Yun Gu

Orcid: 0000-0002-4199-0675

According to our database1, Yun Gu authored at least 110 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
Towards Connectivity-Aware Pulmonary Airway Segmentation.
IEEE J. Biomed. Health Informatics, January, 2024

Efficient Domain Adaptation for Endoscopic Visual Odometry.
CoRR, 2024

RESTORE: Towards Feature Shift for Vision-Language Prompt Learning.
CoRR, 2024

2023
Multi-site, Multi-domain Airway Tree Modeling.
Medical Image Anal., December, 2023

KaryoNet: Chromosome Recognition With End-to-End Combinatorial Optimization Network.
IEEE Trans. Medical Imaging, October, 2023

Dive into the details of self-supervised learning for medical image analysis.
Medical Image Anal., October, 2023

Contrastive Adversarial Learning for Endomicroscopy Imaging Super-Resolution.
IEEE J. Biomed. Health Informatics, August, 2023

Deep anatomy learning for lung airway and artery-vein modeling with contrast-enhanced CT synthesis.
Int. J. Comput. Assist. Radiol. Surg., July, 2023

Bi-hemisphere asymmetric attention network: recognizing emotion from EEG signals based on the transformer.
Appl. Intell., June, 2023

A Domain Generative Graph Network for EEG-Based Emotion Recognition.
IEEE J. Biomed. Health Informatics, May, 2023

Fast cancer metastasis location based on dual magnification hard example mining network in whole-slide images.
Comput. Biol. Medicine, May, 2023

Towards Occlusion-Aware Pose Estimation of Surgical Suturing Threads.
IEEE Trans. Biomed. Eng., February, 2023

TNN: Tree Neural Network for Airway Anatomical Labeling.
IEEE Trans. Medical Imaging, 2023

Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT.
Medical Image Anal., 2023

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.
CoRR, 2023

PnPNet: Pull-and-Push Networks for Volumetric Segmentation with Boundary Confusion.
CoRR, 2023

Implicit Shape Modeling for Anatomical Structure Refinement of Volumetric Medical Images.
CoRR, 2023

Unleashing the Power of Depth and Pose Estimation Neural Networks by Designing Compatible Endoscopic Images.
CoRR, 2023

A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation.
CoRR, 2023

AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization.
CoRR, 2023

Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning.
CoRR, 2023

CDFI: Cross Domain Feature Interaction for Robust Bronchi Lumen Detection.
CoRR, 2023

STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training.
CoRR, 2023

Learning with Explicit Shape Priors for Medical Image Segmentation.
CoRR, 2023

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation.
CoRR, 2023

Learning for retinal image quality assessment with label regularization.
Comput. Methods Programs Biomed., 2023

CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TCL: Triplet Consistent Learning for Odometry Estimation of Monocular Endoscope.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Semantic Difference Guidance for the Uncertain Boundary Segmentation of CT Left Atrial Appendage.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Fdinet: Feature-Decomposition-Interaction Networks for Retinal Vessel Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

CDFI: Cross Domain Feature Interaction for Robust Bronchi Lumen Detection.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Variational Feature Disentanglement for Few-Shot Domain Adaptation.
Proceedings of the IEEE International Conference on Image Processing, 2023

FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Toward Robust Histology-Prior Embedding for Endomicroscopy Image Classification.
IEEE Trans. Medical Imaging, 2022

Vision-Kinematics Interaction for Robotic-Assisted Bronchoscopy Navigation.
IEEE Trans. Medical Imaging, 2022

Adaptive random down-sampling data augmentation and area attention pooling for low resolution face recognition.
Expert Syst. Appl., 2022

Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks.
CoRR, 2022

Differentiable Topology-Preserved Distance Transform for Pulmonary Airway Segmentation.
CoRR, 2022

Faithful learning with sure data for lung nodule diagnosis.
CoRR, 2022

Disparity-constrained stereo endoscopic image super-resolution.
Int. J. Comput. Assist. Radiol. Surg., 2022

LTSP: long-term slice propagation for accurate airway segmentation.
Int. J. Comput. Assist. Radiol. Surg., 2022

CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging.
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2022

A More Design-Flexible Medical Transformer for Volumetric Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

EG-Trans3DUNet: A Single-Staged Transformer-Based Model for Accurate Vertebrae Segmentation from Spinal Ct Images.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Cancer metastasis fast location based on coarse-to-fine network.
Proceedings of the Asia Conference on Algorithms, Computing and Machine Learning, 2022

2021
Deep Graph-Based Multimodal Feature Embedding for Endomicroscopy Image Retrieval.
IEEE Trans. Neural Networks Learn. Syst., 2021

Alleviating Class-Wise Gradient Imbalance for Pulmonary Airway Segmentation.
IEEE Trans. Medical Imaging, 2021

Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT.
IEEE Trans. Medical Imaging, 2021

Diversity-Aware Label Distribution Learning for Microscopy Auto Focusing.
IEEE Robotics Autom. Lett., 2021

Deep multi-task framework for optic disc and fovea detection.
J. Electronic Imaging, 2021

FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation.
CoRR, 2021

Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset.
CoRR, 2021

Refined Local-imbalance-based Weight for Airway Segmentation in CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Discriminative Asymmetric Learning for Efficient Surgical Instrument Parsing.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Hardmix: A Regularization Method to Mitigate the Large Shift in Few-Shot Domain Adaptation.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Semi-Supervised Skin Lesion Segmentation with Learning Model Confidence.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
A Dynamic and Collaborative Multi-Layer Virtual Network Embedding Algorithm in SDN Based on Reinforcement Learning.
IEEE Trans. Netw. Serv. Manag., 2020

Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention.
CoRR, 2020

Weakly Supervised Deep Learning for Breast Cancer Segmentation with Coarse Annotations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning with Sure Data for Nodule-Level Lung Cancer Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

AirwayNet-SE: A Simple-Yet-Effective Approach to Improve Airway Segmentation Using Context Scale Fusion.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Part-Boundary-Aware Networks for Surgical Instrument Parsing.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Transfer Recurrent Feature Learning for Endomicroscopy Image Recognition.
IEEE Trans. Medical Imaging, 2019

Densely-Connected Multi-Magnification Hashing for Histopathological Image Retrieval.
IEEE J. Biomed. Health Informatics, 2019

Reliable Label-Efficient Learning for Biomedical Image Recognition.
IEEE Trans. Biomed. Eng., 2019

Context-Aware Depth and Pose Estimation for Bronchoscopic Navigation.
IEEE Robotics Autom. Lett., 2019

Multi-level magnification correlation hashing for scalable histopathological image retrieval.
Neurocomputing, 2019

AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Triplet Feature Learning on Endoscopic Video Manifold for Online GastroIntestinal Image Retargeting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
SHISS: Supervised hashing with informative set selection.
Pattern Recognit. Lett., 2018

Unsupervised Video Hashing via Deep Neural Network.
Neural Process. Lett., 2018

Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Weakly Supervised Representation Learning for Endomicroscopy Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Cross-Scene Suture Thread Parsing for Robot Assisted Anastomosis based on Joint Feature Learning.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Multi-Stage Suture Detection for Robot Assisted Anastomosis Based on Deep Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Cross-Modal Saliency Correlation for Image Annotation.
Neural Process. Lett., 2017

Improving dense conditional random field for retinal vessel segmentation by discriminative feature learning and thin-vessel enhancement.
Comput. Methods Programs Biomed., 2017

Unsupervised Feature Learning for Endomicroscopy Image Retrieval.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Novel Delay-Dependent Stability Criteria for Fuzzy Neural Networks Using Delay-Decomposition Approach.
Circuits Syst. Signal Process., 2016

4D Cardiac Ultrasound Standard Plane Location by Spatial-Temporal Correlation.
CoRR, 2016

Supervised Recurrent Hashing for Large Scale Video Retrieval.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Unsupervised Video Hashing by Exploiting Spatio-Temporal Feature.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Congenital heart disease (CHD) discrimination in fetal echocardiogram based on 3D feature fusion.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Multi-view Multi-modal Feature Embedding for Endomicroscopy Mosaic Classification.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Adaptive Multi-Metric Fusion for Person Re-identification.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015
Image Annotation by Latent Community Detection and Multikernel Learning.
IEEE Trans. Image Process., 2015

The design of an electronic pedigree system for food safety.
Inf. Syst. Frontiers, 2015

Novel delay-dependent stability criteria for switched Hopfield neural networks of neutral type.
Neurocomputing, 2015

Data Driven Robust Image Guided Depth Map Restoration.
CoRR, 2015

Cross-Modality Hashing with Partial Correspondence.
CoRR, 2015

Adaptive Location for Multiple Salient Objects Detection.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

RGB-D saliency detection via mutual guided manifold ranking.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

NSLIC: SLIC superpixels based on nonstationarity measure.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Reranking of person re-identification by manifold-based approach.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Cross-modality hashing with partial correspondence.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Data driven quantitative trust model for the Internet of Agricultural Things.
Proceedings of the 4th International Conference on the Internet of Things, 2014

Shape Preserving RGB-D Depth Map Restoration.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Automatic Image Annotation Exploiting Textual and Visual Saliency.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
A novel method to detect bad data injection attack in smart grid.
Proceedings of the 2013 Proceedings IEEE INFOCOM Workshops, 2013

Bad data detection method for smart grids based on distributed state estimation.
Proceedings of IEEE International Conference on Communications, 2013

LCMKL: latent-community and multi-kernel learning based image annotation.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Using IoT Technologies to Resolve the Food Safety Problem - An Analysis Based on Chinese Food Standards.
Proceedings of the Web Information Systems and Mining - International Conference, 2012

2011
Poster: using quantified risk and benefit to strengthen the security of information sharing.
Proceedings of the 18th ACM Conference on Computer and Communications Security, 2011


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