Yangqin Feng

According to our database, Yangqin Feng authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Consistent representation via contrastive learning for skin lesion diagnosis.

Zizhou Wang, Lei Zhang, Xin Shu, Yan Wang, Yangqin Feng

Comput. Methods Programs Biomed., December, 2023

A Feature Space-Restricted Attention Attack on Medical Deep Learning Systems.

Zizhou Wang, Xin Shu, Yan Wang, Yangqin Feng, Lei Zhang, Zhang Yi

IEEE Trans. Cybern., 2023

Contrastive domain adaptation with consistency match for automated pneumonia diagnosis.

Yangqin Feng, Zizhou Wang, Xinxing Xu, Yan Wang, Huazhu Fu, Shaohua Li, Liangli Zhen, Xiaofeng Lei, Yingnan Cui, Jordan Zheng Ting Sim, Yonghan Ting, Joey Tianyi Zhou, Yong Liu, Rick Siow Mong Goh, Cher Heng Tan

Medical Image Anal., 2023

Minimal-Supervised Medical Image Segmentation via Vector Quantization Memory.

Yanyu Xu, Menghan Zhou, Yangqin Feng, Xinxing Xu, Huazhu Fu, Rick Siow Mong Goh, Yong Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

WDCCNet: Weighted Double-Classifier Constraint Neural Network for Mammographic Image Classification.

Yan Wang, Zizhou Wang, Yangqin Feng, Lei Zhang

IEEE Trans. Medical Imaging, 2022

Deep Supervised Domain Adaptation for Pneumonia Diagnosis From Chest X-Ray Images.

Yangqin Feng, Xinxing Xu, Yan Wang, Xiaofeng Lei, Soo Kng Teo, Jordan Zheng Ting Sim, Yonghan Ting, Liangli Zhen, Joey Tianyi Zhou, Yong Liu, Cher Heng Tan

IEEE J. Biomed. Health Informatics, 2022

Feature-Sensitive Deep Convolutional Neural Network for Multi-Instance Breast Cancer Detection.

Yan Wang, Lei Zhang, Xin Shu, Yangqin Feng, Zhang Yi, Qing Lv

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images.

Yan Wang, Yangqin Feng, Lei Zhang, Joey Tianyi Zhou, Yong Liu, Rick Siow Mong Goh, Liangli Zhen

Medical Image Anal., 2022

Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks.

Xiaofeng Lei, Shaohua Li, Xinxing Xu, Huazhu Fu, Yong Liu, Yih Chung Tham, Yangqin Feng, Mingrui Tan, Yanyu Xu, Jocelyn Hui Lin Goh, Rick Siow Mong Goh, Ching-Yu Cheng

Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

2021

Deep adversarial domain adaptation for breast cancer screening from mammograms.

Yan Wang, Yangqin Feng, Lei Zhang, Zizhou Wang, Qing Lv, Zhang Yi

Medical Image Anal., 2021

Few-Shot Domain Adaptation with Polymorphic Transformers.

Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Shu Wei Ting, Rick Siow Mong Goh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Deep Manifold Preserving Autoencoder for Classifying Breast Cancer Histopathological Images.

Yangqin Feng, Lei Zhang, Juan Mo

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

2018

Exudate-based diabetic macular edema recognition in retinal images using cascaded deep residual networks.

Juan Mo, Lei Zhang, Yangqin Feng

Neurocomputing, 2018

Breast cancer cell nuclei classification in histopathology images using deep neural networks.

Yangqin Feng, Lei Zhang, Zhang Yi

Int. J. Comput. Assist. Radiol. Surg., 2018

A multi-level context fusion network for exudate segmentation in retinal images.

Juan Mo, Lei Zhang, Yangqin Feng

Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018