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2020 – today
- 2025
[j45]Rui Wang
, Yun Gu, Jie Yang:
Enhancing whole slide image classification through label denoising in a multi-instance learning framework. Biomed. Signal Process. Control. 105: 107599 (2025)- [j44]Ziyan Huang, Zhongying Deng, Jin Ye, Haoyu Wang, Yanzhou Su, Tianbin Li, Hui Sun, Junlong Cheng, Jianpin Chen, Junjun He, Yun Gu, Shaoting Zhang, Lixu Gu, Yu Qiao:
A-Eval: A benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmentation. Medical Image Anal. 101: 103499 (2025) - [j43]Xin You, Junjun He, Jie Yang, Yun Gu:
Learning With Explicit Shape Priors for Medical Image Segmentation. IEEE Trans. Medical Imaging 44(2): 927-940 (2025) - [i42]Muhammad Imran, Jonathan R. Krebs, Vishal Balaji Sivaraman, Teng Zhang, Amarjeet Kumar, Walker R. Ueland, Michael J. Fassler, Jinlong Huang, Xiao Sun, Lisheng Wang, Pengcheng Shi, Maximilian Rokuss, Michael Baumgartner, Yannick Kirchhoff, Klaus H. Maier-Hein, Fabian Isensee, Shuolin Liu, Bing Han, Bong Thanh Nguyen, Dong-jin Shin, Park Ji-Woo, Mathew Choi, Kwang-Hyun Uhm, Sung-Jea Ko, Chanwoong Lee, Jaehee Chun, Jin Sung Kim, Minghui Zhang, Hanxiao Zhang, Xin You, Yun Gu, Zhaohong Pan, Xuan Liu, Xiaokun Liang, Markus Tiefenthaler, Enrique Almar-Munoz, Matthias Schwab, Mikhail Kotyushev, Rostislav Epifanov, Marek Wodzinski, Henning Müller, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Zhiwei Wang, Kaixiang Yang, Jintao Ren, Stine Sofia Korreman, Yuchong Gao, Hongye Zeng, Haoyu Zheng, Rui Zheng, Jinghua Yue, Fugen Zhou, Bo Liu, Alexander Cosman, Muxuan Liang, Chang Zhao, Gilbert R. Upchurch Jr., Jun Ma, Yuyin Zhou, Michol A. Cooper, Wei Shao:
Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge. CoRR abs/2502.05330 (2025) - 2024
- [j42]Youbin Yao, Bin Chen, Chuanjun Liu, Changhao Feng, Xuliang Gao, Yun Gu:
Open-set adversarial domain match for electronic nose drift compensation and unknown gas recognition. Expert Syst. Appl. 250: 123757 (2024) - [j41]Yang Nan, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N. Felder, Sheng Zhang, Roberta Eufrasia Ledda, Xiaoliu Ding, Ruiqi Yu, Weiping Liu, Feng Shi, Tianyang Sun, Zehong Cao, Minghui Zhang, Yun Gu, Hanxiao Zhang, Jian Gao, Pingyu Wang, Wen Tang, Pengxin Yu, Han Kang, Junqiang Chen, Xing Lu, Boyu Zhang, Michail Mamalakis, Francesco Prinzi, Gianluca Carlini, Lisa Cuneo, Abhirup Banerjee, Zhaohu Xing, Lei Zhu, Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Hongyu Yuan, Qing Lyu, Abdul Qayyum, Moona Mazher, Athol Wells, Simon L. F. Walsh, Guang Yang:
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. Medical Image Anal. 97: 103253 (2024) - [j40]Chuyan Zhang, Yuncheng Yang, Hao Zheng, Yawen Huang, Yefeng Zheng, Yun Gu:
Affine Collaborative Normalization: A shortcut for adaptation in medical image analysis. Pattern Recognit. 153: 110528 (2024) - [j39]Xinyue Zhong, Wanqing Liu, Jialan Xie, Yun Gu, Guangyuan Liu:
Olfactory-Enhanced VR: What's the Difference in Brain Activation Compared to Traditional VR for Emotion Induction? IEEE Trans. Affect. Comput. 15(3): 1331-1342 (2024) - [j38]Minghui Zhang, Yun Gu:
Towards Connectivity-Aware Pulmonary Airway Segmentation. IEEE J. Biomed. Health Informatics 28(1): 321-332 (2024) - [j37]Puyang Wang, Dazhou Guo, Dandan Zheng, Minghui Zhang, Haogang Yu, Xin Sun, Jia Ge, Yun Gu, Le Lu, Xianghua Ye, Dakai Jin:
Accurate Airway Tree Segmentation in CT Scans via Anatomy-Aware Multi-Class Segmentation and Topology-Guided Iterative Learning. IEEE Trans. Medical Imaging 43(12): 4294-4306 (2024) - [c56]Wen Li, Yun Gu, Shouguo Du:
TF-CL: Time Series Forcasting Based on Time-Frequency Domain Contrastive Learning. ICANN (6) 2024: 312-327 - [c55]Hanxiao Zhang, Minghui Zhang, Xin You, Yun Gu, Guang-Zhong Yang:
Computing Assessment for Liver Fibrosis Staging Using Real-World MR Images. CARE@MICCAI 2024: 87-95 - [c54]Fangqiang Xu, Wenxuan Tu, Fan Feng, Malitha Gunawardhana, Jiayuan Yang, Yun Gu, Jichao Zhao:
Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation. MICCAI (8) 2024: 209-219 - [c53]Minghui Zhang, Hanxiao Zhang, Xin You, Guang-Zhong Yang, Yun Gu:
Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures. MICCAI (1) 2024: 546-556 - [i41]Yuncheng Yang, Chuyan Zhang, Zuopeng Yang, Yuting Gao, Yulei Qin, Ke Li, Xing Sun, Jie Yang, Yun Gu:
RESTORE: Towards Feature Shift for Vision-Language Prompt Learning. CoRR abs/2403.06136 (2024) - [i40]Junyang Wu, Yun Gu, Guang-Zhong Yang:
Efficient Domain Adaptation for Endoscopic Visual Odometry. CoRR abs/2403.10860 (2024) - [i39]Fangqiang Xu, Wenxuan Tu, Fan Feng, Malitha Gunawardhana, Jiayuan Yang, Yun Gu, Jichao Zhao:
Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation. CoRR abs/2407.05505 (2024) - [i38]Xin You, Yixin Lou, Minghui Zhang, Chuyan Zhang, Jie Yang, Yun Gu:
SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae Segmentation. CoRR abs/2407.08555 (2024) - [i37]Yulei Qin, Yuncheng Yang, Pengcheng Guo, Gang Li, Hang Shao, Yuchen Shi, Zihan Xu, Yun Gu, Ke Li, Xing Sun:
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models. CoRR abs/2408.02085 (2024) - [i36]Reuben Dorent, Roya Khajavi, Tagwa Idris, Erik Ziegler, Bhanusupriya Somarouthu, Heather Jacene, Ann S. LaCasce, Jonathan Deissler, Jan Ehrhardt, Sofija Engelson, Stefan M. Fischer, Yun Gu, Heinz Handels, Satoshi Kasai, Satoshi Kondo, Klaus H. Maier-Hein, Julia A. Schnabel, Guotai Wang, Litingyu Wang, Tassilo Wald, Guang-Zhong Yang, Hanxiao Zhang, Minghui Zhang, Steven D. Pieper, Gordon J. Harris, Ron Kikinis, Tina Kapur:
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification. CoRR abs/2408.10069 (2024) - [i35]Yuncheng Yang, Yulei Qin, Tong Wu, Zihan Xu, Gang Li, Pengcheng Guo, Hang Shao, Yucheng Shi, Ke Li, Xing Sun, Jie Yang, Yun Gu:
Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models. CoRR abs/2408.15915 (2024) - [i34]Chuyan Zhang, Hao Zheng, Xin You, Yefeng Zheng, Yun Gu:
PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation. CoRR abs/2410.01573 (2024) - [i33]Junyang Wu, Fangfang Xie, Jiayuan Sun, Yun Gu, Guang-Zhong Yang:
From Real Artifacts to Virtual Reference: A Robust Framework for Translating Endoscopic Images. CoRR abs/2410.13896 (2024) - [i32]Minghui Zhang, Xin You, Hanxiao Zhang, Yun Gu:
Topology-Aware Exploration of Circle of Willis for CTA and MRA: Segmentation, Detection, and Classification. CoRR abs/2410.15614 (2024) - [i31]Chenyu Li, Minghui Zhang, Chuyan Zhang, Yun Gu:
Airway Labeling Meets Clinical Applications: Reflecting Topology Consistency and Outliers via Learnable Attentions. CoRR abs/2410.23854 (2024) - [i30]Minghui Zhang, Chenyu Li, Hanxiao Zhang, Yaoyu Liu, Yun Gu:
A Digitalized Atlas for Pulmonary Airway. CoRR abs/2412.11039 (2024) - 2023
- [j36]Xinyue Zhong, Yun Gu, Yutong Luo, Xiaomei Zeng, Guangyuan Liu:
Bi-hemisphere asymmetric attention network: recognizing emotion from EEG signals based on the transformer. Appl. Intell. 53(12): 15278-15294 (2023) - [j35]Hanxiao Zhang, Minghui Zhang, Yun Gu, Guang Yang:
Deep anatomy learning for lung airway and artery-vein modeling with contrast-enhanced CT synthesis. Int. J. Comput. Assist. Radiol. Surg. 18(7): 1287-1294 (2023) - [j34]Rui Wang, Yun Gu, Tianyi Zhang, Jie Yang:
Fast cancer metastasis location based on dual magnification hard example mining network in whole-slide images. Comput. Biol. Medicine 158: 106880 (2023) - [j33]Tianjiao Guo, Ziyun Liang, Yun Gu, Kun Liu, Xun Xu, Jie Yang, Qi Yu:
Learning for retinal image quality assessment with label regularization. Comput. Methods Programs Biomed. 228: 107238 (2023) - [j32]Hanxiao Zhang, Liang Chen, Xiao Gu, Minghui Zhang, Yulei Qin, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang:
Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT. Medical Image Anal. 83: 102627 (2023) - [j31]Chuyan Zhang, Hao Zheng, Yun Gu:
Dive into the details of self-supervised learning for medical image analysis. Medical Image Anal. 89: 102879 (2023) - [j30]Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lu, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu:
Multi-site, Multi-domain Airway Tree Modeling. Medical Image Anal. 90: 102957 (2023) - [j29]Yun Gu, Jie Yang, Guang-Zhong Yang:
Towards Occlusion-Aware Pose Estimation of Surgical Suturing Threads. IEEE Trans. Biomed. Eng. 70(2): 581-591 (2023) - [j28]Yun Gu, Xinyue Zhong, Cheng Qu, Chuanjun Liu, Bin Chen:
A Domain Generative Graph Network for EEG-Based Emotion Recognition. IEEE J. Biomed. Health Informatics 27(5): 2377-2386 (2023) - [j27]Chuyan Zhang, Yun Gu, Guang-Zhong Yang:
Contrastive Adversarial Learning for Endomicroscopy Imaging Super-Resolution. IEEE J. Biomed. Health Informatics 27(8): 3994-4005 (2023) - [j26]Weihao Yu, Hao Zheng, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang:
TNN: Tree Neural Network for Airway Anatomical Labeling. IEEE Trans. Medical Imaging 42(1): 103-118 (2023) - [j25]Chao Xia, Jiyue Wang, Yulei Qin, Juan Wen, Zhaojiang Liu, Ning Song, Lingqian Wu, Bing Chen, Yun Gu, Jie Yang:
KaryoNet: Chromosome Recognition With End-to-End Combinatorial Optimization Network. IEEE Trans. Medical Imaging 42(10): 2899-2911 (2023) - [c52]Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen:
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning. AAAI 2023: 2101-2109 - [c51]Weiduo Wang, Yun Gu, Jie Yang:
Variational Feature Disentanglement for Few-Shot Domain Adaptation. ICIP 2023: 2860-2864 - [c50]Jiasheng Xu, Tianyi Zhang, Yangqian Wu, Jie Yang, Guang-Zhong Yang, Yun Gu:
CDFI: Cross Domain Feature Interaction for Robust Bronchi Lumen Detection. ICRA 2023: 4754-4760 - [c49]Yuncheng Yang, Jie Yang, Junjun He, Yun Gu:
Fdinet: Feature-Decomposition-Interaction Networks for Retinal Vessel Segmentation. ISBI 2023: 1-5 - [c48]Xin You, Ming Ding, Minghui Zhang, Yangqian Wu, Yi Yu, Yun Gu, Jie Yang:
Semantic Difference Guidance for the Uncertain Boundary Segmentation of CT Left Atrial Appendage. MICCAI (7) 2023: 121-131 - [c47]Hao Yue, Yun Gu:
TCL: Triplet Consistent Learning for Odometry Estimation of Monocular Endoscope. MICCAI (9) 2023: 144-153 - [c46]Weihao Yu, Hao Zheng, Yun Gu, Fangfang Xie, Jiayuan Sun, Jie Yang:
AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling. MICCAI (7) 2023: 393-402 - [c45]Yuncheng Yang, Meng Wei, Junjun He, Jie Yang, Jin Ye, Yun Gu:
Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation. MICCAI (1) 2023: 674-683 - [c44]Yulei Qin, Xingyu Chen, Yunhang Shen, Chaoyou Fu, Yun Gu, Ke Li, Xing Sun, Rongrong Ji:
CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes. NeurIPS 2023 - [i29]Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lv, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu:
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation. CoRR abs/2303.05745 (2023) - [i28]Xin You, Junjun He, Jie Yang, Yun Gu:
Learning with Explicit Shape Priors for Medical Image Segmentation. CoRR abs/2303.17967 (2023) - [i27]Ziyan Huang, Haoyu Wang, Zhongying Deng, Jin Ye, Yanzhou Su, Hui Sun, Junjun He, Yun Gu, Lixu Gu, Shaoting Zhang, Yu Qiao:
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training. CoRR abs/2304.06716 (2023) - [i26]Jiasheng Xu, Tianyi Zhang, Yangqian Wu, Jie Yang, Guang-Zhong Yang, Yun Gu:
CDFI: Cross Domain Feature Interaction for Robust Bronchi Lumen Detection. CoRR abs/2304.09115 (2023) - [i25]Puyang Wang, Dazhou Guo, Dandan Zheng, Minghui Zhang, Haogang Yu, Xin Sun, Jia Ge, Yun Gu, Le Lu, Xianghua Ye, Dakai Jin:
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning. CoRR abs/2306.09116 (2023) - [i24]Yuncheng Yang, Meng Wei, Junjun He, Jie Yang, Jin Ye, Yun Gu:
Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation. CoRR abs/2307.11958 (2023) - [i23]Chuyan Zhang, Yuncheng Yang, Hao Zheng, Yun Gu:
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization. CoRR abs/2307.15282 (2023) - [i22]Ziyan Huang, Zhongying Deng, Jin Ye, Haoyu Wang, Yanzhou Su, Tianbin Li, Hui Sun, Junlong Cheng, Jianpin Chen, Junjun He, Yun Gu, Shaoting Zhang, Lixu Gu, Yu Qiao:
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation. CoRR abs/2309.03906 (2023) - [i21]Junyang Wu, Yun Gu:
Unleashing the Power of Depth and Pose Estimation Neural Networks by Designing Compatible Endoscopic Images. CoRR abs/2309.07390 (2023) - [i20]Yulei Qin, Xingyu Chen, Yunhang Shen, Chaoyou Fu, Yun Gu, Ke Li, Xing Sun, Rongrong Ji:
CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes. CoRR abs/2310.09761 (2023) - [i19]Minghui Zhang, Hanxiao Zhang, Xin You, Guang-Zhong Yang, Yun Gu:
Implicit Shape Modeling for Anatomical Structure Refinement of Volumetric Medical Images. CoRR abs/2312.06164 (2023) - [i18]Xin You, Ming Ding, Minghui Zhang, Hanxiao Zhang, Yi Yu, Jie Yang, Yun Gu:
PnPNet: Pull-and-Push Networks for Volumetric Segmentation with Boundary Confusion. CoRR abs/2312.08323 (2023) - [i17]Yang Nan, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N. Felder, Sheng Zhang, Roberta Eufrasia Ledda, Xiaoliu Ding, Ruiqi Yu, Weiping Liu, Feng Shi, Tianyang Sun, Zehong Cao, Minghui Zhang, Yun Gu, Hanxiao Zhang, Jian Gao, Wen Tang, Pengxin Yu, Han Kang, Junqiang Chen, Xing Lu, Boyu Zhang, Michail Mamalakis, Francesco Prinzi, Gianluca Carlini, Lisa Cuneo, Abhirup Banerjee, Zhaohu Xing, Lei Zhu, Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Hongyu Yuan, Qing Lyu, Athol Wells, Simon Walsh, Guang Yang:
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. CoRR abs/2312.13752 (2023) - 2022
- [j24]Yangqian Wu, Minghui Zhang, Weihao Yu, Hao Zheng, Jiasheng Xu, Yun Gu:
LTSP: long-term slice propagation for accurate airway segmentation. Int. J. Comput. Assist. Radiol. Surg. 17(5): 857-865 (2022) - [j23]Tianyi Zhang, Yun Gu, Xiaolin Huang, Jie Yang, Guang-Zhong Yang:
Disparity-constrained stereo endoscopic image super-resolution. Int. J. Comput. Assist. Radiol. Surg. 17(5): 867-875 (2022) - [j22]Xuliang Gao, Yubin Sun, Yao Xiao, Yun Gu, Shuiqin Chai, Bin Chen:
Adaptive random down-sampling data augmentation and area attention pooling for low resolution face recognition. Expert Syst. Appl. 209: 118275 (2022) - [j21]Yun Gu, Yunze Xu, Xiaolin Huang, Jie Yang, Wei Xue, Guang-Zhong Yang:
Toward Robust Histology-Prior Embedding for Endomicroscopy Image Classification. IEEE Trans. Medical Imaging 41(11): 3242-3252 (2022) - [j20]Yun Gu, Chuanjia Gu, Jie Yang, Jiayuan Sun, Guang-Zhong Yang:
Vision-Kinematics Interaction for Robotic-Assisted Bronchoscopy Navigation. IEEE Trans. Medical Imaging 41(12): 3600-3610 (2022) - [c43]Rui Wang, Yun Gu, Jie Yang:
Cancer metastasis fast location based on coarse-to-fine network. CACML 2022: 223-227 - [c42]Xin You, Yun Gu, Yingying Liu, Steve Lu, Xin Tang, Jie Yang:
EG-Trans3DUNet: A Single-Staged Transformer-Based Model for Accurate Vertebrae Segmentation from Spinal Ct Images. ISBI 2022: 1-5 - [c41]Hanxiao Zhang, Liang Chen, Minghui Zhang, Xiao Gu, Yulei Qin, Weihao Yu, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang:
Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging. iMIMIC@MICCAI 2022: 1-11 - [c40]Chao Xia, Jiyue Wang, Yulei Qin, Yun Gu, Bing Chen, Jie Yang:
An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention. MICCAI (4) 2022: 3-13 - [c39]Hanxiao Zhang, Xiao Gu, Minghui Zhang, Weihao Yu, Liang Chen, Zhexin Wang, Feng Yao, Yun Gu, Guang-Zhong Yang:
Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction. MILLanD@MICCAI 2022: 42-51 - [c38]Xin You, Yun Gu, Junjun He, Hui Sun, Jie Yang:
A More Design-Flexible Medical Transformer for Volumetric Image Segmentation. MLMI@MICCAI 2022: 62-71 - [c37]Minghui Zhang, Hanxiao Zhang, Guang-Zhong Yang, Yun Gu:
CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs. MICCAI (1) 2022: 506-516 - [i16]Yangqian Wu, Minghui Zhang, Weihao Yu, Hao Zheng, Jiasheng Xu, Yun Gu:
LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation. CoRR abs/2202.06260 (2022) - [i15]Hanxiao Zhang, Liang Chen, Xiao Gu, Minghui Zhang, Yulei Qin, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang:
Faithful learning with sure data for lung nodule diagnosis. CoRR abs/2202.12515 (2022) - [i14]Hanxiao Zhang, Xiao Gu, Minghui Zhang, Weihao Yu, Liang Chen, Zhexin Wang, Feng Yao, Yun Gu, Guang-Zhong Yang:
Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction. CoRR abs/2207.14238 (2022) - [i13]Minghui Zhang, Guang-Zhong Yang, Yun Gu:
Differentiable Topology-Preserved Distance Transform for Pulmonary Airway Segmentation. CoRR abs/2209.08355 (2022) - [i12]Chuyan Zhang, Yun Gu:
Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks. CoRR abs/2209.12157 (2022) - [i11]Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen:
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning. CoRR abs/2212.00465 (2022) - 2021
- [j19]Tianjiao Guo, Ziyun Liang, Yun Gu, Jie Yang, Qi Yu:
Deep multi-task framework for optic disc and fovea detection. J. Electronic Imaging 30(4) (2021) - [j18]Chuyan Zhang, Yun Gu, Jie Yang, Guang-Zhong Yang:
Diversity-Aware Label Distribution Learning for Microscopy Auto Focusing. IEEE Robotics Autom. Lett. 6(2): 1942-1949 (2021) - [j17]Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang:
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT. IEEE Trans. Medical Imaging 40(6): 1603-1617 (2021) - [j16]Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang:
Alleviating Class-Wise Gradient Imbalance for Pulmonary Airway Segmentation. IEEE Trans. Medical Imaging 40(9): 2452-2462 (2021) - [j15]Yun Gu, Khushi Vyas, Mali Shen, Jie Yang, Guang-Zhong Yang:
Deep Graph-Based Multimodal Feature Embedding for Endomicroscopy Image Retrieval. IEEE Trans. Neural Networks Learn. Syst. 32(2): 481-492 (2021) - [c36]Zhiqiang Xie, Enmei Tu, Hao Zheng, Yun Gu, Jie Yang:
Semi-Supervised Skin Lesion Segmentation with Learning Model Confidence. ICASSP 2021: 1135-1139 - [c35]Ziyun Liang, Yun Gu, Jie Yang:
Hardmix: A Regularization Method to Mitigate the Large Shift in Few-Shot Domain Adaptation. ICIP 2021: 454-458 - [c34]Jiaqi Liu, Yu Qiao, Jie Yang, Guang-Zhong Yang, Yun Gu:
Discriminative Asymmetric Learning for Efficient Surgical Instrument Parsing. ICRA 2021: 13546-13552 - [c33]Minghui Zhang, Xin Yu, Hanxiao Zhang, Hao Zheng, Weihao Yu, Hong Pan, Xiangran Cai, Yun Gu:
FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation. DART/FAIR@MICCAI 2021: 25-34 - [c32]Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jiayuan Sun, Jie Yang, Guang-Zhong Yang:
Refined Local-imbalance-based Weight for Airway Segmentation in CT. MICCAI (1) 2021: 410-419 - [i10]Yulei Qin, Yun Gu, Hanxiao Zhang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu:
Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset. CoRR abs/2106.12991 (2021) - [i9]Minghui Zhang, Xin Yu, Hanxiao Zhang, Hao Zheng, Weihao Yu, Hong Pan, Xiangran Cai, Yun Gu:
FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation. CoRR abs/2109.02920 (2021) - 2020
- [j14]Meilian Lu, Yun Gu, Dongliang Xie:
A Dynamic and Collaborative Multi-Layer Virtual Network Embedding Algorithm in SDN Based on Reinforcement Learning. IEEE Trans. Netw. Serv. Manag. 17(4): 2305-2317 (2020) - [c31]Jiaqi Liu, Yu Qiao, Jie Yang, Yun Gu:
Part-Boundary-Aware Networks for Surgical Instrument Parsing. ICONIP (5) 2020: 723-730 - [c30]Yulei Qin, Yun Gu, Hao Zheng, Mingjian Chen, Jie Yang, Yue-Min Zhu:
AirwayNet-SE: A Simple-Yet-Effective Approach to Improve Airway Segmentation Using Context Scale Fusion. ISBI 2020: 809-813 - [c29]Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Yue-Min Zhu:
Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation. MICCAI (1) 2020: 221-231 - [c28]Hao Zheng, Zhiguo Zhuang, Yulei Qin, Yun Gu, Jie Yang, Guang-Zhong Yang:
Weakly Supervised Deep Learning for Breast Cancer Segmentation with Coarse Annotations. MICCAI (4) 2020: 450-459 - [c27]Hanxiao Zhang, Yun Gu, Yulei Qin, Feng Yao, Guang-Zhong Yang:
Learning with Sure Data for Nodule-Level Lung Cancer Prediction. MICCAI (6) 2020: 570-578 - [i8]Tianyi Zhang, Yun Gu, Xiaolin Huang, Enmei Tu, Jie Yang:
Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention. CoRR abs/2003.08539 (2020) - [i7]Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang:
Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation. CoRR abs/2011.11952 (2020) - [i6]Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang:
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT. CoRR abs/2012.05767 (2020)
2010 – 2019
- 2019
- [j13]Yun Gu, Jie Yang:
Multi-level magnification correlation hashing for scalable histopathological image retrieval. Neurocomputing 351: 134-145 (2019) - [j12]Mali Shen, Yun Gu, Ning Liu, Guang-Zhong Yang:
Context-Aware Depth and Pose Estimation for Bronchoscopic Navigation. IEEE Robotics Autom. Lett. 4(2): 732-739 (2019) - [j11]Yun Gu, Mali Shen, Jie Yang, Guang-Zhong Yang:
Reliable Label-Efficient Learning for Biomedical Image Recognition. IEEE Trans. Biomed. Eng. 66(9): 2423-2432 (2019) - [j10]Yun Gu, Jie Yang:
Densely-Connected Multi-Magnification Hashing for Histopathological Image Retrieval. IEEE J. Biomed. Health Informatics 23(4): 1683-1691 (2019) - [j9]Yun Gu, Khushi Vyas, Jie Yang, Guang-Zhong Yang:
Transfer Recurrent Feature Learning for Endomicroscopy Image Recognition. IEEE Trans. Medical Imaging 38(3): 791-801 (2019) - [c26]Yun Gu, Benjamin M. Walter, Jie Yang, Alexander Meining, Guang-Zhong Yang:
Triplet Feature Learning on Endoscopic Video Manifold for Online GastroIntestinal Image Retargeting. MICCAI (5) 2019: 38-46 - [c25]Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang:
AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks. MICCAI (6) 2019: 212-220 - [i5]Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang:
AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks. CoRR abs/1907.06852 (2019) - 2018
- [j8]Chao Ma, Yun Gu, Chen Gong, Jie Yang, Deying Feng:
Unsupervised Video Hashing via Deep Neural Network. Neural Process. Lett. 47(3): 877-890 (2018) - [j7]Chao Ma, Chen Gong, Yun Gu, Jie Yang, Deying Feng:
SHISS: Supervised hashing with informative set selection. Pattern Recognit. Lett. 107: 105-113 (2018) - [c24]Yang Hu, Yun Gu, Jie Yang, Guang-Zhong Yang:
Multi-Stage Suture Detection for Robot Assisted Anastomosis Based on Deep Learning. ICRA 2018: 1-8 - [c23]Yun Gu, Yang Hu, Lin Zhang, Jie Yang, Guang-Zhong Yang:
Cross-Scene Suture Thread Parsing for Robot Assisted Anastomosis based on Joint Feature Learning. IROS 2018: 769-776 - [c22]Yun Gu, Khushi Vyas, Jie Yang, Guang-Zhong Yang:
Weakly Supervised Representation Learning for Endomicroscopy Image Analysis. MICCAI (2) 2018: 326-334 - [c21]Hao Zheng, Yun Gu, Yulei Qin, Xiaolin Huang, Jie Yang, Guang-Zhong Yang:
Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection. MICCAI (2) 2018: 876-884 - 2017
- [j6]Lei Zhou, Qi Yu, Xun Xu, Yun Gu, Jie Yang:
Improving dense conditional random field for retinal vessel segmentation by discriminative feature learning and thin-vessel enhancement. Comput. Methods Programs Biomed. 148: 13-25 (2017) - [j5]Yun Gu, Haoyang Xue, Jie Yang:
Cross-Modal Saliency Correlation for Image Annotation. Neural Process. Lett. 45(3): 777-789 (2017) - [c20]Yun Gu, Khushi Vyas, Jie Yang, Guang-Zhong Yang:
Unsupervised Feature Learning for Endomicroscopy Image Retrieval. MICCAI (3) 2017: 64-71 - [i4]Yang Hu, Yun Gu, Jie Yang, Guang-Zhong Yang:
Multi-stage Suture Detection for Robot Assisted Anastomosis based on Deep Learning. CoRR abs/1711.03179 (2017) - 2016
- [j4]Chengde Zheng, Xiaoyu Zhang, Yun Gu, Zhanshan Wang:
Novel Delay-Dependent Stability Criteria for Fuzzy Neural Networks Using Delay-Decomposition Approach. Circuits Syst. Signal Process. 35(2): 501-526 (2016) - [c19]Penglin Li, Mengxue Liu, Yun Gu, Lixiu Yao, Jie Yang:
Adaptive Multi-Metric Fusion for Person Re-identification. CCPR (1) 2016: 258-267 - [c18]Yun Gu, Jie Yang, Guang-Zhong Yang:
Multi-view Multi-modal Feature Embedding for Endomicroscopy Mosaic Classification. CVPR Workshops 2016: 1315-1323 - [c17]Liqun Ji, Yun Gu, Kun Sun, Jie Yang, Yu Qiao:
Congenital heart disease (CHD) discrimination in fetal echocardiogram based on 3D feature fusion. ICIP 2016: 3419-3423 - [c16]Chao Ma, Yun Gu, Wei Liu, Jie Yang, Xiangjian He:
Unsupervised Video Hashing by Exploiting Spatio-Temporal Feature. ICONIP (3) 2016: 511-518 - [c15]Yun Gu, Chao Ma, Jie Yang:
Supervised Recurrent Hashing for Large Scale Video Retrieval. ACM Multimedia 2016: 272-276 - [i3]Yun Gu, Guang-Zhong Yang, Jie Yang, Kun Sun:
4D Cardiac Ultrasound Standard Plane Location by Spatial-Temporal Correlation. CoRR abs/1607.05969 (2016) - 2015
- [j3]Chengde Zheng, Yun Gu, Wenlong Liang, Zhanshan Wang:
Novel delay-dependent stability criteria for switched Hopfield neural networks of neutral type. Neurocomputing 158: 117-126 (2015) - [j2]Weili Han, Yun Gu, Wei Wang, Yin Zhang, Yuliang Yin, Junyu Wang, Li-Rong Zheng:
The design of an electronic pedigree system for food safety. Inf. Syst. Frontiers 17(2): 275-287 (2015) - [j1]Yun Gu, Xueming Qian, Qing Li, Meng Wang, Richang Hong, Qi Tian:
Image Annotation by Latent Community Detection and Multikernel Learning. IEEE Trans. Image Process. 24(11): 3450-3463 (2015) - [c14]Haoyang Xue, Yun Gu, Yijun Li, Jie Yang:
RGB-D saliency detection via mutual guided manifold ranking. ICIP 2015: 666-670 - [c13]Yun Gu, Haoyang Xue, Jie Yang, Pengfei Shi:
Cross-modality hashing with partial correspondence. ICIP 2015: 1925-1929 - [c12]Shuai Huang, Yun Gu, Jie Yang, Pengfei Shi:
Reranking of person re-identification by manifold-based approach. ICIP 2015: 4253-4257 - [c11]Shaoyong Jia, Shijie Geng, Yun Gu, Jie Yang, Pengfei Shi, Yu Qiao:
NSLIC: SLIC superpixels based on nonstationarity measure. ICIP 2015: 4738-4742 - [c10]Shaoyong Jia, Yuding Liang, Xianyang Chen, Yun Gu, Jie Yang, Nikola K. Kasabov, Yu Qiao:
Adaptive Location for Multiple Salient Objects Detection. ICONIP (3) 2015: 411-418 - [i2]Yun Gu, Haoyang Xue, Jie Yang:
Cross-Modality Hashing with Partial Correspondence. CoRR abs/1502.05224 (2015) - [i1]Wei Liu, Yun Gu, Chunhua Shen, Xiaogang Chen, Qiang Wu, Jie Yang:
Data Driven Robust Image Guided Depth Map Restoration. CoRR abs/1512.08103 (2015) - 2014
- [c9]Yun Gu, Haoyang Xue, Jie Yang, Zhenhong Jia:
Automatic Image Annotation Exploiting Textual and Visual Saliency. ICONIP (3) 2014: 95-102 - [c8]Wei Liu, Haoyang Xue, Yun Gu, Jie Yang, Qiang Wu, Zhenhong Jia:
Shape Preserving RGB-D Depth Map Restoration. ICONIP (3) 2014: 150-158 - [c7]Weili Han, Yun Gu, Yin Zhang, Li-Rong Zheng:
Data driven quantitative trust model for the Internet of Agricultural Things. IOT 2014: 31-36 - 2013
- [c6]Qing Li, Yun Gu, Xueming Qian:
LCMKL: latent-community and multi-kernel learning based image annotation. CIKM 2013: 1469-1472 - [c5]Yun Gu, Ting Liu, Dai Wang, Xiaohong Guan, Zhanbo Xu:
Bad data detection method for smart grids based on distributed state estimation. ICC 2013: 4483-4487 - [c4]Ting Liu, Yun Gu, Dai Wang, Yuhong Gui, Xiaohong Guan:
A novel method to detect bad data injection attack in smart grid. INFOCOM Workshops 2013: 49-54 - [c3]Ting Liu, Yun Gu, Dai Wang, Yuhong Gui, Xiaohong Guan:
A novel method to detect bad data injection attack in smart grid. INFOCOM 2013: 3423-3428 - 2012
- [c2]Yun Gu, Weili Han, Li-Rong Zheng, Bo Jin:
Using IoT Technologies to Resolve the Food Safety Problem - An Analysis Based on Chinese Food Standards. WISM 2012: 380-392 - 2011
- [c1]Weili Han, Chenguang Shen, Yuliang Yin, Yun Gu, Chen Chen:
Poster: using quantified risk and benefit to strengthen the security of information sharing. CCS 2011: 781-784
Coauthor Index
[j45] [j43] [i41] [i38] [i35] [j34] [j33] [j29] [j26] [j25] [c52] [c50] [c49] [c46] [i26] [j23] [j21] [j20] [c43] [c42] [c40] [c38] [i11] [j19] [j18] [j17] [j16] [j15] [c36] [c35] [c34] [c32] [i10] [c31] [c30] [c29] [c28] [i8] [i7] [i6] [j13] [j11] [j10] [j9] [c26] [c25] [i5] [j8] [j7] [c24] [c23] [c22] [c21] [j6] [j5] [c20] [i4] [c19] [c18] [c17] [c16] [c15] [i3] [c14] [c13] [c12] [c11] [c10] [i2] [i1] [c9] [c8]
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