Liansheng Wang

Orcid: 0000-0002-2096-454X

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
MCS-Stain: Boosting FFPE-to-HE Virtual Staining With Multiple Cell Semantics.
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

MorphoNet: Morphological sub-region-based structure learning for WSI analysis.
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
Efficient Medical Vision-Language Alignment Through Adapting Masked Vision Models.
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

Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-distillation.
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

Controllable Image Synthesis Workflow for Enhancing Cervical Cell Detection.
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
Learning Motion-Guided Multi-Scale Memory Features for Video Shadow Detection.
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

FedDP: Dual Personalization in Federated Medical Image Segmentation.
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

Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Data-Efficient Radiology Report Generation via Similar Report Features Enhancement.
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

ORCGT: Ollivier-Ricci Curvature-Based Graph Model for Lung STAS Prediction.
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

GAInS: Gradient Anomaly-aware Biomedical Instance Segmentation.
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
cgMSI: pathogen detection within species from nanopore metagenomic sequencing data.
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

XBound-Former: Toward Cross-Scale Boundary Modeling in Transformers.
IEEE Trans. Medical Imaging, June, 2023

MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification.
IEEE Trans. Medical Imaging, May, 2023

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition.
Medical Image Anal., May, 2023

Hybrid Graph Convolutional Network With Online Masked Autoencoder for Robust Multimodal Cancer Survival Prediction.
IEEE Trans. Medical Imaging, 2023

nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer.
IEEE Trans. Image Process., 2023

A Real-Time Network for Fast Breast Lesion Detection in Ultrasound Videos.
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

Medical Boundary Diffusion Model for Skin Lesion Segmentation.
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

Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos.
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

RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training.
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
GraVIS: Grouping Augmented Views From Independent Sources for Dermatology Analysis.
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

CT-Guided Survival Prediction of Esophageal Cancer.
IEEE J. Biomed. Health Informatics, 2022

Two-Stage Segmentation Framework Based on Distance Transformation.
Sensors, 2022

Deepfakes: A new threat to image fabrication in scientific publications?
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

Spatial-temporal Fusion Network for Fast Video Shadow Detection.
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

Lesion Guided Explainable Few Weak-Shot Medical Report Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

A New Dataset and a Baseline Model for Breast Lesion Detection in Ultrasound Videos.
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

UNet-2022: Exploring Dynamics in Non-isomorphic Architecture.
Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2022

Boundry-Aware Pyramid Transformer For Polyp Segmentation.
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

Personalizing Federated Medical Image Segmentation via Local Calibration.
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
Deep Sub-Region Network for Salient Object Detection.
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

LNDb challenge on automatic lung cancer patient management.
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

nnFormer: Interleaved Transformer for Volumetric Segmentation.
CoRR, 2021

The Medical Segmentation Decathlon.
CoRR, 2021

Snipe: highly sensitive pathogen detection from metagenomic sequencing data.
Briefings Bioinform., 2021

Boundary-Aware Transformers for Skin Lesion Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Cross-Domain Landmarks Detection in Mitral Regurgitation.
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

Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation.
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

Robust Medical Instrument Segmentation Challenge 2019.
CoRR, 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

Superpixel-Guided Label Softening for Medical Image Segmentation.
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
Accurate automated Cobb angles estimation using multi-view extrapolation net.
Medical Image Anal., 2019

RP-Net: A 3D Convolutional Neural Network for Brain Segmentation From Magnetic Resonance Imaging.
IEEE Access, 2019

Nested Dilation Network (NDN) for Multi-Task Medical Image Segmentation.
IEEE Access, 2019

An Automated and Accurate Spine Curve Analysis System.
IEEE Access, 2019

A Multi-task Learning Method for Direct Estimation of Spinal Curvature.
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

Utility Balanced Classification for Automatic Electronic Medical Record Analysis.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

An ADMM-net Solution to Inverse Problem of Electrocardiology.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

2017
Broken and degraded document images binarization.
Neurocomputing, 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

Volume calculation of CT lung lesions based on Halton low-discrepancy sequences.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Direct aneurysm volume estimation by multi-view semi-supervised manifold learning.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Prediction of lymphocytosis using machine learning algorithm based on checkup data.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

2016
Random projections and Single BoW for fast and Robust texture segmentation.
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
Application of L0-Norm Regularization to Epicardial Potential Reconstruction.
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
Structure-preserving multiscale vessel enhancing diffusion filter.
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


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