PhD in Computer Science and Engineering
The Chinese University of Hong Kong, 2017
A deep learning system for predicting time to progression of diabetic retinopathy
Article
Article
Automatic segmentation of fat metaplasia on sacroiliac joint MRI using deep learning
Article
BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels
Article
Deep contour attention learning for scleral deformation from OCT images
Article
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions
Article
Deep local-to-global feature learning for medical image super-resolution
Article
Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images
Article
Article
Article
Dual-stream multi-dependency graph neural network enables precise cancer survival analysis
Article
Efficient Supervised Pretraining of Swin-transformer for Virtual Staining of Microscopy Images
Article
Learning co-plane attention across MRI sequences for diagnosing twelve types of knee abnormalities
Article
LENAS: Learning-Based Neural Architecture Search and Ensemble for 3-D Radiotherapy Dose Prediction
Article
Reference-Based OCT Angiogram Super-Resolution With Learnable Texture Generation
Article
Article
Rethinking Self-Training for Semi-Supervised Landmark Detection: A Selection-Free Approach
Article
Article
Aligning Medical Images with General Knowledge from Large Language Models
Conference paper
Anatomy-Guided Fiber Trajectory Distribution Estimation for Cranial Nerves Tractography
Conference paper
Exploring Vision Language Pretraining with Knowledge Enhancement via Large Language Model
Conference paper
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification
Conference paper
Knowledge Injected Multimodal Irregular EHRs Model for Medical Prediction
Conference paper
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment
Conference paper
PromptMRG: Diagnosis-driven prompts for medical report generation
Conference paper
Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
Conference paper
Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection
Conference paper
Target-Aware Knowledge Transfer for Whole Slide Image Classification
Conference paper
Article
Article
Deep learning for computational cytology: A survey
Article
Article
Deep Learning-assisted Diagnosis of Breast Lesions on US Images: A Multivendor, Multicenter Study
Article
Article
Article
Article
Real-Time Semantic Segmentation via a Densely Aggregated Bilateral Network
Article
The Liver Tumor Segmentation Benchmark (LiTS)
Article
Article
Cross-Modal Translation and Alignment for Survival Analysis
Conference paper
DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation
Conference paper
Conference paper
DoNet : Deep De-overlapping Network for Cytology Instance Segmentation
Conference paper
Conference paper
Few Shot Medical Image Segmentation with Cross Attention Transformer
Conference paper
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Conference paper
Conference paper
Conference paper
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation
Conference paper
Scale Federated Learning for Label Set Mismatch in Medical Image Classification
Conference paper
Sparsely Annotated Semantic Segmentation with Adaptive Gaussian Mixtures
Conference paper
Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains
Conference paper
Unsupervised Domain Adaptation for Anatomical Landmark Detection
Conference paper
Article
Article
Article
Article
Article
Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection
Conference paper
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays
Conference paper
Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution
Conference paper
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation
Conference paper
Conference paper
ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT Scans
Conference paper
Pseudo Bias-Balanced Learning for Debiased Chest X-Ray Classification
Conference paper
Sample Alignment for Image-to-Image Translation Based Medical Domain Adaptation
Conference paper
3-D RoI-Aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation
Article
Article
Article
Article
Article
Potentials of AI in medical image analysis in Gastroenterology and Hepatology
Article
Article
Transformation-consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
Article
Conference paper
OXnet: Deep Omni-Supervised Thoracic Disease Detection from Chest X-Rays
Conference paper
A Multi-Organ Nucleus Segmentation Challenge
Article
Deep mining external imperfect data for chest X-ray disease screening
Article
Multi-Task Deep Model with Margin Ranking Loss for Lung Nodule Analysis
Article
Multi-task recurrent convolutional network with correlation loss for surgical video analysis
Article
Rectifying Supporting Regions with Mixed and Active Supervision for Rib Fracture Recognition
Article
Towards a new generation of artificial intelligence in China
Article
Article
UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification
Article
Article
Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis
Article
Deep semi-supervised knowledge distillation for overlapping cervical cell instance segmentation
Conference paper
Conference paper
Automatic lesion detection with three-dimensional convolutional neural networks
Article
Deep learning for automated contouring of primary tumor volumes by MRI for nasopharyngeal carcinoma
Article
Article
Article
Article
Article
Article
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification
Article
SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection
Article
Article
Deep multilevel contextual networks for biomedical image segmentation
Book chapter
Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning
Book chapter
Conference paper
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis
Conference paper
CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation
Conference paper
Conference paper
Deep angular embedding and feature correlation attention for breast MRI cancer analysis
Conference paper
Conference paper
IRNet: Instance relation network for overlapping cervical cell segmentation
Conference paper
Light-weight hybrid convolutional network for liver tumor segmentation
Conference paper
Conference paper
PRSNet: Part Relation and Selection Network for Bone Age Assessment
Conference paper
Robust learning at noisy labeled medical images: Applied to skin lesion classification
Conference paper
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion
Conference paper
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model
Conference paper
Conference paper
Conference paper
Article
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Article
SV-RCNet: Workflow recognition from surgical videos using recurrent convolutional network
Article
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images
Article
Conference paper
HL-FCN: Hybrid loss guided FCN for colorectal cancer segmentation
Conference paper
Mtmr-net: Multi-task deep learning with margin ranking loss for lung nodule analysis
Conference paper
Conference paper
Conference paper
Conference paper
Conference paper
3D deeply supervised network for automated segmentation of volumetric medical images
Article
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
Article
Article
DCAN: Deep contour-aware networks for object instance segmentation from histology images
Article
Article
Article
Gland segmentation in colon histology images: The glas challenge contest
Article
Article
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection
Article
Article
Ultrasound Standard Plane Detection Using a Composite Neural Network Framework
Article
Article
Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images
Book chapter
AGNet: Attention-guided network for surgical tool presence detection
Conference paper
Conference paper
Automatic 3D cardiovascular MR segmentation with densely-connected volumetric convnets
Conference paper
Conference paper
Automatic Detection of Cerebral Microbleeds from MR Images via 3D Convolutional Neural Networks
Article
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes
Conference paper
3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation
Conference paper
Automated mitosis detection with deep regression networks
Conference paper
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
Conference paper
Deep Contextual Networks for Neuronal Structure Segmentation
Conference paper
Conference paper
Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks
Conference paper
Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation
Conference paper
Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks
Article
Conference paper
Automatic detection of cerebral microbleeds via deep learning based 3D feature representation
Conference paper
Conference paper
Conference paper
Square Localization for Efficient and Accurate Object Detection
Conference paper
A deep learning system for predicting time to progression of diabetic retinopathy
Automatic segmentation of fat metaplasia on sacroiliac joint MRI using deep learning
BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels
Deep contour attention learning for scleral deformation from OCT images
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions
Deep local-to-global feature learning for medical image super-resolution
Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images
Dual-stream multi-dependency graph neural network enables precise cancer survival analysis
Efficient Supervised Pretraining of Swin-transformer for Virtual Staining of Microscopy Images
Learning co-plane attention across MRI sequences for diagnosing twelve types of knee abnormalities
LENAS: Learning-Based Neural Architecture Search and Ensemble for 3-D Radiotherapy Dose Prediction
Reference-Based OCT Angiogram Super-Resolution With Learnable Texture Generation
Rethinking Self-Training for Semi-Supervised Landmark Detection: A Selection-Free Approach
Aligning Medical Images with General Knowledge from Large Language Models
Anatomy-Guided Fiber Trajectory Distribution Estimation for Cranial Nerves Tractography
Exploring Vision Language Pretraining with Knowledge Enhancement via Large Language Model
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification
Knowledge Injected Multimodal Irregular EHRs Model for Medical Prediction
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment
PromptMRG: Diagnosis-driven prompts for medical report generation
Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection
Target-Aware Knowledge Transfer for Whole Slide Image Classification
Deep Learning-assisted Diagnosis of Breast Lesions on US Images: A Multivendor, Multicenter Study
Real-Time Semantic Segmentation via a Densely Aggregated Bilateral Network
DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation
DoNet : Deep De-overlapping Network for Cytology Instance Segmentation
Few Shot Medical Image Segmentation with Cross Attention Transformer
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation
Scale Federated Learning for Label Set Mismatch in Medical Image Classification
Sparsely Annotated Semantic Segmentation with Adaptive Gaussian Mixtures
Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains
Unsupervised Domain Adaptation for Anatomical Landmark Detection
Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays
Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation
ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT Scans
Pseudo Bias-Balanced Learning for Debiased Chest X-Ray Classification
Sample Alignment for Image-to-Image Translation Based Medical Domain Adaptation
Deep mining external imperfect data for chest X-ray disease screening
Multi-Task Deep Model with Margin Ranking Loss for Lung Nodule Analysis
Multi-task recurrent convolutional network with correlation loss for surgical video analysis
Rectifying Supporting Regions with Mixed and Active Supervision for Rib Fracture Recognition
Towards a new generation of artificial intelligence in China
UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification
Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis
Automatic lesion detection with three-dimensional convolutional neural networks
Deep learning for automated contouring of primary tumor volumes by MRI for nasopharyngeal carcinoma
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification
SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection
Deep multilevel contextual networks for biomedical image segmentation
Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis
CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation
Deep angular embedding and feature correlation attention for breast MRI cancer analysis
IRNet: Instance relation network for overlapping cervical cell segmentation
Light-weight hybrid convolutional network for liver tumor segmentation
PRSNet: Part Relation and Selection Network for Bone Age Assessment
Robust learning at noisy labeled medical images: Applied to skin lesion classification
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
SV-RCNet: Workflow recognition from surgical videos using recurrent convolutional network
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images
3D deeply supervised network for automated segmentation of volumetric medical images
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
DCAN: Deep contour-aware networks for object instance segmentation from histology images
Gland segmentation in colon histology images: The glas challenge contest
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection
Ultrasound Standard Plane Detection Using a Composite Neural Network Framework
Automatic Detection of Cerebral Microbleeds from MR Images via 3D Convolutional Neural Networks
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes
3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
Deep Contextual Networks for Neuronal Structure Segmentation
Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks
Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation
Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks
Article
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Article
SV-RCNet: Workflow recognition from surgical videos using recurrent convolutional network
Article
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images
Article
Conference paper
HL-FCN: Hybrid loss guided FCN for colorectal cancer segmentation
Conference paper
Mtmr-net: Multi-task deep learning with margin ranking loss for lung nodule analysis
Conference paper
Conference paper
Conference paper
Conference paper
Conference paper
3D deeply supervised network for automated segmentation of volumetric medical images
Article
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
Article
Article
DCAN: Deep contour-aware networks for object instance segmentation from histology images
Article
Article
Article
Gland segmentation in colon histology images: The glas challenge contest
Article
Article
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection
Article
Article
Ultrasound Standard Plane Detection Using a Composite Neural Network Framework
Article
Article
Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images
Book chapter
AGNet: Attention-guided network for surgical tool presence detection
Conference paper
Conference paper
Automatic 3D cardiovascular MR segmentation with densely-connected volumetric convnets
Conference paper
Conference paper
Automatic Detection of Cerebral Microbleeds from MR Images via 3D Convolutional Neural Networks
Article
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes
Conference paper
3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation
Conference paper
Automated mitosis detection with deep regression networks
Conference paper
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
Conference paper
Deep Contextual Networks for Neuronal Structure Segmentation
Conference paper
Conference paper
Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks
Conference paper
Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation
Conference paper
Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks
Article
Conference paper
Automatic detection of cerebral microbleeds via deep learning based 3D feature representation
Conference paper
Conference paper
Conference paper
Square Localization for Efficient and Accurate Object Detection
Conference paper
COMP4421 | Image Processing |
COMP4971A | Independent Work |
COMP4971C | Independent Work |
COMP4981 | Final Year Project |
COMP6922C | Research Project |
UROP1100N | Undergraduate Research Opportunities Series 1 |
UROP2100N | Undergraduate Research Opportunities Series 2 |
UROP3100N | Undergraduate Research Opportunities Series 3 |
UROP4100N | Undergraduate Research Opportunities Series 4 |
COMP4971A | Independent Work |
COMP4981 | Final Year Project |
COMP6922C | Research Project |
UROP1000 | Undergraduate Research Opportunities |
UROP1100M | Undergraduate Research Opportunities Series 1 |
UROP3200 | Undergraduate Research Opportunities with Mini-conference Experience |
COMP4971A | Independent Work |
COMP4981 | Final Year Project |
COMP5423 | Deep Learning for Medical Image Analysis |
COMP6922C | Research Project |
CPEG4901 | Computer Engineering Final Year Project in COMP |
UROP1100L | Undergraduate Research Opportunities Series 1 |
UROP2100L | Undergraduate Research Opportunities Series 2 |
UROP3100L | Undergraduate Research Opportunities Series 3 |
COMP6922C | Research Project |
COMP4421 | Image Processing |
COMP4971A | Independent Work |
COMP4981 | Final Year Project |
COMP6922C | Research Project |
UROP1100K | Undergraduate Research Opportunities Series 1 |
UROP2100K | Undergraduate Research Opportunities Series 2 |
COMP4971A | Independent Work |
COMP4971E | Independent Work |
COMP4981 | Final Year Project |
COMP6922C | Research Project |
UROP1000 | Undergraduate Research Opportunities |
UROP1100J | Undergraduate Research Opportunities Series 1 |
UROP4100J | Undergraduate Research Opportunities Series 4 |
BAE, Juyoung
Computer Science and Engineering
CHAI, Zhizhong
Computer Science and Engineering
DAI, Ruyi
Computer Science and Engineering
NG, Ting Kwong
Computer Science and Engineering
BIE, Yequan
Computer Science and Engineering
CAI, Zhiyuan
Computer Science and Engineering
HE, Sunan
Computer Science and Engineering
NIE, Yuxiang
Computer Science and Engineering
RUAN, Yuyan
(co-supervision)
Bioengineering
WANG, Hongmei
Computer Science and Engineering
WANG, Minghao
(co-supervision)
Bioengineering
WANG, Yihui
Computer Science and Engineering
WU, Linshan
Computer Science and Engineering
YANG, Shu
Computer Science and Engineering
ZHANG, Weiwen
(co-supervision)
Computer Science and Engineering
CAI, Yu
(co-supervision)
Electronic and Computer Engineering
GUO, Zhengrui
Computer Science and Engineering
JIANG, Hao
Computer Science and Engineering
JIN, Cheng
Computer Science and Engineering
LI, Wenqiang
Computer Science and Engineering
MA, Jiabo
Computer Science and Engineering
QIU, Zelin
Computer Science and Engineering
TAN, Andong
Computer Science and Engineering
XU, Yingxue
Computer Science and Engineering
ZHENG, Xiaoyu
Computer Science and Engineering
ZHOU, Fengtao
Computer Science and Engineering
ZHUANG, Jiaxin
Computer Science and Engineering
CHE, Haoxuan
Computer Science and Engineering
JIN, Haibo
Computer Science and Engineering
LIN, Yi
Computer Science and Engineering
CHEN, Zhixuan
Computer Science and Engineering
SON, Moo Hyun
Computer Science and Engineering
WONG, Ho Kiu Cyrus
Computer Science and Engineering
XIN, Yi
Computer Science and Engineering
ZHAO, Chenyu
Computer Science and Engineering
Update your browser to view this website correctly. Update your browser now