2024
Dual Teacher Knowledge Distillation With Domain Alignment for Face Anti-Spoofing.
IEEE Trans. Circuits Syst. Video Technol., December, 2024
IDaTPA: importance degree based thread partitioning approach in thread level speculation.
Discov. Comput., December, 2024
Cross-Modal Vertical Federated Learning for MRI Reconstruction.
IEEE J. Biomed. Health Informatics, November, 2024
Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis.
Int. J. Comput. Vis., November, 2024
RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Adversarial Medical Image With Hierarchical Feature Hiding.
IEEE Trans. Medical Imaging, April, 2024
Anomaly detection via gating highway connection for retinal fundus images.
Pattern Recognit., April, 2024
Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training.
IEEE Trans. Medical Imaging, January, 2024
Relational Experience Replay: Continual Learning by Adaptively Tuning Task-Wise Relationship.
IEEE Trans. Multim., 2024
Improving vision transformer for medical image classification via token-wise perturbation.
J. Vis. Commun. Image Represent., 2024
Unraveling Complexity: An Exploration Into Large-Scale Multimodal Signal Processing.
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IEEE Intell. Syst., 2024
{S<sup>3</sup>-Mamba}: Small-Size-Sensitive Mamba for Lesion Segmentation.
CoRR, 2024
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation.
CoRR, 2024
Triplet-branch network with contrastive prior-knowledge embedding for disease grading.
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Artif. Intell. Medicine, 2024
Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Learning Spectral-Decomposited Tokens for Domain Generalized Semantic Segmentation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
A New Perspective to Boost Performance Fairness For Medical Federated Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Self-Supervised Cross-Level Consistency Learning For Fundus Image Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024
Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Learning Generalized Medical Image Segmentation from Decoupled Feature Queries.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A deep weakly semi-supervised framework for endoscopic lesion segmentation.
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Medical Image Anal., December, 2023
MIL-ViT: A multiple instance vision transformer for fundus image classification.
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J. Vis. Commun. Image Represent., December, 2023
Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training.
Medical Image Anal., October, 2023
Adversarial Learning of Object-Aware Activation Map for Weakly-Supervised Semantic Segmentation.
IEEE Trans. Circuits Syst. Video Technol., August, 2023
InDuDoNet+: A deep unfolding dual domain network for metal artifact reduction in CT images.
Medical Image Anal., April, 2023
Blind Super-Resolution of 3D MRI via Unsupervised Domain Transformation.
IEEE J. Biomed. Health Informatics, March, 2023
Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views.
CoRR, 2023
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction.
CoRR, 2023
Dynamically Masked Discriminator for Generative Adversarial Networks.
CoRR, 2023
Cross-Modal Vertical Federated Learning for MRI Reconstruction.
CoRR, 2023
VisorGPT: Learning Visual Prior via Generative Pre-Training.
CoRR, 2023
Open-World Weakly-Supervised Object Localization.
CoRR, 2023
Improving GAN Training via Feature Space Shrinkage.
CoRR, 2023
A New Perspective to Boost Vision Transformer for Medical Image Classification.
CoRR, 2023
Dynamically Masked Discriminator for GANs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Learning Visual Prior via Generative Pre-Training.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Semi-Supervised Convolutional Vision Transformer with Bi-Level Uncertainty Estimation for Medical Image Segmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Interactive Segmentation as Gaussian Process Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
AdaptiveMix: Improving GAN Training via Feature Space Shrinkage.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Combating Mode Collapse via Offline Manifold Entropy Estimation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reduction in CT Images.
IEEE Trans. Medical Imaging, 2022
Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation Using Information Bottleneck Constraint.
IEEE Trans. Medical Imaging, 2022
Mix-and-Interpolate: A Training Strategy to Deal With Source-Biased Medical Data.
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IEEE J. Biomed. Health Informatics, 2022
Cross-Domain Gated Learning for Domain Generalization.
Int. J. Comput. Vis., 2022
Decoupled Mixup for Generalized Visual Recognition.
CoRR, 2022
A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays.
CoRR, 2022
Combating Mode Collapse in GANs via Manifold Entropy Estimation.
CoRR, 2022
Robust Representation via Dynamic Feature Aggregation.
CoRR, 2022
DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection.
CoRR, 2022
Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images.
CoRR, 2022
Aggregative Self-supervised Feature Learning from Limited Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Orientation-Shared Convolution Representation for CT Metal Artifact Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Single Domain Generalization via Spontaneous Amplitude Spectrum Diversification.
Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022
Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Decoupled Mixup for Out-of-Distribution Visual Recognition.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features.
IEEE Trans. Medical Imaging, 2021
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge.
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NeuroImage, 2021
GRAND: A large-scale dataset and benchmark for cervical intraepithelial Neoplasia grading with fine-grained lesion description.
Medical Image Anal., 2021
Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship.
CoRR, 2021
InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images.
CoRR, 2021
Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint.
CoRR, 2021
Residual Moment Loss for Medical Image Segmentation.
CoRR, 2021
MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Deep Reinforcement Exemplar Learning for Annotation Refinement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
The Winner of Age Challenge: Going One Step Further From Keypoint Detection to Scleral Spur Localization.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Feature Library: A Benchmark for Cervical Lesion Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2021
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
Computer-Aided Cervical Cancer Diagnosis Using Time-Lapsed Colposcopic Images.
IEEE Trans. Medical Imaging, 2020
A Multi-Organ Nucleus Segmentation Challenge.
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IEEE Trans. Medical Imaging, 2020
Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.
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IEEE J. Biomed. Health Informatics, 2020
Rubik's Cube+: A self-supervised feature learning framework for 3D medical image analysis.
Medical Image Anal., 2020
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography.
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Medical Image Anal., 2020
Aggregative Self-Supervised Feature Learning.
CoRR, 2020
MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint.
CoRR, 2020
Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning.
CoRR, 2020
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography.
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CoRR, 2020
Instance-Aware Self-supervised Learning for Nuclei Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
MI<sup>2</sup>GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Revisiting Rubik's Cube: Self-supervised Learning with Volume-Wise Transformation for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network.
Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
A Multi-Task Self-Supervised Learning Framework for Scopy Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2020, 2020
Dual Adversarial Network for Deep Active Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020
Generative Adversarial Networks for Video-to-Video Domain Adaptation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images.
CoRR, 2019
HEp-Net: a smaller and better deep-learning network for HEp-2 cell classification.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019
Reverse active learning based atrous DenseNet for pathological image classification.
BMC Bioinform., 2019
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images.
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019
2018
Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network.
Sensors, 2018
Deep cross residual network for HEp-2 cell staining pattern classification.
Pattern Recognit., 2018
Open snake model based on global guidance field for embryo vessel location.
IET Comput. Vis., 2018
Reversed Active Learning based Atrous DenseNet for Pathological Image Classification.
CoRR, 2018
Active Learning for Breast Cancer Identification.
CoRR, 2018
cC-GAN: A Robust Transfer-Learning Framework for HEp-2 Specimen Image Segmentation.
IEEE Access, 2018
Robust Segmentation of Nucleus in Histopathology Images via Mask R-CNN.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Deep learning based gastric cancer identification.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
GT-Net: A Deep Learning Network for Gastric Tumor Diagnosis.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018
2017
HEp-2 Specimen Image Segmentation and Classification Using Very Deep Fully Convolutional Network.
IEEE Trans. Medical Imaging, 2017
Deep Learning Based Multimodal Brain Tumor Diagnosis.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
A Deep Residual Inception Network for HEp-2 Cell Classification.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017
Positive and negative HEp-2 image classification fusing global and local features.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017
2016
HEp-2 specimen classification with fully convolutional network.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
2015
Robust H-infinity Control for Stochastic Markovian Switching Systems Under Partly Known Transition Probabilities and Actuator Saturation via Anti-Windup Design.
Circuits Syst. Signal Process., 2015