Hao Chen
Orcid: 0000-0002-8400-3780Affiliations:
- The Hong Kong University of Science and Technology, China
- Imsight Medical Technology, Co., Ltd., Shenzhen, China
- Chinese University of Hong Kong, Computer Science and Engineering, Hong Kong
According to our database1,
Hao Chen
authored at least 110 papers
between 2000 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Efficient Supervised Pretraining of Swin-Transformer for Virtual Staining of Microscopy Images.
IEEE Trans. Medical Imaging, April, 2024
Slim UNETR: Scale Hybrid Transformers to Efficient 3D Medical Image Segmentation Under Limited Computational Resources.
IEEE Trans. Medical Imaging, March, 2024
2023
Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training.
Medical Image Anal., October, 2023
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images.
Medical Image Anal., May, 2023
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation.
IEEE Trans. Medical Imaging, 2023
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images.
Medical Image Anal., 2023
Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN.
CoRR, 2023
Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images.
CoRR, 2023
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images.
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning.
IEEE Trans. Medical Imaging, 2022
Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images.
CoRR, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 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
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Cybern., 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
PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning.
CoRR, 2021
Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs.
CoRR, 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. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
Rectifying Supporting Regions With Mixed and Active Supervision for Rib Fracture Recognition.
IEEE Trans. Medical Imaging, 2020
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2020
UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification.
IEEE J. Biomed. Health Informatics, 2020
IEEE Trans. Cybern., 2020
Nat. Mach. Intell., 2020
Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning.
Medical Image Anal., 2020
Multi-task recurrent convolutional network with correlation loss for surgical video analysis.
Medical Image Anal., 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
IEEE Trans. Intell. Transp. Syst., 2019
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification.
Medical Image Anal., 2019
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images.
Medical Image Anal., 2019
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation.
CoRR, 2019
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation.
IEEE Access, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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
Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation.
Proceedings of the Information Processing in Medical Imaging, 2019
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes.
IEEE Trans. Medical Imaging, 2018
SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network.
IEEE Trans. Medical Imaging, 2018
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images.
NeuroImage, 2018
3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images.
Medical Image Anal., 2018
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation.
CoRR, 2018
CoRR, 2018
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images.
CoRR, 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
MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model.
Proceedings of the British Machine Vision Conference 2018, 2018
SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN With Objectness Prior Interaction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Medical Imaging, 2017
Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge.
IEEE Trans. Medical Imaging, 2017
Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos.
IEEE J. Biomed. Health Informatics, 2017
IEEE Trans. Cybern., 2017
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection.
IEEE Trans. Biomed. Eng., 2017
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge.
Medical Image Anal., 2017
Medical Image Anal., 2017
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.
Medical Image Anal., 2017
3D deeply supervised network for automated segmentation of volumetric medical images.
Medical Image Anal., 2017
DCAN: Deep contour-aware networks for object instance segmentation from histology images.
Medical Image Anal., 2017
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Liver Tumor Segmentation from CT Volumes.
CoRR, 2017
ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images.
CoRR, 2017
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 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
Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017
2016
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks.
IEEE Trans. Medical Imaging, 2016
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge.
CoRR, 2016
CoRR, 2016
Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks.
IEEE J. Biomed. Health Informatics, 2015
Automatic Localization and Identification of Vertebrae in Spine CT via a Joint Learning Model with Deep Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Automatic detection of cerebral microbleeds via deep learning based 3D feature representation.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
2000
Proceedings of the 39th IEEE Conference on Decision and Control, 2000