Non-Destructive Evaluation of the Leaf Nitrogen Concentration by In-Field Visible/Near-Infrared Spectroscopy in Pear Orchards. - Jie Wang; Changwei Shen; Na Liu; Xin Jin; Xueshan Fan; Caixia Dong; Yangchun Xu (Sensors, 2017)

Deep Convolutional Network for Citrus Leaf Diseases Recognition. - Quan Chen; Xin Liu 091; Caixia Dong; Tong Tong; Changcai Yang; Riqing Chen; Tengyue Zou; Xiaolang Yang (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Convolutional Neural Network-Based Approach for Citrus Diseases Recognition. - Caixia Dong; Zheling Xu; Luanyuan Dai; Weinan Liu; Quan Chen; Yizhang Liu; Changcai Yang; Tengyue Zou (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Nitrogen Management Based on Visible/Near Infrared Spectroscopy in Pear Orchards. - Jie Wang; Xiaojun Shi; Yangchun Xu; Caixia Dong (Remote. Sens., 2021)

Adaboost-Based Machine Learning Improved the Modeling Robust and Estimation Accuracy of Pear Leaf Nitrogen Concentration by In-Field VIS-NIR Spectroscopy. - Jie Wang; Wei Xue; Xiaojun Shi; Yangchun Xu; Caixia Dong (Sensors, 2021)

Research on Student Consumption Data Based on Dual-branch Neural Network. - Yizhi Zhang; Jinming Chang; Caixia Dong (ICIEB, 2022)

Visual Servoing of Unknown Objects for Family Service Robots. - Jing Xin; Caixia Dong; Youmin Zhang 001; Yumeng Yao; Ailing Gong (J. Intell. Robotic Syst., 2022)

Correction to: Visual Servoing of Unknown Objects for Family Service Robots. - Jing Xin; Caixia Dong; Youmin Zhang 001; Yumeng Yao; Ailing Gong (J. Intell. Robotic Syst., 2022)

Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation. - Duwei Dai; Caixia Dong; Songhua Xu; Qingsen Yan; Zongfang Li; Chunyan Zhang; Nana Luo (Medical Image Anal., 2022)

Heatwaves Significantly Slow the Vegetation Growth Rate on the Tibetan Plateau. - Caixia Dong; Xufeng Wang; Youhua Ran; Zain Nawaz (Remote. Sens., 2022)

Topology-Preserving Hard Pixel Mining for Tubular Structure Segmentation. - Guoqing Zhang; Caixia Dong; Yang Li (BMVC, 2023)

Learning from dermoscopic images in association with clinical metadata for skin lesion segmentation and classification. - Caixia Dong; Duwei Dai; Yizhi Zhang; Chunyan Zhang; Zongfang Li; Songhua Xu (Comput. Biol. Medicine, 2023)

A novel multi-attention, multi-scale 3D deep network for coronary artery segmentation. - Caixia Dong; Songhua Xu; Duwei Dai; Yizhi Zhang; Chunyan Zhang; Zongfang Li (Medical Image Anal., 2023)

3D Medical image segmentation using parallel transformers. - Qingsen Yan; Shengqiang Liu; Songhua Xu; Caixia Dong; Zongfang Li; Javen Qinfeng Shi; Yanning Zhang 001; Duwei Dai (Pattern Recognit., 2023)

Effectively fusing clinical knowledge and AI knowledge for reliable lung nodule diagnosis. - Duwei Dai; Yongheng Sun; Caixia Dong; Qingsen Yan; Zongfang Li; Songhua Xu (Expert Syst. Appl., 2023)

A novel deep network with triangular-star spatial-spectral fusion encoding and entropy-aware double decoding for coronary artery segmentation. - Caixia Dong; Duwei Dai; Zongfang Li; Songhua Xu (Inf. Fusion, 2024)

I2U-Net: A dual-path U-Net with rich information interaction for medical image segmentation. - Duwei Dai; Caixia Dong; Qingsen Yan; Yongheng Sun; Chunyan Zhang; Zongfang Li; Songhua Xu (Medical Image Anal., 2024)

Hierarchical online contrastive anomaly detection for fetal arrhythmia diagnosis in ultrasound. - Xin Yang 009; Lian Liu; Zhongnuo Yan; Junxuan Yu; Xindi Hu; Xuejuan Yu; Caixia Dong; Ju Chen; Hongmei Liu; Zhuan Yu; Xuedong Deng; Dong Ni 001; et al. (Medical Image Anal., 2024)

Spatial-Temporal Analysis of the Effects of Frost and Temperature on Vegetation in the Third Pole Based on Remote Sensing. - Caixia Dong; Xufeng Wang; Zongxing Li; Jingfeng Xiao; Gaofeng Zhu; Xing Li (Remote. Sens., 2024)

Striking a better balance between segmentation performance and computational costs with a minimalistic network design. - Duwei Dai; Caixia Dong; Xu Yang; Zongfang Li; Songhua Xu (Appl. Soft Comput., 2025)

Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion. - Caixia Dong; Duwei Dai; Xinyi Han; Fan Liu; Xu Yang; Zongfang Li; Songhua Xu (CoRR, 2025)

Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel. - Siqi Chen; Guoqing Zhang; Jiahao Lai; Bingzhi Shen; Sihong Zhang; Caixia Dong; Xuejin Chen; Yang Li (CoRR, 2025)

High-quality coronary artery segmentation via fuzzy logic modeling coupled with dynamic graph convolutional network. - Caixia Dong; Duwei Dai; Yang Li; Songhua Xu (Pattern Recognit., 2026)