Huangjing Lin

According to our database, Huangjing Lin authored at least 22 papers between 2014 and 2023.

Collaborative distances:

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

2023

Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images.

Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen

CoRR, 2023

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

CoRR, 2023

2022

ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT Scans.

Zhizhong Chai, Huangjing Lin, Luyang Luo, Pheng-Ann Heng, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection.

Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Anjia Han, Pheng-Ann Heng

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis.

Huangjing Lin, Hao Chen, Xi Wang, Qiong Wang, Liansheng Wang, Pheng-Ann Heng

Medical Image Anal., 2021

Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification.

Xi Wang, Hao Chen, Huiling Xiang, Huangjing Lin, Xi Lin, 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, Pheng-Ann Heng

CoRR, 2021

OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays.

Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng

CoRR, 2021

OXnet: Deep Omni-Supervised Thoracic Disease Detection from Chest X-Rays.

Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng

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

Dual-Consistency Semi-supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images.

Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng

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

2020

Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis.

Xi Wang, Hao Chen, Caixia Gan, Huangjing Lin, Qi Dou, Efstratios Tsougenis, Qitao Huang, Muyan Cai, Pheng-Ann Heng

IEEE Trans. Cybern., 2020

Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation.

Yanning Zhou, Hao Chen, Huangjing Lin, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection.

Huangjing Lin, Hao Chen, Simon Graham, Qi Dou, Nasir M. Rajpoot, Pheng-Ann Heng

IEEE Trans. Medical Imaging, 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, Svitlana Zinger, Keisuke Fukuta, Daisuke Komura, Vlado Ovtcharov, Shenghua Cheng, Shaoqun Zeng, Jeppe Thagaard, Anders B. Dahl, Huangjing Lin, Hao Chen, Ludwig Jacobsson, Martin Hedlund, Melih Çetin, Eren Halici, Hunter Jackson, Richard Chen, Fabian Both, Jörg Franke, Heidi Küsters-Vandevelde, Willem Vreuls, Peter Bult, Bram van Ginneken, Jeroen van der Laak, Geert Litjens

IEEE Trans. Medical Imaging, 2019

RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification.

Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, Pheng-Ann Heng

Medical Image Anal., 2019

PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis.

Zixu Zhao, Huangjing Lin, Hao Chen, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis.

Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-Slide Image.

Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017

ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images.

Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng

CoRR, 2017

Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning.

Qi Dou, Hao Chen, Yueming Jin, Huangjing Lin, Jing Qin, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2014

Noninvasive Electrocardiographic Imaging of Cardiac Arrhythmias: Enhance the Diagnosis of Bundle Branch Block.

Liansheng Wang, Yiping Chen, Huangjing Lin, Dong Ni

Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2014

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

Proceedings of the 2nd International Conference on 3D Vision, 2014