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Journal Articles
- 2025
[j9]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, Julio Silva-Rodríguez, Riadh Kobbi, Ping Li, Tingli Chen, Lei Bi, Jinman Kim, Weiping Jia, Huating Li, Jing Qin, Ping Zhang, Ching-Yu Cheng, Pheng-Ann Heng, Tien Yin Wong, Carol Y. Cheung, Yih-Chung Tham, Nadia Magnenat-Thalmann, Bin Sheng:
HRDC challenge: a public benchmark for hypertension and hypertensive retinopathy classification from fundus images. Vis. Comput. 41(2): 1061-1077 (2025)- 2024
- [j8]Weiping Jia, Ling Wu, Xinya Zeng:
A study on the effect of RMB exchange rate fluctuation on technological innovation and total factor productivity. Int. J. Manuf. Technol. Manag. 38(6): 494-517 (2024) - 2022
- [j7]Ruhan Liu
, Xiangning Wang, Qiang Wu, Ling Dai, Xi Fang, Tao Yan, Jaemin Son, Shiqi Tang, Jiang Li, Zijian Gao, Adrian Galdran, J. M. Poorneshwaran, Hao Liu, Jie Wang, Yerui Chen, Prasanna Porwal, Gavin Siew Wei Tan, Xiaokang Yang, Chao Dai, Haitao Song, Mingang Chen, Huating Li, Weiping Jia, Dinggang Shen, Bin Sheng, Ping Zhang:
DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge. Patterns 3(6): 100512 (2022) - 2020
- [j6]Yaxin Shen, Bin Sheng, Ruogu Fang, Huating Li, Ling Dai, Skylar E. Stolte, Jing Qin, Weiping Jia, Dinggang Shen:
Domain-invariant interpretable fundus image quality assessment. Medical Image Anal. 61: 101654 (2020) - 2019
- [j5]Yipin Lu, Shankara Anand, William A. Shirley, Peter Gedeck, Brian P. Kelley, Suzanne Skolnik, Stephane Rodde, Mai Nguyen, Mika K. Lindvall, Weiping Jia:
Prediction of pKa Using Machine Learning Methods with Rooted Topological Torsion Fingerprints: Application to Aliphatic Amines. J. Chem. Inf. Model. 59(11): 4706-4719 (2019) - 2018
- [j4]Ling Dai, Ruogu Fang, Huating Li, Xuhong Hou, Bin Sheng, Qiang Wu, Weiping Jia:
Clinical Report Guided Retinal Microaneurysm Detection With Multi-Sieving Deep Learning. IEEE Trans. Medical Imaging 37(5): 1149-1161 (2018) - 2017
- [j3]Fei Jiang, Huating Li, Xuhong Hou, Bin Sheng, Ruimin Shen, Xiao-Yang Liu, Weiping Jia, Ping Li, Ruogu Fang:
Abdominal adipose tissues extraction using multi-scale deep neural network. Neurocomputing 229: 23-33 (2017) - 2015
- [j2]Peter Gedeck, Yipin Lu, Suzanne Skolnik, Stephane Rodde, Gavin Dollinger, Weiping Jia, Giuliano Berellini, Riccardo Vianello, Bernard Faller, Franco Lombardo:
Benefit of Retraining pKa Models Studied Using Internally Measured Data. J. Chem. Inf. Model. 55(7): 1449-1459 (2015) - [j1]Benjun Yin, Huating Li, Bin Sheng, Xuhong Hou, Yan Chen, Wen Wu, Ping Li, Ruimin Shen, Yuqian Bao, Weiping Jia:
Vessel extraction from non-fluorescein fundus images using orientation-aware detector. Medical Image Anal. 26(1): 232-242 (2015)
Conference and Workshop Papers
- 2019
- [c3]Siyuan Pan, Xuhong Hou, Huating Li, Bin Sheng, Ruogu Fang, Yuxin Xue, Weiping Jia, Jing Qin:
Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function Collaborative Learning. MICCAI (6) 2019: 41-49 - 2018
- [c2]Yaxin Shen, Ruogu Fang, Bin Sheng, Ling Dai, Huating Li, Jing Qin, Qiang Wu, Weiping Jia:
Multi-task Fundus Image Quality Assessment via Transfer Learning and Landmarks Detection. MLMI@MICCAI 2018: 28-36 - 2017
- [c1]Ling Dai, Bin Sheng, Qiang Wu, Huating Li, Xuhong Hou, Weiping Jia, Ruogu Fang:
Retinal Microaneurysm Detection Using Clinical Report Guided Multi-sieving CNN. MICCAI (3) 2017: 525-532
Informal and Other Publications
- 2023
- [i1]Bo Qian, Hao Chen, Xiangning Wang, Haoxuan Che, Gitaek Kwon, Jaeyoung Kim, Sungjin Choi, Seoyoung Shin, Felix Krause, Markus Unterdechler, Junlin Hou, Rui Feng, Yihao Li, Mostafa El Habib Daho, Qiang Wu, Ping Zhang, Xiaokang Yang, Yiyu Cai, Weiping Jia, Huating Li, Bin Sheng:
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images. CoRR abs/2304.02389 (2023)
Coauthor Index
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