Xiao Jia

Orcid: 0000-0002-9426-0051

Affiliations:
  • Stanford University, School of Medicine, Department of Radiation Oncology, CA, USA
  • Chinese University of Hong Kong, Department of Electronic Engineering, Hong Kong (PhD 2020)


According to our database1, Xiao Jia authored at least 19 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
PolypMixNet: Enhancing semi-supervised polyp segmentation with polyp-aware augmentation.
Comput. Biol. Medicine, March, 2024

2022
Deep Neural Network Enhanced Sampling-Based Path Planning in 3D Space.
IEEE Trans Autom. Sci. Eng., 2022

An Efficient Framework for Video Documentation of Bladder Lesions for Cystoscopy: A Proof-of-Concept Study.
J. Medical Syst., 2022

Task-Relevant Feature Replenishment for Cross-Centre Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
HRENet: A Hard Region Enhancement Network for Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multibranch Learning for Angiodysplasia Segmentation with Attention-Guided Networks and Domain Adaptation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

APRNet: Alternative Prediction Refinement Network for Polyp Segmentation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Faster R-CNN With Classifier Fusion for Automatic Detection of Small Fruits.
IEEE Trans Autom. Sci. Eng., 2020

Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction.
IEEE Trans Autom. Sci. Eng., 2020

Wireless Capsule Endoscopy: A New Tool for Cancer Screening in the Colon With Deep-Learning-Based Polyp Recognition.
Proc. IEEE, 2020

2019
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications.
CoRR, 2019

A Saliency-Aware Hybrid Dense Network for Bleeding Detection in Wireless Capsule Endoscopy Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A Density Map Estimation Model with DropBlock Regularization for Clustered-Fruit Counting.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
Bleeding Detection in Wireless Capsule Endoscopy Image Video Using Superpixel-Color Histogram and a Subspace KNN Classifier.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
A study on automated segmentation of blood regions in Wireless Capsule Endoscopy images using fully convolutional networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Gastrointestinal bleeding detection in wireless capsule endoscopy images using handcrafted and CNN features.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
GI bleeding detection in wireless capsule endoscopy images based on pattern recognition and a MapReduce framework.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2016

A deep convolutional neural network for bleeding detection in Wireless Capsule Endoscopy images.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2013
A survey and analysis of task allocation algorithms in multi-robot systems.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013


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