Dagan Feng
Affiliations: | Hong Kong Polytechnic University (Hong Kong) |
Area:
Computer ScienceGoogle:
"Dagan Feng"Children
Sign in to add trainee| Koon-Pong Wong | grad student | 2000 | Hong Kong Polytechnic University (Hong Kong) |
| Sirong Chen | grad student | 2005 | Hong Kong Polytechnic University (Hong Kong) |
| Hong Fu | grad student | 2007 | Hong Kong Polytechnic University (Hong Kong) |
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Publications
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| Ahn E, Kumar A, Fulham M, et al. (2020) Unsupervised Domain Adaptation to Classify Medical Images using Zero-bias Convolutional Auto-encoders and Context-based Feature Augmentation. Ieee Transactions On Medical Imaging |
| Yan K, Wang X, Kim J, et al. (2020) A New Aggregation of DNN Sparse and Dense Labeling for Saliency Detection. Ieee Transactions On Cybernetics |
| Chen B, Wang L, Wang X, et al. (2020) Abnormality detection in retinal image by individualized background learning Pattern Recognition. 102: 107209 |
| Ahn E, Kumar A, Fulham M, et al. (2019) Convolutional sparse kernel network for unsupervised medical image analysis. Medical Image Analysis. 56: 140-151 |
| Kumar A, Fulham M, Feng D, et al. (2019) Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer. Ieee Transactions On Medical Imaging |
| Liu X, Bi L, Xu Y, et al. (2019) Robust deep learning method for choroidal vessel segmentation on swept source optical coherence tomography images. Biomedical Optics Express. 10: 1601-1612 |
| Zheng Y, Fu H, Li R, et al. (2019) Intelligent Evaluation of Strabismus in Videos Based on an Automated Cover Test Applied Sciences. 9: 731 |
| Zeng S, Gao C, Wang X, et al. (2019) Multiple Kernel-Based Discriminant Analysis via Support Vectors for Dimension Reduction Ieee Access. 7: 35418-35430 |
| Bi L, Kim J, Ahn E, et al. (2019) Step-wise integration of deep class-specific learning for dermoscopic image segmentation Pattern Recognition. 85: 78-89 |
| Xie Y, Xia Y, Zhang J, et al. (2018) Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT. Ieee Transactions On Medical Imaging |