Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks. - Hao Chen 011; Qi Dou 001; Xi Wang 013; Jing Qin 001; Pheng-Ann Heng (AAAI, 2016)

Automated mitosis detection with deep regression networks. - Hao Chen 011; Xi Wang 013; Pheng-Ann Heng (ISBI, 2016)

3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation. - Hao Chen 011; Qi Dou 001; Xi Wang 013; Jing Qin 001; Jack Chun Yiu Cheng; Pheng-Ann Heng (MIAR, 2016)

Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis. - Luyang Luo; Hao Chen 011; Xi Wang 013; Qi Dou 001; Huangjing Lin; Juan Zhou; Gongjie Li; Pheng-Ann Heng (MICCAI (4), 2019)

Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening. - Xi Wang 013; Hao Chen 011; Luyang Luo; An-ran Ran; Poemen P. Chan; Clement C. Tham; Carol Y. Cheung; Pheng-Ann Heng (MICCAI (1), 2019)

Framework of Evolutionary Algorithm for Investigation of Influential Nodes in Complex Networks. - Yang Liu 144; Xi Wang 013; Jürgen Kurths (IEEE Trans. Evol. Comput., 2019)

Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning. - Xi Wang 013; Hao Chen 011; An-ran Ran; Luyang Luo; Poemen P. Chan; Clement C. Tham; Robert T. Chang; Suria S. Mannil; Carol Y. Cheung; Pheng-Ann Heng (Medical Image Anal., 2020)

Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis. - Xi Wang 013; Hao Chen 011; Caixia Gan; Huangjing Lin; Qi Dou 001; Efstratios Tsougenis; Qitao Huang; Muyan Cai; Pheng-Ann Heng (IEEE Trans. Cybern., 2020)

UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification. - Xi Wang 013; Fangyao Tang; Hao Chen 011; Luyang Luo; Ziqi Tang; An-ran Ran; Carol Y. Cheung; Pheng-Ann Heng (IEEE J. Biomed. Health Informatics, 2020)

Deep Mining External Imperfect Data for Chest X-Ray Disease Screening. - Luyang Luo; Lequan Yu; Hao Chen 011; Quande Liu; Xi Wang 013; Jiaqi Xu; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2020)

Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs. - Luyang Luo; Hao Chen 011; Yongjie Xiao; Yanning Zhou 001; Xi Wang 013; Varut Vardhanabhuti; Mingxiang Wu; Pheng-Ann Heng (CoRR, 2021)

Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification. - Xi Wang 013; Hao Chen 011; Huiling Xiang; Huangjing Lin; Xi Lin; Pheng-Ann Heng (Medical Image Anal., 2021)

Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis. - Huangjing Lin; Hao Chen 011; Xi Wang 013; Qiong Wang 001; Liansheng Wang; Pheng-Ann Heng (Medical Image Anal., 2021)

PrEF: Percolation-based Evolutionary Framework for the diffusion-source-localization problem in large networks. - Yang Liu 144; Xiaoqi Wang; Xi Wang 013; Zhen Wang 004; Jürgen Kurths (CoRR, 2022)

Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation. - Yuchen Yuan; Xi Wang 013; Xikai Yang; Ruijiang Li; Pheng-Ann Heng (MICCAI (4), 2023)

Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions. - Luyang Luo; Xi Wang 013; Yi Lin 009; Xiaoqi Ma; Andong Tan; Ronald C. K. Chan; Varut Vardhanabhuti; Winnie C. W. Chu; Kwang-Ting Cheng; Hao Chen 011 (CoRR, 2023)

Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images. - Xi Wang 013; Fangyao Tang; Hao Chen 011; Carol Y. Cheung; Pheng-Ann Heng (Medical Image Anal., 2023)

Decoupling Feature Representations of Ego and Other Modalities for Incomplete Multi-modal Brain Tumor Segmentation. - Kaixiang Yang; Wenqi Shan; Xudong Li; Xuan Wang; Xikai Yang; Xi Wang 013; Pheng-Ann Heng; Qiang Li 018; Zhiwei Wang 002 (BIBM, 2024)

Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI. - Shoujin Huang; Guanxiong Luo; Xi Wang 013; Ziran Chen; Yuwan Wang; Huaishui Yang; Pheng-Ann Heng; Lingyan Zhang; Mengye Lyu (MICCAI (7), 2024)

Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images. - Yuhan Zhang 001; Kun Huang; Xikai Yang; Xiao Ma 011; Jian Wu; Ningli Wang; Xi Wang 013; Pheng-Ann Heng (MICCAI (5), 2024)

Cross-modality Guidance-aided Multi-modal Learning with Dual Attention for MRI Brain Tumor Grading. - Dunyuan Xu; Xi Wang 013; Jinyue Cai; Pheng-Ann Heng (CoRR, 2024)

Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images. - Xikai Yang; Jian Wu; Xi Wang 013; Yuchen Yuan; Ningli Wang; Pheng-Ann Heng (CoRR, 2024)

Diffusion Containment in Complex Networks Through Collective Influence of Connections. - Yang Liu 144; Guangbo Liang; Xi Wang 013; Peican Zhu; Zhen Wang 004 (IEEE Trans. Inf. Forensics Secur., 2024)

Efficient approaches for attaining epidemic-free networks with minimum edge removal set. - Yang Liu 144; Guangbo Liang; Xi Wang 013; Zhuoyu Wang; Peican Zhu; Zhen Wang 004 (Commun. Nonlinear Sci. Numer. Simul., 2024)

Fast Outbreak Sense and Effective Source Inference via Minimum Observer Set. - Yang Liu 144; Xi Wang 013; Xiaoqi Wang; Zhen Wang 004 (IEEE/ACM Trans. Netw., 2024)

Generalist medical foundation model improves prostate cancer segmentation from multimodal MRI images. - Yuhan Zhang 001; Xiao Ma 011; Mingchao Li; Kun Huang; Jie Zhu; Miao Wang; Xi Wang 013; Menglin Wu; Pheng-Ann Heng (npj Digit. Medicine, 2025)

Diffusion Source Inference for Large-Scale Complex Networks Based on Network Percolation. - Yang Liu 144; Xiaoqi Wang; Xi Wang 013; Zhen Wang 004; Jürgen Kurths (IEEE Trans. Neural Networks Learn. Syst., 2025)

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation. - Hao Jiang 028; Cheng Jin 003; Huangjing Lin; Yanning Zhou 001; Xi Wang 013; Jiabo Ma; Li Ding; Jun Hou; Runsheng Liu; Zhizhong Chai; Luyang Luo; Huijuan Shi; et al. (CoRR, 2025)

FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition. - Linshan Wu; Jiaxin Zhuang; Yanning Zhou 003; Sunan He; Jiabo Ma; Luyang Luo; Xi Wang 013; Xuefeng Ni; Xiaoling Zhong; Mingxiang Wu; Yinghua Zhao; Xiaohui Duan; et al. (CoRR, 2025)

Efficient Continuous Network Dismantling. - Yang Liu 144; Xiaoqi Chen; Xi Wang 013; Zhen Su; Shiqi Fan; Zhen Wang 004 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Effective Semi-Supervised Medical Image Segmentation With Probabilistic Representations and Prototype Learning. - Yuchen Yuan; Xi Wang 013; Xikai Yang; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2025)

Multi-Scale Spatio-Temporal Transformer-Based Imbalanced Longitudinal Learning for Glaucoma Forecasting From Irregular Time Series Images. - Xikai Yang; Jian Wu; Xi Wang 013; Yuchen Yuan; Jinpeng Li 004; Guangyong Chen; Ning Li Wang; Pheng-Ann Heng (IEEE J. Biomed. Health Informatics, 2025)

PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology. - Jiabo Ma; Yingxue Xu; Fengtao Zhou; Yihui Wang 002; Cheng Jin 003; Zhengrui Guo; Jianfeng Wu; On Ki Tang; Huajun Zhou; Xi Wang 013; Luyang Luo; Zhengyu Zhang; et al. (CoRR, 2025)

Segment Anything in Pathology Images with Natural Language. - Zhixuan Chen; Junlin Hou; Liqi Lin; Yihui Wang 002; Yequan Bie; Xi Wang 013; Yanning Zhou 003; Ronald Cheong Kin Chan; Hao Chen 011 (CoRR, 2025)