Geng Chen

According to our database, Geng Chen authored at least 80 papers between 2015 and 2024.

Collaborative distances:

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

2024

Uncertainty-Aware Hierarchical Aggregation Network for Medical Image Segmentation.

Tao Zhou, Yi Zhou, Guangyu Li, Geng Chen, Jianbing Shen

IEEE Trans. Circuits Syst. Video Technol., August, 2024

Tissue Segmentation of Thick-Slice Fetal Brain MR Scans With Guidance From High-Quality Isotropic Volumes.

Shijie Huang, Xukun Zhang, Zhiming Cui, He Zhang, Geng Chen, Dinggang Shen

IEEE Trans. Biomed. Eng., April, 2024

Image Recovery Matters: A Recovery-Extraction Framework for Robust Fetal Brain Extraction From MR Images.

Jian Chen, Ranlin Lu, Shilin Ye, Mengting Guang, Tewodros Megabiaw Tassew, Bin Jing, Guofu Zhang, Geng Chen, Dinggang Shen

IEEE J. Biomed. Health Informatics, February, 2024

Fusion-Embedding Siamese Network for Light Field Salient Object Detection.

Geng Chen, Huazhu Fu, Tao Zhou, Guobao Xiao, Keren Fu, Yong Xia, Yanning Zhang

IEEE Trans. Multim., 2024

A novel non-pretrained deep supervision network for polyp segmentation.

Zhenni Yu, Li Zhao, Tangfei Liao, Xiaoqin Zhang, Geng Chen, Guobao Xiao

Pattern Recognit., 2024

SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues.

Yuxin Xie, Tao Zhou, Yi Zhou, Geng Chen

CoRR, 2024

Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios.

Geng Chen, Qingyue Wang, Islem Rekik

CoRR, 2024

MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformer.

Geng Chen, Junqing Yang, Xiaozhou Pu, Ge-Peng Ji, Huan Xiong, Yongsheng Pan, Hengfei Cui, Yong Xia

CoRR, 2024

One model, two brains: Automatic fetal brain extraction from MR images of twins.

Jian Chen, Ranlin Lu, Bin Jing, He Zhang, Geng Chen, Dinggang Shen

Comput. Medical Imaging Graph., 2024

Self-Supervised Denoising of Diffusion MRI Data Via Spatio-Angular Noise2Noise.

Haotian Jiang, Shu Zhang, Xuyun Wen, Hui Cui, Jun Lu, Islem Rekik, Jiquan Ma, Geng Chen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Federated adaptive reweighting for medical image classification.

Benteng Ma, Yu Feng, Geng Chen, Changyang Li, Yong Xia

Pattern Recognit., December, 2023

Hierarchical cumulative network for unsupervised medical image registration.

Xinke Ma, Jiang He, Xing Liu, Qin Liu, Geng Chen, Bo Yuan, Changyang Li, Yong Xia

Comput. Biol. Medicine, December, 2023

Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces.

Geng Chen, Jie Qin, Boulbaba Ben Amor, Weiming Zhou, Hang Dai, Tao Zhou, Heyuan Huang, Ling Shao

IEEE Trans. Medical Imaging, November, 2023

Improved polar complex exponential transform for robust local image description.

Zhanlong Yang, Linzhi Yang, Geng Chen, Pew-Thian Yap

Pattern Recognit., November, 2023

Multimodal Transformer for Accelerated MR Imaging.

Chun-Mei Feng, Yunlu Yan, Geng Chen, Yong Xu, Ying Hu, Ling Shao, Huazhu Fu

IEEE Trans. Medical Imaging, October, 2023

Automatic Schelling Point Detection From Meshes.

Geng Chen, Hang Dai, Tao Zhou, Jianbing Shen, Ling Shao

IEEE Trans. Vis. Comput. Graph., June, 2023

Deep learning prediction of diffusion MRI data with microstructure-sensitive loss functions.

Geng Chen, Yoonmi Hong, Khoi Minh Huynh, Pew-Thian Yap

Medical Image Anal., April, 2023

BiT-MAC: Mortality prediction by bidirectional time and multi-feature attention coupled network on multivariate irregular time series.

Qinfen Wang, Geng Chen, Xuting Jin, Siyuan Ren, Gang Wang, Longbing Cao, Yong Xia

Comput. Biol. Medicine, March, 2023

Specificity-preserving RGB-D saliency detection.

Tao Zhou, Deng-Ping Fan, Geng Chen, Yi Zhou, Huazhu Fu

Comput. Vis. Media, 2023

Edge-aware Feature Aggregation Network for Polyp Segmentation.

Tao Zhou, Yizhe Zhang, Geng Chen, Yi Zhou, Ye Wu, Deng-Ping Fan

CoRR, 2023

Pre-train, Adapt and Detect: Multi-Task Adapter Tuning for Camouflaged Object Detection.

Yinghui Xing, Dexuan Kong, Shizhou Zhang, Geng Chen, Lingyan Ran, Peng Wang, Yanning Zhang

CoRR, 2023

Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer.

Junqing Yang, Haotian Jiang, Tewodros Tassew, Peng Sun, Jiquan Ma, Yong Xia, Pew-Thian Yap, Geng Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Super-Resolution Reconstruction of Fetal Brain MRI with Prior Anatomical Knowledge.

Shijie Huang, Geng Chen, Kaicong Sun, Zhiming Cui, Xukun Zhang, Peng Xue, Xuan Zhang, He Zhang, Dinggang Shen

Proceedings of the Information Processing in Medical Imaging, 2023

Dichotomous Image Segmentation with Frequency Priors.

Yan Zhou, Bo Dong, Yuanfeng Wu, Wentao Zhu, Geng Chen, Yanning Zhang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Marine Animal Segmentation.

Lin Li, Bo Dong, Eric Rigall, Tao Zhou, Junyu Dong, Geng Chen

IEEE Trans. Circuits Syst. Video Technol., 2022

Camouflaged Object Detection via Context-Aware Cross-Level Fusion.

Geng Chen, Si-Jie Liu, Yujia Sun, Ge-Peng Ji, Ya-Feng Wu, Tao Zhou

IEEE Trans. Circuits Syst. Video Technol., 2022

BSCA-Net: Bit Slicing Context Attention network for polyp segmentation.

Yi Lin, Jichun Wu, Guobao Xiao, Junwen Guo, Geng Chen, Jiayi Ma

Pattern Recognit., 2022

Video Polyp Segmentation: A Deep Learning Perspective.

Ge-Peng Ji, Guobao Xiao, Yu-Cheng Chou, Deng-Ping Fan, Kai Zhao, Geng Chen, Luc Van Gool

Int. J. Autom. Comput., 2022

Video Polyp Segmentation: A Deep Learning Perspective.

Ge-Peng Ji, Guobao Xiao, Yu-Cheng Chou, Deng-Ping Fan, Kai Zhao, Geng Chen, Huazhu Fu, Luc Van Gool

CoRR, 2022

DC²U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net.

Haoran Yin, Pengbo Xu, Hui Cui, Geng Chen, Jiquan Ma

Proceedings of the Computational Diffusion MRI - 13th International Workshop, 2022

Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data.

Geng Chen, Haotian Jiang, Jiannan Liu, Jiquan Ma, Hui Cui, Yong Xia, Pew-Thian Yap

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

EF-Net: A novel enhancement and fusion network for RGB-D saliency detection.

Qian Chen, Keren Fu, Ze Liu, Geng Chen, Hongwei Du, Bensheng Qiu, Ling Shao

Pattern Recognit., 2021

Gaussianization of Diffusion MRI Data Using Spatially Adaptive Filtering.

Feihong Liu, Jun Feng, Geng Chen, Dinggang Shen, Pew-Thian Yap

Medical Image Anal., 2021

COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework.

Jiannan Liu, Bo Dong, Shuai Wang, Hui Cui, Deng-Ping Fan, Jiquan Ma, Geng Chen

Medical Image Anal., 2021

BCNet: Bidirectional collaboration network for edge-guided salient object detection.

Bo Dong, Yan Zhou, Chuanfei Hu, Keren Fu, Geng Chen

Neurocomputing, 2021

Towards accurate RGB-D saliency detection with complementary attention and adaptive integration.

Hongbo Bi, Zi-Qi Liu, Kang Wang, Bo Dong, Geng Chen, Jiquan Ma

Neurocomputing, 2021

Accelerated Multi-Modal MR Imaging with Transformers.

Chun-Mei Feng, Yunlu Yan, Geng Chen, Huazhu Fu, Yong Xu, Ling Shao

CoRR, 2021

Learning Synergistic Attention for Light Field Salient Object Detection.

Yi Zhang, Geng Chen, Qian Chen, Yujia Sun, Olivier Déforges, Wassim Hamidouche, Lu Zhang

CoRR, 2021

Progressively Normalized Self-Attention Network for Video Polyp Segmentation.

Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan, Geng Chen, Huazhu Fu, Debesh Jha, Ling Shao

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

Context-aware Cross-level Fusion Network for Camouflaged Object Detection.

Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, Nian Liu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Specificity-preserving RGB-D Saliency Detection.

Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Synergistic Attention for Light Field Salient Object Detection.

Yi Zhang, Geng Chen, Qian Chen, Yujia Sun, Yong Xia, Olivier Déforges, Wassim Hamidouche, Lu Zhang

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction.

Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

24-shell diffusion MRI data.

Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap

Dataset, June, 2020

24-shell diffusion MRI data.

Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap

Dataset, June, 2020

24-shell diffusion MRI data.

Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap

Dataset, June, 2020

24 shells diffusion MRI.

Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap

Dataset, June, 2020

Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis.

Tao Zhou, Huazhu Fu, Geng Chen, Jianbing Shen, Ling Shao

IEEE Trans. Medical Imaging, 2020

Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging.

Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap

IEEE Trans. Medical Imaging, 2020

Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images.

Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao

IEEE Trans. Medical Imaging, 2020

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans.

Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao

CoRR, 2020

Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE).

Yoonmi Hong, Wei-Tang Chang, Geng Chen, Ye Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap

CoRR, 2020

PraNet: Parallel Reverse Attention Network for Polyp Segmentation.

Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks.

Geng Chen, Yoonmi Hong, Yongqin Zhang, Jaeil Kim, Khoi Minh Huynh, Jiquan Ma, Weili Lin, Dinggang Shen, Pew-Thian Yap

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Automatic Polyp Segmentation via Parallel Reverse Attention Network.

Ge-Peng Ji, Deng-Ping Fan, Tao Zhou, Geng Chen, Huazhu Fu, Ling Shao

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

MAS3K: An Open Dataset for Marine Animal Segmentation.

Lin Li, Eric Rigall, Junyu Dong, Geng Chen

Proceedings of the Benchmarking, Measuring, and Optimizing, 2020

2019

Multi-Site Harmonization of Diffusion MRI Data via Method of Moments.

Khoi Minh Huynh, Geng Chen, Ye Wu, Dinggang Shen, Pew-Thian Yap

IEEE Trans. Medical Imaging, 2019

Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks.

Yoonmi Hong, Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen

IEEE Trans. Medical Imaging, 2019

Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space.

Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap

IEEE Trans. Medical Imaging, 2019

The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development.

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

NeuroImage, 2019

Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation.

Yongqin Zhang, Pew-Thian Yap, Geng Chen, Weili Lin, Li Wang, Dinggang Shen

Medical Image Anal., 2019

Noise reduction in diffusion MRI using non-local self-similar information in joint x-q space.

Geng Chen, Yafeng Wu, Dinggang Shen, Pew-Thian Yap

Medical Image Anal., 2019

XQ-SR: Joint <i>x</i>-<i>q</i> space super-resolution with application to infant diffusion MRI.

Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap

Medical Image Anal., 2019

DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks.

Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen

Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments.

Khoi Minh Huynh, Tiantian Xu, Ye Wu, Kim-Han Thung, Geng Chen, Weili Lin, Dinggang Shen, Pew-Thian Yap

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

Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments.

Khoi Minh Huynh, Tiantian Xu, Ye Wu, Geng Chen, Kim-Han Thung, Haiyong Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap

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

Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks.

Yoonmi Hong, Geng Chen, Pew-Thian Yap, Dinggang Shen

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

Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data.

Yoonmi Hong, Geng Chen, Pew-Thian Yap, Dinggang Shen

Proceedings of the Information Processing in Medical Imaging, 2019

2018

Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space.

Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap

Frontiers Neuroinformatics, 2018

2017

Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI.

Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen

NeuroImage, 2017

Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases.

Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI.

Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

q-Space Upsampling Using x-q Space Regularization.

Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Denoising magnetic resonance images using collaborative non-local means.

Geng Chen, Pei Zhang, Yafeng Wu, Dinggang Shen, Pew-Thian Yap

Neurocomputing, 2016

Embarrassingly Parallel Acceleration of Global Tractography via Dynamic Domain Partitioning.

Haiyong Wu, Geng Chen, Yan Jin, Dinggang Shen, Pew-Thian Yap

Frontiers Neuroinformatics, 2016

Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency.

Behrouz Saghafi, Geng Chen, Feng Shi, Pew-Thian Yap, Dinggang Shen

Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data.

Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

XQ-NLM: Denoising Diffusion MRI Data via x-q Space Non-local Patch Matching.

Geng Chen, Yafeng Wu, Dinggang Shen, Pew-Thian Yap

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

Block-Based Statistics for Robust Non-parametric Morphometry.

Geng Chen, Pei Zhang, Ke Li, Chong-Yaw Wee, Yafeng Wu, Dinggang Shen, Pew-Thian Yap

Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Collaborative non-local means denoising of magnetic resonance images.

Geng Chen, Pei Zhang, Yafeng Wu, Dinggang Shen, Pew-Thian Yap

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015