no code implementations • 25 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.
no code implementations • 17 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).
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.
no code implementations • 27 May 2021 • Yu Chen, Yuxuan Wang, Bolin Lai, Zijie Chen, Xu Cao, Nanyang Ye, Zhongyuan Ren, Junbo Zhao, Xiao-Yun Zhou, Peng Qi
In the modern medical care, venipuncture is an indispensable procedure for both diagnosis and treatment.
no code implementations • 27 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.
no code implementations • 29 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.
no code implementations • 24 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.
no code implementations • 30 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.
no code implementations • 15 Dec 2020 • Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu
However, conducting adversarial training brings much computational overhead compared with standard training.
no code implementations • 13 Dec 2020 • Bolin Lai, YuHsuan Wu, Xiaoyu Bai, Xiao-Yun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam Harrison
Using radiological scans to identify liver tumors is crucial for proper patient treatment.
no code implementations • 4 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.
no code implementations • 8 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.
no code implementations • 23 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.
no code implementations • 16 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).
no code implementations • 16 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.
no code implementations • 21 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.
no code implementations • 24 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.
no code implementations • 28 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.
1 code implementation • 26 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.
1 code implementation • 16 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.
1 code implementation • 11 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.
no code implementations • 19 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.
1 code implementation • 9 Apr 2018 • Jian-Qing Zheng, Xiao-Yun Zhou, Qing-Biao Li, Celia Riga, Guang-Zhong Yang
In this paper, the AAA was segmented using U-net with a small number (two) of training subjects.
no code implementations • 30 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.
no code implementations • 22 Sep 2017 • Xiao-Yun Zhou, Jianyu Lin, Celia Riga, Guang-Zhong Yang, Su-Lin Lee
Currently, this process is guided by 2D fluoroscopy, which is uninformative and error prone.