no code implementations • 18 Feb 2015 • Yun Gu, Haoyang Xue, Jie Yang
Learning a hashing function for cross-media search is very desirable due to its low storage cost and fast query speed.
no code implementations • 26 Dec 2015 • Wei Liu, Yun Gu, Chunhua Shen, Xiaogang Chen, Qiang Wu, Jie Yang
Depth maps captured by modern depth cameras such as Kinect and Time-of-Flight (ToF) are usually contaminated by missing data, noises and suffer from being of low resolution.
no code implementations • 20 Jul 2016 • Yun Gu, Guang-Zhong Yang, Jie Yang, Kun Sun
The proposed method is comprised of three stages, the frame smoothing, spatial-temporal embedding and final classification.
no code implementations • 8 Nov 2017 • Yang Hu, Yun Gu, Jie Yang, Guang-Zhong Yang
In robotic surgery, task automation and learning from demonstration combined with human supervision is an emerging trend for many new surgical robot platforms.
no code implementations • 16 Jul 2019 • Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang
Airway segmentation on CT scans is critical for pulmonary disease diagnosis and endobronchial navigation.
no code implementations • 19 Mar 2020 • Tianyi Zhang, Yun Gu, Xiaolin Huang, Enmei Tu, Jie Yang
In particular, we incorporate a disparity-based constraint mechanism into the generation of SR images in a deep neural network framework with an additional atrous parallax-attention modules.
1 code implementation • 24 Nov 2020 • Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang
Due to the small size and scattered spatial distribution of peripheral bronchi, this is hampered by severe class imbalance between foreground and background regions, which makes it challenging for CNN-based methods to parse distal small airways.
1 code implementation • 10 Dec 2020 • Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang
Training convolutional neural networks (CNNs) for segmentation of pulmonary airway, artery, and vein is challenging due to sparse supervisory signals caused by the severe class imbalance between tubular targets and background.
no code implementations • 24 Jun 2021 • Yulei Qin, Yun Gu, Hanxiao Zhang, Jie Yang, Lihui Wang, Zhexin Wang, Feng Yao, Yue-Min Zhu
The correlation between nodules and the counting number of airways and vessels that contact or project towards nodules are respectively (OR=22. 96, \chi^2=105. 04) and (OR=7. 06, \chi^2=290. 11).
no code implementations • 7 Sep 2021 • Minghui Zhang, Xin Yu, Hanxiao Zhang, Hao Zheng, Weihao Yu, Hong Pan, Xiangran Cai, Yun Gu
Compared to other state-of-the-art transfer learning methods, our method accurately segmented more bronchi in the noisy CT scans.
no code implementations • 13 Feb 2022 • Yangqian Wu, Minghui Zhang, Weihao Yu, Hao Zheng, Jiasheng Xu, Yun Gu
Methods: In this paper, a long-term slice propagation (LTSP) method is proposed for accurate airway segmentation from pathological CT scans.
no code implementations • 25 Feb 2022 • Hanxiao Zhang, Liang Chen, Xiao Gu, Minghui Zhang, Yulei Qin, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang
In this study, we construct a sure dataset with pathologically-confirmed labels and propose a collaborative learning framework to facilitate sure nodule classification by integrating unsure data knowledge through nodule segmentation and malignancy score regression.
no code implementations • 28 Jul 2022 • Hanxiao Zhang, Xiao Gu, Minghui Zhang, Weihao Yu, Liang Chen, Zhexin Wang, Feng Yao, Yun Gu, Guang-Zhong Yang
The LIDC-IDRI database is the most popular benchmark for lung cancer prediction.
no code implementations • 17 Sep 2022 • Minghui Zhang, Guang-Zhong Yang, Yun Gu
Detailed pulmonary airway segmentation is a clinically important task for endobronchial intervention and treatment of peripheral located lung cancer lesions.
2 code implementations • 25 Sep 2022 • Chuyan Zhang, Yun Gu
Self-supervised learning (SSL) has achieved remarkable performance in various medical imaging tasks by dint of priors from massive unlabelled data.
1 code implementation • 1 Dec 2022 • Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen
Most existing methods focus on learning noise-robust models from web images while neglecting the performance drop caused by the differences between web domain and real-world domain.
1 code implementation • 10 Mar 2023 • Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Ya'nan 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, Raul San Jose Estepar, Carlos Cano Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu
In recent years, new methods have extended the reach of pulmonary airway segmentation that is closer to the limit of image resolution.
1 code implementation • 31 Mar 2023 • Xin You, Junjun He, Jie Yang, Yun Gu
Hence, in our work, we proposed a novel shape prior module (SPM), which can explicitly introduce shape priors to promote the segmentation performance of UNet-based models.
no code implementations • 13 Apr 2023 • Ziyan Huang, Haoyu Wang, Zhongying Deng, Jin Ye, Yanzhou Su, Hui Sun, Junjun He, Yun Gu, Lixu Gu, Shaoting Zhang, Yu Qiao
However, the state-of-the-art models for medical image segmentation are still small-scale, with their parameters only in the tens of millions.
no code implementations • 18 Apr 2023 • Jiasheng Xu, Tianyi Zhang, Yangqian Wu, Jie Yang, Guang-Zhong Yang, Yun Gu
Endobronchial intervention is increasingly used as a minimally invasive means for the treatment of pulmonary diseases.
no code implementations • 15 Jun 2023 • Puyang Wang, Dazhou Guo, Dandan Zheng, Minghui Zhang, Haogang Yu, Xin Sun, Jia Ge, Yun Gu, Le Lu, Xianghua Ye, Dakai Jin
Intrathoracic airway segmentation in computed tomography (CT) is a prerequisite for various respiratory disease analyses such as chronic obstructive pulmonary disease (COPD), asthma and lung cancer.
1 code implementation • 22 Jul 2023 • Yuncheng Yang, Meng Wei, Junjun He, Jie Yang, Jin Ye, Yun Gu
To make up for its deficiency when applying transfer learning to medical image segmentation, in this paper, we therefore propose a new Transferability Estimation (TE) method.
1 code implementation • 28 Jul 2023 • Chuyan Zhang, Yuncheng Yang, Hao Zheng, Yun Gu
Driven by the latest trend towards self-supervised learning (SSL), the paradigm of "pretraining-then-finetuning" has been extensively explored to enhance the performance of clinical applications with limited annotations.
2 code implementations • 7 Sep 2023 • 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
To address these questions, we introduce A-Eval, a benchmark for the cross-dataset Evaluation ('Eval') of Abdominal ('A') multi-organ segmentation.
no code implementations • 14 Sep 2023 • Junyang Wu, Yun Gu
In this study, we conduct a detail analysis of the properties of endoscopic images and improve the compatibility of images and neural networks, to unleash the power of current neural networks.
1 code implementation • MICCAI 2023 • Xin You, Ming Ding, Minghui Zhang, Yangqian Wu, Yi Yu, Yun Gu, Jie Yang
In this paper, we have modeled relative relations between the LA and LAA via deep segmentation networks for the first time, and introduce a new LA & LAA CT dataset.
1 code implementation • 11 Dec 2023 • Minghui Zhang, Hanxiao Zhang, Xin You, Guang-Zhong Yang, Yun Gu
In this paper, a unified framework is proposed for 3D shape modelling and segmentation refinement based on implicit neural networks.
1 code implementation • 13 Dec 2023 • Xin You, Ming Ding, Minghui Zhang, Hanxiao Zhang, Yi Yu, Jie Yang, Yun Gu
Precise boundary segmentation of volumetric images is a critical task for image-guided diagnosis and computer-assisted intervention, especially for boundary confusion in clinical practice.
no code implementations • 21 Dec 2023 • 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 LF Walsh, Guang Yang
The online validation set incorporated 52 HRCT scans from patients with fibrotic lung disease and the offline test set included 140 cases from fibrosis and COVID-19 patients.
1 code implementation • 10 Mar 2024 • Yuncheng Yang, Chuyan Zhang, Zuopeng Yang, Yuting Gao, Yulei Qin, Ke Li, Xing Sun, Jie Yang, Yun Gu
Prompt learning is effective for fine-tuning foundation models to improve their generalization across a variety of downstream tasks.
no code implementations • 16 Mar 2024 • Junyang Wu, Yun Gu, Guang-Zhong Yang
In this work, an efficient neural style transfer framework for endoscopic visual odometry is proposed, which compresses the time from pre-operative planning to testing phase to less than five minutes.