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Author Yongchao Xu

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A collaborative online AI engine for CT-based COVID-19 diagnosis

Yongchao Xu, Liya Ma, Yang Fan, Yanyan Chen, Ke Ma, Jiehua Yang, Xian Yang, Yaobing Chen, Chang Shu, Ziwei Fan, Jiefeng Gan, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Dehua Yang, Ming-Wei Wang, Xi Wang, Xiaoliang Xie, Hongxiang Leng, Nagaraj Holalkere, Neil Halin, Ihab Roushdy Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Daniel Rubin, Guoping Wang, Chuangsheng Zheng, Zhen Li, Xiang Bai, Tian Xia,

Artificial intelligence can potentially provide a substantial role in streamlining chest computed tomography (CT) diagnosis of COVID-19 patients. However, several critical hurdles have impeded the development of robust AI model, which include deficiency, isolation, and heterogeneity of CT data generated from diverse institutions. These bring about lack of generalization of ... Read more >>

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Predicting COVID-19 malignant progression with AI techniques

Xiang Bai, Cong Fang, Yu Zhou, Song Bai, Zaiyi Liu, Qianlan Chen, Yongchao Xu, Tian Xia, Shi Gong, Xudong Xie, Dejia Song, Ronghui Du, Chunhua Zhou, Chengyang Chen, Dianer Nie, Dandan Tu, Changzheng Zhang, Xiaowu Liu, Lixin Qin, Weiwei Chen,

Background: The coronavirus disease 2019 (COVID-19) has become a worldwide pandemic since mid-December 2019, which greatly challenge public medical systems. With limited medical resources, it is a natural strategy, while adopted, to access the severity of patients then determine the treatment priority. However, our work observes the fact that the ... Read more >>

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Gliding vertex on the horizontal bounding box for multi-oriented object detection.

Yongchao Xu, Mingtao Fu, Qimeng Wang, Yukang Wang, Kai Chen, Gui-Song Xia, Xiang Bai,

Object detection has recently experienced substantial progress. Yet, the widely adopted horizontal bounding box representation is not appropriate for ubiquitous oriented objects such as objects in aerial images and scene texts. In this paper, we propose a simple yet effective framework to detect multi-oriented objects. Instead of directly regressing the ... Read more >>

IEEE Trans Pattern Anal Mach Intell (IEEE transactions on pattern analysis and machine intelligence)
[2020, :]

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Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.

Hugo J Kuijf, J Matthijs Biesbroek, Jeroen De Bresser, Rutger Heinen, Simon Andermatt, Mariana Bento, Matt Berseth, Mikhail Belyaev, M Jorge Cardoso, Adria Casamitjana, D Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Llado, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sebastien Ourselin, Bo-Yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Elodie Puybareau, Leticia Rittner, Carole H Sudre, Sergi Valverde, Veronica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje van der Flier, Frederik Barkhof, Max A Viergever, Geert Jan Biessels,

Quantification of cerebral white matter hyperintensities (WMH) of presumed vascular origin is of key importance in many neurological research studies. Currently, measurements are often still obtained from manual segmentations on brain MR images, which is a laborious procedure. The automatic WMH segmentation methods exist, but a standardized comparison of the ... Read more >>

IEEE Trans Med Imaging (IEEE transactions on medical imaging)
[2019, 38(11):2556-2568]

Cited: 4 times

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Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.

Li Wang, Dong Nie, Guannan Li, Elodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jiawei Chen, Kim-Han Thung, Toan Duc Bui, Jitae Shin, Guodong Zeng, Guoyan Zheng, Vladimir S Fonov, Andrew Doyle, Yongchao Xu, Pim Moeskops, Josien P W Pluim, Christian Desrosiers, Ismail Ben Ayed, Gerard Sanroma, Oualid M Benkarim, Adria Casamitjana, Veronica Vilaplana, Weili Lin, Gang Li, Dinggang Shen,

Accurate segmentation of infant brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is an indispensable foundation for early studying of brain growth patterns and morphological changes in neurodevelopmental disorders. Nevertheless, in the isointense phase (approximately 6-9 months of age), due to inherent ... Read more >>

IEEE Trans Med Imaging (IEEE transactions on medical imaging)
[2019, :]

Cited: 1 time

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TextField: Learning a Deep Direction Field for Irregular Scene Text Detection.

Yongchao Xu, Yukang Wang, Wei Zhou, Yongpan Wang, Zhibo Yang, Xiang Bai,

Scene text detection is an important step in the scene text reading system. The main challenges lie in significantly varied sizes and aspect ratios, arbitrary orientations, and shapes. Driven by the recent progress in deep learning, impressive performances have been achieved for multi-oriented text detection. Yet, the performance drops dramatically ... Read more >>

IEEE Trans Image Process (IEEE transactions on image processing : a publication of the IEEE Signal Processing Society)
[2019, 28(11):5566-5579]

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The challenge of cerebral magnetic resonance imaging in neonates: A new method using mathematical morphology for the segmentation of structures including diffuse excessive high signal intensities.

Yongchao Xu, Baptiste Morel, Sonia Dahdouh, Élodie Puybareau, Alessio Virzì, Héléne Urien, Thierry Géraud, Catherine Adamsbaum, Isabelle Bloch,

Preterm birth is a multifactorial condition associated with increased morbidity and mortality. Diffuse excessive high signal intensity (DEHSI) has been recently described on T2-weighted MR sequences in this population and thought to be associated with neuropathologies. To date, no robust and reproducible method to assess the presence of white matter ... Read more >>

Med Image Anal (Medical image analysis)
[2018, 48:75-94]

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Comprehensive transcriptome profiling of soybean leaves in response to simulated acid rain.

Long Yang, Yongchao Xu, Rui Zhang, Xiaotong Wang, Chao Yang,

As a source of edible oil and protein, soybean is a major globally important economic crop; Improving its production has been an important objective of soybean breeding. Acid rain has been shown to influence soybean growth and productivity, with consequent adverse impacts on its production for use by human populations. ... Read more >>

Ecotoxicol. Environ. Saf. (Ecotoxicology and environmental safety)
[2018, 158:18-27]

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Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images.

Shengwen Guo, Chunren Lai, Congling Wu, Guiyin Cen, ,

Neuroimaging measurements derived from magnetic resonance imaging provide important information required for detecting changes related to the progression of mild cognitive impairment (MCI). Cortical features and changes play a crucial role in revealing unique anatomical patterns of brain regions, and further differentiate MCI patients from normal states. Four cortical features, ... Read more >>

Front Aging Neurosci (Frontiers in aging neuroscience)
[2017, 9:146]

Cited: 4 times

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A challenging issue: Detection of white matter hyperintensities in neonatal brain MRI.

Baptiste Morel, Yongchao Xu, Alessio Virzi, Thierry Geraud, Catherine Adamsbaum, Isabelle Bloch,

The progress of magnetic resonance imaging (MRI) allows for a precise exploration of the brain of premature infants at term equivalent age. The so-called DEHSI (diffuse excessive high signal intensity) of the white matter of premature brains remains a challenging issue in terms of definition, and thus of interpretation. We ... Read more >>

Conf Proc IEEE Eng Med Biol Soc (Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference)
[2016, 2016:93-96]

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Genome-wide analysis of the fructose 1,6-bisphosphate aldolase (FBA) gene family and functional characterization of FBA7 in tomato.

Bingbing Cai, Qiang Li, Yongchao Xu, Long Yang, Huangai Bi, Xizhen Ai,

Fructose 1,6-bisphosphate aldolase (FBA) is a key enzyme in plants that is involved in glycolysis, gluconeogenesis, and the Calvin cycle. FBA genes play significant roles in biotic and abiotic stress responses and also regulate growth and development. Despite the importance of FBA genes, little is known about it in tomato. ... Read more >>

Plant Physiol. Biochem. (Plant physiology and biochemistry : PPB)
[2016, 108:251-265]

Cited: 7 times

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Hierarchical Segmentation Using Tree-Based Shape Spaces.

Yongchao Xu, Edwin Carlinet, Thierry Geraud, Laurent Najman,

Current trends in image segmentation are to compute a hierarchy of image segmentations from fine to coarse. A classical approach to obtain a single meaningful image partition from a given hierarchy is to cut it in an optimal way, following the seminal approach of the scale-set theory. While interesting in ... Read more >>

IEEE Trans Pattern Anal Mach Intell (IEEE transactions on pattern analysis and machine intelligence)
[2017, 39(3):457-469]

Cited: 1 time

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CsSNP: A Web-Based Tool for the Detecting of Comparative Segments SNPs.

Yi Wang, Shuangshuang Wang, Dongjie Zhou, Shuai Yang, Yongchao Xu, Chao Yang, Long Yang,

SNP (single nucleotide polymorphism) is a popular tool for the study of genetic diversity, evolution, and other areas. Therefore, it is necessary to develop a convenient, utility, robust, rapid, and open source detecting-SNP tool for all researchers. Since the detection of SNPs needs special software and series steps including alignment, ... Read more >>

J. Comput. Biol. (Journal of computational biology : a journal of computational molecular cell biology)
[2016, 23(7):597-602]

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Connected Filtering on Tree-Based Shape-Spaces.

Yongchao Xu, Thierry Geraud, Laurent Najman,

Connected filters are well-known for their good contour preservation property. A popular implementation strategy relies on tree-based image representations: for example, one can compute an attribute characterizing the connected component represented by each node of the tree and keep only the nodes for which the attribute is sufficiently high. This ... Read more >>

IEEE Trans Pattern Anal Mach Intell (IEEE transactions on pattern analysis and machine intelligence)
[2016, 38(6):1126-1140]

Cited: 2 times

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Tree-based Morse regions: a topological approach to local feature detection.

Yongchao Xu, Pascal Monasse, Thierry Géraud, Laurent Najman,

This paper introduces a topological approach to local invariant feature detection motivated by Morse theory. We use the critical points of the graph of the intensity image, revealing directly the topology information as initial interest points. Critical points are selected from what we call a tree-based shape-space. In particular, they ... Read more >>

IEEE Trans Image Process (IEEE transactions on image processing : a publication of the IEEE Signal Processing Society)
[2014, 23(12):5612-5625]

Cited: 4 times

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[Clinical effects of pedicled omentum covering and wrapping the ureteral anastomosis to prevent ureteral anastomotic leakage after surgery of abdominal and pelvic tumors].

Gangcheng Wang, Guangsen Han, Yingkun Ren, Yong Cheng, Yongchao Xu, Yuzhou Zhao, Jian Zhang, Chaomin Lu,

OBJECTIVE: To explore the clinical effects of pedicled omentum covering and wrapping the ureteral anastomosis to prevent ureteral anastomotic leakage after surgery of abdominal and pelvic tumors. METHODS: Clinical data of 64 patients with ureteral anastomosis after surgery of abdominal and pelvic tumors treated in our department from May 2005 ... Read more >>

Zhonghua Zhong Liu Za Zhi (Zhonghua zhong liu za zhi [Chinese journal of oncology])
[2014, 36(3):232-235]

Cited: 1 time

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