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2020 – today
- 2024
[c21]Hangfan Liu
, Bo Li, Yiran Li, John A. Detre, Ze Wang:
Adaptive Joint Data Selection for Sparsity Based Arterial Spin Labeling MRI Denoising. ISBI 2024: 1-5- 2023
- [j10]Hangfan Liu, Michel J. Grothe, Tanweer Rashid, Miguel A. Labrador-Espinosa, Jon B. Toledo, Mohamad Habes:
ADCoC: Adaptive Distribution Modeling Based Collaborative Clustering for Disentangling Disease Heterogeneity from Neuroimaging Data. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 308-318 (2023) - [c20]Jing Zhao, Ruiqin Xiong, Jian Zhang, Rui Zhao, Hangfan Liu, Tiejun Huang:
Learning to Super-resolve Dynamic Scenes for Neuromorphic Spike Camera. AAAI 2023: 3579-3587 - 2022
- [j9]Chong Mou, Jian Zhang, Xiaopeng Fan, Hangfan Liu, Ronggang Wang:
COLA-Net: Collaborative Attention Network for Image Restoration. IEEE Trans. Multim. 24: 1366-1377 (2022) - [c19]Hangfan Liu, Karl Li, Jon B. Toledo, Mohamad Habes:
Collaborative Clustering Based on Adaptive Laplace Modeling for Neuroimaging Data Analysis. ISCAS 2022: 1630-1634 - [i4]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:
Deep Learning Based Detection of Enlarged Perivascular Spaces on Brain MRI. CoRR abs/2209.13727 (2022) - 2021
- [j8]Qiang Song, Hangfan Liu:
Enhancing Low-Light Color Image via L0 Regularization and Reweighted Group Sparsity. IEEE Access 9: 101614-101626 (2021) - [j7]Hangfan Liu, Jian Zhang, Ruiqin Xiong:
CAS: Correlation Adaptive Sparse Modeling for Image Denoising. IEEE Trans. Computational Imaging 7: 638-647 (2021) - [c18]Jing Zhao, Ruiqin Xiong, Hangfan Liu, Jian Zhang, Tiejun Huang:
Spk2ImgNet: Learning To Reconstruct Dynamic Scene From Continuous Spike Stream. CVPR 2021: 11996-12005 - [c17]Hangfan Liu, Jian Zhang, Chong Mou:
Image Denoising Based on Correlation Adaptive Sparse Modeling. ICASSP 2021: 2060-2064 - [c16]Hangfan Liu, Tanweer Rashid, Jeffrey B. Ware, Paul Jensen, Thomas Austin, Ilya M. Nasrallah, Robert B. Fisher, Susan R. Heckbert, Mohamad Habes:
Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds. MICCAI (6) 2021: 265-275 - [i3]Chong Mou, Jian Zhang, Xiaopeng Fan, Hangfan Liu, Ronggang Wang:
COLA-Net: Collaborative Attention Network for Image Restoration. CoRR abs/2103.05961 (2021) - 2020
- [j6]Yongqin Zhang, Ruiwen Kang, Xianlin Peng, Jun Wang, Jihua Zhu, Jinye Peng, Hangfan Liu:
Image denoising via structure-constrained low-rank approximation. Neural Comput. Appl. 32(16): 12575-12590 (2020) - [j5]Hangfan Liu, Hongming Li, Mohamad Habes, Yuemeng Li, Pamela Boimel, James Janopaul-Naylor, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis. IEEE Trans. Biomed. Eng. 67(10): 2735-2744 (2020) - [c15]Hangfan Liu, Tanweer Rashid, Mohamad Habes:
Cerebral Microbleed Detection Via Fourier Descriptor with Dual Domain Distribution Modeling. ISBI Workshops 2020: 1-4 - [c14]Hangfan Liu, Yongzhi Su, Jason R. Rambach, Alain Pagani, Didier Stricker:
TGA: Two-level Group Attention for Assembly State Detection. ISMAR Adjunct 2020: 258-263
2010 – 2019
- 2019
- [j4]Hangfan Liu, Ruiqin Xiong, Xiaopeng Fan, Debin Zhao, Yongbing Zhang, Wen Gao:
CG-Cast: Scalable Wireless Image SoftCast Using Compressive Gradient. IEEE Trans. Circuits Syst. Video Technol. 29(6): 1832-1843 (2019) - [c13]Hangfan Liu, Hongming Li, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Collaborative Clustering Of Subjects And Radiomic Features For Predicting Clinical Outcomes Of Rectal Cancer Patients. ISBI 2019: 1303-1306 - [c12]Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Hangfan Liu, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan:
Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging. UNSURE/CLIP@MICCAI 2019: 146-154 - [c11]Hangfan Liu, Hongming Li, Yuemeng Li, Shi Yin, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis. MICCAI (4) 2019: 583-592 - [i2]Yuemeng Li, Hangfan Liu, Yong Fan:
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection. CoRR abs/1904.03501 (2019) - [i1]Yuemeng Li, Hangfan Liu, Hongming Li, Yong Fan:
Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation. CoRR abs/1905.02686 (2019) - 2018
- [j3]Hangfan Liu, Ruiqin Xiong, Dong Liu, Siwei Ma, Feng Wu, Wen Gao:
Image Denoising via Low Rank Regularization Exploiting Intra and Inter Patch Correlation. IEEE Trans. Circuits Syst. Video Technol. 28(12): 3321-3332 (2018) - 2017
- [j2]Hangfan Liu, Ruiqin Xiong, Xinfeng Zhang, Yongbing Zhang, Siwei Ma, Wen Gao:
Nonlocal Gradient Sparsity Regularization for Image Restoration. IEEE Trans. Circuits Syst. Video Technol. 27(9): 1909-1921 (2017) - [c10]Hangfan Liu, Ruiqin Xiong, Xiaopeng Fan, Siwei Ma, Wen Gao:
Wireless Image SoftCast Using Compressive Gradient. DCC 2017: 451 - [c9]Hangfan Liu, Ruiqin Xiong, Xiaopeng Fan, Chong Luo, Wen Gao:
Compressive gradient based scalable image SoftCast. VCIP 2017: 1-4 - [c8]Hangfan Liu, Ruiqin Xiong, Dong Liu, Feng Wu, Wen Gao:
Low rank regularization exploiting intra and inter patch correlation for image denoising. VCIP 2017: 1-4 - [c7]Hangfan Liu, Ruiqin Xiong, Qiang Song, Feng Wu, Wen Gao:
Image super-resolution based on adaptive joint distribution modeling. VCIP 2017: 1-4 - 2016
- [j1]Ruiqin Xiong, Hangfan Liu, Xinfeng Zhang, Jian Zhang, Siwei Ma, Feng Wu, Wen Gao:
Image Denoising via Bandwise Adaptive Modeling and Regularization Exploiting Nonlocal Similarity. IEEE Trans. Image Process. 25(12): 5793-5805 (2016) - [c6]Hangfan Liu, Xinfeng Zhang, Ruiqin Xiong:
Content-adaptive low rank regularization for image denoising. ICIP 2016: 3091-3095 - 2015
- [c5]Hangfan Liu, Ruiqin Xiong, Jian Zhang, Wen Gao:
Image denoising via adaptive soft-thresholding based on non-local samples. CVPR 2015: 484-492 - 2014
- [c4]Ruiqin Xiong, Hangfan Liu, Siwei Ma, Xiaopeng Fan, Feng Wu, Wen Gao:
G-CAST: Gradient Based Image SoftCast for Perception-Friendly Wireless Visual Communication. DCC 2014: 133-142 - [c3]Hangfan Liu, Ruiqin Xiong, Siwei Ma, Xiaopeng Fan, Wen Gao:
Gradient based image transmission and reconstruction using non-local gradient sparsity regularization. ICME 2014: 1-6 - [c2]Hangfan Liu, Ruiqin Xiong, Siwei Ma, Xiaopeng Fan, Wen Gao:
Non-local extension of total variation regularization for image restoration. ISCAS 2014: 1102-1105 - [c1]Hangfan Liu, Ruiqin Xiong, Siwei Ma, Xiaopeng Fan, Wen Gao:
Gradient based image/video softcast with grouped-patch collaborative reconstruction. VCIP 2014: 141-144
Coauthor Index
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last updated on 2024-10-07 22:06 CEST by the dblp team
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