Cheng Bian

Orcid: 0000-0003-3498-8283

According to our database1, Cheng Bian authored at least 44 papers between 2017 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
MIL-ViT: A multiple instance vision transformer for fundus image classification.
J. Vis. Commun. Image Represent., December, 2023

GraphSKT: Graph-Guided Structured Knowledge Transfer for Domain Adaptive Lesion Detection.
IEEE Trans. Medical Imaging, February, 2023

Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling.
CoRR, 2023

SemanticRT: A Large-Scale Dataset and Method for Robust Semantic Segmentation in Multispectral Images.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

TW-GAN: Topology and width aware GAN for retinal artery/vein classification.
Medical Image Anal., 2022

Tell Me the Evidence? Dual Visual-Linguistic Interaction for Answer Grounding.
CoRR, 2022

REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment.
CoRR, 2022

ProCo: Prototype-Aware Contrastive Learning for Long-Tailed Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.
Medical Image Anal., 2021

A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework.
CoRR, 2021

MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

The Winner of Age Challenge: Going One Step Further From Keypoint Detection to Scleral Spur Localization.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework.
Proceedings of the Information Processing in Medical Imaging, 2021

Multi-Anchor Active Domain Adaptation for Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Self-co-attention neural network for anatomy segmentation in whole breast ultrasound.
Medical Image Anal., 2020

AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography.
Medical Image Anal., 2020

Uncertainty-aware domain alignment for anatomical structure segmentation.
Medical Image Anal., 2020

AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography.
CoRR, 2020

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.
CoRR, 2020

Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Ensembled ResUnet for Anatomical Brain Barriers Segmentation.
Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020

A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound.
IEEE Trans. Medical Imaging, 2019

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge.
Medical Image Anal., 2019

Identification of primary angle-closure on AS-OCT images with Convolutional Neural Networks.
CoRR, 2019

Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images.
CoRR, 2019

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.
CoRR, 2019

2018
Segmentation of breast anatomy for automated whole breast ultrasound images with boundary regularized convolutional encoder-decoder network.
Neurocomputing, 2018

Generalizing Deep Models for Ultrasound Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

2017
Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

3D Convolutional Networks for Fully Automatic Fine-Grained Whole Heart Partition.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

Class-Balanced Deep Neural Network for Automatic Ventricular Structure Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

Boundary Regularized Convolutional Neural Network for Layer Parsing of Breast Anatomy in Automated Whole Breast Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017


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