Qiaoying Huang

According to our database, Qiaoying Huang authored at least 32 papers between 2015 and 2023.

Collaborative distances:

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

2023

SequenceMorph: A Unified Unsupervised Learning Framework for Motion Tracking on Cardiac Image Sequences.

Meng Ye, Dong Yang, Qiaoying Huang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

2021

Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images.

Jingru Yi, Pengxiang Wu, Hui Tang, Bo Liu, Qiaoying Huang, Hui Qu, Lianyi Han, Wei Fan, Daniel J. Hoeppner, Dimitris N. Metaxas

IEEE Trans. Medical Imaging, 2021

Dynamic MRI reconstruction with end-to-end motion-guided network.

Qiaoying Huang, Yikun Xian, Dong Yang, Hui Qu, Jingru Yi, Pengxiang Wu, Dimitris N. Metaxas

Medical Image Anal., 2021

Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors.

Jingru Yi, Pengxiang Wu, Bo Liu, Qiaoying Huang, Hui Qu, Dimitris N. Metaxas

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images.

Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images.

Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Zhennan Yan, Kang Li, Gregory M. Riedlinger, Subhajyoti De, Shaoting Zhang, Dimitris N. Metaxas

IEEE Trans. Medical Imaging, 2020

Neural-Symbolic Reasoning over Knowledge Graph for Multi-stage Explainable Recommendation.

Yikun Xian, Zuohui Fu, Qiaoying Huang, S. Muthukrishnan, Yongfeng Zhang

CoRR, 2020

Fairness-Aware Explainable Recommendation over Knowledge Graphs.

Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data.

Meng Ye, Qiaoying Huang, Dong Yang, Pengxiang Wu, Jingru Yi, Leon Axel, Dimitris N. Metaxas

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Enhanced MRI Reconstruction Network Using Neural Architecture Search.

Qiaoying Huang, Dong Yang, Yikun Xian, Pengxiang Wu, Jingru Yi, Hui Qu, Dimitris N. Metaxas

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks.

Qiaoying Huang, Eric Z. Chen, Hanchao Yu, Yimo Guo, Terrence Chen, Dimitris N. Metaxas, Shanhui Sun

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Vertebra-Focused Landmark Detection for Scoliosis Assessment.

Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Dimitris N. Metaxas

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

Mri-Based Characterization of Left Ventricle Dyssynchrony with Correlation to Crt Outcomes.

Dong Yang, Qiaoying Huang, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas

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

Nuclei Segmentation Using Mixed Points and Masks Selected From Uncertainty.

Hui Qu, Jingru Yi, Qiaoying Huang, Pengxiang Wu, Dimitris N. Metaxas

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

Cardiac MR Image Sequence Segmentation with Temporal Motion Encoding.

Pengxiang Wu, Qiaoying Huang, Jingru Yi, Hui Qu, Meng Ye, Leon Axel, Dimitris N. Metaxas

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation.

Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Attentive neural cell instance segmentation.

Jingru Yi, Pengxiang Wu, Menglin Jiang, Qiaoying Huang, Daniel J. Hoeppner, Dimitris N. Metaxas

Medical Image Anal., 2019

Weakly Supervised Deep Nuclei Segmentation using Points Annotation in Histopathology Images.

Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Gregory M. Riedlinger, Subhajyoti De, Dimitris N. Metaxas

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Dynamic MRI Reconstruction with Motion-Guided Network.

Qiaoying Huang, Dong Yang, Hui Qu, Jingru Yi, Pengxiang Wu, Dimitris N. Metaxas

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Multi-scale Cell Instance Segmentation with Keypoint Graph Based Bounding Boxes.

Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Brain Segmentation from k-Space with End-to-End Recurrent Attention Network.

Qiaoying Huang, Xiao Chen, Dimitris N. Metaxas, Mariappan S. Nadar

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Context-Refined Neural Cell Instance Segmentation.

Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Daniel J. Hoeppner, Dimitris N. Metaxas

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Deep Attentive Feature Learning for Histopathology Image Classification.

Pengxiang Wu, Hui Qu, Jingru Yi, Qiaoying Huang, Chao Chen, Dimitris N. Metaxas

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Joint Segmentation and Fine-Grained Classification of Nuclei in Histopathology Images.

Hui Qu, Gregory M. Riedlinger, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Subhajyoti De, Dimitris N. Metaxas

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

MRI Reconstruction Via Cascaded Channel-Wise Attention Network.

Qiaoying Huang, Dong Yang, Pengxiang Wu, Hui Qu, Jingru Yi, Dimitris N. Metaxas

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

FR-Net: Joint Reconstruction and Segmentation in Compressed Sensing Cardiac MRI.

Qiaoying Huang, Dong Yang, Jingru Yi, Leon Axel, Dimitris N. Metaxas

Proceedings of the Functional Imaging and Modeling of the Heart, 2019

Online Neural Cell Tracking Using Blob-Seed Segmentation and Optical Flow.

Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Daniel J. Hoeppner, Dimitris N. Metaxas

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

End-to-end Segmentation with Recurrent Attention Neural Network.

Qiaoying Huang, Xiao Chen, Mariappan S. Nadar

CoRR, 2018

Multi-component deformable models coupled with 2D-3D U-Net for automated probabilistic segmentation of cardiac walls and blood.

Dong Yang, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Learning Discriminative Subspace Models for Weakly Supervised Face Detection.

Qiaoying Huang, Chris Kui Jia, Xiaofeng Zhang, Yunming Ye

IEEE Trans. Ind. Informatics, 2017

2015

Weakly Supervised Object Class Learning Via Discriminative Subspace Models.

Qiaoying Huang, Kui Jia, Xiaofeng Zhang, Xishuang Han

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Subspace Model Based Discriminative Instances Selection for Weakly Supervised Object Detection.

Qiaoying Huang, Xiaofeng Zhang, Kui Jia, Xishuang Han, Yunming Ye

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015