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ORCIDXiao Jia 0005
Person information
- affiliation: Stanford University, School of Medicine, Department of Radiation Oncology, CA, USA
- affiliation (PhD 2020): Chinese University of Hong Kong, Department of Electronic Engineering, Hong Kong
Other persons with the same name
- Xiao Jia 0001 — Shanghai Jiao Tong University, China
- Xiao Jia 0002 — National University of Singapore, Singapore
- Xiao Jia 0003 — Shanghai Jiao Tong University, China
- Xiao Jia 0004 — Nanyang Normal University, Department of Computer Software, China
- Xiao Jia 0006 — Chinese Academy of Sciences, Institute of Electronics, Beijing, China
- Xiao Jia 0007 — Dalian Maritime University, School of Information Science and Technology, China
- Xiao Jia 0008 — Rocket Force University of Engineering, Xi'an, China
- Xiao Jia 0009
![[0000-0003-4080-3281]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-4080-3281")
— Beijing Jiaotong University, School of Electronic and Information Engineering, China (and 1 more) - Xiao Jia 0010 — Nanyang Institute of Technology, School of Electronic and Electrical Engineering, China
- Xiao Jia 0011 — University of Science and Technology Beijing, School of Computer and Communication Engineering, China
- Xiao Jia 0012 — Tsinghua University, School of Economics and Management, Beijing, China
- Xiao Jia 0013 — University of Berlin, Department of Mathematics and Computer Science, Germany
- Xiao Jia 0014 — Nanyang Normal University, School of Computer Science and Technology, China (and 1 more)
- Xiao Jia 0015 — Minnan Normal University, School of Computer Science, Zhangzhou, China (and 1 more)
- Xiao Jia 0016 — Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Xiao Jia 0017 — Chinese Academy of Agricultural Sciences, Institute of Crop Science, Beijing, China
- Xiao Jia 0018 — Jiangxing Intelligence inc., Shenzhen, China
- Xiao Jia 0019 — Hohai University, College of Computer and Information, Nanjing, China
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Journal Articles
- 2024
[j6]Xiao Jia, Yutian Shen, Jianhong Yang, Ran Song, Wei Zhang, Max Q.-H. Meng, Joseph C. Liao, Lei Xing:
PolypMixNet: Enhancing semi-supervised polyp segmentation with polyp-aware augmentation. Comput. Biol. Medicine 170: 108006 (2024)- 2022
- [j5]Okyaz Eminaga, T. Jessie Ge, Eugene Shkolyar, Mark A. Laurie, Timothy J. Lee, Lukas Hockman, Xiao Jia, Lei Xing, Joseph C. Liao:
An Efficient Framework for Video Documentation of Bladder Lesions for Cystoscopy: A Proof-of-Concept Study. J. Medical Syst. 46(11): 73 (2022) - [j4]Jiankun Wang, Xiao Jia, Tianyi Zhang, Nachuan Ma, Max Q.-H. Meng:
Deep Neural Network Enhanced Sampling-Based Path Planning in 3D Space. IEEE Trans Autom. Sci. Eng. 19(4): 3434-3443 (2022) - 2020
- [j3]Xiao Jia, Xiaohan Xing, Yixuan Yuan, Lei Xing, Max Q.-H. Meng:
Wireless Capsule Endoscopy: A New Tool for Cancer Screening in the Colon With Deep-Learning-Based Polyp Recognition. Proc. IEEE 108(1): 178-197 (2020) - [j2]Xiaochun Mai, Hong Zhang, Xiao Jia, Max Q.-H. Meng:
Faster R-CNN With Classifier Fusion for Automatic Detection of Small Fruits. IEEE Trans Autom. Sci. Eng. 17(3): 1555-1569 (2020) - [j1]Xiao Jia, Xiaochun Mai, Yi Cui, Yixuan Yuan, Xiaohan Xing, Hyunseok Seo, Lei Xing, Max Q.-H. Meng:
Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction. IEEE Trans Autom. Sci. Eng. 17(3): 1570-1584 (2020)
Conference and Workshop Papers
- 2022
- [c12]Yantao Shen, Ye Lu, Xiao Jia, Fan Bai, Max Q.-H. Meng:
Task-Relevant Feature Replenishment for Cross-Centre Polyp Segmentation. MICCAI (4) 2022: 599-608 - 2021
- [c11]Yantao Shen, Xiao Jia, Jin Pan, Max Q.-H. Meng:
APRNet: Alternative Prediction Refinement Network for Polyp Segmentation. EMBC 2021: 3114-3117 - [c10]Xiao Jia, Xiaochun Mai, Xiaohan Xing, Yantao Shen, Jiankun Wang, Max Q.-H. Meng:
Multibranch Learning for Angiodysplasia Segmentation with Attention-Guided Networks and Domain Adaptation. ICRA 2021: 12373-12379 - [c9]Yantao Shen, Xiao Jia, Max Q.-H. Meng:
HRENet: A Hard Region Enhancement Network for Polyp Segmentation. MICCAI (1) 2021: 559-568 - 2019
- [c8]Xiaochun Mai, Xiao Jia, Xiaoling Deng, Max Q.-H. Meng:
A Density Map Estimation Model with DropBlock Regularization for Clustered-Fruit Counting. IROS 2019: 5512-5519 - [c7]Xiaohan Xing, Yixuan Yuan, Xiao Jia, Max Q.-H. Meng:
A Saliency-Aware Hybrid Dense Network for Bleeding Detection in Wireless Capsule Endoscopy Images. ISBI 2019: 104-107 - 2018
- [c6]Xiaohan Xing, Xiao Jia, Max Q.-H. Meng:
Bleeding Detection in Wireless Capsule Endoscopy Image Video Using Superpixel-Color Histogram and a Subspace KNN Classifier. EMBC 2018: 1-4 - 2017
- [c5]Xiao Jia, Max Q.-H. Meng:
Gastrointestinal bleeding detection in wireless capsule endoscopy images using handcrafted and CNN features. EMBC 2017: 3154-3157 - [c4]Xiao Jia, Max Q.-H. Meng:
A study on automated segmentation of blood regions in Wireless Capsule Endoscopy images using fully convolutional networks. ISBI 2017: 179-182 - 2016
- [c3]Xiao Jia, Max Q.-H. Meng:
A deep convolutional neural network for bleeding detection in Wireless Capsule Endoscopy images. EMBC 2016: 639-642 - [c2]Xiao Jia, Lipeng Cai, Jing Liu, Wenxuan Dai, Max Q.-H. Meng:
GI bleeding detection in wireless capsule endoscopy images based on pattern recognition and a MapReduce framework. RCAR 2016: 266-271 - 2013
- [c1]Xiao Jia, Max Q.-H. Meng:
A survey and analysis of task allocation algorithms in multi-robot systems. ROBIO 2013: 2280-2285
Informal and Other Publications
- 2019
- [i1]Hyunseok Seo, Masoud Badiei Khuzani, Varun Vasudevan, Charles W. Huang, Hongyi Ren, Ruoxiu Xiao, Xiao Jia, Lei Xing:
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications. CoRR abs/1911.02521 (2019)
Coauthor Index
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last updated on 2024-08-05 20:23 CEST by the dblp team
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