Frequency Diverse Array Radar Beamforming Algorithm Based on FFT. - Xutao Guo; Qingxiang Zhang; Wei Wang (CSPS, 2017)

Analysis on Impact of Frequency Diverse Array Channel Errors on Beam Forming. - Qingxiang Zhang; Xutao Guo; Wei Wang (CSPS, 2017)

SeFM: A Sequential Feature Point Matching Algorithm for Object 3D Reconstruction. - Zhihao Fang; Xutao Guo; Xuemin Zhu; Ruixin Zhou; He Ma (CoRR, 2018)

Brain Tumor Segmentation Based on Attention Mechanism and Multi-model Fusion. - Xutao Guo; Chushu Yang; Ting Ma 001; PengZheng Zhou; Shangfeng Lu; Nan Ji; Deling Li; Tong Wang 010; Haiyan Lv (BrainLes@MICCAI (2), 2019)

Automatic Brain Tumor Segmentation Method Based on Modified Convolutional Neural Network. - Chushu Yang; Xutao Guo; Tong Wang 010; Yanwu Yang; Nan Ji; Deling Li; Haiyan Lv; Ting Ma 001 (EMBC, 2019)

U-net combined with CRF and anatomical based spatial features to segment white matter hyperintensities. - PengZheng Zhou; Li Liang; Xutao Guo; Haiyan Lv; Tong Wang 010; Ting Ma 001 (EMBC, 2020)

Automatic Brain Mask Segmentation for Mono-modal MRI. - Yanwu Yang; Chenfei Ye; Xutao Guo; Chushu Yang; Heather T. Ma (ICBBB, 2020)

An Automatic Encoding and Decoding Method for Differentiating Alzheimer's Disease with Functional MRI. - Yanwu Yang; Xutao Guo; Na Gao; Chenfei Ye; Heather T. Ma (ICCAI, 2020)

Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net. - Yanwu Yang; Xutao Guo; Yiwei Pan; Pengcheng Shi; Haiyan Lv; Ting Ma 001 (BrainLes@MICCAI (2), 2021)

FS-Net: A New Paradigm of Data Expansion for Medical Image Segmentation. - Xutao Guo; Yanwu Yang; Ting Ma 001 (DGM4MICCAI/DALI@MICCAI, 2021)

An anatomical knowledge-based MRI deep learning pipeline for white matter hyperintensity quantification associated with cognitive impairment. - Li Liang; PengZheng Zhou; Wanxin Lu; Xutao Guo; Chenfei Ye; Haiyan Lv; Tong Wang 010; Ting Ma 001 (Comput. Medical Imaging Graph., 2021)

Modeling Annotator Variation and Annotator Preference for Multiple Annotations Medical Image Segmentation. - Xutao Guo; Shang Lu; Yanwu Yang; Pengcheng Shi; Chenfei Ye; Yang Xiang 003; Ting Ma 001 (BIBM, 2022)

Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification. - Yanwu Yang; Xutao Guo; Zhikai Chang; Chenfei Ye; Yang Xiang 003; Ting Ma 001 (BIBM, 2022)

Estimating Brain Age with Global and Local Dependencies. - Yanwu Yang; Xutao Guo; Zhikai Chang; Chenfei Ye; Yang Xiang 003; Haiyan Lv; Ting Ma 001 (ICIP, 2022)

Regularizing Brain Age Prediction via Gated Knowledge Distillation. - Yanwu Yang; Xutao Guo; Chenfei Ye; Yang Xiang 003; Ting Ma 001 (MIDL, 2022)

Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation. - Xutao Guo; Yanwu Yang; Chenfei Ye; Shang Lu; Yang Xiang 003; Ting Ma 001 (CoRR, 2022)

Joint Learning Annotator Calibration and Annotator Preference for Multiple Annotations Optic Disc and Cup Segmentation. - Xutao Guo; Pengcheng Shi; Shang Lu; Chenfei Ye; Ting Ma 001 (ISBI, 2023)

Accelerating Diffusion Models Via Pre-Segmentation Diffusion Sampling for Medical Image Segmentation. - Xutao Guo; Yanwu Yang; Chenfei Ye; Shang Lu; Bo Peng; Hua Huang; Yang Xiang 003; Ting Ma 001 (ISBI, 2023)

DECOR-Net: A Covid-19 Lung Infection Segmentation Network Improved by Emphasizing Low-Level Features and Decorrelating Features. - Jiesi Hu; Yanwu Yang; Xutao Guo; Bo Peng; Hua Huang; Ting Ma 001 (ISBI, 2023)

DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features. - Jiesi Hu; Yanwu Yang; Xutao Guo; Ting Ma 001 (CoRR, 2023)

NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation. - Pengcheng Shi; Xutao Guo; Yanwu Yang; Chenfei Ye; Heather Ting Ma (CoRR, 2023)

CReg-KD: Model refinement via confidence regularized knowledge distillation for brain imaging. - Yanwu Yang; Xutao Guo; Chenfei Ye; Yang Xiang 003; Ting Ma 001 (Medical Image Anal., 2023)

CALSeg: Improving Calibration of Medical Image Segmentation Via Variational Label Smoothing. - Xutao Guo; Yanwu Yang; Chenfei Ye; Guoqing Cai; Ting Ma 001 (ICASSP, 2024)

Topology-Regularized Self-Knowledge Distillation for Transductive-Inductive Learning of Brain Disorder Diagnosis. - Yanwu Yang; Xutao Guo; Guoqing Cai; Chenfei Ye; Ting Ma 001 (ICASSP, 2024)

Advancing Brain Imaging Analysis Step-by-Step via Progressive Self-paced Learning. - Yanwu Yang; Hairui Chen; Jiesi Hu; Xutao Guo; Ting Ma 001 (MICCAI (11), 2024)

ICL-SAM: Synergizing In-context Learning Model and SAM in Medical Image Segmentation. - Jiesi Hu; Yang Shang; Yanwu Yang; Xutao Guo; Hanyang Peng; Ting Ma (MIDL, 2024)

Accelerating denoising diffusion probabilistic model via truncated inverse processes for medical image segmentation. - Xutao Guo; Yang Xiang 003; Yanwu Yang; Chenfei Ye; Yue Yu 001; Heather Ting Ma (Comput. Biol. Medicine, 2024)

Mapping Multi-Modal Brain Connectome for Brain Disorder Diagnosis via Cross-Modal Mutual Learning. - Yanwu Yang; Chenfei Ye; Xutao Guo; Tao Wu; Yang Xiang 003; Heather Ting Ma (IEEE Trans. Medical Imaging, 2024)

A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation. - Jiesi Hu; Yanwu Yang; Xutao Guo; Ting Ma 001; Jinghua Wang (IEEE J. Biomed. Health Informatics, 2024)

A Structure-Preserving Denoising Diffusion Model for AV45 PET Quantification Without MRI in Alzheimer's Disease Diagnosis. - Xutao Guo; Chenfei Ye; Mingkai Zhang; Xingyu Hao; Yanwu Yang; Yue Yu 001; Heather Ting Ma; Ying Han (Int. J. Imaging Syst. Technol., 2025)

Building 3D In-Context Learning Universal Model in Neuroimaging. - Jiesi Hu; Hanyang Peng; Yanwu Yang; Xutao Guo; Yang Shang; Pengcheng Shi; Chenfei Ye; Ting Ma 001 (CoRR, 2025)