A 3D Segmentation and Visualization Scheme for Solid and Non-solid Lung Lesions Based on Gaussian Filtering Regularized Level Set. - Liansheng Wang; Huangjing Lin; Xiaoyang Huang; Boliang Wang; Yiping Chen (3DV (Workshops), 2014)

Noninvasive Electrocardiographic Imaging of Cardiac Arrhythmias: Enhance the Diagnosis of Bundle Branch Block. - Liansheng Wang; Yiping Chen; Huangjing Lin; Dong Ni 001 (CLIP@MICCAI, 2014)

Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning. - Qi Dou 001; Hao Chen 011; Yueming Jin; Huangjing Lin; Jing Qin 001; Pheng-Ann Heng (MICCAI (3), 2017)

ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images. - Huangjing Lin; Hao Chen 011; Qi Dou 001; Liansheng Wang; Jing Qin 001; Pheng-Ann Heng (CoRR, 2017)

ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-Slide Image. - Huangjing Lin; Hao Chen 011; Qi Dou 001; Liansheng Wang; Jing Qin 001; Pheng-Ann Heng (WACV, 2018)

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)

PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis. - Zixu Zhao; Huangjing Lin; Hao Chen 011; Pheng-Ann Heng (MICCAI (1), 2019)

RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification. - Shujun Wang; Yaxi Zhu; Lequan Yu; Hao Chen 011; Huangjing Lin; Xiangbo Wan; Xinjuan Fan; Pheng-Ann Heng (Medical Image Anal., 2019)

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. - Péter Bándi; Oscar Geessink; Quirine Manson; Marcory Van Dijk; Maschenka Balkenhol; Meyke Hermsen; Babak Ehteshami Bejnordi; Byungjae Lee; Kyunghyun Paeng; Aoxiao Zhong; Quanzheng Li; Farhad Ghazvinian Zanjani; et al. (IEEE Trans. Medical Imaging, 2019)

Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection. - Huangjing Lin; Hao Chen 011; Simon Graham; Qi Dou 001; Nasir M. Rajpoot; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2019)

Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation. - Yanning Zhou 001; Hao Chen 011; Huangjing Lin; Pheng-Ann Heng (MICCAI (1), 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)

Dual-Consistency Semi-supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images. - Yanwen Li; Luyang Luo; Huangjing Lin; Hao Chen 011; Pheng-Ann Heng (MICCAI (2), 2021)

OXnet: Deep Omni-Supervised Thoracic Disease Detection from Chest X-Rays. - Luyang Luo; Hao Chen 011; Yanning Zhou 001; Huangjing Lin; Pheng-Ann Heng (MICCAI (2), 2021)

OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays. - Luyang Luo; Hao Chen 011; Yanning Zhou 001; Huangjing Lin; Pheng-Ann Heng (CoRR, 2021)

Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. - Zhizhong Chai; Luyang Luo; Huangjing Lin; Hao Chen 011; 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)

Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. - Zhizhong Chai; Luyang Luo; Huangjing Lin; Hao Chen 011; Anjia Han; Pheng-Ann Heng (ISBI, 2022)

ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT Scans. - Zhizhong Chai; Huangjing Lin; Luyang Luo; Pheng-Ann Heng; Hao Chen 011 (MICCAI (3), 2022)

Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images. - Yanwen Li; Luyang Luo; Huangjing Lin; Pheng-Ann Heng; Hao Chen 011 (CoRR, 2023)

Holistic and Historical Instance Comparison for Cervical Cell Detection. - Hao Jiang 028; Runsheng Liu; Yanning Zhou 003; Huangjing Lin; Hao Chen 011 (BIBM, 2024)

GAInS: Gradient Anomaly-aware Biomedical Instance Segmentation. - Runsheng Liu; Hao Jiang 028; Yanning Zhou 001; Huangjing Lin; Liansheng Wang; Hao Chen 011 (BIBM, 2024)

A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model. - Yingxue Xu; Yihui Wang 002; Fengtao Zhou; Jiabo Ma; Shu Yang 004; Huangjing Lin; Xin Wang; Jiguang Wang; Li Liang; Anjia Han; Ronald Cheong Kin Chan; Hao Chen 011 (CoRR, 2024)

Holistic and Historical Instance Comparison for Cervical Cell Detection. - Hao Jiang 028; Runsheng Liu; Yanning Zhou 001; Huangjing Lin; Hao Chen 011 (CoRR, 2024)

Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images. - Zhizhong Chai; Luyang Luo; Huangjing Lin; Pheng-Ann Heng; Hao Chen 011 (IEEE Trans. Medical Imaging, 2024)

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)

HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification. - Cheng Jin 003; Luyang Luo; Huangjing Lin; Jun Hou; Hao Chen 011 (IEEE Trans. Medical Imaging, 2025)

Scale-Aware Super-Resolution Network With Dual Affinity Learning for Lesion Segmentation From Medical Images. - Luyang Luo; Yanwen Li; Zhizhong Chai; Huangjing Lin; Pheng-Ann Heng; Hao Chen 011 (IEEE Trans. Neural Networks Learn. Syst., 2025)