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Publication date Communities Collections Article title Author(s) Journal/Conference
18 Oct 2022 SERC Institute for Infocomm Research ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory-Efficient Medical Image Segmentation Ziyuan Zhao, Andong Zhu, Zeng Zeng, Bharadwaj Veeravalli, Cuntai Guan 2022 IEEE International Conference on Image Processing (ICIP)
12 Jul 2022 SERC Institute for Infocomm Research Automated Detection and Segmentation of HBMs in 3D X-ray Images using Semi-Supervised Deep Learning Ramanpreet Singh Pahwa, Richard Chang, Wang Jie, Xu Xun, Oo Zaw Min, Foo Chuan Sheng, Chong Ser Choong, Vempati Srinivasa Rao 2022 IEEE 72nd Electronic Components and Technology Conference (ECTC)
1 Jul 2021 SERC Institute for Infocomm Research Semi-supervised classification of radiology images with NoTeacher: A teacher that is not mean Balagopal Unnikrishnan, Cuong Nguyen, Shafa Balaram, Chao Li, Chuan Sheng Foo, Pavitra Krishnaswamy Medical Image Analysis
15 Feb 2021 SERC Institute for Infocomm Research Semi-Supervised Deep Learning Based Wireless Interference Identification for IIoT Networks Jiajia Huang, Min Li Huang, Peng Hui Tan, Zhenghua Chen, Sumei Sun 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall)
18 Jan 2021 SERC Institute for Infocomm Research DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan IEEE Journal of Biomedical and Health Informatics
29 Sep 2020 SERC Institute for Infocomm Research Semi-supervised Classification of Diagnostic Radiographs with NoTeacher: A Teacher that is Not Mean Balagopal Unnikrishnan, Cuong Manh Nguyen, Shafa Balaram, Chuan Sheng Foo, Pavitra Krishnaswamy International Conference on Medical Image Computing and Computer-Assisted Intervention
8 Dec 2018 SERC Institute for Infocomm Research Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan, James M. Brown, Houssam Zenati, Andrew Beers, Vijay Chandrasekhar, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy Machine Learning for Health (ML4H) Workshop at NeurIPS 2018