Feihong Liu

According to our database, Feihong Liu authored at least 29 papers between 2012 and 2024.

Collaborative distances:

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

2024

Structure-Aware Registration Network for Liver DCE-CT Images.

Peng Xue, Jingyang Zhang, Lei Ma, Mianxin Liu, Yuning Gu, Jiawei Huang, Feihong Liu, Yongsheng Pan, Xiaohuan Cao, Dinggang Shen

IEEE J. Biomed. Health Informatics, April, 2024

GO: A two-step generative optimization method for point cloud registration.

Yan Zhao, Jiahui Deng, Feihong Liu, Wen Tang, Jun Feng

Comput. Graph., 2024

UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation.

Jiameng Liu, Feihong Liu, Kaicong Sun, Yuhang Sun, Jiawei Huang, Caiwen Jiang, Islem Rekik, Dinggang Shen

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

Accelerating DWI Data Acquisition: Reconstruction Using Graph-Driven Denoising Diffusion Probabilistic Model.

Zhongrui Huang, Caiwen Jiang, Jinchen Gu, Xinyi Cai, Han Zhang, Feihong Liu, Dinggang Shen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Auditory Fiber Bundle Parcellation using Text-Prompted Decomposition Networks.

Jinchen Gu, Yaoxuan Wang, Caiwen Jiang, Jiameng Liu, Yuting Zhu, Mengda Jiang, Zhaoyan Wang, Feihong Liu, Hao Wu, Dinggang Shen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast.

Junwei Yang, Xiao-Xin Li, Feihong Liu, Dong Nie, Pietro Liò, Haikun Qi, Dinggang Shen

IEEE Trans. Medical Imaging, May, 2023

Does perfect filtering really guarantee perfect phase correction for diffusion MRI data?

Feihong Liu, Junwei Yang, Mingyue Feng, Zhiming Cui, Xiaowei He, Luping Zhou, Jun Feng, Dinggang Shen

Comput. Medical Imaging Graph., 2023

Regionalized Infant Brain Cortical Development Based on Multi-view, High-Level fMRI Fingerprint.

Tianli Tao, Jiawei Huang, Feihong Liu, Mianxin Liu, Liang-hu Guo, Xinyi Cai, Zhuoyang Gu, Haifeng Tang, Rui Zhou, Siyan Han, Lixuan Zhu, Qing Yang, Dinggang Shen, Han Zhang

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

Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance.

Yuhang Sun, Jiameng Liu, Feihong Liu, Kaicong Sun, Han Zhang, Feng Shi, Qianjin Feng, Dinggang Shen

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

Identifying Alzheimer's Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks.

Feihong Liu, Yongsheng Pan, Junwei Yang, Fang Xie, Xiaowei He, Han Zhang, Feng Shi, Jun Feng, Qihao Guo, Dinggang Shen

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

SPR-Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases.

Xiao Zhang, Feihong Liu, Yuning Gu, Xiaosong Xiong, Caiwen Jiang, Jun Feng, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction.

Yongsheng Pan, Feihong Liu, Caiwen Jiang, Jiawei Huang, Yong Xia, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Adult-Like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation.

Jiameng Liu, Feihong Liu, Kaicong Sun, Mianxin Liu, Yuhang Sun, Yuyan Ge, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

A Novel Encoding and Decoding Calibration Guiding Pathway for Pathological Image Analysis.

Hansheng Li, Jianping Li, Yuxin Kang, Chunbao Wang, Feihong Liu, Wenli Hui, Qirong Bo, Lei Cui, Jun Feng, Lin Yang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation.

Yuxin Kang, Hansheng Li, Xuan Zhao, Dongqing Hu, Feihong Liu, Lei Cui, Jun Feng, Lin Yang

CoRR, 2022

Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation.

Yuxin Kang, Hansheng Li, Xuan Zhao, Xiaoshuang Shi, Feihong Liu, Qingguo Yan, Ying Guo, Lei Cui, Jun Feng, Lin Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Gaussianization of Diffusion MRI Data Using Spatially Adaptive Filtering.

Feihong Liu, Jun Feng, Geng Chen, Dinggang Shen, Pew-Thian Yap

Medical Image Anal., 2021

Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI.

Junwei Yang, Xiao-Xin Li, Feihong Liu, Dong Nie, Pietro Liò, Haikun Qi, Dinggang Shen

CoRR, 2021

Is Perfect Filtering Enough Leading to Perfect Phase Correction for dMRI data?

Feihong Liu, Junwei Yang, Xiaowei He, Luping Zhou, Jun Feng, Dinggang Shen

CoRR, 2021

SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images.

Mengkang Lu, Yongsheng Pan, Dong Nie, Feihong Liu, Feng Shi, Yong Xia, Dinggang Shen

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

Boosting Boundary Representation for Gland Instance Segmentation.

Yuxin Kang, Hansheng Li, Zhuoyue Wu, Feihong Liu, Dongqing Hu, Lei Cui, Jun Feng, Lin Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Context-Aware Superpixel and Bilateral Entropy - Image Coherence Induces Less Entropy.

Feihong Liu, Xiao Zhang, Hongyu Wang, Jun Feng

Entropy, 2020

2019

Multi-Kernel Filtering: An Extension of Bilateral Filtering Using Image Context.

Feihong Liu, Jun Feng, Pew-Thian Yap, Dinggang Shen

CoRR, 2019

DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks.

Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen

Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

Global Bank: A Guided Pathway of Encoding and Decoding for Pathological Image Analysis.

Hansheng Li, Jun Feng, Baosheng Kang, Yuxin Kang, Feihong Liu, Wenli Hui, Qirong Bo, Chunbao Wang, Lin Yang, Lei Cui

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2017

Normalized Euclidean Super-Pixels for Medical Image Segmentation.

Feihong Liu, Jun Feng, Wenhuo Su, Zhaohui Lv, Fang Xiao, Shi Qiu

Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017

An Accelerated Superpixel Generation Algorithm Based on 4-Labeled-Neighbors.

Hongwei Feng, Fang Xiao, Qirong Bu, Feihong Liu, Lei Cui, Jun Feng

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2015

Multi-object Segmentation for Abdominal CT Image Based on Visual Patch Classification.

Pan Li, Jun Feng, Qirong Bu, Feihong Liu, Hongyu Wang

Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2012

Analysis of influential factors for weathering of stone relics.

Feihong Liu, Charlene Xie, Li Zhong, Dixi Song

Proceedings of the Fourth International Conference on Digital Image Processing, 2012