A multi-level context fusion network for exudate segmentation in retinal images. - Juan Mo; Lei Zhang 005; Yangqin Feng (ICACI, 2018)

Breast cancer cell nuclei classification in histopathology images using deep neural networks. - Yangqin Feng; Lei Zhang 005; Zhang Yi 001 (Int. J. Comput. Assist. Radiol. Surg., 2018)

Exudate-based diabetic macular edema recognition in retinal images using cascaded deep residual networks. - Juan Mo; Lei Zhang 005; Yangqin Feng (Neurocomputing, 2018)

Deep Manifold Preserving Autoencoder for Classifying Breast Cancer Histopathological Images. - Yangqin Feng; Lei Zhang 005; Juan Mo (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Few-Shot Domain Adaptation with Polymorphic Transformers. - Shaohua Li 003; Xiuchao Sui; Jie Fu; Huazhu Fu; Xiangde Luo; Yangqin Feng; Xinxing Xu; Yong Liu 026; Daniel Shu Wei Ting; Rick Siow Mong Goh (MICCAI (2), 2021)

Deep adversarial domain adaptation for breast cancer screening from mammograms. - Yan Wang 015; Yangqin Feng; Lei Zhang 005; Zizhou Wang; Qing Lv; Zhang Yi 001 (Medical Image Anal., 2021)

Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks. - Xiaofeng Lei; Shaohua Li 003; Xinxing Xu; Huazhu Fu; Yong Liu 026; Yih Chung Tham; Yangqin Feng; Mingrui Tan; Yanyu Xu; Jocelyn Hui Lin Goh; Rick Siow Mong Goh; Ching-Yu Cheng (OMIA@MICCAI, 2022)

Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images. - Yan Wang 015; Yangqin Feng; Lei Zhang 005; Joey Tianyi Zhou; Yong Liu 026; Rick Siow Mong Goh; Liangli Zhen (Medical Image Anal., 2022)

Feature-Sensitive Deep Convolutional Neural Network for Multi-Instance Breast Cancer Detection. - Yan Wang 015; Lei Zhang 005; Xin Shu; Yangqin Feng; Zhang Yi 001; Qing Lv (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Deep Supervised Domain Adaptation for Pneumonia Diagnosis From Chest X-Ray Images. - Yangqin Feng; Xinxing Xu; Yan Wang 015; Xiaofeng Lei; Soo Kng Teo; Jordan Zheng Ting Sim; Yonghan Ting; Liangli Zhen; Joey Tianyi Zhou; Yong Liu 026; Cher Heng Tan (IEEE J. Biomed. Health Informatics, 2022)

WDCCNet: Weighted Double-Classifier Constraint Neural Network for Mammographic Image Classification. - Yan Wang 015; Zizhou Wang; Yangqin Feng; Lei Zhang 005 (IEEE Trans. Medical Imaging, 2022)

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 026 (MICCAI (3), 2023)

Contrastive domain adaptation with consistency match for automated pneumonia diagnosis. - Yangqin Feng; Zizhou Wang; Xinxing Xu; Yan Wang 015; Huazhu Fu; Shaohua Li 003; Liangli Zhen; Xiaofeng Lei; Yingnan Cui; Jordan Zheng Ting Sim; Yonghan Ting; Joey Tianyi Zhou; et al. (Medical Image Anal., 2023)

A Feature Space-Restricted Attention Attack on Medical Deep Learning Systems. - Zizhou Wang; Xin Shu; Yan Wang 015; Yangqin Feng; Lei Zhang 005; Zhang Yi 001 (IEEE Trans. Cybern., 2023)

Consistent representation via contrastive learning for skin lesion diagnosis. - Zizhou Wang; Lei Zhang 005; Xin Shu; Yan Wang 015; Yangqin Feng (Comput. Methods Programs Biomed., 2023)

Enhancing Community Vision Screening: AI-Driven Retinal Photography for Early Disease Detection and Patient Trust. - Xiaofeng Lei; Yih Chung Tham; Jocelyn Hui Lin Goh; Yangqin Feng; Yang Bai; Zhi Da Soh; Rick Siow Mong Goh; Xinxing Xu; Yong Liu 026; Ching-Yu Cheng (OMIA@MICCAI, 2024)

Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis. - Yan Wang 015; Liangli Zhen; Tien-En Tan; Huazhu Fu; Yangqin Feng; Zizhou Wang; Xinxing Xu; Rick Siow Mong Goh; Yipin Ng; Claire Calhoun; Gavin Siew Wei Tan; Jennifer K. Sun; et al. (IEEE Trans. Medical Imaging, 2024)

MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis. - Yan Wang 015; Liangli Zhen; Jianwei Zhang 016; Miqing Li; Lei Zhang 005; Zizhou Wang; Yangqin Feng; Yu Xue 003; Xiao Wang 004; Zheng Chen 012; Tao Luo 014; Rich Siow Mong Goh; et al. (IEEE Trans. Evol. Comput., 2024)

Are Traditional Deep Learning Model Approaches as Effective as a Retinal-Specific Foundation Model for Ocular and Systemic Disease Detection? - Samantha Min Er Yew; Xiaofeng Lei; Jocelyn Hui Lin Goh; Yibing Chen; Sahana Srinivasan; Miao-li Chee; Krithi Pushpanathan; Ke Zou; Qingshan Hou; Zhi Da Soh; Cancan Xue; Marco Chak Yan Yu; et al. (CoRR, 2025)

Continuous Disentangled Joint Space Learning for Domain Generalization. - Zizhou Wang; Yan Wang 015; Yangqin Feng; Jiawei Du; Yong Liu 026; Rick Siow Mong Goh; Liangli Zhen (IEEE Trans. Neural Networks Learn. Syst., 2025)