Search Results for author: Xiao-Yun Zhou

Found 24 papers, 2 papers with code

A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI

no code implementations17 Oct 2021 Peng Wang, YuHsuan Wu, Bolin Lai, Xiao-Yun Zhou, Le Lu, Wendi Liu, Huabang Zhou, Lingyun Huang, Jing Xiao, Adam P. Harrison, Ningyang Jia, Heping Hu

Results: the proposed CAD solution achieves a mean F1 score of 0. 62, outperforming the abdominal radiologist (0. 47), matching the junior hepatology radiologist (0. 61), and underperforming the senior hepatology radiologist (0. 68).

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

VeniBot: Towards Autonomous Venipuncture with Automatic Puncture Area and Angle Regression from NIR Images

no code implementations27 May 2021 Xu Cao, Zijie Chen, Bolin Lai, Yuxuan Wang, Yu Chen, Zhengqing Cao, Zhilin Yang, Nanyang Ye, Junbo Zhao, Xiao-Yun Zhou, Peng Qi

For the automation, we focus on the positioning part and propose a Dual-In-Dual-Out network based on two-step learning and two-task learning, which can achieve fully automatic regression of the suitable puncture area and angle from near-infrared(NIR) images.

Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph

no code implementations29 Apr 2021 Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, ChiHung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Kuo Chang-Fu, Adam Harrison, Shun Miao

It first trains a DAG model on the labeled data and then fine-tunes the pre-trained model on the unlabeled data with a teacher-student SSL mechanism.

Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data

no code implementations24 Mar 2021 Bolin Lai, YuHsuan Wu, Xiao-Yun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison

Lesion detection serves a critical role in early diagnosis and has been well explored in recent years due to methodological advancesand increased data availability.

Lesion Detection

Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays

no code implementations30 Dec 2020 Yirui Wang, Kang Zheng, Chi-Tung Chang, Xiao-Yun Zhou, Zhilin Zheng, Lingyun Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Shun Miao

Exploiting available medical records to train high performance computer-aided diagnosis (CAD) models via the semi-supervised learning (SSL) setting is emerging to tackle the prohibitively high labor costs involved in large-scale medical image annotations.

Knowledge Distillation

Amata: An Annealing Mechanism for Adversarial Training Acceleration

no code implementations15 Dec 2020 Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu

However, conducting adversarial training brings much computational overhead compared with standard training.

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

Real-time Surgical Environment Enhancement for Robot-Assisted Minimally Invasive Surgery Based on Super-Resolution

no code implementations8 Nov 2020 Ruoxi Wang, Dandan Zhang, QingBiao Li, Xiao-Yun Zhou, Benny Lo

In Robot-Assisted Minimally Invasive Surgery (RAMIS), a camera assistant is normally required to control the position and zooming ratio of the laparoscope, following the surgeon's instructions.

Depth Estimation Video Super-Resolution

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)

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.

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.

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.

Semantic Segmentation

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

no code implementations26 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) Medical Image Segmentation +1

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

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

no code implementations11 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.

Semantic Segmentation

Estimation of Tissue Oxygen Saturation from RGB Images based on Pixel-level Image Translation

no code implementations19 Apr 2018 Qing-Biao Li, Xiao-Yun Zhou, Jianyu Lin, Jian-Qing Zheng, Neil T. Clancy, Daniel S. Elson

Intra-operative measurement of tissue oxygen saturation (StO2) has been widely explored by pulse oximetry or hyperspectral imaging (HSI) to assess the function and viability of tissue.

Image-to-Image Translation Translation

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.

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