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2020 – today
- 2023
[j35]Weiyi Yu, Zhizhong Huang
, Junping Zhang, Hongming Shan:
SAN-Net: Learning generalization to unseen sites for stroke lesion segmentation with self-adaptive normalization. Comput. Biol. Medicine 156: 106717 (2023)- [j34]Jiaqi Gao, Jingqi Li, Hongming Shan, Yanyun Qu, James Z. Wang, Fei-Yue Wang, Junping Zhang:
Forget less, count better: a domain-incremental self-distillation learning benchmark for lifelong crowd counting. Frontiers Inf. Technol. Electron. Eng. 24(2): 187-202 (2023) - [j33]Zhizhong Huang, Jie Chen, Junping Zhang, Hongming Shan:
Learning Representation for Clustering Via Prototype Scattering and Positive Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7509-7524 (2023) - [j32]Zhizhong Huang, Junping Zhang, Hongming Shan:
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and a New Benchmark. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7917-7932 (2023) - [j31]Yuan Cao, Danchen Zhang, Xin Zheng, Hongming Shan, Junping Zhang:
Mutual Information Boosted Precipitation Nowcasting from Radar Images. Remote. Sens. 15(6): 1639 (2023) - [j30]Wenjun Xia, Hongming Shan, Ge Wang, Yi Zhang:
Physics-/Model-Based and Data-Driven Methods for Low-Dose Computed Tomography: A survey. IEEE Signal Process. Mag. 40(2): 89-100 (2023) - [j29]Junping Zhang, Jian Pu, Jie Chen, Haolin Fu, Yongzhi Tao, Shihmin Wang, Qi Chen, Yunfeng Xiao, Siming Chen, Yuan Cheng, Hongming Shan, Dewang Chen, Fei-Yue Wang:
DSiV: Data Science for Intelligent Vehicles. IEEE Trans. Intell. Veh. 8(4): 2628-2634 (2023) - [j28]Zexin Lu, Wenjun Xia, Yongqiang Huang, Mingzheng Hou, Hu Chen, Jiliu Zhou, Hongming Shan, Yi Zhang:
M3NAS: Multi-Scale and Multi-Level Memory-Efficient Neural Architecture Search for Low-Dose CT Denoising. IEEE Trans. Medical Imaging 42(3): 850-863 (2023) - [i51]Yiming Lei, Zilong Li, Yangyang Li, Junping Zhang, Hongming Shan:
CORE: Learning Consistent Ordinal REpresentations for Image Ordinal Estimation. CoRR abs/2301.06122 (2023) - [i50]Zhihao Chen, Chuang Niu, Ge Wang, Hongming Shan:
LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring. CoRR abs/2302.10630 (2023) - [i49]Zhizhong Huang, Junping Zhang, Hongming Shan:
Twin Contrastive Learning with Noisy Labels. CoRR abs/2303.06930 (2023) - [i48]Mingliang Dai, Zhizhong Huang, Jiaqi Gao, Hongming Shan, Junping Zhang:
Cross-head Supervision for Crowd Counting with Noisy Annotations. CoRR abs/2303.09245 (2023) - [i47]Qi Gao, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan:
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization. CoRR abs/2304.01814 (2023) - [i46]Tao Chen, Chenhui Wang, Hongming Shan:
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation. CoRR abs/2304.04429 (2023) - [i45]Yiming Lei, Zilong Li, Yan Shen, Junping Zhang, Hongming Shan:
CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction. CoRR abs/2304.08013 (2023) - [i44]Weiyi Yu, Yiming Lei, Hongming Shan:
FAN-Net: Fourier-Based Adaptive Normalization For Cross-Domain Stroke Lesion Segmentation. CoRR abs/2304.11557 (2023) - 2022
- [j27]Yiming Lei, Haiping Zhu, Junping Zhang, Hongming Shan:
Meta Ordinal Regression Forest for Medical Image Classification With Ordinal Labels. IEEE CAA J. Autom. Sinica 9(7): 1233-1247 (2022) - [j26]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results. Patterns 3(5): 100474 (2022) - [j25]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks. Patterns 3(5): 100475 (2022) - [j24]Zhizhong Huang, Junping Zhang, Yi Zhang, Hongming Shan:
DU-GAN: Generative Adversarial Networks With Dual-Domain U-Net-Based Discriminators for Low-Dose CT Denoising. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j23]Chuang Niu, Hongming Shan, Ge Wang:
SPICE: Semantic Pseudo-Labeling for Image Clustering. IEEE Trans. Image Process. 31: 7264-7278 (2022) - [j22]Mufeng Geng, Xiangxi Meng, Jiangyuan Yu, Lei Zhu, Lujia Jin, Zhe Jiang, Bin Qiu, Hui Li, Hanjing Kong, Jianmin Yuan, Kun Yang, Hongming Shan, Hongbin Han, Zhi Yang, Qiushi Ren, Yanye Lu:
Content-Noise Complementary Learning for Medical Image Denoising. IEEE Trans. Medical Imaging 41(2): 407-419 (2022) - [j21]Haiping Zhu, Hongming Shan, Yuheng Zhang, Lingfu Che, Xiaoyang Xu, Junping Zhang, Jianbo Shi, Fei-Yue Wang:
Convolutional Ordinal Regression Forest for Image Ordinal Estimation. IEEE Trans. Neural Networks Learn. Syst. 33(8): 4084-4095 (2022) - [c15]Yuan Cao, Lei Chen, Danchen Zhang, Leiming Ma, Hongming Shan:
Hybrid Weighting Loss for Precipitation Nowcasting from Radar Images. ICASSP 2022: 3738-3742 - [c14]Zexin Lu, Wenjun Xia, Yongqiang Huang, Mingzheng Hou, Hu Chen, Hongming Shan, Yi Zhang:
Low-Dose CT Denoising via Neural Architecture Search. ISBI 2022: 1-5 - [i43]Aaron Babier, Rafid Mahmood, Binghao Zhang, Victor Gabriel Leandro Alves, Ana Maria Barragán-Montero, Joel Beaudry, Carlos E. Cardenas S., Yankui Chang, Zijie Chen, Jaehee Chun, Kelly Diaz, Harold David Eraso, Erik Faustmann, Sibaji Gaj, Skylar S. Gay, Mary Gronberg, Bingqi Guo, Junjun He, Gerd Heilemann, Sanchit Hira, Yuliang Huang, Fuxin Ji, Dashan Jiang, Jean Carlo Jimenez Giraldo, Hoyeon Lee, Jun Lian, Shuolin Liu, Keng-Chi Liu, José Marrugo, Kentaro Miki, Kunio Nakamura, Tucker J. Netherton, Dan Nguyen, Hamidreza Nourzadeh, Alexander F. I. Osman, Zhao Peng, José Darío Quinto Muñoz, Christian Ramsl, Dong Joo Rhee, Juan David Rodriguez, Hongming Shan, Jeffrey V. Siebers, Mumtaz Hussain Soomro, Kay Sun, Andrés Usuga Hoyos, Carlos Valderrama, Rob Verbeek, Enpei Wang, Siri Willems, Qi Wu, Xuanang Xu, Sen Yang, Lulin Yuan, Simeng Zhu, Lukas Zimmermann, Kevin L. Moore, Thomas G. Purdie, Andrea L. McNiven, Timothy C. Y. Chan:
OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines. CoRR abs/2202.08303 (2022) - [i42]Yiming Lei, Haiping Zhu, Junping Zhang, Hongming Shan:
Meta Ordinal Regression Forest for Medical Image Classification with Ordinal Labels. CoRR abs/2203.07725 (2022) - [i41]Rodrigo de Barros Vimieiro, Chuang Niu, Hongming Shan, Lucas Rodrigues Borges, Ge Wang, Marcelo Andrade da Costa Vieira:
Convolutional Neural Network to Restore Low-Dose Digital Breast Tomosynthesis Projections in a Variance Stabilization Domain. CoRR abs/2203.11722 (2022) - [i40]Wenjun Xia, Hongming Shan, Ge Wang, Yi Zhang:
Synergizing Physics/Model-based and Data-driven Methods for Low-Dose CT. CoRR abs/2203.15725 (2022) - [i39]Jiaqi Gao, Jingqi Li, Hongming Shan, Yanyun Qu, James Z. Wang, Junping Zhang:
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting. CoRR abs/2205.03307 (2022) - [i38]Weiyi Yu, Zhizhong Huang, Junping Zhang, Hongming Shan:
Site Generalization: Stroke Lesion Segmentation on Magnetic Resonance Images from Unseen Sites. CoRR abs/2205.04329 (2022) - [i37]Zilong Li, Qi Gao, Yaping Wu, Chuang Niu, Junping Zhang, Meiyun Wang, Ge Wang, Hongming Shan:
FD-MAR: Fourier Dual-domain Network for CT Metal Artifact Reduction. CoRR abs/2207.11678 (2022) - [i36]Zhizhong Huang, Junping Zhang, Hongming Shan:
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark. CoRR abs/2210.09835 (2022) - [i35]Jingqi Li, Jiaqi Gao, Yuzhen Zhang, Hongming Shan, Junping Zhang:
GaitMAST: Motion-Aware Spatio-Temporal Feature Learning Network for Cross-View Gait Recognition. CoRR abs/2210.11817 (2022) - [i34]Jiaxin Ye, Xin-Cheng Wen, Yujie Wei, Yong Xu, Kunhong Liu, Hongming Shan:
Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition. CoRR abs/2211.08233 (2022) - 2021
- [j20]Zhao Peng, Ming Ni, Hongming Shan, Yu Lu, Yongzhe Li, Yifan Zhang, Xi Pei, Zhi Chen, Qiang Xie, Shicun Wang, X. George Xu:
Feasibility evaluation of PET scan-time reduction for diagnosing amyloid-β levels in Alzheimer's disease patients using a deep-learning-based denoising algorithm. Comput. Biol. Medicine 138: 104919 (2021) - [j19]Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan:
PFA-GAN: Progressive Face Aging With Generative Adversarial Network. IEEE Trans. Inf. Forensics Secur. 16: 2031-2045 (2021) - [j18]Qing Lyu, Hongming Shan, Yibin Xie, Alan C. Kwan, Yuka Otaki, Keiichiro Kuronuma, Debiao Li, Ge Wang:
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network. IEEE Trans. Medical Imaging 40(8): 2170-2181 (2021) - [c13]Zhizhong Huang, Junping Zhang, Hongming Shan:
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework. CVPR 2021: 7282-7291 - [c12]Yiming Lei, Hongming Shan, Junping Zhang:
Meta Ordinal Weighting Net For Improving Lung Nodule Classification. ICASSP 2021: 1210-1214 - [c11]Zhizhong Huang, Junping Zhang, Hongming Shan:
Routinggan: Routing Age Progression and Regression with Disentangled Learning. ICASSP 2021: 2145-2149 - [c10]Yiqun Liu, Yi Zeng, Jian Pu, Hongming Shan, Peiyang He, Junping Zhang:
Selfgait: A Spatiotemporal Representation Learning Method for Self-Supervised Gait Recognition. ICASSP 2021: 2570-2574 - [c9]Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan:
AgeFlow: Conditional Age Progression and Regression with Normalizing Flows. IJCAI 2021: 743-750 - [i33]Yiming Lei, Hongming Shan, Junping Zhang:
Meta ordinal weighting net for improving lung nodule classification. CoRR abs/2102.00456 (2021) - [i32]Zhizhong Huang, Junping Zhang, Hongming Shan:
RoutingGAN: Routing Age Progression and Regression with Disentangled Learning. CoRR abs/2102.00601 (2021) - [i31]Zhizhong Huang, Junping Zhang, Hongming Shan:
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework. CoRR abs/2103.01520 (2021) - [i30]Zexin Lu, Wenjun Xia, Yongqiang Huang, Hongming Shan, Hu Chen, Jiliu Zhou, Yi Zhang:
MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising. CoRR abs/2103.12995 (2021) - [i29]Yiqun Liu, Yi Zeng, Jian Pu, Hongming Shan, Peiyang He, Junping Zhang:
SelfGait: A Spatiotemporal Representation Learning Method for Self-supervised Gait Recognition. CoRR abs/2103.14811 (2021) - [i28]Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan:
AgeFlow: Conditional Age Progression and Regression with Normalizing Flows. CoRR abs/2105.07239 (2021) - [i27]Zhizhong Huang, Junping Zhang, Yi Zhang, Hongming Shan:
DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising. CoRR abs/2108.10772 (2021) - [i26]Hongming Shan, Rodrigo de Barros Vimieiro, Lucas Rodrigues Borges, Marcelo Andrade da Costa Vieira, Ge Wang:
Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography. CoRR abs/2111.06890 (2021) - [i25]Zhizhong Huang, Jie Chen, Junping Zhang, Hongming Shan:
Exploring Non-Contrastive Representation Learning for Deep Clustering. CoRR abs/2111.11821 (2021) - 2020
- [j17]Huidong Xie, Hongming Shan, Wenxiang Cong, Chi Liu, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang:
Deep Efficient End-to-End Reconstruction (DEER) Network for Few-View Breast CT Image Reconstruction. IEEE Access 8: 196633-196646 (2020) - [j16]Haiping Zhu, Yuheng Zhang, Guohao Li, Junping Zhang, Hongming Shan:
Ordinal distribution regression for gait-based age estimation. Sci. China Inf. Sci. 63(2): 120102 (2020) - [j15]Yiming Lei, Yukun Tian, Hongming Shan, Junping Zhang, Ge Wang, Mannudeep K. Kalra:
Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping. Medical Image Anal. 60 (2020) - [j14]Hongming Shan, Xun Jia, Pingkun Yan, Yunyao Li, Harald Paganetti, Ge Wang:
Synergizing medical imaging and radiotherapy with deep learning. Mach. Learn. Sci. Technol. 1(2): 21001 (2020) - [j13]Qing Lyu, Hongming Shan, Ge Wang:
MRI Super-Resolution With Ensemble Learning and Complementary Priors. IEEE Trans. Computational Imaging 6: 615-624 (2020) - [j12]Chenyu You, Wenxiang Cong, Michael W. Vannier, Punam K. Saha, Eric A. Hoffman, Ge Wang, Guang Li, Yi Zhang, Xiaoliu Zhang, Hongming Shan, Mengzhou Li, Shenghong Ju, Zhen Zhao, Zhuiyang Zhang:
CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE). IEEE Trans. Medical Imaging 39(1): 188-203 (2020) - [j11]Fenglei Fan, Hongming Shan, Mannudeep K. Kalra, Ramandeep Singh, Guhan Qian, Matthew Getzin, Yueyang Teng, Juergen Hahn, Ge Wang:
Quadratic Autoencoder (Q-AE) for Low-Dose CT Denoising. IEEE Trans. Medical Imaging 39(6): 2035-2050 (2020) - [j10]Qing Lyu, Hongming Shan, Cole Steber, Corbin Helis, Chris Whitlow, Michael Chan, Ge Wang:
Multi-Contrast Super-Resolution MRI Through a Progressive Network. IEEE Trans. Medical Imaging 39(9): 2738-2749 (2020) - [c8]Yiming Lei, Haiping Zhu, Junping Zhang, Hongming Shan:
Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules. BIBM 2020: 442-445 - [c7]Haiping Zhu, Zhizhong Huang, Hongming Shan, Junping Zhang:
Look Globally, Age Locally: Face Aging With an Attention Mechanism. ICASSP 2020: 1963-1967 - [c6]Yu Gong, Hongming Shan, Yueyang Teng, Hairong Zheng, Ge Wang, Shanshan Wang:
Low-Dose Pet Image Restoration With 2D And 3D Network Prior Learning. ISBI Workshops 2020: 1-4 - [c5]Yu Gong, Hongming Shan, Yueyang Teng, Hairong Zheng, Ge Wang, Shanshan Wang:
Deeply-Supervised Multi-Dose Prior Learning For Low-Dose Pet Imaging. ISBI Workshops 2020: 1-4 - [c4]Huidong Xie, Hongming Shan, Ge Wang:
3D Few-View CT Image Reconstruction with Deep Learning. ISBI Workshops 2020: 1-4 - [i24]Qing Lyu, Hongming Shan, Yibin Xie, Debiao Li, Ge Wang:
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network. CoRR abs/2006.12700 (2020) - [i23]Chuang Niu, Wenxiang Cong, Fenglei Fan, Hongming Shan, Mengzhou Li, Jimin Liang, Ge Wang:
Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction. CoRR abs/2007.03882 (2020) - [i22]Weiwen Wu, Dianlin Hu, Hengyong Yu, Hongming Shan, Shaoyu Wang, Wenxiang Cong, Chuang Niu, Pingkun Yan, Vince Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. CoRR abs/2008.01846 (2020) - [i21]Haiping Zhu, Yuheng Zhang, Hongming Shan, Lingfu Che, Xiaoyang Xu, Junping Zhang, Jianbo Shi, Fei-Yue Wang:
Deep Ordinal Regression Forests. CoRR abs/2008.03077 (2020) - [i20]Hanqing Chao, Hongming Shan, Fatemeh Homayounieh, Ramandeep Singh, Ruhani Doda Khera, Hengtao Guo, Timothy Su, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography. CoRR abs/2008.06997 (2020) - [i19]Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan:
PFA-GAN: Progressive Face Aging with Generative Adversarial Network. CoRR abs/2012.03459 (2020) - [i18]Yiming Lei, Haiping Zhu, Junping Zhang, Hongming Shan:
Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules. CoRR abs/2012.03480 (2020)
2010 – 2019
- 2019
- [j9]Zhao Peng, Hongming Shan, Tianyu Liu, Xi Pei, Ge Wang, X. George Xu:
MCDNet - A Denoising Convolutional Neural Network to Accelerate Monte Carlo Radiation Transport Simulations: A Proof of Principle With Patient Dose From X-Ray CT Imaging. IEEE Access 7: 76680-76689 (2019) - [j8]Hongming Shan, Atul Padole, Fatemeh Homayounieh, Uwe Kruger, Ruhani Doda Khera, Chayanin Nitiwarangkul, Mannudeep K. Kalra, Ge Wang:
Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction. Nat. Mach. Intell. 1(6): 269-276 (2019) - [j7]Hongming Shan, Junping Zhang, Uwe Kruger:
Framework of Randomized Distribution Features for Visual Representation and Categorization. IEEE Trans. Cybern. 49(9): 3599-3606 (2019) - [j6]Yiwei He, Junping Zhang, Hongming Shan, Liang Wang:
Multi-Task GANs for View-Specific Feature Learning in Gait Recognition. IEEE Trans. Inf. Forensics Secur. 14(1): 102-113 (2019) - [j5]Qi Zhou, Junping Zhang, Lingfu Che, Hongming Shan, James Z. Wang:
Crowd Counting With Limited Labeling Through Submodular Frame Selection. IEEE Trans. Intell. Transp. Syst. 20(5): 1728-1738 (2019) - [i17]Fenglei Fan, Hongming Shan, Ge Wang:
Quadratic Autoencoder for Low-Dose CT Denoising. CoRR abs/1901.05593 (2019) - [i16]Haiping Zhu, Yuheng Zhang, Guohao Li, Junping Zhang, Hongming Shan:
Ordinal Distribution Regression for Gait-based Age Estimation. CoRR abs/1905.11005 (2019) - [i15]Huidong Xie, Hongming Shan, Wenxiang Cong, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang:
Dual Network Architecture for Few-view CT - Trained on ImageNet Data and Transferred for Medical Imaging. CoRR abs/1907.01262 (2019) - [i14]Qing Lyu, Hongming Shan, Ge Wang:
MRI Super-Resolution with Ensemble Learning and Complementary Priors. CoRR abs/1907.03063 (2019) - [i13]Hongming Shan, Ge Wang, Yang Yang:
Simultaneous reconstruction of the initial pressure and sound speed in photoacoustic tomography using a deep-learning approach. CoRR abs/1907.09951 (2019) - [i12]Qing Lyu, Hongming Shan, Ge Wang:
Multi-Contrast Super-Resolution MRI Through a Progressive Network. CoRR abs/1908.01612 (2019) - [i11]Wenxiang Cong, Hongming Shan, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang:
Deep-learning-based Breast CT for Radiation Dose Reduction. CoRR abs/1909.11721 (2019) - [i10]Yu Gong, Yueyang Teng, Hongming Shan, Taohui Xiao, Ming Li, Guodong Liang, Ge Wang, Shanshan Wang:
Parameter Constrained Transfer Learning for Low Dose PET Image Denoising. CoRR abs/1910.06749 (2019) - [i9]Haiping Zhu, Zhizhong Huang, Hongming Shan, Junping Zhang:
Look globally, age locally: Face aging with an attention mechanism. CoRR abs/1910.12771 (2019) - [i8]Huidong Xie, Hongming Shan, Ge Wang:
Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data. CoRR abs/1911.05880 (2019) - [i7]Huidong Xie, Hongming Shan, Wenxiang Cong, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang:
Deep Efficient End-to-end Reconstruction (DEER) Network for Low-dose Few-view Breast CT from Projection Data. CoRR abs/1912.04278 (2019) - 2018
- [j4]Chenyu You, Qingsong Yang, Hongming Shan, Lars Gjesteby, Guang Li, Shenghong Ju, Zhuiyang Zhang, Zhen Zhao, Yi Zhang, Wenxiang Cong, Ge Wang:
Structurally-Sensitive Multi-Scale Deep Neural Network for Low-Dose CT Denoising. IEEE Access 6: 41839-41855 (2018) - [j3]Hongming Shan, Yi Zhang, Qingsong Yang, Uwe Kruger, Mannudeep K. Kalra, Ling Sun, Wenxiang Cong, Ge Wang:
3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network. IEEE Trans. Medical Imaging 37(6): 1522-1534 (2018) - [j2]Hongming Shan, Yi Zhang, Qingsong Yang, Uwe Kruger, Mannudeep K. Kalra, Ling Sun, Wenxiang Cong, Ge Wang:
Correction for "3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2D Trained Network". IEEE Trans. Medical Imaging 37(12): 2750 (2018) - [c3]Hanqing Chao, Yuan Cao, Junping Zhang, Fen Xia, Ye Zhou, Hongming Shan:
Population Density-Based Hospital Recommendation with Mobile LBS Big Data. BigComp 2018: 37-44 - [i6]Fenglei Fan, Hongming Shan, Ge Wang:
Shamap: Shape-based Manifold Learning. CoRR abs/1802.05386 (2018) - [i5]Hongming Shan, Yi Zhang, Qingsong Yang, Uwe Kruger, Wenxiang Cong, Ge Wang:
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network. CoRR abs/1802.05656 (2018) - [i4]Chenyu You, Qingsong Yang, Hongming Shan, Lars Gjesteby, Guang Li, Shenghong Ju, Zhuiyang Zhang, Zhen Zhao, Yi Zhang, Wenxiang Cong, Ge Wang:
Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising. CoRR abs/1805.00587 (2018) - [i3]Yiming Lei, Yukun Tian, Hongming Shan, Junping Zhang, Ge Wang, Mannudeep K. Kalra:
Soft Activation Mapping of Lung Nodules in Low-Dose CT images. CoRR abs/1810.12494 (2018) - [i2]Hongming Shan, Atul Padole, Fatemeh Homayounieh, Uwe Krüger, Ruhani Doda Khera, Chayanin Nitiwarangkul, Mannudeep K. Kalra, Ge Wang:
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods? CoRR abs/1811.03691 (2018) - 2017
- [i1]Hanqing Chao, Yuan Cao, Junping Zhang, Fen Xia, Ye Zhou, Hongming Shan:
Population Density-based Hospital Recommendation with Mobile LBS Big Data. CoRR abs/1708.00759 (2017) - 2016
- [j1]Hongming Shan, Junping Zhang, Uwe Krüger:
Learning Linear Representation of Space Partitioning Trees Based on Unsupervised Kernel Dimension Reduction. IEEE Trans. Cybern. 46(12): 3427-3438 (2016) - [c2]Hongming Shan, Junping Zhang:
Randomized Distribution Feature for Image Classification. ECAI 2016: 426-434 - [c1]Haiping Zhu, Hongming Shan, Youngjoo Lee, Yiwei He, Qi Zhou, Junping Zhang:
Group Information-Based Dimensionality Reduction via Canonical Correlation Analysis. ICONIP (2) 2016: 297-305
Coauthor Index