, and Dong Sun
Comput. Biol. Med., Elsevier, 2024
"Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering"
Kangning Cui†,‡, Ruoning Li, Sam L. Polk, Yinyi Lin, Hongsheng Zhang, James M. Murphy, Robert J. Plemmons, and Raymond H. Chan
Trans. Geosci. Remote Sens., IEEE, 2024
"Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images"
Sam L. Polk, Kangning Cui, Aland H. Y. Chan, David A. Coomes, Robert J. Plemmons, and James M. Murphy
Remote Sens., MDPI, 2023
"Change Detection of Amazonian Alluvial Gold Mining Using Deep Learning and Sentinel-2 Imagery"
Seda Camalan, Kangning Cui, Victor P. Pauca, Sarra Alqahtani, Miles Silman, Raymond H. Chan, Robert J. Plemmons, Evan N. Dethier, Luis E. Fernandez, and David A. Lutz
Remote Sens., MDPI, 2022
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CONFERENCE PUBLICATIONS AND POSTERS
"Detection and Geographic Localization of Natural Objects in the Wild: A Case Study on Palms"
Kangning Cui†,‡, Rongkun Zhu†, Manqi Wang, Wei Tang, Gregory D. Larsen, Victor P. Pauca, Sarra Alqahtani, Fan Yang, David Segurado, David Lutz, Jean-Michel Morel, and Miles R. Silman
in ArXiv, 2025
"A Deep Learning Framework for Fetal Heart Tracking in Ultrasound Videos: Toward Enhanced CHD Detection"
Qianye Yang†, Kangning Cui, Yipeng Hu, Can Peng, Netzahualcoyotl Hernandez-Cruz, Rahul Ahuja, Elena D'Alberti, Raymond H. Chan, Olga Patey, Aris Papageorghiou, and Alison Noble
accepted by FIMH, 2025
"Bilateral Signal Warping for Left Ventricular Hypertrophy Diagnosis"
Wei Tang†, Kangning Cui†, Raymond H. Chan, and Jean-Michel Morel
accepted by ISBI, 2025
"PalmProbNet: A Probabilistic Approach to Understanding Palm Distributions in Ecuadorian Tropical Forest via Transfer Learning"
Kangning Cui†,‡, Zishan Shao, Gregory D. Larsen, Victor P. Pauca, Sarra Alqahtani, David Segurado, João Pinheiro, Manqi Wang, David A. Lutz, Robert J. Plemmons, and Miles Silman
in Proc ACMSE, ACM, 2024
"Optimized Hard Exudate Detection with Supervised Contrastive Learning"
Wei Tang, Kangning Cui‡, and Raymond H. Chan
in Proc ISBI, IEEE, 2024
"Detecting Change due to Alluvial Gold Mining in Peruvian Rainforest Using Recursive Convolutional Neural Networks and Contrastive Learning"
Seda Camalan, Kangning Cui, Victor P. Pauca, Sarra Alqahtani, Miles Silman, Raymond H. Chan, Robert J. Plemmons, Evan N. Dethier, Luis E. Fernandez, and David A. Lutz
in Fall Meeting, AGU, 2022
"Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry"
Kangning Cui†, Ruoning Li, Sam L. Polk, James M. Murphy, Robert J. Plemmons, and Raymond H. Chan
in Proc WHISPERS, IEEE, 2022
"Semi-supervised Change Detection of Small Water Bodies Using RGB and Multispectral Images in Peruvian Rainforests"
Kangning Cui†, Seda Camalan, Ruoning Li, Victor P. Pauca, Sarra Alqahtani, Robert J. Plemmons, Miles Silman, Evan N. Dethier, David A. Lutz, and Raymond H. Chan
in Proc WHISPERS, IEEE, 2022
"Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images"
Sam L. Polk, Kangning Cui, Robert J. Plemmons, and James M. Murphy
in Proc IGARSS, IEEE, 2022
"Unsupervised Detection of Ash Dieback Disease (Hymenoscyphus Fraxineus) Using Diffusion-based Hyperspectral Image Clustering"
Sam L. Polk, Aland H. Y. Chan, Kangning Cui, Robert J. Plemmons, David A. Coomes, and James M. Murphy
in Proc IGARSS, IEEE, 2022
"Classification of Hyperspectral Images Using SVM with Shape-adaptive Reconstruction and Smoothed Total Variation"
Ruoning Li, Kangning Cui, Raymond H. Chan, and Robert J. Plemmons
in Proc IGARSS, IEEE, 2022
"Unsupervised Classification of AVIRIS-NG Hyperspectral Images"
Kangning Cui†,‡ and Robert J. Plemmons
in Proc WHISPERS, IEEE, 2021
† indicates the first authorship, ‡ indicates the correspondence.