Collaborative non-local means denoising of magnetic resonance images. - Geng Chen 001; Pei Zhang 002; Yafeng Wu; Dinggang Shen; Pew-Thian Yap (ISBI, 2015)

Block-Based Statistics for Robust Non-parametric Morphometry. - Geng Chen 001; Pei Zhang 002; Ke Li; Chong-Yaw Wee; Yafeng Wu; Dinggang Shen; Pew-Thian Yap (Patch-MI@MICCAI, 2015)

XQ-NLM: Denoising Diffusion MRI Data via x-q Space Non-local Patch Matching. - Geng Chen 001; Yafeng Wu; Dinggang Shen; Pew-Thian Yap (MICCAI (3), 2016)

A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data. - Islem Rekik; Gang Li 001; Pew-Thian Yap; Geng Chen 001; Weili Lin; Dinggang Shen (MICCAI (1), 2016)

Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency. - Behrouz Saghafi; Geng Chen 001; Feng Shi 001; Pew-Thian Yap; Dinggang Shen (Patch-MI@MICCAI, 2016)

Embarrassingly Parallel Acceleration of Global Tractography via Dynamic Domain Partitioning. - Haiyong Wu; Geng Chen 001; Yan Jin 001; Dinggang Shen; Pew-Thian Yap (Frontiers Neuroinformatics, 2016)

Denoising magnetic resonance images using collaborative non-local means. - Geng Chen 001; Pei Zhang 002; Yafeng Wu; Dinggang Shen; Pew-Thian Yap (Neurocomputing, 2016)

q-Space Upsampling Using x-q Space Regularization. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Dinggang Shen; Pew-Thian Yap (MICCAI (1), 2017)

Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Dinggang Shen; Pew-Thian Yap (MICCAI (1), 2017)

Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases. - Jaeil Kim; Geng Chen 001; Weili Lin; Pew-Thian Yap; Dinggang Shen (MICCAI (1), 2017)

Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI. - Islem Rekik; Gang Li 001; Pew-Thian Yap; Geng Chen 001; Weili Lin; Dinggang Shen (NeuroImage, 2017)

Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Weili Lin; Dinggang Shen; Pew-Thian Yap (Frontiers Neuroinformatics, 2018)

Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data. - Yoonmi Hong; Geng Chen 001; Pew-Thian Yap; Dinggang Shen (IPMI, 2019)

Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks. - Yoonmi Hong; Geng Chen 001; Pew-Thian Yap; Dinggang Shen (MICCAI (3), 2019)

Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Geng Chen 001; Kim-Han Thung; Haiyong Wu; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (3), 2019)

Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Kim-Han Thung; Geng Chen 001; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (3), 2019)

DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. - Feihong Liu; Jun Feng 003; Geng Chen 001; Ye Wu 001; Yoonmi Hong; Pew-Thian Yap; Dinggang Shen (GLMI@MICCAI, 2019)

XQ-SR: Joint x-q space super-resolution with application to infant diffusion MRI. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Weili Lin; Dinggang Shen; Pew-Thian Yap (Medical Image Anal., 2019)

Noise reduction in diffusion MRI using non-local self-similar information in joint x-q space. - Geng Chen 001; Yafeng Wu; Dinggang Shen; Pew-Thian Yap (Medical Image Anal., 2019)

Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation. - Yongqin Zhang; Pew-Thian Yap; Geng Chen 001; Weili Lin; Li Wang 026; Dinggang Shen (Medical Image Anal., 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 026; Kristine Baluyot; Essa Yacoub; Geng Chen 001; Taylor Potts; Andrew P. Salzwedel; Gang Li 001; John H. Gilmore; et al. (NeuroImage, 2019)

Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Weili Lin; 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 001; Weili Lin; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Medical Imaging, 2019)

Multi-Site Harmonization of Diffusion MRI Data via Method of Moments. - Khoi Minh Huynh; Geng Chen 001; Ye Wu 001; Dinggang Shen; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2019)

MAS3K: An Open Dataset for Marine Animal Segmentation. - Lin Li 057; Eric Rigall; Junyu Dong; Geng Chen 001 (Bench, 2020)

Automatic Polyp Segmentation via Parallel Reverse Attention Network. - Ge-Peng Ji; Deng-Ping Fan; Tao Zhou 002; Geng Chen 001; Huazhu Fu; Ling Shao 001 (MediaEval, 2020)

Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks. - Geng Chen 001; Yoonmi Hong; Yongqin Zhang; Jaeil Kim; Khoi Minh Huynh; Jiquan Ma; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (7), 2020)

PraNet: Parallel Reverse Attention Network for Polyp Segmentation. - Deng-Ping Fan; Ge-Peng Ji; Tao Zhou 002; Geng Chen 001; Huazhu Fu; Jianbing Shen; Ling Shao 001 (MICCAI (6), 2020)

Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE). - Yoonmi Hong; Wei-Tang Chang; Geng Chen 001; Ye Wu 001; Weili Lin; Dinggang Shen; Pew-Thian Yap (CoRR, 2020)

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans. - Deng-Ping Fan; Tao Zhou 002; Ge-Peng Ji; Yi Zhou 007; Geng Chen 001; Huazhu Fu; Jianbing Shen; Ling Shao 001 (CoRR, 2020)

Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images. - Deng-Ping Fan; Tao Zhou 002; Ge-Peng Ji; Yi Zhou 007; Geng Chen 001; Huazhu Fu; Jianbing Shen; Ling Shao 001 (IEEE Trans. Medical Imaging, 2020)

Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2020)

Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis. - Tao Zhou 002; Huazhu Fu; Geng Chen 001; Jianbing Shen; Ling Shao 001 (IEEE Trans. Medical Imaging, 2020)

24 shells diffusion MRI. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

24-shell diffusion MRI data. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

24-shell diffusion MRI data. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

24-shell diffusion MRI data. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. - Chun-Mei Feng 001; Zhanyuan Yang; Geng Chen 001; Yong Xu 001; Ling Shao 001 (AAAI, 2021)

Learning Synergistic Attention for Light Field Salient Object Detection. - Yi Zhang 076; Geng Chen 001; Qian Chen; Yujia Sun; Yong Xia 001; Olivier Déforges; Wassim Hamidouche; Lu Zhang 037 (BMVC, 2021)

Specificity-preserving RGB-D Saliency Detection. - Tao Zhou 002; Huazhu Fu; Geng Chen 001; Yi Zhou 007; Deng-Ping Fan; Ling Shao 001 (ICCV, 2021)

Context-aware Cross-level Fusion Network for Camouflaged Object Detection. - Yujia Sun; Geng Chen 001; Tao Zhou 002; Yi Zhang 076; Nian Liu (IJCAI, 2021)

Progressively Normalized Self-Attention Network for Video Polyp Segmentation. - Ge-Peng Ji; Yu-Cheng Chou; Deng-Ping Fan; Geng Chen 001; Huazhu Fu; Debesh Jha; Ling Shao 001 (MICCAI (1), 2021)

Learning Synergistic Attention for Light Field Salient Object Detection. - Yi Zhang 076; Geng Chen 001; Qian Chen; Yujia Sun; Olivier Déforges; Wassim Hamidouche; Lu Zhang 037 (CoRR, 2021)

Accelerated Multi-Modal MR Imaging with Transformers. - Chun-Mei Feng 001; Yunlu Yan; Geng Chen 001; Huazhu Fu; Yong Xu 001; Ling Shao 001 (CoRR, 2021)

Towards accurate RGB-D saliency detection with complementary attention and adaptive integration. - Hongbo Bi; Zi-Qi Liu; Kang Wang; Bo Dong 001; Geng Chen 001; Jiquan Ma (Neurocomputing, 2021)

BCNet: Bidirectional collaboration network for edge-guided salient object detection. - Bo Dong 001; Yan Zhou; Chuanfei Hu; Keren Fu; Geng Chen 001 (Neurocomputing, 2021)

COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework. - Jiannan Liu; Bo Dong 001; Shuai Wang 038; Hui Cui 002; Deng-Ping Fan; Jiquan Ma; Geng Chen 001 (Medical Image Anal., 2021)

Gaussianization of Diffusion MRI Data Using Spatially Adaptive Filtering. - Feihong Liu; Jun Feng 003; Geng Chen 001; Dinggang Shen; Pew-Thian Yap (Medical Image Anal., 2021)

EF-Net: A novel enhancement and fusion network for RGB-D saliency detection. - Qian Chen; Keren Fu; Ze Liu; Geng Chen 001; Hongwei Du 004; Bensheng Qiu; Ling Shao 001 (Pattern Recognit., 2021)

Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data. - Geng Chen 001; Haotian Jiang; Jiannan Liu; Jiquan Ma; Hui Cui 002; Yong Xia 001; Pew-Thian Yap (MICCAI (1), 2022)

DC2U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net. - Haoran Yin; Pengbo Xu; Hui Cui 002; Geng Chen 001; Jiquan Ma (CDMRI@MICCAI, 2022)

Video Polyp Segmentation: A Deep Learning Perspective. - Ge-Peng Ji; Guobao Xiao; Yu-Cheng Chou; Deng-Ping Fan; Kai Zhao; Geng Chen 001; Huazhu Fu; Luc Van Gool (CoRR, 2022)

Video Polyp Segmentation: A Deep Learning Perspective. - Ge-Peng Ji; Guobao Xiao; Yu-Cheng Chou; Deng-Ping Fan; Kai Zhao; Geng Chen 001; Luc Van Gool (Int. J. Autom. Comput., 2022)

BSCA-Net: Bit Slicing Context Attention network for polyp segmentation. - Yi Lin; Jichun Wu; Guobao Xiao; Junwen Guo; Geng Chen 001; Jiayi Ma 001 (Pattern Recognit., 2022)

Camouflaged Object Detection via Context-Aware Cross-Level Fusion. - Geng Chen 001; Sijie Liu; Yujia Sun; Ge-Peng Ji; Ya-Feng Wu; Tao Zhou 002 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Marine Animal Segmentation. - Lin Li 057; Bo Dong 001; Eric Rigall; Tao Zhou 002; Junyu Dong; Geng Chen 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Domain-Adversarial Transformer Network for Multiphase Liver Tumor Segmentation. - Yangfan Ni; Geng Chen 001; Zhan Feng; Heng Cui 001; Dimitris N. Metaxas; Shaoting Zhang 001; Wentao Zhu 002 (EMBC, 2023)

Phase Difference Network for Efficient Differentiation of Hepatic Tumors with Multi-Phase CT. - Yuanfeng Wu; Geng Chen 001; Zhan Feng; Heng Cui 001; Fan Rao; Yangfan Ni; Zhongke Huang; Wentao Zhu 002 (EMBC, 2023)

Dichotomous Image Segmentation with Frequency Priors. - Yan Zhou; Bo Dong 001; Yuanfeng Wu; Wentao Zhu 002; Geng Chen 001; Yanning Zhang 001 (IJCAI, 2023)

Super-Resolution Reconstruction of Fetal Brain MRI with Prior Anatomical Knowledge. - Shijie Huang; Geng Chen 001; Kaicong Sun; Zhiming Cui; Xukun Zhang; Peng Xue; Xuan Zhang; He Zhang; Dinggang Shen (IPMI, 2023)

Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer. - Junqing Yang; Haotian Jiang; Tewodros Tassew; Peng Sun; Jiquan Ma; Yong Xia 001; Pew-Thian Yap; Geng Chen 001 (MICCAI (8), 2023)

Heterogeneous Graph Attribute Completion via Efficient Meta-path Context-Aware Learning. - Lijun Zhang; Geng Chen 001; Qingyue Wang; Peng Wang 015 (PRCV (9), 2023)

Pre-train, Adapt and Detect: Multi-Task Adapter Tuning for Camouflaged Object Detection. - Yinghui Xing; Dexuan Kong; Shizhou Zhang; Geng Chen 001; Lingyan Ran; Peng Wang 015; Yanning Zhang 001 (CoRR, 2023)

Specificity-preserving RGB-D saliency detection. - Tao Zhou 002; Deng-Ping Fan; Geng Chen 001; Yi Zhou 007; Huazhu Fu (Comput. Vis. Media, 2023)

TC-YOLOv5: rapid detection of floating debris on raspberry Pi 4B. - Shun Li; Shubo Liu; Zhaohui Cai; Yuan Liu; Geng Chen 001; Guoqing Tu (J. Real Time Image Process., 2023)

BiT-MAC: Mortality prediction by bidirectional time and multi-feature attention coupled network on multivariate irregular time series. - Qinfen Wang; Geng Chen 001; Xuting Jin; Siyuan Ren; Gang Wang; Longbing Cao; Yong Xia 001 (Comput. Biol. Medicine, 2023)

Deep learning prediction of diffusion MRI data with microstructure-sensitive loss functions. - Geng Chen 001; Yoonmi Hong; Khoi Minh Huynh; Pew-Thian Yap (Medical Image Anal., 2023)

Automatic Schelling Point Detection From Meshes. - Geng Chen 001; Hang Dai; Tao Zhou 002; Jianbing Shen; Ling Shao 001 (IEEE Trans. Vis. Comput. Graph., 2023)

Multimodal Transformer for Accelerated MR Imaging. - Chun-Mei Feng 001; Yunlu Yan; Geng Chen 001; Yong Xu 001; Ying Hu; Ling Shao 001; Huazhu Fu (IEEE Trans. Medical Imaging, 2023)

Improved polar complex exponential transform for robust local image description. - Zhanlong Yang; Linzhi Yang; Geng Chen 001; Pew-Thian Yap (Pattern Recognit., 2023)

Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces. - Geng Chen 001; Jie Qin; Boulbaba Ben Amor; Weiming Zhou; Hang Dai; Tao Zhou 002; Heyuan Huang; Ling Shao 001 (IEEE Trans. Medical Imaging, 2023)

Hierarchical cumulative network for unsupervised medical image registration. - Xinke Ma; Jiang He; Xing Liu; Qin Liu; Geng Chen 001; Bo Yuan; Changyang Li; Yong Xia 001 (Comput. Biol. Medicine, 2023)

Federated adaptive reweighting for medical image classification. - Benteng Ma; Yu Feng; Geng Chen 001; Changyang Li; Yong Xia 001 (Pattern Recognit., 2023)

Unsupervised Super-Resolution of Diffusion-Weighted Images via Deep Diffusion Prior. - Geng Chen 001; Hao Yang 032; Runlin Zhang; Musa Bakarr; Yong Xia 001; Pew-Thian Yap (BIBM, 2024)

Multi-Modal Brain Graph Learning of Shared-Specific Features for Schizophrenia Diagnosis. - Yin Huang; Geng Chen 001; Xuyun Wen; Dinggang Shen (BIBM, 2024)

MedSegViG: Medical Image Segmentation with a Vision Graph Neural Network. - Xinhong Li; Geng Chen 001; Yuanfeng Wu; Junqing Yang; Tao Zhou 002; Yi Zhou 007; Wentao Zhu 002 (BIBM, 2024)

Microstructure Estimation Using Synergistic Dual-path Hybrid Network. - Jiquan Ma; Jian Cao; Junqing Yang; Siqi Wang; Geng Chen 001 (BIBM, 2024)

Decoding White Matter Fiber ODFs: A Mixture Learning Framework in x-q Space. - Jiquan Ma; Chengdong Deng; Geng Chen 001; Haotian Jiang; Shijie Huang; Jaeil Kim; Xuyun Wen; Dinggang Shen (BIBM, 2024)

Super-resolved Estimation of White Matter Microstructure via 3D Conditional Latent Diffusion Model. - Jiquan Ma; Yihang Gao; Haotian Jiang; Jing Gu; Diliara Khairullina; Hui Cui 002; Geng Chen 001 (BIBM, 2024)

Resolution Enhancement of Diffusion-Weighted Images via Unified x-q Space Learning. - Jiquan Ma; Siqi Wang; Runlin Zhang; Jian Cao; Geng Chen 001 (BIBM, 2024)

Scalable and Efficient Multigraph Integration with Sparse-Clustered Deep Graph Normalization. - Bethlehem Megabiaw Tassew; Muhammad Adeel Ijaz; Geng Chen 001; Islem Rekik (BIBM, 2024)

ST-GF: Graph-based Fusion of Spatial and Temporal Features for EEG Motor Imagery Decoding. - Xuhui Wang; Kui Zhao; Enze Shi; Sigang Yu; Geng Chen 001; Shu Zhang 001 (BIBM, 2024)

Cross-Atlas Brain Connectivity Mapping with Dual-Conditional Diffusion Model. - Runlin Zhang; Geng Chen 001; Chengdong Deng; Jiquan Ma; Islem Rekik (BIBM, 2024)

Self-Supervised Denoising of Diffusion MRI Data Via Spatio-Angular Noise2Noise. - Haotian Jiang; Shu Zhang 001; Xuyun Wen; Hui Cui 002; Jun Lu; Islem Rekik; Jiquan Ma; Geng Chen 001 (ISBI, 2024)

MM-DCNet: A Multi-Scale and Multi-MOdality Dynamic Convolutional Network for Lung Cancer Subtypes Classification. - Gege Ma; Yuan Jin; Tianling Lyu; Geng Chen 001; Zhuoxuan Wu; Jiaqi Zhao; Wentao Zhu 002 (ISBI, 2024)

Towards Accurate Fetal Brain Parcellation via Hierarchical Network and Loss. - Shijie Huang; Kai Zhang 039; Jiawei Huang; Lingnan Kong; Fangmei Zhu; Zhongxiang Ding; Geng Chen 001; Dinggang Shen (PIPPI@MICCAI, 2024)

Super-Resolution of Diffusion-Weighted Images via TDI-Conditioned Diffusion Model. - Jiquan Ma; Yujun Teng; Geng Chen 001; Haotian Jiang; Kai Zhang 039; Feihong Liu; Islem Rekik; Dinggang Shen (CDMRI@MICCAI, 2024)

SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues. - Yuxin Xie; Tao Zhou 002; Yi Zhou 007; Geng Chen 001 (MICCAI (8), 2024)

Rethinking Fetal Brain Atlas Construction: A Deep Learning Perspective. - Kai Zhang 039; Shijie Huang; Fangmei Zhu; Zhongxiang Ding; Geng Chen 001; Dinggang Shen (PIPPI@MICCAI, 2024)

Multi-Label MambaOut for Quality Assessment of Low-Field Pediatric Brain MR Images. - Yueyue Zhu; Haotian Jiang; Rongqing Cai; Geng Chen 001 (LISA@MICCAI, 2024)

One model, two brains: Automatic fetal brain extraction from MR images of twins. - Jian Chen; Ranlin Lu; Bin Jing; He Zhang; Geng Chen 001; Dinggang Shen (Comput. Medical Imaging Graph., 2024)

MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformer. - Geng Chen 001; Junqing Yang; Xiaozhou Pu; Ge-Peng Ji; Huan Xiong; Yongsheng Pan; Hengfei Cui; Yong Xia 001 (CoRR, 2024)

Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios. - Geng Chen 001; Qingyue Wang; Islem Rekik (CoRR, 2024)

CC-DCNet: Dynamic Convolutional Neural Network with Contrastive Constraints for Identifying Lung Cancer Subtypes on Multi-modality Images. - Yuan Jin; Gege Ma; Geng Chen 001; Tianling Lyu; Jan Egger; Junhui Lyu; Shaoting Zhang 001; Wentao Zhu 002 (CoRR, 2024)

Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer. - Yanqing Kang; Di Zhu; Haiyang Zhang; Enze Shi; Sigang Yu; Jinru Wu; Xuhui Wang; Xuan Liu; Geng Chen 001; Xi Jiang 001; Tuo Zhang; Shu Zhang 001 (CoRR, 2024)

Classification of lung cancer subtypes on CT images with synthetic pathological priors. - Wentao Zhu 002; Yuan Jin; Gege Ma; Geng Chen 001; Jan Egger; Shaoting Zhang 001; Dimitris N. Metaxas (Medical Image Anal., 2024)

DA-Tran: Multiphase liver tumor segmentation with a domain-adaptive transformer network. - Yangfan Ni; Geng Chen 001; Zhan Feng; Heng Cui 001; Dimitris N. Metaxas; Shaoting Zhang 001; Wentao Zhu 002 (Pattern Recognit., 2024)

A novel non-pretrained deep supervision network for polyp segmentation. - Zhenni Yu; Li Zhao 005; Tangfei Liao; Xiaoqin Zhang 002; Geng Chen 001; Guobao Xiao (Pattern Recognit., 2024)

Fusion-Embedding Siamese Network for Light Field Salient Object Detection. - Geng Chen 001; Huazhu Fu; Tao Zhou 002; Guobao Xiao; Keren Fu; Yong Xia 001; Yanning Zhang 001 (IEEE Trans. Multim., 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 001; Dinggang Shen (IEEE J. Biomed. Health Informatics, 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 001; Dinggang Shen (IEEE Trans. Biomed. Eng., 2024)

Uncertainty-Aware Hierarchical Aggregation Network for Medical Image Segmentation. - Tao Zhou 002; Yi Zhou 007; Guangyu Li; Geng Chen 001; Jianbing Shen (IEEE Trans. Circuits Syst. Video Technol., 2024)

Exploratory Training for Universal Lesion Detection: Enhancing Lesion Mining Quality Through Temporal Verification. - Xiaoyu Bai; Geng Chen 001; Benteng Ma; Changyang Li; Jingfeng Zhang; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2024)

Self-supervised Denoising of Diffusion MRI Data with Efficient Collaborative Diffusion Model. - Xiaoyu Bai; Haotian Jiang; Geng Chen 001 (IPMI (2), 2025)

Diffusion MAE: Paving the Way for Representation Learning of Diffusion MRI. - Haotian Jiang; Geng Chen 001 (IPMI (2), 2025)

Identifying influential nodes in brain networks via self-supervised graph-transformer. - Yanqing Kang; Di Zhu; Haiyang Zhang; Enze Shi; Sigang Yu; Jinru Wu; Ruoyang Wang; Geng Chen 001; Xi Jiang 001; Tuo Zhang; Shu Zhang 001 (Comput. Biol. Medicine, 2025)

Intelligent fault diagnosis of rotating machine via Expansive dual-attention fusion Transformer enhanced by semi-supervised learning. - Sijie Liu; Jin Li; Nan Zhou; Geng Chen 001; Kuan Lu; Yafeng Wu (Expert Syst. Appl., 2025)

NRD-Net: Non-local Residual Dense Network for Brain MR Image Super-Resolution. - Jian Chen; Mengting Guang; Geng Chen 001; Xiong Yao; Tewodros Megabiaw Tassew; Zhen Li; Zuoyong Li; He Zhang (Int. J. Imaging Syst. Technol., 2025)

Edge-aware Feature Aggregation Network for Polyp Segmentation. - Tao Zhou 002; Yizhe Zhang 001; Geng Chen 001; Yi Zhou 007; Ye Wu 001; Deng-Ping Fan (Mach. Intell. Res., 2025)

Lightweight Image Deblurring via Recurrent Gated Attention and Efficient Decoupling. - Jian Chen; Shilin Ye; Geng Chen 001; Meklit Mesfin Atlaw; Li Lin; Yanning Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

EM-Trans: Edge-Aware Multimodal Transformer for RGB-D Salient Object Detection. - Geng Chen 001; Qingyue Wang; Bo Dong 001; Ruitao Ma; Nian Liu; Huazhu Fu; Yong Xia 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)