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Yangqin Feng
Yangqin Feng
Verified email at ihpc.a-star.edu.sg - Homepage
Title
Cited by
Cited by
Year
Exudate-based diabetic macular edema recognition in retinal images using cascaded deep residual networks
J Mo, L Zhang, Y Feng
Neurocomputing 290, 161-171, 2018
1222018
Deep manifold preserving autoencoder for classifying breast cancer histopathological images
Y Feng, L Zhang, J Mo
IEEE/ACM transactions on computational biology and bioinformatics 17 (1), 91-101, 2018
782018
Breast cancer cell nuclei classification in histopathology images using deep neural networks
Y Feng, L Zhang, Z Yi
International journal of computer assisted radiology and surgery 13, 179-191, 2018
722018
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images
Y Wang, Y Feng, L Zhang, JT Zhou, Y Liu, RSM Goh, L Zhen
Medical Image Analysis 81, 102535, 2022
382022
Deep supervised domain adaptation for pneumonia diagnosis from chest X-ray images
Y Feng, X Xu, Y Wang, X Lei, SK Teo, JSZ Ting, Y Ting, L Zhen, JT Zhou, ...
IEEE Journal of Biomedical and Health Informatics, 2021
252021
Deep adversarial domain adaptation for breast cancer screening from mammograms
Y Wang, Y Feng, L Zhang, Z Wang, Q Lv, Z Yi
Medical Image Analysis, 102147, 2021
192021
Few-shot domain adaptation with polymorphic transformers
S Li, X Sui, J Fu, H Fu, X Luo, Y Feng, X Xu, Y Liu, D Ting, RSM Goh
International Conference on Medical Image Computing and Computer Assisted …, 2021
172021
WDCCNet: Weighted Double-Classifier Constraint Neural Network for Mammographic Image Classification
Y Wang, Z Wang, Y Feng, L Zhang
IEEE Transactions on Medical Imaging, 2021
132021
Contrastive Domain Adaptation with Consistency Match for Automated Pneumonia Diagnosis
Y Feng, Z Wang, X Xu, Y Wang, H Fu, S Li, L Zhen, X Lei, Y Cui, JSZ Ting, ...
Medical Image Analysis, 2022
122022
Application of deep neural networks to improve diagnostic accuracy of rheumatoid arthritis using diffuse optical tomography
Y Feng, D Lighter, L Zhang, Y Wang, H Dehghani
Quantum Electronics 50 (1), 21, 2020
112020
Diagnostic performance of a deep learning model deployed at a national COVID-19 screening facility for detection of pneumonia on frontal chest radiographs
JZT Sim, YH Ting, Y Tang, Y Feng, X Lei, X Wang, WX Chen, S Huang, ...
Healthcare 10 (1), 175, 2022
102022
Feature-sensitive deep convolutional neural network for multi-instance breast cancer detection
Y Wang, L Zhang, X Shu, Y Feng, Y Zhang, Q Lv
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021
102021
A feature space-restricted attention attack on medical deep learning systems
Z Wang, X Shu, Y Wang, Y Feng, L Zhang, Z Yi
IEEE Transactions on Cybernetics, 2022
92022
Deep neural networks improve diagnostic accuracy of rheumatoid arthritis using diffuse optical tomography
H Dehghani, Y Feng, D Lighter, L Zhang, Y Wang
European Conference on Biomedical Optics, 11074_52, 2019
72019
A multi-level context fusion network for exudate segmentation in retinal images
J Mo, L Zhang, Y Feng
International Conference on Advanced Computational Intelligence (ICACI), 243-248, 2018
32018
A dual simple recurrent network model for chunking and abstract processes in sequence learning
L Wang, Y Feng, Q Fu, J Wang, X Sun, X Fu, L Zhang, Z Yi
Frontiers in Psychology 12, 1348, 2021
22021
Consistent representation via contrastive learning for skin lesion diagnosis
Z Wang, L Zhang, X Shu, Y Wang, Y Feng
Computer Methods and Programs in Biomedicine 242, 107826, 2023
12023
Deep Neural Network Augments Performance of Junior Residents in Diagnosing COVID-19 Pneumonia on Chest Radiographs
Y Feng, JSZ Ting, X Xu, CB Kun, EOT En, HITW Jun, Y Ting, X Lei, ...
Diagnostics, 2023
12023
Localizing anatomical landmarks in ocular images using zoom-in attentive networks
X Lei, S Li, X Xu, H Fu, Y Liu, YC Tham, Y Feng, M Tan, Y Xu, JHL Goh, ...
International Workshop on Ophthalmic Medical Image Analysis, 94-104, 2022
12022
Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis
Y Wang, L Zhen, TE Tan, H Fu, Y Feng, Z Wang, X Xu, RSM Goh, Y Ng, ...
IEEE Transactions on Medical Imaging, 2024
2024
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