Juanying Xie

According to our database, Juanying Xie authored at least 36 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SFKNN-DPC: Standard deviation weighted distance based density peak clustering algorithm.

Juanying Xie, Xinglin Liu, Mingzhao Wang

Inf. Sci., January, 2024

2023

The nnU-Net based method for automatic segmenting fetal brain tissues.

Ying Peng, Yandi Xu, Mingzhao Wang, Huiquan Zhang, Juanying Xie

Health Inf. Sci. Syst., December, 2023

Unsupervised spectral feature selection algorithms for high dimensional data.

Mingzhao Wang, Henry Han, Zhao Huang, Juanying Xie

Frontiers Comput. Sci., October, 2023

Fetal brain tissue annotation and segmentation challenge results.

Kelly Payette, Hongwei Bran Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab

Medical Image Anal., August, 2023

DSSDPP: Data Selection and Sampling Based Domain Programming Predictor for Cross-Project Defect Prediction.

Zhiqiang Li, Hongyu Zhang, Xiao-Yuan Jing, Juanying Xie, Min Guo, Jie Ren

IEEE Trans. Software Eng., April, 2023

MRFB-Net for Identifying Butterfly Species Via Images Taken in the Field Environments.

Weixuan Kong, Meijun Yang, Jianyu Zhang, Gewei Zhao, Shengquan Xu, Juanying Xie

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

2022

DP-k-modes: A self-tuning k-modes clustering algorithm.

Juanying Xie, Mingzhao Wang, Xiaoxiao Lu, Xinglin Liu, Philip W. Grant

Pattern Recognit. Lett., 2022

KSRFB-net: detecting and identifying butterflies in ecological images based on human visual mechanism.

Juanying Xie, Weixuan Kong, Yinyuan Lu, Philip W. Grant, Shengquan Xu

Int. J. Mach. Learn. Cybern., 2022

Head and neck tumor segmentation in PET/CT: The HECKTOR challenge.

Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, Sarah Boughdad, Hesham Elhalawani, Joël Castelli, Martin Vallières, Simeng Zhu, Juanying Xie, Ying Peng, Andrei Iantsen, Mathieu Hatt, Yading Yuan, Jun Ma, Xiaoping Yang, Chinmay Rao, Suraj Pai, Kanchan Ghimire, Xue Feng, Mohamed A. Naser, Clifton D. Fuller, Fereshteh Yousefirizi, Arman Rahmim, Huai Chen, Lisheng Wang, John O. Prior, Adrien Depeursinge

Medical Image Anal., 2022

PSP-PJMI: An innovative feature representation algorithm for identifying DNA N4-methylcytosine sites.

Mingzhao Wang, Juanying Xie, Philip W. Grant, Shengquan Xu

Inf. Sci., 2022

Fetal Brain Tissue Annotation and Segmentation Challenge Results.

Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Weibin Liao, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab

CoRR, 2022

The Differential Gene Detecting Method for Identifying Leukemia Patients.

Mingzhao Wang, Weiliang Jiang, Juanying Xie

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

SDW-DPC: An Advanced Clustering Algorithm by Searching Density Peaks using Standard Deviation Weighted Distance.

Juanying Xie, Xinglin Liu, Mingzhao Wang, Wenjie Zhang

Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021

Investigations of butterfly species identification from images in natural environments.

Juanying Xie, Yinyuan Lu, Zhaozhong Wu, Shengquan Xu, Phil W. Grant

Int. J. Mach. Learn. Cybern., 2021

The Head and Neck Tumor Segmentation Based on 3D U-Net.

Juanying Xie, Ying Peng

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

2020

The Head and Neck Tumor Segmentation Using nnU-Net with Spatial and Channel 'Squeeze & Excitation' Blocks.

Juanying Xie, Ying Peng

Proceedings of the Head and Neck Tumor Segmentation - First Challenge, 2020

The Differential Feature Detection and the Clustering Analysis to Breast Cancers.

Juanying Xie, Zhaozhong Wu, Qin Xia, Lijuan Ding, Hamido Fujita

Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

2019

Colon cancer data analysis by chameleon algorithm.

Juanying Xie, Yuchen Wang, Zhaozhong Wu

Health Inf. Sci. Syst., 2019

A novel method detecting the key clinic factors of portal vein system thrombosis of splenectomy & cardia devascularization patients for cirrhosis & portal hypertension.

Mingzhao Wang, Linglong Ding, Meng Xu, Juanying Xie, Shengli Wu, Shengquan Xu, Yingmin Yao, Qingguang Liu

BMC Bioinform., 2019

2018

The Automatic Identification of Butterfly Species.

Juanying Xie, Qi Hou, Yinghuan Shi, Lv Peng, Liping Jing, Fuzhen Zhuang, Junping Zhang, Xiaoyang Tang, Shengquan Xu

CoRR, 2018

An Adaptive Clustering Algorithm by Finding Density Peaks.

Juanying Xie, Weiliang Jiang

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Connectivity Based Method for Clustering Microbial Communities from Metagenomics Data of Water and Soil Samples.

Jessica S. Rahman, Jinyan Li, Juanying Xie, Shoshana Fogelman, Michael Blumenstein

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Extreme Learning Machine Based Diagnosis Models for Erythemato-Squamous Diseases.

Juanying Xie, Xinyuan Ji, Mingzhao Wang

Proceedings of the Health Information Science - 7th International Conference, 2018

Local Standard Deviation Spectral Clustering.

Juanying Xie, Ying Zhou, Lijuan Ding

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017

Clustering by Searching Density Peaks via Local Standard Deviation.

Juanying Xie, Weiliang Jiang, Lijuan Ding

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

Granular Computing Combined with Support Vector Machines for Diagnosing Erythemato-Squamous Diseases.

Yongchao Wang, Juanying Xie

Proceedings of the Health Information Science - 6th International Conference, 2017

2016

Robust clustering by detecting density peaks and assigning points based on fuzzy weighted K-nearest neighbors.

Juanying Xie, Hongchao Gao, Weixin Xie, Xiaohui Liu, Philip W. Grant

Inf. Sci., 2016

Coordinating Discernibility and Independence Scores of Variables in a 2D Space for Efficient and Accurate Feature Selection.

Juanying Xie, Mingzhao Wang, Ying Zhou, Jinyan Li

Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016

Differential Feature Recognition of Breast Cancer Patients Based on Minimum Spanning Tree Clustering and F-statistics.

Juanying Xie, Ying Li, Ying Zhou, Mingzhao Wang

Proceedings of the Health Information Science - 5th International Conference, 2016

2015

A Stable Gene Subset Selection Algorithm for Cancers.

Juanying Xie, Hongchao Gao

Proceedings of the Health Information Science - 4th International Conference, 2015

2013

Extending twin support vector machine classifier for multi-category classification problems.

Juanying Xie, Kate S. Hone, Weixin Xie, Xinbo Gao, Yong Shi, Xiaohui Liu

Intell. Data Anal., 2013

Two-stage hybrid feature selection algorithms for diagnosing erythemato-squamous diseases.

Juanying Xie, Jinhu Lei, Weixin Xie, Yong Shi, Xiaohui Liu

Health Inf. Sci. Syst., 2013

2012

Novel Hybrid Feature Selection Algorithms for Diagnosing Erythemato-Squamous Diseases.

Juanying Xie, Jinhu Lei, Weixin Xie, Xinbo Gao, Yong Shi, Xiaohui Liu

Proceedings of the Health Information Science - First International Conference, 2012

2011

An Efficient Global K-means Clustering Algorithm.

Juanying Xie, Shuai Jiang, Weixin Xie, Xinbo Gao

J. Comput., 2011

Using support vector machines with a novel hybrid feature selection method for diagnosis of erythemato-squamous diseases.

Juanying Xie, Chunxia Wang

Expert Syst. Appl., 2011

2010

A Novel Hybrid Feature Selection Method Based on IFSFFS and SVM for the Diagnosis of Erythemato-Squamous Diseases.

Juanying Xie, Weixin Xie, Chunxia Wang, Xinbo Gao

Proceedings of the First Workshop on Applications of Pattern Analysis, 2010