Search Results for author: Yun Gu

Found 31 papers, 13 papers with code

Efficient Domain Adaptation for Endoscopic Visual Odometry

no code implementations16 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.

Style Transfer Test-time Adaptation +1

RESTORE: Towards Feature Shift for Vision-Language Prompt Learning

1 code implementation10 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.

PnPNet: Pull-and-Push Networks for Volumetric Segmentation with Boundary Confusion

1 code implementation13 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.

Implicit Shape Modeling for Anatomical Structure Refinement of Volumetric Medical Images

1 code implementation11 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.

Image Segmentation Medical Image Segmentation +1

Semantic Difference Guidance for the Uncertain Boundary Segmentation of CT Left Atrial Appendage

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.


Unleashing the Power of Depth and Pose Estimation Neural Networks by Designing Compatible Endoscopic Images

no code implementations14 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.

Data Augmentation Pose Estimation

A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation

2 code implementations7 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.

Organ Segmentation Segmentation

AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization

1 code implementation28 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.

Cardiac Segmentation Lung Nodule Segmentation +4

Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation

1 code implementation22 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.

Image Segmentation Medical Image Segmentation +3

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

no code implementations15 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.

Anatomy Computed Tomography (CT) +3

CDFI: Cross Domain Feature Interaction for Robust Bronchi Lumen Detection

no code implementations18 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.

Learning with Explicit Shape Priors for Medical Image Segmentation

1 code implementation31 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.

Image Segmentation Medical Image Segmentation +2

FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning

1 code implementation1 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.

Contrastive Learning Representation Learning

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

2 code implementations25 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.

Self-Supervised Learning

Differentiable Topology-Preserved Distance Transform for Pulmonary Airway Segmentation

no code implementations17 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.


Faithful learning with sure data for lung nodule diagnosis

no code implementations25 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.

Classification Lung Nodule Classification +1

LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation

no code implementations13 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.

Computed Tomography (CT) Segmentation

FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation

no code implementations7 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.

Transfer Learning

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

no code implementations24 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).

Computed Tomography (CT)

Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT

1 code implementation10 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.

Anatomy Representation Learning +1

Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation

1 code implementation24 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.

Action Segmentation

Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention

no code implementations19 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.

Image Super-Resolution

Multi-stage Suture Detection for Robot Assisted Anastomosis based on Deep Learning

no code implementations8 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.

4D Cardiac Ultrasound Standard Plane Location by Spatial-Temporal Correlation

no code implementations20 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.

Computational Efficiency General Classification

Data Driven Robust Image Guided Depth Map Restoration

no code implementations26 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.

Cross-Modality Hashing with Partial Correspondence

no code implementations18 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.

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