Lequan Yu
Orcid: 0000-0002-9315-6527
According to our database1,
Lequan Yu
authored at least 127 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE J. Biomed. Health Informatics, April, 2024
RECIST-Induced Reliable Learning: Geometry-Driven Label Propagation for Universal Lesion Segmentation.
IEEE Trans. Medical Imaging, January, 2024
Medical Image Anal., January, 2024
Self-Mining the Confident Prototypes for Source-Free Unsupervised Domain Adaptation in Image Segmentation.
IEEE Trans. Multim., 2024
IEEE Trans. Computational Imaging, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Shared-Specific Feature Learning With Bottleneck Fusion Transformer for Multi-Modal Whole Slide Image Analysis.
IEEE Trans. Medical Imaging, November, 2023
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023
ARR-GCN: Anatomy-Relation Reasoning Graph Convolutional Network for Automatic Fine-Grained Segmentation of Organ's Surgical Anatomy.
IEEE J. Biomed. Health Informatics, July, 2023
MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification.
IEEE Trans. Medical Imaging, May, 2023
IEEE Trans. Medical Imaging, May, 2023
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023
Domain-Incremental Cardiac Image Segmentation With Style-Oriented Replay and Domain-Sensitive Feature Whitening.
IEEE Trans. Medical Imaging, March, 2023
Hybrid Graph Convolutional Network With Online Masked Autoencoder for Robust Multimodal Cancer Survival Prediction.
IEEE Trans. Medical Imaging, 2023
IEEE Trans. Image Process., 2023
CoRR, 2023
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Cross-View Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-Ray Pair.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Consistency-Guided Meta-learning for Bootstrapping Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image Based Cancer Survival Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Transformer-Based Multimodal Fusion for Survival Prediction by Integrating Whole Slide Images, Clinical, and Genomic Data.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Robust Medical Image Classification From Noisy Labeled Data With Global and Local Representation Guided Co-Training.
IEEE Trans. Medical Imaging, 2022
Lymph Node Metastasis Prediction From Whole Slide Images With Transformer-Guided Multiinstance Learning and Knowledge Transfer.
IEEE Trans. Medical Imaging, 2022
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, 2022
Medical Image Anal., 2022
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references.
Medical Image Anal., 2022
Future Gener. Comput. Syst., 2022
Energy consumption intelligent modeling and prediction for additive manufacturing via multisource fusion and inter-layer consistency.
Comput. Ind. Eng., 2022
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Multi-task Learning-Driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Spatial-Hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
CD<sup>2</sup>-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation.
IEEE Trans. Medical Imaging, 2021
Dual-Teacher++: Exploiting Intra-Domain and Inter-Domain Knowledge With Reliable Transfer for Cardiac Segmentation.
IEEE Trans. Medical Imaging, 2021
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis.
IEEE Trans. Medical Imaging, 2021
CoRR, 2021
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation.
CoRR, 2021
DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation.
CoRR, 2021
Artif. Intell. Medicine, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model.
IEEE Trans. Medical Imaging, 2020
MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data.
IEEE Trans. Medical Imaging, 2020
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis.
IEEE Trans. Medical Imaging, 2020
CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading.
IEEE Trans. Medical Imaging, 2020
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.
Medical Image Anal., 2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-Efficient Cardiac Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Local and Global Structure-Aware Entropy Regularized Mean Teacher Model for 3D Left Atrium Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
IEEE Trans. Medical Imaging, 2019
Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation.
IEEE Trans. Medical Imaging, 2019
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification.
Medical Image Anal., 2019
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation.
CoRR, 2019
Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation.
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
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019
Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
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
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images.
Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model.
Proceedings of the British Machine Vision Conference 2018, 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
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection.
IEEE Trans. Biomed. Eng., 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
3D U-net with Multi-level Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR Images.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 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 Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 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
Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound 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
CoRR, 2016
Proceedings of the Reconstruction, Segmentation, and Analysis of Medical Images, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Automatic detection of cerebral microbleeds via deep learning based 3D feature representation.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 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