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About
Contact & Profiles
A5004701726
Research Areas
- Retinal Imaging and Analysis
- Text and Document Classification Technologies
- Retinal Diseases and Treatments
- Machine Learning and Data Classification
- Digital Imaging for Blood Diseases
- Evolutionary Algorithms and Applications
- Advanced Graph Neural Networks
- Glaucoma and retinal disorders
- Complex Network Analysis Techniques
Ping An (China)
2019
Hebei University of Technology
2019
José Ignacio Orlando
Huazhu Fu
João Barbosa‐Breda
Karel Van Keer
Deepti R. Bathula
and 26
more
Andrés Diaz-Pinto
Ruogu Fang
Pheng‐Ann Heng
Je-Young Kim
JoonHo Lee
Joonseok Lee
Xiaoxiao Li
Peng Liu
Shuai Lu
Balamurali Murugesan
Valery Naranjo
Sai Samarth R Phaye
Sharath M Shankaranarayana
Apoorva Sikka
Jaemin Son
Anton van den Hengel
Shujun Wang
Junyan Wu
Zifeng Wu
Guanghui Xu
Yongli Xu
Pengshuai Yin
Fei Li
Xiulan Zhang
Yanwu Xu
Hrvoje Bogunović
10.1016/j.media.2019.101570
article
EN
Medical Image Analysis
2019-10-08
Prasanna Porwal
Samiksha Pachade
Manesh Kokare
Girish Deshmukh
Jaemin Son
and 52
more
Woong Bae
Lihong Liu
Jianzong Wang
Xinhui Liu
Liangxin Gao
TianBo Wu
Jing Xiao
Fengyan Wang
Baocai Yin
Yunzhi Wang
Gopichandh Danala
Linsheng He
Yoon Ho Choi
Yeong Chan Lee
Sang‐Hyuk Jung
Zhongyu Li
Xiaodan Sui
Junyan Wu
Xiaolong Li
Ting Zhou
János Tóth
Ágnes Baran
Avinash Kori
Sai Saketh Chennamsetty
Mohammed Safwan
Varghese Alex
Xingzheng Lyu
Li Cheng
Qinhao Chu
Pengcheng Li
Xin Ji
Sanyuan Zhang
Yaxin Shen
Ling Dai
Oindrila Saha
Rachana Sathish
Tânia Melo
Teresa Araújo
Balázs Harangi
Bin Sheng
Ruogu Fang
Debdoot Sheet
András Hajdú
Yuanjie Zheng
Ana Maria Mendonça
Shaoting Zhang
Aurélio Campilho
Bin Zheng
Dinggang Shen
Luca Giancardo
Gwenolé Quellec
Fabrice Mériaudeau
10.1016/j.media.2019.101561
article
EN
Medical Image Analysis
2019-10-03
Identification of community structures is essential for characterizing and analyzing complex networks. Having focusing primarily on network topological structures, most existing methods detection ignore two types non-topological relationships among nodes, i.e., pairwise "must-link" constraints pairs nodes labels such as functions they may have. Here, we present a novel semi-supervised active learning method to integrate these information so increase the accuracy identification. Our new will...
10.1109/access.2019.2962634
article
EN
cc-by
IEEE Access
2019-12-31
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