Huangjing Lin
Orcid: 0000-0002-6799-9352
According to our database1,
Huangjing Lin
authored at least 27 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images.
IEEE Trans. Medical Imaging, May, 2024
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification.
CoRR, 2024
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images.
CoRR, 2023
2022
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.
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.
Medical Image Anal., 2021
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification.
Medical Image Anal., 2021
Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection.
CoRR, 2021
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
IEEE Trans. Cybern., 2020
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation.
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.
IEEE Trans. Medical Imaging, 2019
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge.
IEEE Trans. Medical Imaging, 2019
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification.
Medical Image Anal., 2019
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis.
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.
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.
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.
CoRR, 2017
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning.
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.
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.
Proceedings of the 2nd International Conference on 3D Vision, 2014