A Novel Indicator for Cuff-Less Blood Pressure Estimation Based on Photoplethysmography. - Hongyang Jiang 001; Fen Miao; Mengdi Gao; Xi Hong; Qingyun He; He Ma; Ye Li 002 (HIS, 2016)

A novel pixel value space statistics map of the pulmonary nodule for classification in computerized tomography images. - Hongyang Jiang 001; He Ma; Wei Qian 001; Guohui Wei; Xinzhuo Zhao; Mengdi Gao (EMBC, 2017)

An Assisted Diagnosis System for Detection of Early Pulmonary Nodule in Computed Tomography Images. - Jikui Liu; Hongyang Jiang 001; Mengdi Gao; Chen-Guang He; Yu Wang; Pu Wang; He Ma; Ye Li 002 (J. Medical Syst., 2017)

A Delayed-Excitation Data Acquisition Method for High-Frequency Ultrasound Imaging. - Weibao Qiu; Jingjing Xia; Yulong Shi; Peitian Mu; Xingying Wang; Mengdi Gao; Congzhi Wang; Yang Xiao 012; Ge Yang; Jihong Liu; Lei Sun 002; Hairong Zheng (IEEE Trans. Biomed. Eng., 2018)

An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network. - Hongyang Jiang 001; He Ma; Wei Qian 001; Mengdi Gao; Yan Li (IEEE J. Biomed. Health Informatics, 2018)

Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling. - Mengdi Gao; Jamie Haddock; Denali Molitor; Deanna Needell; Eli Sadovnik; Tyler Will; Runyu Zhang (CAMSAP, 2019)

Quantitative pathologic analysis of pulmonary nodules using three-dimensional computed tomography images based on latent Dirichlet allocation. - Mengdi Gao; Hongyang Jiang 001; Dongdong Zhang; He Ma; Wei Qian 001 (EMBC, 2019)

An Interpretable Ensemble Deep Learning Model for Diabetic Retinopathy Disease Classification. - Hongyang Jiang 001; Kang Yang; Mengdi Gao; Dongdong Zhang; He Ma; Wei Qian 001 (EMBC, 2019)

Soft Computing Techniques for Surface Roughness Prediction in Hard Turning: A Literature Review. - Kang He 003; Mengdi Gao; Zhuanzhe Zhao (IEEE Access, 2019)

A Multi-Label Deep Learning Model with Interpretable Grad-CAM for Diabetic Retinopathy Classification. - Hongyang Jiang 001; Jie Xu 010; Rongjie Shi; Kang Yang; Dongdong Zhang; Mengdi Gao; He Ma; Wei Qian 001 (EMBC, 2020)

An Integrated Optimization Decision Method for Remanufacturing Process Based on Conditional Evidence Theory Under Uncertainty. - Zongke Bao; Wenyi Li; Mengdi Gao; Conghu Liu; Xugang Zhang; Wei Cai 007 (IEEE Access, 2020)

Neonatal Fundus Image Registration and Mosaic Using Improved Speeded Up Robust Features Based on Shannon Entropy. - Hongyang Jiang 001; Mengdi Gao; Kang Yang; Dongdong Zhang; He Ma; Wei Qian 001 (EMBC, 2021)

A Dynamic Priority Packet Scheduling Scheme for Post-disaster UAV-assisted Mobile Ad Hoc network. - Mengdi Gao; Biling Zhang; Li Wang 039 (WCNC, 2021)

A Label Management Mechanism for Retinal Fundus Image Classification of Diabetic Retinopathy. - Mengdi Gao; Ximeng Feng; Mufeng Geng; Zhe Jiang; Lei Zhu 012; Xiangxi Meng 001; Chuanqing Zhou; Qiushi Ren; Yanye Lu (CoRR, 2021)

Multiobjective Optimization of Roadheader Shovel-Plate Parameters Using Gray Weight and Particle Swarm Optimization. - Qiang Li; Songyong Liu; Mengdi Gao (IEEE Access, 2022)

Triplet Cross-Fusion Learning for Unpaired Image Denoising in Optical Coherence Tomography. - Mufeng Geng; Xiangxi Meng 001; Lei Zhu 012; Zhe Jiang; Mengdi Gao; Zhiyu Huang; Bin Qiu; Yicheng Hu; Yibao Zhang; Qiushi Ren; Yanye Lu (IEEE Trans. Medical Imaging, 2022)

Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling. - Tyler Will; Runyu Zhang; Eli Sadovnik; Mengdi Gao; Joshua Vendrow; Jamie Haddock; Denali Molitor; Deanna Needell (CoRR, 2023)

Eye tracking guided deep multiple instance learning with dual cross-attention for fundus disease detection. - Hongyang Jiang 001; Jingqi Huang; Chen Tang; Xiaoqing Zhang 001; Mengdi Gao; Jiang Liu 001 (CoRR, 2023)

Label-noise-tolerant medical image classification via self-attention and self-supervised learning. - Hongyang Jiang 001; Mengdi Gao; Yan Hu; Qiushi Ren; Zhaoheng Xie; Jiang Liu 001 (CoRR, 2023)

GlanceSeg: Real-time microaneurysm lesion segmentation with gaze-map-guided foundation model for early detection of diabetic retinopathy. - Hongyang Jiang 001; Mengdi Gao; Zirong Liu; Chen Tang; Xiaoqing Zhang 001; Shuai Jiang; Wu Yuan 001; Jiang Liu 001 (CoRR, 2023)

Multi-Learner Based Deep Meta-Learning for Few-Shot Medical Image Classification. - Hongyang Jiang 001; Mengdi Gao; Heng Li 010; Richu Jin; Hanpei Miao; Jiang Liu 001 (IEEE J. Biomed. Health Informatics, 2023)

Eye tracking based deep learning analysis for the early detection of diabetic retinopathy: A pilot study. - Hongyang Jiang 001; Yilin Hou; Hanpei Miao; Haili Ye; Mengdi Gao; Xiaoling Li; Richu Jin; Jiang Liu 001 (Biomed. Signal Process. Control., 2023)

Discriminative ensemble meta-learning with co-regularization for rare fundus diseases diagnosis. - Mengdi Gao; Hongyang Jiang 001; Lei Zhu 012; Zhe Jiang; Mufeng Geng; Qiushi Ren; Yanye Lu (Medical Image Anal., 2023)

SSL-ENSAM: Utilizing Sam for Semi-Supervised Retinal Vessel Segmentation with Quality-Aware Enhancement. - Mengxian He; Minqing Zhang; Hing Lam Chang; Xiaoyi Feng; Mengdi Gao; Shuai Jiang; Wu Yuan 001 (ISBI, 2024)

Diversified and Structure-Realistic Fundus Image Synthesis for Diabetic Retinopathy Lesion Segmentation. - Xiaoyi Feng; Minqing Zhang; Mengxian He; Mengdi Gao; Hao Wei; Wu Yuan 001 (MICCAI (12), 2024)

DCAMIL: Eye-tracking guided dual-cross-attention multi-instance learning for refining fundus disease detection. - Hongyang Jiang 001; Mengdi Gao; Jingqi Huang; Chen Tang; Xiaoqing Zhang 001; Jiang Liu 001 (Expert Syst. Appl., 2024)

Landscape Design Utilizing Visual Communication Technologies. - Mengdi Gao; Chenyu Hu (Int. J. Inf. Syst. Model. Des., 2025)