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ORCIDGeng Chen 0001
Person information
- affiliation: Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates
- affiliation: University of North Carolina at Chapel Hill, Department of Radiology and Biomedical Research Imaging Center, NC, USA
- affiliation (PhD 2016): Northwestern Polytechnical University, Data Processing Center, Shaanxi, China
Other persons with the same name
- Geng Chen — disambiguation page
- Geng Chen 0002
![[0000-0001-9432-0563]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9432-0563")
— Shandong University of Science and Technology, College of Electronic and Information Engineering, Qingdao, China (and 1 more) - Geng Chen 0003 — East China Normal University, Center for Bioinformatics and Computational Biology, Shanghai, China
- Geng Chen 0004 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, China
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2020 – today
- 2024
[j31]Jian Chen, Ranlin Lu, Bin Jing, He Zhang, Geng Chen, Dinggang Shen:
One model, two brains: Automatic fetal brain extraction from MR images of twins. Comput. Medical Imaging Graph. 112: 102330 (2024)- [j30]Shijie Huang, Xukun Zhang, Zhiming Cui, He Zhang, Geng Chen, Dinggang Shen:
Tissue Segmentation of Thick-Slice Fetal Brain MR Scans With Guidance From High-Quality Isotropic Volumes. IEEE Trans. Biomed. Eng. 71(4): 1404-1415 (2024) - [j29]Jian Chen, Ranlin Lu, Shilin Ye, Mengting Guang, Tewodros Megabiaw Tassew, Bin Jing, Guofu Zhang, Geng Chen, Dinggang Shen:
Image Recovery Matters: A Recovery-Extraction Framework for Robust Fetal Brain Extraction From MR Images. IEEE J. Biomed. Health Informatics 28(2): 823-834 (2024) - [j28]Geng Chen, Huazhu Fu, Tao Zhou, Guobao Xiao, Keren Fu, Yong Xia, Yanning Zhang:
Fusion-Embedding Siamese Network for Light Field Salient Object Detection. IEEE Trans. Multim. 26: 984-994 (2024) - 2023
- [j27]Tao Zhou, Deng-Ping Fan, Geng Chen, Yi Zhou, Huazhu Fu:
Specificity-preserving RGB-D saliency detection. Comput. Vis. Media 9(2): 297-317 (2023) - [j26]Geng Chen, Yoonmi Hong, Khoi Minh Huynh, Pew-Thian Yap:
Deep learning prediction of diffusion MRI data with microstructure-sensitive loss functions. Medical Image Anal. 85: 102742 (2023) - [j25]Zhanlong Yang, Linzhi Yang, Geng Chen, Pew-Thian Yap:
Improved polar complex exponential transform for robust local image description. Pattern Recognit. 143: 109786 (2023) - [j24]Chun-Mei Feng, Yunlu Yan, Geng Chen, Yong Xu, Ying Hu, Ling Shao, Huazhu Fu:
Multimodal Transformer for Accelerated MR Imaging. IEEE Trans. Medical Imaging 42(10): 2804-2816 (2023) - [j23]Geng Chen, Jie Qin, Boulbaba Ben Amor, Weiming Zhou, Hang Dai, Tao Zhou, Heyuan Huang, Ling Shao:
Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces. IEEE Trans. Medical Imaging 42(11): 3194-3204 (2023) - [j22]Geng Chen, Hang Dai, Tao Zhou, Jianbing Shen, Ling Shao:
Automatic Schelling Point Detection From Meshes. IEEE Trans. Vis. Comput. Graph. 29(6): 2926-2939 (2023) - [c24]Shijie Huang, Geng Chen, Kaicong Sun, Zhiming Cui, Xukun Zhang, Peng Xue, Xuan Zhang, He Zhang, Dinggang Shen:
Super-Resolution Reconstruction of Fetal Brain MRI with Prior Anatomical Knowledge. IPMI 2023: 428-441 - [c23]Junqing Yang, Haotian Jiang, Tewodros Tassew, Peng Sun, Jiquan Ma, Yong Xia, Pew-Thian Yap, Geng Chen:
Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer. MICCAI (8) 2023: 25-34 - [i13]Shijie Huang, Xukun Zhang, Zhiming Cui, He Zhang, Geng Chen, Dinggang Shen:
Tissue Segmentation of Thick-Slice Fetal Brain MR Scans with Guidance from High-Quality Isotropic Volumes. CoRR abs/2308.06762 (2023) - 2022
- [j21]Ge-Peng Ji, Guobao Xiao, Yu-Cheng Chou, Deng-Ping Fan, Kai Zhao, Geng Chen, Luc Van Gool:
Video Polyp Segmentation: A Deep Learning Perspective. Int. J. Autom. Comput. 19(6): 531-549 (2022) - [j20]Lin Li, Bo Dong, Eric Rigall, Tao Zhou, Junyu Dong, Geng Chen:
Marine Animal Segmentation. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2303-2314 (2022) - [j19]Geng Chen, Si-Jie Liu, Yu-Jia Sun, Ge-Peng Ji, Ya-Feng Wu, Tao Zhou:
Camouflaged Object Detection via Context-Aware Cross-Level Fusion. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6981-6993 (2022) - [c22]Geng Chen, Haotian Jiang, Jiannan Liu, Jiquan Ma, Hui Cui, Yong Xia, Pew-Thian Yap:
Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data. MICCAI (1) 2022: 113-122 - [c21]Haoran Yin, Pengbo Xu, Hui Cui, Geng Chen, Jiquan Ma:
DC2U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net. CDMRI@MICCAI 2022: 115-124 - [i12]Ge-Peng Ji, Guobao Xiao, Yu-Cheng Chou, Deng-Ping Fan, Kai Zhao, Geng Chen, Huazhu Fu, Luc Van Gool:
Video Polyp Segmentation: A Deep Learning Perspective. CoRR abs/2203.14291 (2022) - [i11]Geng Chen, Si-Jie Liu, Yu-Jia Sun, Ge-Peng Ji, Ya-Feng Wu, Tao Zhou:
Camouflaged Object Detection via Context-aware Cross-level Fusion. CoRR abs/2207.13362 (2022) - 2021
- [j18]Hongbo Bi, Zi-Qi Liu, Kang Wang, Bo Dong, Geng Chen, Jiquan Ma:
Towards accurate RGB-D saliency detection with complementary attention and adaptive integration. Neurocomputing 439: 63-74 (2021) - [j17]Feihong Liu, Jun Feng, Geng Chen, Dinggang Shen, Pew-Thian Yap:
Gaussianization of Diffusion MRI Data Using Spatially Adaptive Filtering. Medical Image Anal. 68: 101828 (2021) - [j16]Jiannan Liu, Bo Dong, Shuai Wang, Hui Cui, Deng-Ping Fan, Jiquan Ma, Geng Chen:
COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework. Medical Image Anal. 74: 102205 (2021) - [j15]Qian Chen, Keren Fu, Ze Liu, Geng Chen, Hongwei Du, Bensheng Qiu, Ling Shao:
EF-Net: A novel enhancement and fusion network for RGB-D saliency detection. Pattern Recognit. 112: 107740 (2021) - [c20]Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao:
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. AAAI 2021: 116-124 - [c19]Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao:
Specificity-preserving RGB-D Saliency Detection. ICCV 2021: 4661-4671 - [c18]Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan, Geng Chen, Huazhu Fu, Debesh Jha, Ling Shao:
Progressively Normalized Self-Attention Network for Video Polyp Segmentation. MICCAI (1) 2021: 142-152 - [i10]Hongbo Bi, Zi-Qi Liu, Kang Wang, Bo Dong, Geng Chen, Jiquan Ma:
Towards Accurate RGB-D Saliency Detection with Complementary Attention and Adaptive Integration. CoRR abs/2102.04046 (2021) - [i9]Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao:
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. CoRR abs/2104.05345 (2021) - [i8]Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan, Geng Chen, Huazhu Fu, Debesh Jha, Ling Shao:
Progressively Normalized Self-Attention Network for Video Polyp Segmentation. CoRR abs/2105.08468 (2021) - [i7]Chun-Mei Feng, Yunlu Yan, Geng Chen, Huazhu Fu, Yong Xu, Ling Shao:
Accelerated Multi-Modal MR Imaging with Transformers. CoRR abs/2106.14248 (2021) - [i6]Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao:
Specificity-preserving RGB-D Saliency Detection. CoRR abs/2108.08162 (2021) - 2020
- [j14]Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images. IEEE Trans. Medical Imaging 39(8): 2626-2637 (2020) - [j13]Tao Zhou, Huazhu Fu, Geng Chen, Jianbing Shen, Ling Shao:
Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis. IEEE Trans. Medical Imaging 39(9): 2772-2781 (2020) - [j12]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging. IEEE Trans. Medical Imaging 39(11): 3607-3618 (2020) - [c17]Lin Li, Eric Rigall, Junyu Dong, Geng Chen:
MAS3K: An Open Dataset for Marine Animal Segmentation. Bench 2020: 194-212 - [c16]Ge-Peng Ji, Deng-Ping Fan, Tao Zhou, Geng Chen, Huazhu Fu, Ling Shao:
Automatic Polyp Segmentation via Parallel Reverse Attention Network. MediaEval 2020 - [c15]Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
PraNet: Parallel Reverse Attention Network for Polyp Segmentation. MICCAI (6) 2020: 263-273 - [c14]Geng Chen, Yoonmi Hong, Yongqin Zhang, Jaeil Kim, Khoi Minh Huynh, Jiquan Ma, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks. MICCAI (7) 2020: 280-290 - [i5]Tao Zhou, Huazhu Fu, Geng Chen, Jianbing Shen, Ling Shao:
Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis. CoRR abs/2002.05000 (2020) - [i4]Yoonmi Hong, Wei-Tang Chang, Geng Chen, Ye Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE). CoRR abs/2002.10908 (2020) - [i3]Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans. CoRR abs/2004.14133 (2020) - [i2]Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
PraNet: Parallel Reverse Attention Network for Polyp Segmentation. CoRR abs/2006.11392 (2020)
2010 – 2019
- 2019
- [j11]Geng Chen, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
Noise reduction in diffusion MRI using non-local self-similar information in joint x-q space. Medical Image Anal. 53: 79-94 (2019) - [j10]Yongqin Zhang, Pew-Thian Yap, Geng Chen, Weili Lin, Li Wang, Dinggang Shen:
Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation. Medical Image Anal. 55: 76-87 (2019) - [j9]Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
XQ-SR: Joint x-q space super-resolution with application to infant diffusion MRI. Medical Image Anal. 57: 44-55 (2019) - [j8]Brittany R. Howell, Martin A. Styner, Wei Gao, Pew-Thian Yap, Li Wang, Kristine Baluyot, Essa Yacoub, Geng Chen, Taylor Potts, Andrew P. Salzwedel, Gang Li, John H. Gilmore, Joseph Piven, J. Keith Smith, Dinggang Shen, Kâmil Ugurbil, Hongtu Zhu, Weili Lin, Jed T. Elison:
The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development. NeuroImage 185: 891-905 (2019) - [j7]Khoi Minh Huynh, Geng Chen, Ye Wu, Dinggang Shen, Pew-Thian Yap:
Multi-Site Harmonization of Diffusion MRI Data via Method of Moments. IEEE Trans. Medical Imaging 38(7): 1599-1609 (2019) - [j6]Yoonmi Hong, Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks. IEEE Trans. Medical Imaging 38(12): 2717-2725 (2019) - [j5]Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space. IEEE Trans. Medical Imaging 38(12): 2838-2848 (2019) - [c13]Yoonmi Hong, Geng Chen, Pew-Thian Yap, Dinggang Shen:
Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data. IPMI 2019: 530-541 - [c12]Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen:
DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. GLMI@MICCAI 2019: 88-95 - [c11]Yoonmi Hong, Geng Chen, Pew-Thian Yap, Dinggang Shen:
Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks. MICCAI (3) 2019: 529-537 - [c10]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Geng Chen, Kim-Han Thung, Haiyong Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments. MICCAI (3) 2019: 547-555 - [c9]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Kim-Han Thung, Geng Chen, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments. MICCAI (3) 2019: 556-563 - [i1]Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen:
DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. CoRR abs/1906.03051 (2019) - 2018
- [j4]Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space. Frontiers Neuroinformatics 12: 57 (2018) - 2017
- [j3]Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen:
Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI. NeuroImage 152: 411-424 (2017) - [c8]Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases. MICCAI (1) 2017: 49-56 - [c7]Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap:
q-Space Upsampling Using x-q Space Regularization. MICCAI (1) 2017: 620-628 - [c6]Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap:
Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI. MICCAI (1) 2017: 629-637 - 2016
- [j2]Haiyong Wu, Geng Chen, Yan Jin, Dinggang Shen, Pew-Thian Yap:
Embarrassingly Parallel Acceleration of Global Tractography via Dynamic Domain Partitioning. Frontiers Neuroinformatics 10: 25 (2016) - [j1]Geng Chen, Pei Zhang, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
Denoising magnetic resonance images using collaborative non-local means. Neurocomputing 177: 215-227 (2016) - [c5]Behrouz Saghafi, Geng Chen, Feng Shi, Pew-Thian Yap, Dinggang Shen:
Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency. Patch-MI@MICCAI 2016: 9-16 - [c4]Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen:
A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data. MICCAI (1) 2016: 210-218 - [c3]Geng Chen, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
XQ-NLM: Denoising Diffusion MRI Data via x-q Space Non-local Patch Matching. MICCAI (3) 2016: 587-595 - 2015
- [c2]Geng Chen, Pei Zhang, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
Collaborative non-local means denoising of magnetic resonance images. ISBI 2015: 564-567 - [c1]Geng Chen, Pei Zhang, Ke Li, Chong-Yaw Wee, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
Block-Based Statistics for Robust Non-parametric Morphometry. Patch-MI@MICCAI 2015: 62-70
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