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)

Content-based retrieval for lung nodule diagnosis using learned distance metric. - Guohui Wei; He Ma; Wei Qian 001; Hongyang Jiang 001; Xinzhuo Zhao (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)

Lung nodule classification using local kernel regression models with out-of-sample extension. - Guohui Wei; He Ma; Wei Qian 001; Fangfang Han; Hongyang Jiang 001; Shouliang Qi; Min Qiu (Biomed. Signal Process. Control., 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)

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)

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)

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)

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)

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)

UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-Scale Generation and Registration Enhancement. - Ruiquan Ge; Zhaojie Fang; Pengxue Wei; Zhanghao Chen; Hongyang Jiang 001; Ahmed Elazab; Wangting Li; Xiang Wan; Shaochong Zhang; Changmiao Wang (IEEE J. Biomed. Health Informatics, 2024)