Y. Meng

发表

Development and External Validation of a 1 Mixed-Effects Deep Learning Model to 2 Diagnose COVID-19 from CT Imaging 3

T. FitzMaurice, C. McCann, J. Bridge, 2022 .

Artificial Intelligence and Corneal Confocal Microscopy: The Start of a Beautiful Relationship

Yalin Zheng, D. Cuthbertson, R. Malik, 2022, Journal of clinical medicine.

Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning

Yitian Zhao, Yalin Zheng, T. FitzMaurice, 2022, Medical Image Analysis.

Graph-Based Region and Boundary Aggregation for Biomedical Image Segmentation

Yitian Zhao, Ian J. C. MacCormick, Yalin Zheng, 2021, IEEE Transactions on Medical Imaging.

Informed Consent In Facial Photograph Publishing: A Cross-sectional Pilot Study To Determine The Effectiveness Of Deidentification Methods

Yalin Zheng, J. Hsuan, Austin G McCormick, 2022, Journal of empirical research on human research ethics : JERHRE.

Artificial Intelligence Based Analysis of Corneal Confocal Microscopy Images for Diagnosing Peripheral Neuropathy: A Binary Classification Model

I. Petropoulos, U. Alam, S. Azmi, 2023, Journal of clinical medicine.

TransBridge: A Lightweight Transformer for Left Ventricle Segmentation in Echocardiography

Yitian Zhao, Joshua Bridge, Gregory Y. H. Lip, 2021, ASMUS@MICCAI.

Spatial Uncertainty-Aware Semi-Supervised Crowd Counting pdf

Yalin Zheng, Yitian Zhao, Xiaoyun Yang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Retinal imaging technologies in cerebral malaria: a systematic review

Yalin Zheng, K. Seydel, N. Beare, 2023, Malaria Journal.

DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification

Yitian Zhao, Yalin Zheng, S. Coupland, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

3D Dense Face Alignment with Fused Features by Aggregating CNNs and GCNs

Yitian Zhao, Yalin Zheng, Dongxu Gao, 2022, ArXiv.

Transportation Object Counting With Graph-Based Adaptive Auxiliary Learning

Yitian Zhao, Xiaoyun Yang, J. Bridge, 2023, IEEE Transactions on Intelligent Transportation Systems.

Counting with Adaptive Auxiliary Learning

Yitian Zhao, Yalin Zheng, Xiaoyun Yang, 2022, arXiv.org.

Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency

Yitian Zhao, Yalin Zheng, T. Peto, 2022, MICCAI.

Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-focused nnU-Net

Y. Meng, Yalin Zheng, Yuchen Zhang, 2023, LAScarQS@MICCAI.

Artificial intelligence utilising corneal confocal microscopy for the diagnosis of peripheral neuropathy in diabetes mellitus and prediabetes

Yalin Zheng, R. Malik, I. Petropoulos, 2021, Diabetologia.

Development and External Validation of a Mixed-Effects Deep Learning Model to Diagnose COVID-19 from CT Imaging

Wenjie Zhu, C. McCann, Y. Zhao, 2022, medRxiv.

Deep Learning Using Preoperative AS-OCT Predicts Graft Detachment in DMEK

Mohit Parekh, F. Semeraro, Giulia Coco, 2023, Translational vision science & technology.

Dual Consistency Enabled Weakly and Semi-Supervised Optic Disc and Cup Segmentation With Dual Adaptive Graph Convolutional Networks

Yitian Zhao, Yalin Zheng, T. Peto, 2022, IEEE Transactions on Medical Imaging.

BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation pdf

Yitian Zhao, Xiaoyun Yang, Hongrun Zhang, 2021, BMVC.

CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image Segmentation

Yalin Zheng, Xiaowei Huang, Yitian Zhao, 2020, MICCAI.

Regression of Instance Boundary by Aggregated CNN and GCN

Wei Meng, Xiaowei Huang, Yanda Meng, 2020, ECCV.

Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model

Yalin Zheng, Ke-long Chen, Abhik Mukherjee, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

3D Human Pose and Shape Reconstruction from Videos via Confidence-Aware Temporal Feature Aggregation

Yitian Zhao, Yalin Zheng, Xiaoyun Yang, 2022, IEEE transactions on multimedia.

Learning Unsupervised Parameter-Specific Affine Transformation for Medical Images Registration

Yitian Zhao, Srinivasa R. Vallabhaneni, Yalin Zheng, 2021, MICCAI.

Introducing the GEV Activation Function for Highly Unbalanced Data to Develop COVID-19 Diagnostic Models

Yitian Zhao, Yanda Meng, Yalin Zheng, 2020, IEEE Journal of Biomedical and Health Informatics.

Multi-granularity learning of explicit geometric constraint and contrast for label-efficient medical image segmentation and differentiable clinical function assessment.

Jianyang Xie, Yitian Zhao, S. Madhusudhan, 2024, Medical Image Analysis.