G-CAST: Gradient Based Image SoftCast for Perception-Friendly Wireless Visual Communication. - Ruiqin Xiong; Hangfan Liu; Siwei Ma; Xiaopeng Fan; Feng Wu 001; Wen Gao 001 (DCC, 2014)

Gradient based image transmission and reconstruction using non-local gradient sparsity regularization. - Hangfan Liu; Ruiqin Xiong; Siwei Ma; Xiaopeng Fan; Wen Gao 001 (ICME, 2014)

Non-local extension of total variation regularization for image restoration. - Hangfan Liu; Ruiqin Xiong; Siwei Ma; Xiaopeng Fan; Wen Gao 001 (ISCAS, 2014)

Gradient based image/video softcast with grouped-patch collaborative reconstruction. - Hangfan Liu; Ruiqin Xiong; Siwei Ma; Xiaopeng Fan; Wen Gao 001 (VCIP, 2014)

Image denoising via adaptive soft-thresholding based on non-local samples. - Hangfan Liu; Ruiqin Xiong; Jian Zhang 018; Wen Gao 001 (CVPR, 2015)

Content-adaptive low rank regularization for image denoising. - Hangfan Liu; Xinfeng Zhang 001; Ruiqin Xiong (ICIP, 2016)

Image Denoising via Bandwise Adaptive Modeling and Regularization Exploiting Nonlocal Similarity. - Ruiqin Xiong; Hangfan Liu; Xinfeng Zhang 001; Jian Zhang 018; Siwei Ma; Feng Wu 001; Wen Gao 001 (IEEE Trans. Image Process., 2016)

Wireless Image SoftCast Using Compressive Gradient. - Hangfan Liu; Ruiqin Xiong; Xiaopeng Fan; Siwei Ma; Wen Gao 001 (DCC, 2017)

Compressive gradient based scalable image SoftCast. - Hangfan Liu; Ruiqin Xiong; Xiaopeng Fan; Chong Luo; Wen Gao 001 (VCIP, 2017)

Low rank regularization exploiting intra and inter patch correlation for image denoising. - Hangfan Liu; Ruiqin Xiong; Dong Liu 002; Feng Wu 001; Wen Gao 001 (VCIP, 2017)

Image super-resolution based on adaptive joint distribution modeling. - Hangfan Liu; Ruiqin Xiong; Qiang Song; Feng Wu 001; Wen Gao 001 (VCIP, 2017)

Nonlocal Gradient Sparsity Regularization for Image Restoration. - Hangfan Liu; Ruiqin Xiong; Xinfeng Zhang 001; Yongbing Zhang 002; Siwei Ma; Wen Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2017)

Image Denoising via Low Rank Regularization Exploiting Intra and Inter Patch Correlation. - Hangfan Liu; Ruiqin Xiong; Dong Liu 002; Siwei Ma; Feng Wu 001; Wen Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2018)

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 001 (ISBI, 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 001 (MICCAI (4), 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 001 (UNSURE/CLIP@MICCAI, 2019)

DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection. - Yuemeng Li; Hangfan Liu; Yong Fan 001 (CoRR, 2019)

Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation. - Yuemeng Li; Hangfan Liu; Hongming Li; Yong Fan 001 (CoRR, 2019)

CG-Cast: Scalable Wireless Image SoftCast Using Compressive Gradient. - Hangfan Liu; Ruiqin Xiong; Xiaopeng Fan; Debin Zhao; Yongbing Zhang 002; Wen Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Cerebral Microbleed Detection Via Fourier Descriptor with Dual Domain Distribution Modeling. - Hangfan Liu; Tanweer Rashid; Mohamad Habes (ISBI Workshops, 2020)

TGA: Two-level Group Attention for Assembly State Detection. - Hangfan Liu; Yongzhi Su; Jason R. Rambach; Alain Pagani; Didier Stricker (ISMAR Adjunct, 2020)

Image denoising via structure-constrained low-rank approximation. - Yongqin Zhang; Ruiwen Kang; Xianlin Peng; Jun Wang 078; Jihua Zhu; Jinye Peng; Hangfan Liu (Neural Comput. Appl., 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 001 (IEEE Trans. Biomed. Eng., 2020)

Spk2ImgNet: Learning To Reconstruct Dynamic Scene From Continuous Spike Stream. - Jing Zhao 011; Ruiqin Xiong; Hangfan Liu; Jian Zhang 018; Tiejun Huang 001 (CVPR, 2021)

Image Denoising Based on Correlation Adaptive Sparse Modeling. - Hangfan Liu; Jian Zhang 018; Chong Mou (ICASSP, 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 (MICCAI (6), 2021)

Enhancing Low-Light Color Image via L0 Regularization and Reweighted Group Sparsity. - Qiang Song; Hangfan Liu (IEEE Access, 2021)

CAS: Correlation Adaptive Sparse Modeling for Image Denoising. - Hangfan Liu; Jian Zhang 018; Ruiqin Xiong (IEEE Trans. Computational Imaging, 2021)

Collaborative Clustering Based on Adaptive Laplace Modeling for Neuroimaging Data Analysis. - Hangfan Liu; Karl Li; Jon B. Toledo; Mohamad Habes (ISCAS, 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; et al. (CoRR, 2022)

COLA-Net: Collaborative Attention Network for Image Restoration. - Chong Mou; Jian Zhang 018; Xiaopeng Fan; Hangfan Liu; Ronggang Wang (IEEE Trans. Multim., 2022)

Learning to Super-resolve Dynamic Scenes for Neuromorphic Spike Camera. - Jing Zhao 011; Ruiqin Xiong; Jian Zhang 018; Rui Zhao 010; Hangfan Liu; Tiejun Huang 001 (AAAI, 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., 2023)

Multi Echo-Time ASL MRI Denoising via Joint Complex Low-Rank Regularization. - Hangfan Liu; Bo Li; Yiran Li; Manuel Taso; John A. Detre; Ze Wang 017 (EMBC, 2024)

Adaptive Joint Data Selection for Sparsity Based Arterial Spin Labeling MRI Denoising. - Hangfan Liu; Bo Li; Yiran Li; John A. Detre; Ze Wang 017 (ISBI, 2024)