Search Results for author: Guang-Zhong Yang

Found 44 papers, 15 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

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

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.

MR Elastography with Optimization-Based Phase Unwrapping and Traveling Wave Expansion-based Neural Network (TWENN)

no code implementations6 Jan 2023 Shengyuan Ma, Runke Wang, Suhao Qiu, Ruokun Li, Qi Yue, Qingfang Sun, Liang Chen, Fuhua Yan, Guang-Zhong Yang, Yuan Feng

Here we propose a pipeline for processing MRE images using optimization-based displacement extraction and Traveling Wave Expansion-based Neural Network (TWENN) modulus estimation.

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.


A Compacted Structure for Cross-domain learning on Monocular Depth and Flow Estimation

no code implementations25 Aug 2022 Yu Chen, Xu Cao, Xiaoyi Lin, Baoru Huang, Xiao-Yun Zhou, Jian-Qing Zheng, Guang-Zhong Yang

A dual-head mechanism is used to predict optical flow for rigid and non-rigid motion based on a divide-and-conquer manner, which significantly improves the optical flow estimation performance.

Autonomous Driving Depth Estimation +1

A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction

no code implementations28 Mar 2022 Ruiyang Zhao, Zhao He, Tao Wang, Suhao Qiu, Pawel Herman, Yanle Hu, Chencheng Zhang, Dinggang Shen, Bomin Sun, Guang-Zhong Yang, Yuan Feng

Here we proposed a convolutional long short-term memory (Conv-LSTM) based recurrent neural network (RNN), or ConvLR, to reconstruct interventional images with golden-angle radial sampling.

MRI Reconstruction

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

TransAction: ICL-SJTU Submission to EPIC-Kitchens Action Anticipation Challenge 2021

1 code implementation28 Jul 2021 Xiao Gu, Jianing Qiu, Yao Guo, Benny Lo, Guang-Zhong Yang

In this report, the technical details of our submission to the EPIC-Kitchens Action Anticipation Challenge 2021 are given.

Action Anticipation

Adversarial Invariant Learning

1 code implementation CVPR 2021 Nanyang Ye, Jingxuan Tang, Huayu Deng, Xiao-Yun Zhou, Qianxiao Li, Zhenguo Li, Guang-Zhong Yang, Zhanxing Zhu

To the best of our knowledge, this is one of the first to adopt differentiable environment splitting method to enable stable predictions across environments without environment index information, which achieves the state-of-the-art performance on datasets with strong spurious correlation, such as Colored MNIST.

Domain Generalization Out-of-Distribution Generalization

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

Batch Group Normalization

no code implementations4 Dec 2020 Xiao-Yun Zhou, Jiacheng Sun, Nanyang Ye, Xu Lan, Qijun Luo, Bo-Lin Lai, Pedro Esperanca, Guang-Zhong Yang, Zhenguo Li

Among previous normalization methods, Batch Normalization (BN) performs well at medium and large batch sizes and is with good generalizability to multiple vision tasks, while its performance degrades significantly at small batch sizes.

Few-Shot Learning Image Classification +2

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

Constrained-Space Optimization and Reinforcement Learning for Complex Tasks

no code implementations1 Apr 2020 Ya-Yen Tsai, Bo Xiao, Edward Johns, Guang-Zhong Yang

The effectiveness of the proposed method is verified with a robotic suturing task, demonstrating that the learned policy outperformed the experts' demonstrations in terms of the smoothness of the joint motion and end-effector trajectories, as well as the overall task completion time.

reinforcement-learning Reinforcement Learning (RL)

DDU-Nets: Distributed Dense Model for 3D MRI Brain Tumor Segmentation

no code implementations3 Mar 2020 Hanxiao Zhang, Jingxiong Li, Mali Shen, Yaqi Wang, Guang-Zhong Yang

Segmentation of brain tumors and their subregions remains a challenging task due to their weak features and deformable shapes.

Brain Tumor Segmentation Segmentation +1

Artificial Intelligence in Surgery

no code implementations23 Dec 2019 Xiao-Yun Zhou, Yao Guo, Mali Shen, Guang-Zhong Yang

Artificial Intelligence (AI) is gradually changing the practice of surgery with the advanced technological development of imaging, navigation and robotic intervention.

Z-Net: an Anisotropic 3D DCNN for Medical CT Volume Segmentation

no code implementations16 Sep 2019 Peichao Li, Xiao-Yun Zhou, Zhao-Yang Wang, Guang-Zhong Yang

Accurate volume segmentation from the Computed Tomography (CT) scan is a common prerequisite for pre-operative planning, intra-operative guidance and quantitative assessment of therapeutic outcomes in robot-assisted Minimally Invasive Surgery (MIS).

Computed Tomography (CT) Segmentation

Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle

no code implementations16 Sep 2019 Zhao-Yang Wang, Xiao-Yun Zhou, Peichao Li, Celia Riga, Guang-Zhong Yang

3D shape instantiation which reconstructs the 3D shape of a target from limited 2D images or projections is an emerging technique for surgical intervention.

A Robust Regression Approach for Robot Model Learning

no code implementations23 Aug 2019 Francesco Cursi, Guang-Zhong Yang

Machine learning and data analysis have been used in many robotics fields, especially for modelling.

Outlier Detection regression

U-Net Training with Instance-Layer Normalization

no code implementations21 Aug 2019 Xiao-Yun Zhou, Peichao Li, Zhao-Yang Wang, Guang-Zhong Yang

However, two potential issues exist in BIN: first, the Clip function is not differentiable at input values of 0 and 1; second, the combined feature map is not with a normalized distribution which is harmful for signal propagation in DCNN.

Image Segmentation Semantic Segmentation

One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud

no code implementations24 Jul 2019 Xiao-Yun Zhou, Zhao-Yang Wang, Peichao Li, Jian-Qing Zheng, Guang-Zhong Yang

An average point cloud-to-point cloud (PC-to-PC) error of 1. 72mm has been achieved, which is comparable to the PLSR-based (1. 42mm) and KPLSR-based (1. 31mm) two-stage shape instantiation algorithm.

Image Segmentation Image to 3D +1

Real-time 3D Shape Instantiation for Partially-deployed Stent Segment from a Single 2D Fluoroscopic Image in Robot-assisted Fenestrated Endovascular Aortic Repair

no code implementations28 Feb 2019 Jian-Qing Zheng, Xiao-Yun Zhou, Guang-Zhong Yang

As original GCN is for classification, in this paper, the coarsening layers are removed and the softmax function at the network end is replaced with linear mapping for the regression task.

3D Shape Reconstruction

ACNN: a Full Resolution DCNN for Medical Image Segmentation

1 code implementation26 Jan 2019 Xiao-Yun Zhou, Jian-Qing Zheng, Peichao Li, Guang-Zhong Yang

These down sampling layers decrease the spatial dimension of feature maps, which can be detrimental to image segmentation.

Computed Tomography (CT) Image Segmentation +3

Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks

1 code implementation13 Oct 2018 Yulei Qin, Juan Wen, Hao Zheng, Xiaolin Huang, Jie Yang, Ning Song, Yue-Min Zhu, Lingqian Wu, Guang-Zhong Yang

To expedite the diagnosis, we present a novel method named Varifocal-Net for simultaneous classification of chromosome's type and polarity using deep convolutional networks.

Classification General Classification +2

3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair

1 code implementation16 Sep 2018 Jian-Qing Zheng, Xiao-Yun Zhou, Celia Riga, Guang-Zhong Yang

The current standard of intra-operative navigation during Fenestrated Endovascular Aortic Repair (FEVAR) calls for need of 3D alignments between inserted devices and aortic branches.

Computed Tomography (CT) Graph Matching +1

Normalization in Training U-Net for 2D Biomedical Semantic Segmentation

1 code implementation11 Sep 2018 Xiao-Yun Zhou, Guang-Zhong Yang

In this paper, four normalization methods - BN, IN, LN and GN are compared in details, specifically for 2D biomedical semantic segmentation.

2D Semantic Segmentation Segmentation +1

Translational Motion Compensation for Soft Tissue Velocity Images

no code implementations20 Aug 2018 Christina Koutsoumpa, Jennifer Keegan, David Firmin, Guang-Zhong Yang, Duncan Gillies

Methods: Translational motion is estimated from a suitable region of velocities automatically defined in the left-ventricular volume.

Motion Compensation

Artificial Intelligence and Robotics

no code implementations28 Mar 2018 Javier Andreu Perez, Fani Deligianni, Daniele Ravi, Guang-Zhong Yang

The recent successes of AI have captured the wildest imagination of both the scientific communities and the general public.


A Real-time and Registration-free Framework for Dynamic Shape Instantiation

no code implementations30 Dec 2017 Xiao-Yun Zhou, Guang-Zhong Yang, Su-Lin Lee

Secondly, kernel partial least squares regression (KPLSR) was used to learn the relationship between the pre-operative 3D SSM and a synchronized 2D SSM constructed from 2D images obtained at the approximate optimal scan plane.


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.

Towards Automatic 3D Shape Instantiation for Deployed Stent Grafts: 2D Multiple-class and Class-imbalance Marker Segmentation with Equally-weighted Focal U-Net

1 code implementation4 Nov 2017 Xiao-Yun Zhou Celia Riga, Su-Lin Lee, Guang-Zhong Yang

Previously, a semi-automatic 3D shape instantiation method was developed to instantiate the 3D shape of a main, deployed, and fenestrated stent graft from a single fluoroscopy projection in real-time, which could help 3D FEVAR navigation and robotic path planning.


Self-Supervised Siamese Learning on Stereo Image Pairs for Depth Estimation in Robotic Surgery

no code implementations17 May 2017 Menglong Ye, Edward Johns, Ankur Handa, Lin Zhang, Philip Pratt, Guang-Zhong Yang

Robotic surgery has become a powerful tool for performing minimally invasive procedures, providing advantages in dexterity, precision, and 3D vision, over traditional surgery.

Depth Estimation Depth Prediction

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

Robust Image Descriptors for Real-Time Inter-Examination Retargeting in Gastrointestinal Endoscopy

no code implementations18 May 2016 Menglong Ye, Edward Johns, Benjamin Walter, Alexander Meining, Guang-Zhong Yang

Despite successes with optical biopsy for in vivo and in situ tissue characterisation, biopsy retargeting for serial examinations is challenging because tissue may change in appearance between examinations.

Real-time 3D Tracking of Articulated Tools for Robotic Surgery

no code implementations11 May 2016 Menglong Ye, Lin Zhang, Stamatia Giannarou, Guang-Zhong Yang

The proposed method is based on the CAD model of the tools as well as robot kinematics to generate online part-based templates for efficient 2D matching and 3D pose estimation.

3D Pose Estimation Skills Assessment

Cannot find the paper you are looking for? You can Submit a new open access paper.