Yun Gu
Orcid: 0000-0002-0958-954X
According to our database1,
Yun Gu
authored at least 124 papers
between 2011 and 2024.
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Bibliography
2024
Accurate Airway Tree Segmentation in CT Scans via Anatomy-Aware Multi-Class Segmentation and Topology-Guided Iterative Learning.
IEEE Trans. Medical Imaging, December, 2024
IEEE J. Biomed. Health Informatics, January, 2024
Olfactory-Enhanced VR: What's the Difference in Brain Activation Compared to Traditional VR for Emotion Induction?
IEEE Trans. Affect. Comput., 2024
Affine Collaborative Normalization: A shortcut for adaptation in medical image analysis.
Pattern Recognit., 2024
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.
Medical Image Anal., 2024
Open-set adversarial domain match for electronic nose drift compensation and unknown gas recognition.
Expert Syst. Appl., 2024
Airway Labeling Meets Clinical Applications: Reflecting Topology Consistency and Outliers via Learnable Attentions.
CoRR, 2024
Topology-Aware Exploration of Circle of Willis for CTA and MRA: Segmentation, Detection, and Classification.
CoRR, 2024
From Real Artifacts to Virtual Reference: A Robust Framework for Translating Endoscopic Images.
CoRR, 2024
PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation.
CoRR, 2024
CoRR, 2024
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification.
CoRR, 2024
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models.
CoRR, 2024
SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae Segmentation.
CoRR, 2024
Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
2023
IEEE Trans. Medical Imaging, October, 2023
Medical Image Anal., October, 2023
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
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
IEEE Trans. Biomed. Eng., February, 2023
IEEE Trans. Medical Imaging, 2023
Medical Image Anal., 2023
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.
CoRR, 2023
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
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training.
CoRR, 2023
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation.
CoRR, 2023
Comput. Methods Programs Biomed., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
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
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Medical Imaging, 2022
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
Int. J. Comput. Assist. Radiol. Surg., 2022
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
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
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
Proceedings of the Asia Conference on Algorithms, Computing and Machine Learning, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Medical Imaging, 2021
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT.
IEEE Trans. Medical Imaging, 2021
IEEE Robotics Autom. Lett., 2021
J. Electronic Imaging, 2021
CoRR, 2021
Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset.
CoRR, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
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
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
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
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2019
IEEE Trans. Medical Imaging, 2019
IEEE J. Biomed. Health Informatics, 2019
IEEE Trans. Biomed. Eng., 2019
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
Pattern Recognit. 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
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
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
2017
Improving dense conditional random field for retinal vessel segmentation by discriminative feature learning and thin-vessel enhancement.
Comput. Methods Programs Biomed., 2017
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
CoRR, 2016
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016
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
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016
2015
IEEE Trans. Image Process., 2015
Inf. Syst. Frontiers, 2015
Novel delay-dependent stability criteria for switched Hopfield neural networks of neutral type.
Neurocomputing, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
2014
Proceedings of the 4th International Conference on the Internet of Things, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
2013
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013
Proceedings of IEEE International Conference on Communications, 2013
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