Yanda Meng
Orcid: 0000-0001-7344-2174
According to our database1,
Yanda Meng authored at least 60 papers
between 2020 and 2026.
Collaborative distances:
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Bibliography
2026
Dual-Kernel Adapter: Expanding Spatial Horizons for Data-Constrained Medical Image Analysis.
CoRR, February, 2026
StealthMark: Harmless and Stealthy Ownership Verification for Medical Segmentation via Uncertainty-Guided Backdoors.
IEEE Trans. Image Process., 2026
Pattern Recognit., 2026
DFuse-Net: Disentangled feature fusion with uncertainty-aware learning for reliable multi-modal brain tumor segmentation.
Medical Image Anal., 2026
Artifact-suppressed 3D retinal microvascular segmentation via multi-scale topology regulation.
Medical Image Anal., 2026
A hierarchical teacher-student learning framework with adaptive cross-modal fusion for brain tumor segmentation.
Expert Syst. Appl., 2026
2025
Excavate the potential of Single-Scale Features: A Decomposition Network for Water-Related Optical Image Enhancement.
CoRR, August, 2025
A Clinician-Friendly Platform for Ophthalmic Image Analysis Without Technical Barriers.
CoRR, April, 2025
IEEE Trans. Medical Imaging, March, 2025
$\text{MR}^{2}$-Net: Retinal OCTA Image Stitching via Multi-Scale Representation Learning and Dynamic Location Guidance.
IEEE J. Biomed. Health Informatics, January, 2025
Self-adaptive vision-language model for 3D segmentation of pulmonary artery and vein.
CoRR, January, 2025
Excavate the Potential of Single-Scale Features: A Decomposition Network for Water-Related Optical Image Enhancement.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Parameterized Diffusion Optimization Enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport.
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Uncertainty-Aware Multimodal Fusion for Reliable Fundus Disease Classification Using a Vision-Language Foundation Model.
Proceedings of the Ophthalmic Medical Image Analysis - 12th International Workshop, 2025
UncEGA-Net: Uncertainty-Guided Edge Attention for Optic Nerve Segmentation in Ultrasound Images.
Proceedings of the Ophthalmic Medical Image Analysis - 12th International Workshop, 2025
Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-Based Glaucoma Forecasting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
DFuse-Net: Disentangled Multi-Modal Fusion Via Contrastive and Consistency-Aware Learning for Reliable Brain Tumor Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Dynamic Semantic-Based Spatial-Temporal Graph Convolution Network for Skeleton-Based Human Action Recognition.
IEEE Trans. Image Process., 2024
IEEE Trans. Instrum. Meas., 2024
Multi-granularity learning of explicit geometric constraint and contrast for label-efficient medical image segmentation and differentiable clinical function assessment.
Medical Image Anal., 2024
CoRR, 2024
Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases.
CoRR, 2024
Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?
CoRR, 2024
CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-Aware Prompting.
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
Clinical Insight-Augmented Multi-View Learning for Alzheimer's Detection in Retinal OCTA Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Intell. Transp. Syst., March, 2023
Dual Consistency Enabled Weakly and Semi-Supervised Optic Disc and Cup Segmentation With Dual Adaptive Graph Convolutional Networks.
IEEE Trans. Medical Imaging, February, 2023
3D Human Pose and Shape Reconstruction From Videos via Confidence-Aware Temporal Feature Aggregation.
IEEE Trans. Multim., 2023
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning.
Medical Image Anal., 2023
Weakly/Semi-supervised Left Ventricle Segmentation in 2D Echocardiography with Uncertain Region-Aware Contrastive Learning.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Medical Imaging, 2022
Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-Focused nnU-Net.
Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022
Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
A regularization term for slide correlation reduction in whole slide image analysis with deep learning.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
TransBridge: A Lightweight Transformer for Left Ventricle Segmentation in Echocardiography.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021
Learning Unsupervised Parameter-Specific Affine Transformation for Medical Images Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
Introducing the GEV Activation Function for Highly Unbalanced Data to Develop COVID-19 Diagnostic Models.
IEEE J. Biomed. Health Informatics, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020