Unsupervised Classification of Aviris-NG Hyperspectral Images. - Kangning Cui; Robert J. Plemmons (WHISPERS, 2021)

Classification of Hyperspectral Images Using SVM with Shape-Adaptive Reconstruction and Smoothed Total Variation. - Ruoning Li; Kangning Cui; Raymond H. Chan; Robert J. Plemmons (IGARSS, 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; James M. Murphy (IGARSS, 2022)

Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images. - Sam L. Polk; Kangning Cui; Robert J. Plemmons; James M. Murphy (IGARSS, 2022)

Semi-Supervised Change Detection Of Small Water Bodies Using Rgb And Multispectral Images In Peruvian Rainforests. - Kangning Cui; Seda Camalan; Ruoning Li; Victor Paúl Pauca; Sarra M. Alqahtani; Robert J. Plemmons; Miles R. Silman; Evan Nylen Dethier; David A. Lutz; Raymond H. Chan (WHISPERS, 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; Raymond H. Chan (WHISPERS, 2022)

Diffusion and Volume Maximization-Based Clustering of Highly Mixed Hyperspectral Images. - Sam L. Polk; Kangning Cui; Robert J. Plemmons; James M. Murphy (CoRR, 2022)

Change Detection of Amazonian Alluvial Gold Mining Using Deep Learning and Sentinel-2 Imagery. - Seda Camalan; Kangning Cui; Victor Paúl Pauca; Sarra M. Alqahtani; Miles R. Silman; Raymond H. Chan; Robert J. Plemmons; Evan Nylen Dethier; Luis E. Fernandez; David A. Lutz (Remote. Sens., 2022)

Dual-View Selective Instance Segmentation Network for Unstained Live Adherent Cells in Differential Interference Contrast Images. - Fei Pan; Yutong Wu 012; Kangning Cui; Shuxun Chen; Yanfang Li; Yaofang Liu; Adnan Shakoor; Han Zhao; Beijia Lu; Shaohua Zhi; Raymond H. Chan; Dong Sun 001 (CoRR, 2023)

A Global and Patch-wise Contrastive Loss for Accurate Automated Exudate Detection. - Wei Tang; Yinxiao Wang; Kangning Cui; Raymond H. Chan (CoRR, 2023)

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; James M. Murphy (Remote. Sens., 2023)

PalmProbNet: A Probabilistic Approach to Understanding Palm Distributions in Ecuadorian Tropical Forest via Transfer Learning. - Kangning Cui; Zishan Shao; Gregory D. Larsen; Victor Paúl Pauca; Sarra M. Alqahtani; David Segurado; João Pinheiro; Manqi Wang; David A. Lutz; Robert J. Plemmons; Miles R. Silman (ACM Southeast Regional Conference, 2024)

Optimized Hard Exudate Detection with Supervised Contrastive Learning. - Wei Tang; Kangning Cui; Raymond H. Chan (ISBI, 2024)

Accurate detection and instance segmentation of unstained living adherent cells in differential interference contrast images. - Fei Pan; Yutong Wu 012; Kangning Cui; Shuxun Chen; Yanfang Li; Yaofang Liu; Adnan Shakoor; Han Zhao; Beijia Lu; Shaohua Zhi; Raymond Honfu Chan; Dong Sun 001 (Comput. Biol. Medicine, 2024)

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 Paúl Pauca; Sarra M. Alqahtani; Fan Yang 023; David Segurado; Paul Fine; Jordan Karubian; Raymond H. Chan; et al. (CoRR, 2024)

Superpixel-Based and Spatially Regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering. - Kangning Cui; Ruoning Li; Sam L. Polk; Yinyi Lin; Hongsheng Zhang 001; James M. Murphy; Robert J. Plemmons; Raymond H. Chan (IEEE Trans. Geosci. Remote. Sens., 2024)

A Deep Learning Framework for Fetal Heart Tracking in Ultrasound Videos: Toward Enhanced Congenital Heart Defects Detection. - Qianye Yang; Kangning Cui; Yipeng Hu; Can Peng; Netzahualcoyotl Hernandez-Cruz; Rahul Ahuja; Elena D'Alberti; Raymond Chan 001; Olga Patey; Aris T. Papageorghiou; J. Alison Noble (FIMH (2), 2025)

Bilateral Signal Warping for Left Ventricular Hypertrophy Diagnosis. - Wei Tang; Kangning Cui; Raymond H. Chan; Jean-Michel Morel (ISBI, 2025)

Efficient Localization and Spatial Distribution Modeling of Canopy Palms Using UAV Imagery. - Kangning Cui; Wei Tang; Rongkun Zhu; Manqi Wang; Gregory D. Larsen; Victor Paúl Pauca; Sarra M. Alqahtani; Fan Yang 023; David Segurado; Paul Fine; Jordan Karubian; Raymond H. Chan; et al. (IEEE Trans. Geosci. Remote. Sens., 2025)

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 Paúl Pauca; Sarra M. Alqahtani; Fan Yang 023; David Segurado; David A. Lutz; Jean-Michel Morel; Miles R. Silman (CoRR, 2025)

Center-guided Classifier for Semantic Segmentation of Remote Sensing Images. - Wei Zhang 243; Mengting Ma; Yizhen Jiang; Rongrong Lian; Zhenkai Wu; Kangning Cui; Xiaowen Ma (CoRR, 2025)

A Local Perspective-based Model for Overlapping Community Detection. - Gaofeng Zhou; Rui-Feng Wang; Kangning Cui (CoRR, 2025)

Blind Restoration of High-Resolution Ultrasound Video. - Chu Chen; Kangning Cui; Pasquale Cascarano; Wei Tang; Elena Loli Piccolomini; Raymond H. Chan (CoRR, 2025)

Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos. - Yingyu Yang; Qianye Yang; Kangning Cui; Can Peng; Elena D'Alberti; Netzahualcoyotl Hernandez-Cruz; Olga Patey; Aris T. Papageorghiou; J. Alison Noble (CoRR, 2025)

MoSAiC: Multi-Modal Multi-Label Supervision-Aware Contrastive Learning for Remote Sensing. - Debashis Gupta; Aditi Golder; Rongkhun Zhu; Kangning Cui; Wei Tang; Fan Yang 023; Ovidiu Csillik; Sarra Alaqahtani; V. Paul Pauca (CoRR, 2025)