Benefit of Retraining pKa Models Studied Using Internally Measured Data. - Peter Gedeck; Yipin Lu; Suzanne Skolnik; Stephane Rodde; Gavin Dollinger; Weiping Jia; Giuliano Berellini; Riccardo Vianello; Bernard Faller; Franco Lombardo (J. Chem. Inf. Model., 2015)

Vessel extraction from non-fluorescein fundus images using orientation-aware detector. - Benjun Yin; Huating Li; Bin Sheng 001; Xuhong Hou; Yan Chen; Wen Wu 001; Ping Li 016; Ruimin Shen; Yuqian Bao; Weiping Jia (Medical Image Anal., 2015)

Retinal Microaneurysm Detection Using Clinical Report Guided Multi-sieving CNN. - Ling Dai; Bin Sheng 001; Qiang Wu; Huating Li; Xuhong Hou; Weiping Jia; Ruogu Fang (MICCAI (3), 2017)

Abdominal adipose tissues extraction using multi-scale deep neural network. - Fei Jiang 006; Huating Li; Xuhong Hou; Bin Sheng 001; Ruimin Shen; Xiao-Yang Liu; Weiping Jia; Ping Li 016; Ruogu Fang (Neurocomputing, 2017)

Multi-task Fundus Image Quality Assessment via Transfer Learning and Landmarks Detection. - Yaxin Shen; Ruogu Fang; Bin Sheng 001; Ling Dai; Huating Li; Jing Qin 001; Qiang Wu; Weiping Jia (MLMI@MICCAI, 2018)

Clinical Report Guided Retinal Microaneurysm Detection With Multi-Sieving Deep Learning. - Ling Dai; Ruogu Fang; Huating Li; Xuhong Hou; Bin Sheng 001; Qiang Wu; Weiping Jia (IEEE Trans. Medical Imaging, 2018)

Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function Collaborative Learning. - Siyuan Pan; Xuhong Hou; Huating Li; Bin Sheng 001; Ruogu Fang; Yuxin Xue; Weiping Jia; Jing Qin 001 (MICCAI (6), 2019)

Prediction of pKa Using Machine Learning Methods with Rooted Topological Torsion Fingerprints: Application to Aliphatic Amines. - Yipin Lu; Shankara Anand; William A. Shirley; Peter Gedeck; Brian P. Kelley; Suzanne Skolnik; Stephane Rodde; Mai Nguyen; Mika K. Lindvall; Weiping Jia (J. Chem. Inf. Model., 2019)

Domain-invariant interpretable fundus image quality assessment. - Yaxin Shen; Bin Sheng 001; Ruogu Fang; Huating Li; Ling Dai; Skylar E. Stolte; Jing Qin 001; Weiping Jia; Dinggang Shen (Medical Image Anal., 2020)

DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge. - Ruhan Liu; Xiangning Wang; Qiang Wu; Ling Dai; Xi Fang; Tao Yan; Jaemin Son; Shiqi Tang; Jiang Li 001; Zijian Gao; Adrian Galdran; J. M. Poorneshwaran; et al. (Patterns, 2022)

DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images. - Bo Qian; Hao Chen 011; Xiangning Wang; Haoxuan Che; Gitaek Kwon; Jaeyoung Kim; Sungjin Choi; Seoyoung Shin; Felix Krause 002; Markus Unterdechler; Junlin Hou; Rui Feng 001; et al. (CoRR, 2023)

A study on the effect of RMB exchange rate fluctuation on technological innovation and total factor productivity. - Weiping Jia; Ling Wu; Xinya Zeng (Int. J. Manuf. Technol. Manag., 2024)

HRDC challenge: a public benchmark for hypertension and hypertensive retinopathy classification from fundus images. - Bo Qian; Xiangning Wang; Zhouyu Guan; Dawei Yang; An-ran Ran; Tingyao Li; Zheyuan Wang; Yang Wen; Xinming Shu; Jinyang Xie; Shichang Liu; Guanyu Xing; et al. (Vis. Comput., 2025)