Liansheng Wang
Orcid: 0000-0002-2096-454XAffiliations:
- Xiamen University, Department of Computer Science, School of Informatics, China
- Chinese University of Hong Kong, Hong Kong (PhD 2012)
According to our database1,
Liansheng Wang authored at least 145 papers
between 2008 and 2026.
Collaborative distances:
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Bibliography
2026
IEEE Trans. Medical Imaging, April, 2026
A multi-center analysis of deep learning methods for video polyp detection and segmentation.
CoRR, March, 2026
M2OTCA: Multiple-magnification optimal transport-based cross-attention learning for whole slide image classification.
Medical Image Anal., 2026
Medical Image Anal., 2026
Libra-MIL: Multimodal Prototypes Stereoscopic Infused with Task-specific Language Priors for Few-shot Whole Slide Image Classification.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
FDP: A Frequency-Decomposition Preprocessing Pipeline for Unsupervised Anomaly Detection in Brain MRI.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
IEEE Trans. Medical Imaging, November, 2025
Multi-task and multi-scale attention network for lymph node metastasis prediction in esophageal cancer.
Medical Biol. Eng. Comput., November, 2025
Instance-Aware Robust Consistency Regularization for Semi-Supervised Nuclei Instance Segmentation.
CoRR, October, 2025
TAD-Graph: Enhancing Whole Slide Image Analysis via Task-Aware Subgraph Disentanglement.
IEEE Trans. Medical Imaging, June, 2025
Modality-Aware Distillation Network for Microvascular Invasion Prediction of Hepatocellar Carcinoma From MRI Images.
IEEE Trans. Biomed. Eng., June, 2025
Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation.
IEEE Trans. Medical Imaging, April, 2025
Tackling Modality-Heterogeneous Client Drift Holistically for Heterogeneous Multimodal Federated Learning.
IEEE Trans. Medical Imaging, April, 2025
Unveiling Institution-Specific Bias in Pathology Foundation Models: Detriments, Causes, and Potential Solutions.
CoRR, February, 2025
Federated Self-supervised Domain Generalization for Label-efficient Polyp Segmentation.
CoRR, February, 2025
GastritisMIL: An interpretable deep learning model for the comprehensive histological assessment of chronic gastritis.
Patterns, 2025
DDKG: A Dual Domain Knowledge Guidance strategy for localization and diagnosis of non-displaced femoral neck fractures.
Medical Image Anal., 2025
Federated modality-specific encoders and partially personalized fusion decoder for multimodal brain tumor segmentation.
Medical Image Anal., 2025
Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Bridging Knowledge Discrepancy in Retinal Image Analysis Through Federated Multi-task Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
A Staining Variability-Aware Semi-supervised Framework for H&E-to-IHC Virtual Staining.
Proceedings of the Efficient Medical Artificial Intelligence, 2025
Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Multi-stage Multi-resolution Fusion for Accurate and Efficient Whole Slide Image Segmentation in Colorectal Cancer.
Proceedings of the Applications of Medical Artificial Intelligence, 2025
MVMIL: Multi-view Multiple Instance Learning for Whole Slide Image Classification of Bladder Cancer.
Proceedings of the Applications of Medical Artificial Intelligence, 2025
Enhancing Soft Tissue Sarcoma Classification by Mitigating Patient-Specific Bias in Whole Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Tumor Microenvironment-Guided Fine-Tuning of Pathology Foundation Models for Esophageal Squamous Cell Carcinoma Immunotherapy Response Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
DSFC: Deformation-Aware Learning Strategy via Self-sustaining Feedback Cycle for Medical Vision Foundation Model Domain Adaptation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
A Uniform Multi-mode Fused Framework for Velocity Field Estimation in Ultrasound Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Structure Observation Driven Image-Text Contrastive Learning for Computed Tomography Report Generation.
Proceedings of the Information Processing in Medical Imaging, 2025
C<sup>2</sup> MIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning for Robust and Interpretable Survival Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
IEEE Trans. Circuits Syst. Video Technol., December, 2024
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection.
Int. J. Comput. Vis., November, 2024
Model-Heterogeneous Semi-Supervised Federated Learning for Medical Image Segmentation.
IEEE Trans. Medical Imaging, May, 2024
RECIST-Induced Reliable Learning: Geometry-Driven Label Propagation for Universal Lesion Segmentation.
IEEE Trans. Medical Imaging, January, 2024
IEEE Trans. Medical Imaging, January, 2024
Simultaneous alignment and surface regression using hybrid 2D-3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations.
Medical Image Anal., January, 2024
Hybrid unsupervised representation learning and pseudo-label supervised self-distillation for rare disease imaging phenotype classification with dispersion-aware imbalance correction.
Medical Image Anal., 2024
Dynamic Entity-Masked Graph Diffusion Model for histopathological image Representation Learning.
CoRR, 2024
SMILE-UHURA Challenge - Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms.
CoRR, 2024
Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting in Serial Federated Learning.
CoRR, 2024
Identification of senescence related hub genes and potential therapeutic compounds for dilated cardiomyopathy via comprehensive transcriptome analysis.
Comput. Biol. Medicine, 2024
Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Applications of Medical Artificial Intelligence, 2024
Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-Modal Context Interaction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Shifted-Rectangle-Window Based Transformer for non-Displaced Femoral Neck Fracture Diagnosis.
Proceedings of the IEEE International Conference on Acoustics, 2024
Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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
Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
BMC Bioinform., December, 2023
Shared-Specific Feature Learning With Bottleneck Fusion Transformer for Multi-Modal Whole Slide Image Analysis.
IEEE Trans. Medical Imaging, November, 2023
Dual Multiscale Mean Teacher Network for Semi-Supervised Infection Segmentation in Chest CT Volume for COVID-19.
IEEE Trans. Cybern., October, 2023
IEEE Trans. Medical Imaging, June, 2023
MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification.
IEEE Trans. Medical Imaging, May, 2023
Medical Image Anal., May, 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
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 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
A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images.
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
Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray.
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
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 20th IEEE International Symposium on Biomedical Imaging, 2023
G2LL: Global-To-Local Self-Supervised Learning for Label-Efficient Transformer-Based Skin Lesion Segmentation in Dermoscopy Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
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
IEEE J. Biomed. Health Informatics, 2022
Patterns, 2022
Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network.
Medical Image Anal., 2022
MASS: Modality-collaborative semi-supervised segmentation by exploiting cross-modal consistency from unpaired CT and MRI images.
Medical Image Anal., 2022
CoCycleReg: Collaborative cycle-consistency method for multi-modal medical image registration.
Neurocomputing, 2022
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19.
CoRR, 2022
Proceedings of the 18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, 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
SETMIL: Spatial Encoding Transformer-Based Multiple Instance Learning for Pathological Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Clustering-Based Multi-instance Learning Network for Whole Slide 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 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
Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2022
Proceedings of the 4th International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2022) co-located with the 19th IEEE International Symposium on Biomedical Imaging (ISBI 2022), 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 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
IEEE Trans. Circuits Syst. Video Technol., 2021
Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge.
Medical Image Anal., 2021
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge.
Medical Image Anal., 2021
Medical Image Anal., 2021
Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis.
Medical Image Anal., 2021
Early neoplasia identification in Barrett's esophagus via attentive hierarchical aggregation and self-distillation.
Medical Image Anal., 2021
Briefings Bioinform., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
Efficient Global-Local Memory for Real-Time Instrument Segmentation of Robotic Surgical Video.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification.
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
DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Strongly Supervised Mitosis Detection In Breast Histopathology Images Using Weak Labels.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network.
IEEE Trans. Medical Imaging, 2020
A novel approach combined transfer learning and deep learning to predict TMB from histology image.
Pattern Recognit. Lett., 2020
A Second-Order Subregion Pooling Network for Breast Lesion Segmentation in Ultrasound.
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
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Direct Prediction of BRAFV600E Mutation from Histopathological Images in Papillary Thyroid Carcinoma with a Deep Learning Workflow.
Proceedings of the CSAI 2020: 2020 4th International Conference on Computer Science and Artificial Intelligence, 2020
2019
Medical Image Anal., 2019
RP-Net: A 3D Convolutional Neural Network for Brain Segmentation From Magnetic Resonance Imaging.
IEEE Access, 2019
IEEE Access, 2019
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019
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
Proceedings of the 5th International Conference on Systems and Informatics, 2018
Proceedings of the 5th International Conference on Systems and Informatics, 2018
2017
ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images.
CoRR, 2017
A segmentation and classification scheme for single tooth in MicroCT images based on 3D level set and k-means++.
Comput. Medical Imaging Graph., 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 4th International Conference on Systems and Informatics, 2017
2016
Inf. Sci., 2016
Structure Fusion for Automatic Segmentation of Left Atrial Aneurysm Based on Deep Residual Networks.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
2014
Noninvasive Electrocardiographic Imaging of Cardiac Arrhythmias: Enhance the Diagnosis of Bundle Branch Block.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2014
A 3D Segmentation and Visualization Scheme for Solid and Non-solid Lung Lesions Based on Gaussian Filtering Regularized Level Set.
Proceedings of the 2nd International Conference on 3D Vision, 2014
2010
Proceedings of the International Conference on Image Processing, 2010
2008
Estimation of the Current Density in a Dynamic Heart Model and Visualization of Its Propagation.
Proceedings of the Medical Imaging and Augmented Reality, 4th International Workshop, 2008