Hangfan Liu

According to our database, Hangfan Liu authored at least 33 papers between 2014 and 2023.

Collaborative distances:

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

2023

ADCoC: Adaptive Distribution Modeling Based Collaborative Clustering for Disentangling Disease Heterogeneity from Neuroimaging Data.

Hangfan Liu, Michel J. Grothe, Tanweer Rashid, Miguel A. Labrador-Espinosa, Jon B. Toledo, Mohamad Habes

IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

Learning to Super-resolve Dynamic Scenes for Neuromorphic Spike Camera.

Jing Zhao, Ruiqin Xiong, Jian Zhang, Rui Zhao, Hangfan Liu, Tiejun Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

COLA-Net: Collaborative Attention Network for Image Restoration.

Chong Mou, Jian Zhang, Xiaopeng Fan, Hangfan Liu, Ronggang Wang

IEEE Trans. Multim., 2022

Deep Learning Based Detection of Enlarged Perivascular Spaces on Brain MRI.

Tanweer Rashid, Hangfan Liu, Jeffrey B. Ware, Karl Li, Jose Rafael Romero, Elyas Fadaee, Ilya M. Nasrallah, Saima Hilal, R. Nick Bryan, Timothy M. Hughes, Christos Davatzikos, Lenore J. Launer, Sudha Seshadri, Susan R. Heckbert, Mohamad Habes

CoRR, 2022

Collaborative Clustering Based on Adaptive Laplace Modeling for Neuroimaging Data Analysis.

Hangfan Liu, Karl Li, Jon B. Toledo, Mohamad Habes

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021

CAS: Correlation Adaptive Sparse Modeling for Image Denoising.

Hangfan Liu, Jian Zhang, Ruiqin Xiong

IEEE Trans. Computational Imaging, 2021

Enhancing Low-Light Color Image via L₀ Regularization and Reweighted Group Sparsity.

Qiang Song, Hangfan Liu

IEEE Access, 2021

Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds.

Hangfan Liu, Tanweer Rashid, Jeffrey B. Ware, Paul Jensen, Thomas Austin, Ilya M. Nasrallah, Robert B. Fisher, Susan R. Heckbert, Mohamad Habes

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Image Denoising Based on Correlation Adaptive Sparse Modeling.

Hangfan Liu, Jian Zhang, Chong Mou

Proceedings of the IEEE International Conference on Acoustics, 2021

Spk2ImgNet: Learning To Reconstruct Dynamic Scene From Continuous Spike Stream.

Jing Zhao, Ruiqin Xiong, Hangfan Liu, Jian Zhang, Tiejun Huang

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

2020

Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis.

Hangfan Liu, Hongming Li, Mohamad Habes, Yuemeng Li, Pamela Boimel, James Janopaul-Naylor, Ying Xiao, Edgar Ben-Josef, Yong Fan

IEEE Trans. Biomed. Eng., 2020

Image denoising via structure-constrained low-rank approximation.

Yongqin Zhang, Ruiwen Kang, Xianlin Peng, Jun Wang, Jihua Zhu, Jinye Peng, Hangfan Liu

Neural Comput. Appl., 2020

TGA: Two-level Group Attention for Assembly State Detection.

Hangfan Liu, Yongzhi Su, Jason R. Rambach, Alain Pagani, Didier Stricker

Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2020

Cerebral Microbleed Detection Via Fourier Descriptor with Dual Domain Distribution Modeling.

Hangfan Liu, Tanweer Rashid, Mohamad Habes

Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

2019

CG-Cast: Scalable Wireless Image SoftCast Using Compressive Gradient.

Hangfan Liu, Ruiqin Xiong, Xiaopeng Fan, Debin Zhao, Yongbing Zhang, Wen Gao

IEEE Trans. Circuits Syst. Video Technol., 2019

Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation.

Yuemeng Li, Hangfan Liu, Hongming Li, Yong Fan

CoRR, 2019

DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection.

Yuemeng Li, Hangfan Liu, Yong Fan

CoRR, 2019

Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging.

Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Hangfan Liu, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan

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

Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis.

Hangfan Liu, Hongming Li, Yuemeng Li, Shi Yin, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan

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

Collaborative Clustering Of Subjects And Radiomic Features For Predicting Clinical Outcomes Of Rectal Cancer Patients.

Hangfan Liu, Hongming Li, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan

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

2018

Image Denoising via Low Rank Regularization Exploiting Intra and Inter Patch Correlation.

Hangfan Liu, Ruiqin Xiong, Dong Liu, Siwei Ma, Feng Wu, Wen Gao

IEEE Trans. Circuits Syst. Video Technol., 2018

2017

Nonlocal Gradient Sparsity Regularization for Image Restoration.

Hangfan Liu, Ruiqin Xiong, Xinfeng Zhang, Yongbing Zhang, Siwei Ma, Wen Gao

IEEE Trans. Circuits Syst. Video Technol., 2017

Image super-resolution based on adaptive joint distribution modeling.

Hangfan Liu, Ruiqin Xiong, Qiang Song, Feng Wu, Wen Gao

Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017

Low rank regularization exploiting intra and inter patch correlation for image denoising.

Hangfan Liu, Ruiqin Xiong, Dong Liu, Feng Wu, Wen Gao

Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017

Compressive gradient based scalable image SoftCast.

Hangfan Liu, Ruiqin Xiong, Xiaopeng Fan, Chong Luo, Wen Gao

Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017

Wireless Image SoftCast Using Compressive Gradient.

Hangfan Liu, Ruiqin Xiong, Xiaopeng Fan, Siwei Ma, Wen Gao

Proceedings of the 2017 Data Compression Conference, 2017

2016

Image Denoising via Bandwise Adaptive Modeling and Regularization Exploiting Nonlocal Similarity.

Ruiqin Xiong, Hangfan Liu, Xinfeng Zhang, Jian Zhang, Siwei Ma, Feng Wu, Wen Gao

IEEE Trans. Image Process., 2016

Content-adaptive low rank regularization for image denoising.

Hangfan Liu, Xinfeng Zhang, Ruiqin Xiong

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Image denoising via adaptive soft-thresholding based on non-local samples.

Hangfan Liu, Ruiqin Xiong, Jian Zhang, Wen Gao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Gradient based image/video softcast with grouped-patch collaborative reconstruction.

Hangfan Liu, Ruiqin Xiong, Siwei Ma, Xiaopeng Fan, Wen Gao

Proceedings of the 2014 IEEE Visual Communications and Image Processing Conference, 2014

Non-local extension of total variation regularization for image restoration.

Hangfan Liu, Ruiqin Xiong, Siwei Ma, Xiaopeng Fan, Wen Gao

Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Gradient based image transmission and reconstruction using non-local gradient sparsity regularization.

Hangfan Liu, Ruiqin Xiong, Siwei Ma, Xiaopeng Fan, Wen Gao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

G-CAST: Gradient Based Image SoftCast for Perception-Friendly Wireless Visual Communication.

Ruiqin Xiong, Hangfan Liu, Siwei Ma, Xiaopeng Fan, Feng Wu, Wen Gao

Proceedings of the Data Compression Conference, 2014