A survey and analysis of task allocation algorithms in multi-robot systems. - Xiao Jia 005; Max Q.-H. Meng (ROBIO, 2013)

A deep convolutional neural network for bleeding detection in Wireless Capsule Endoscopy images. - Xiao Jia 005; Max Q.-H. Meng (EMBC, 2016)

GI bleeding detection in wireless capsule endoscopy images based on pattern recognition and a MapReduce framework. - Xiao Jia 005; Lipeng Cai; Jing Liu; Wenxuan Dai; Max Q.-H. Meng (RCAR, 2016)

Gastrointestinal bleeding detection in wireless capsule endoscopy images using handcrafted and CNN features. - Xiao Jia 005; Max Q.-H. Meng (EMBC, 2017)

A study on automated segmentation of blood regions in Wireless Capsule Endoscopy images using fully convolutional networks. - Xiao Jia 005; Max Q.-H. Meng (ISBI, 2017)

Bleeding Detection in Wireless Capsule Endoscopy Image Video Using Superpixel-Color Histogram and a Subspace KNN Classifier. - Xiaohan Xing; Xiao Jia 005; Max Q.-H. Meng (EMBC, 2018)

A Density Map Estimation Model with DropBlock Regularization for Clustered-Fruit Counting. - Xiaochun Mai; Xiao Jia 005; Xiaoling Deng; Max Q.-H. Meng (IROS, 2019)

A Saliency-Aware Hybrid Dense Network for Bleeding Detection in Wireless Capsule Endoscopy Images. - Xiaohan Xing; Yixuan Yuan; Xiao Jia 005; Max Q.-H. Meng (ISBI, 2019)

Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications. - Hyunseok Seo; Masoud Badiei Khuzani; Varun Vasudevan; Charles W. Huang; Hongyi Ren; Ruoxiu Xiao; Xiao Jia 005; Lei Xing 001 (CoRR, 2019)

Wireless Capsule Endoscopy: A New Tool for Cancer Screening in the Colon With Deep-Learning-Based Polyp Recognition. - Xiao Jia 005; Xiaohan Xing; Yixuan Yuan; Lei Xing 001; Max Q.-H. Meng (Proc. IEEE, 2020)

Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction. - Xiao Jia 005; Xiaochun Mai; Yi Cui 002; Yixuan Yuan; Xiaohan Xing; Hyunseok Seo; Lei Xing 001; Max Q.-H. Meng (IEEE Trans Autom. Sci. Eng., 2020)

Faster R-CNN With Classifier Fusion for Automatic Detection of Small Fruits. - Xiaochun Mai; Hong Zhang 013; Xiao Jia 005; Max Q.-H. Meng (IEEE Trans Autom. Sci. Eng., 2020)

APRNet: Alternative Prediction Refinement Network for Polyp Segmentation. - Yantao Shen 002; Xiao Jia 005; Jin Pan; Max Q.-H. Meng (EMBC, 2021)

Multibranch Learning for Angiodysplasia Segmentation with Attention-Guided Networks and Domain Adaptation. - Xiao Jia 005; Xiaochun Mai; Xiaohan Xing; Yantao Shen 002; Jiankun Wang 001; Max Q.-H. Meng (ICRA, 2021)

HRENet: A Hard Region Enhancement Network for Polyp Segmentation. - Yantao Shen 002; Xiao Jia 005; Max Q.-H. Meng (MICCAI (1), 2021)

Task-Relevant Feature Replenishment for Cross-Centre Polyp Segmentation. - Yantao Shen 002; Ye Lu; Xiao Jia 005; Fan Bai 008; Max Q.-H. Meng (MICCAI (4), 2022)

An Efficient Framework for Video Documentation of Bladder Lesions for Cystoscopy: A Proof-of-Concept Study. - Okyaz Eminaga; T. Jessie Ge; Eugene Shkolyar; Mark A. Laurie; Timothy J. Lee; Lukas Hockman; Xiao Jia 005; Lei Xing 001; Joseph C. Liao (J. Medical Syst., 2022)

Deep Neural Network Enhanced Sampling-Based Path Planning in 3D Space. - Jiankun Wang 001; Xiao Jia 005; Tianyi Zhang; Nachuan Ma; Max Q.-H. Meng (IEEE Trans Autom. Sci. Eng., 2022)

PolypMixNet: Enhancing semi-supervised polyp segmentation with polyp-aware augmentation. - Xiao Jia 005; Yutian Shen; Jianhong Yang; Ran Song 001; Wei Zhang 021; Max Q.-H. Meng; Joseph C. Liao; Lei Xing 001 (Comput. Biol. Medicine, 2024)