Ruobing Huang

According to our database, Ruobing Huang authored at least 31 papers between 2014 and 2024.

Collaborative distances:

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

2024

Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification.

Xinrui Zhou, Yuhao Huang, Haoran Dou, Shijing Chen, Ao Chang, Jia Liu, Weiran Long, Jian Zheng, Erjiao Xu, Jie Ren, Ruobing Huang, Jun Cheng, Wufeng Xue, Dong Ni

CoRR, 2024

One-Stop Automated Diagnostic System for Carpal Tunnel Syndrome in Ultrasound Images Using Deep Learning.

Jiayu Peng, Jiajun Zeng, Manlin Lai, Ruobing Huang, Dong Ni, Zhenzhou Li

CoRR, 2024

An efficient framework for lesion segmentation in ultrasound images using global adversarial learning and region-invariant loss.

Van Manh, Xiaohong Jia, Wufeng Xue, Wenwen Xu, Zihan Mei, Yijie Dong, Jianqiao Zhou, Ruobing Huang, Dong Ni

Comput. Biol. Medicine, 2024

Multi-purposed diagnostic system for ovarian endometrioma using CNN and transformer networks in ultrasound.

Yishuo Li, Baihua Zhao, Lieming Wen, Ruobing Huang, Dong Ni

Biomed. Signal Process. Control., 2024

EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation.

Ao Chang, Jiajun Zeng, Ruobing Huang, Dong Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Is Two-Shot All You Need? A Label-Efficient Approach for Video Segmentation in Breast Ultrasound.

Jiajun Zeng, Dong Ni, Ruobing Huang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Triaug: Out-Of-Distribution Detection for Imbalanced Breast Lesion in Ultrasound.

Yinyu Ye, Shijing Chen, Dong Ni, Ruobing Huang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation.

Ao Chang, Xing Tao, Xin Yang, Yuhao Huang, Xinrui Zhou, Jiajun Zeng, Ruobing Huang, Dong Ni

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Hierarchical Agent-Based Reinforcement Learning Framework for Automated Quality Assessment of Fetal Ultrasound Video.

Sijing Liu, Qilong Ying, Shuangchi He, Xin Yang, Dong Ni, Ruobing Huang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

BEAN: Brain Extraction and Alignment Network for 3D Fetal Neurosonography.

Felipe Moser, Ruobing Huang, INTERGROWTH-21 Consortium, Bartlomiej W. Papiez, Ana I. L. Namburete

NeuroImage, 2022

Extracting keyframes of breast ultrasound video using deep reinforcement learning.

Ruobing Huang, Qilong Ying, Zehui Lin, Zijie Zheng, Long Tan, Guoxue Tang, Qi Zhang, Man Luo, Xiuwen Yi, Pan Liu, Weiwei Pan, Jiayi Wu, Baoming Luo, Dong Ni

Medical Image Anal., 2022

Boundary-rendering network for breast lesion segmentation in ultrasound images.

Ruobing Huang, Mingrong Lin, Haoran Dou, Zehui Lin, Qilong Ying, Xiaohong Jia, Wenwen Xu, Zihan Mei, Xin Yang, Yijie Dong, Jianqiao Zhou, Dong Ni

Medical Image Anal., 2022

HASA: Hybrid architecture search with aggregation strategy for echinococcosis classification and ovary segmentation in ultrasound images.

Jikuan Qian, Rui Li, Xin Yang, Yuhao Huang, Mingyuan Luo, Zehui Lin, Wenhui Hong, Ruobing Huang, Haining Fan, Dong Ni, Jun Cheng

Expert Syst. Appl., 2022

Masked Video Modeling with Correlation-Aware Contrastive Learning for Breast Cancer Diagnosis in Ultrasound.

Zehui Lin, Ruobing Huang, Dong Ni, Jiayi Wu, Baoming Luo

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Personalized Diagnostic Tool for Thyroid Cancer Classification Using Multi-view Ultrasound.

Han Huang, Yijie Dong, Xiaohong Jia, Jianqiao Zhou, Dong Ni, Jun Cheng, Ruobing Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Fine-Grained Correlation Loss for Regression.

Chaoyu Chen, Xin Yang, Ruobing Huang, Xindi Hu, Yankai Huang, Xiduo Lu, Xinrui Zhou, Mingyuan Luo, Yinyu Ye, Xue Shuang, Juzheng Miao, Yi Xiong, Dong Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Agent With Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound.

Xin Yang, Haoran Dou, Ruobing Huang, Wufeng Xue, Yuhao Huang, Jikuan Qian, Yuanji Zhang, Huanjia Luo, Huizhi Guo, Tianfu Wang, Yi Xiong, Dong Ni

IEEE Trans. Medical Imaging, 2021

Searching collaborative agents for multi-plane localization in 3D ultrasound.

Xin Yang, Yuhao Huang, Ruobing Huang, Haoran Dou, Rui Li, Jikuan Qian, Xiaoqiong Huang, Wenlong Shi, Chaoyu Chen, Yuanji Zhang, Haixia Wang, Yi Xiong, Dong Ni

Medical Image Anal., 2021

Modality alignment contrastive learning for severity assessment of COVID-19 from lung ultrasound and clinical information.

Wufeng Xue, Chunyan Cao, Jie Liu, Yilian Duan, Haiyan Cao, Jian Wang, Xumin Tao, Zejian Chen, Meng Wu, Jinxiang Zhang, Hui Sun, Yang Jin, Xin Yang, Ruobing Huang, Feixiang Xiang, Yue Song, Manjie You, Wen Zhang, Mingxing Xie

Medical Image Anal., 2021

AW3M: An auto-weighting and recovery framework for breast cancer diagnosis using multi-modal ultrasound.

Ruobing Huang, Zehui Lin, Haoran Dou, Jian Wang, Juzheng Miao, Guangquan Zhou, Xiaohong Jia, Wenwen Xu, Zihan Mei, Yijie Dong, Xin Yang, Jianqiao Zhou, Dong Ni

Medical Image Anal., 2021

Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound.

Shuangchi He, Zehui Lin, Xin Yang, Chaoyu Chen, Jian Wang, Xue Shuang, Ziwei Deng, Qin Liu, Yan Cao, Xiduo Lu, Ruobing Huang, Nishant Ravikumar, Alejandro Frangi, Yuanji Zhang, Yi Xiong, Dong Ni

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020

Bridge Segmentation Performance Gap Via Evolving Shape Prior.

Chaoyu Chen, Xin Yang, Haoran Dou, Ruobing Huang, Xiaoqiong Huang, Xu Wang, Chong Duan, Shengli Li, Wufeng Xue, Pheng-Ann Heng, Dong Ni

IEEE Access, 2020

Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound.

Jian Wang, Juzheng Miao, Xin Yang, Rui Li, Guangquan Zhou, Yuhao Huang, Zehui Lin, Wufeng Xue, Xiaohong Jia, Jianqiao Zhou, Ruobing Huang, Dong Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Contrastive Rendering for Ultrasound Image Segmentation.

Haoming Li, Xin Yang, Jiamin Liang, Wenlong Shi, Chaoyu Chen, Haoran Dou, Rui Li, Rui Gao, Guangquan Zhou, Jinghui Fang, Xiaowen Liang, Ruobing Huang, Alejandro Frangi, Zhiyi Chen, Dong Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Region Proposal Network with Graph Prior and Iou-Balance Loss for Landmark Detection in 3D Ultrasound.

Chaoyu Chen, Xin Yang, Ruobing Huang, Wenlong Shi, Shengfeng Liu, Mingrong Lin, Yuhao Huang, Yong Yang, Yuanji Zhang, Huanjia Luo, Yankai Huang, Yi Xiong, Dong Ni

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Automated Fetal Brain Extraction from Clinical Ultrasound Volumes Using 3D Convolutional Neural Networks.

Felipe Moser, Ruobing Huang, Aris T. Papageorghiou, Bartlomiej W. Papiez, Ana I. L. Namburete

Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

An Automated CNN-based 3D Anatomical Landmark Detection Method to Facilitate Surface-Based 3D Facial Shape Analysis.

Ruobing Huang, Michael Suttie, J. Alison Noble

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

2018

VP-Nets : Efficient automatic localization of key brain structures in 3D fetal neurosonography.

Ruobing Huang, Weidi Xie, J. Alison Noble

Medical Image Anal., 2018

Omni-Supervised Learning: Scaling Up to Large Unlabelled Medical Datasets.

Ruobing Huang, J. Alison Noble, Ana I. L. Namburete

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2015

Automated Mid-sagittal Plane Selection for Corpus Callosum Visualization in 3D Ultrasound Images.

Ruobing Huang, Ana I. L. Namburete, Mohammad Yaqub, J. Alison Noble

Proceedings of the Medical Image Understanding and Analysis, 2015

2014

Modeling and Characterization of the Implant Intra-Body Communication Based on Capacitive Coupling Using a Transfer Function Method.

Kai Zhang, Qun Hao, Yong Song, Jingwen Wang, Ruobing Huang, Yue Liu

Sensors, 2014