Hao Chen
0000-0002-8400-3780
Chinese University of Hong Kong
18 papers found
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Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images
Adaptive Fusion of Deep Learning With Statistical Anatomical Knowledge for Robust Patella Segmentation From CT Images
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images
PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning
Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning–based Radiograph Diagnosis: A Multicenter Study
Development and Evaluation of a Deep Learning Algorithm for Rib Segmentation and Fracture Detection from Multicenter Chest CT Images
Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning
Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis
UD-MIL: Uncertainty-driven Deep Multiple Instance Learning for OCT Image Classification
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images
SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection
Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis
3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: a grand challenge
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