Yanda Meng

Orcid: 0000-0001-7344-2174

According to our database1, Yanda Meng authored at least 32 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Self-Guided Adversarial Network for Domain Adaptive Retinal Layer Segmentation.
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

CathAction: A Benchmark for Endovascular Intervention Understanding.
CoRR, 2024

Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models.
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

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System.
CoRR, 2024

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System.
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

Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

The Impact of Reasoning Step Length on Large Language Models.
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
Transportation Object Counting With Graph-Based Adaptive Auxiliary Learning.
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
Graph-Based Region and Boundary Aggregation for Biomedical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

3D Dense Face Alignment with Fused Features by Aggregating CNNs and GCNs.
CoRR, 2022

Counting with Adaptive Auxiliary Learning.
CoRR, 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

Spatial Uncertainty-Aware Semi-Supervised Crowd Counting.
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

CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Regression of Instance Boundary by Aggregated CNN and GCN.
Proceedings of the Computer Vision - ECCV 2020, 2020


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