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ORCIDYanwu Yang 0001
Person information
- affiliation: University Hospital Tübingen, Department of Psychiatry and Psychotherapy, Tübingen, Germany
- affiliation: Harbin Institute of Technology at Shenzhen, Department of Electronic and Information Engineering, Shenzhen, China
Other persons with the same name
- Yanwu Yang — disambiguation page
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2020 – today
- 2026
[c25]Jiesi Hu, Jianfeng Cao, Yanwu Yang, Chenfei Ye, Yixuan Zhang, Hanyang Peng, Ting Ma:
Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancement. AAAI 2026: 4869-4877- [c24]Yanwu Yang, Guinan Su, Jiesi Hu, Francesco Sammarco, Jonas Geiping, Thomas Wolfers:
MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation. AAAI 2026: 11757-11765 - [i26]Kunyu Zhang, Yanwu Yang, Jing Zhang, Xiangjie Shi, Shujian Yu:
PIME: Prototype-based Interpretable MCTS-Enhanced Brain Network Analysis for Disorder Diagnosis. CoRR abs/2602.21046 (2026) - [i25]Yingxu Wang, Kunyu Zhang, Yanwu Yang, Thomas Wolfers, Yujie Wu, Siyang Gao, Nan Yin:
When Brain Networks Travel: Learning Beyond Site. CoRR abs/2605.06050 (2026) - [i24]Guinan Su, Yanwu Yang, Xueyan Li, Jonas Geiping
:
Multi-Stream LLMs: Unblocking Language Models with Parallel Streams of Thoughts, Inputs and Outputs. CoRR abs/2605.12460 (2026) - [i23]Hairui Chen, Yanwu Yang, Jianfeng Cao, Hanyang Peng, Chenfei Ye, Ting Ma:
Progressive Self-Supervised Learning with Individualized Community Assignment for Brain Network Analysis. CoRR abs/2606.29695 (2026) - [i22]Yunzhou Li, Jiesi Hu, Yanwu Yang, Hanyang Peng, Chenfei Ye, Jianfeng Cao, Yixuan Yuan, Ting Ma:
UniMedSeg: Unified In-Context Learning for Multi-Paradigm 2D/3D Medical Image Segmentation. CoRR abs/2607.12896 (2026) - 2025
- [j11]Xutao Guo, Chenfei Ye, Mingkai Zhang, Xingyu Hao, Yanwu Yang, Yue Yu, Heather Ting Ma, Ying Han:
A Structure-Preserving Denoising Diffusion Model for AV45 PET Quantification Without MRI in Alzheimer's Disease Diagnosis. Int. J. Imaging Syst. Technol. 35(3) (2025) - [j10]Teddy J. Akiki, Leanne M. Williams, Thomas Wolfers, Yanwu Yang, Daniel Stahl, Claire M. Gillan:
Transforming psychiatry with computational and brain-based methods. Nat. Comput. Sci. 5(10): 844-847 (2025) - [j9]Guoqing Cai, Yiyi Chen, Bolun Yang, Yanwu Yang, Ting Ma, Yilong Wang:
CGNet: A Complex-valued Graph Network for jointly learning amplitude-phase information in EEG-based brain-computer interfaces. Neural Networks 191: 107795 (2025) - [j8]Xutao Guo, Mengqi Wang, Yang Xiang, Yanwu Yang, Chenfei Ye, Haijun Wang, Heather Ting Ma:
Uncertainty Driven Adaptive Self-Knowledge Distillation for Medical Image Segmentation. IEEE Trans. Emerg. Top. Comput. Intell. 9(5): 3455-3468 (2025) - [j7]Yanwu Yang, Chenfei Ye, Guoqing Cai, Kun-Ru Song, Jintao Zhang, Yang Xiang, Heather Ting Ma:
Hypercomplex Graph Neural Network: Towards Deep Intersection of Multi-Modal Brain Networks. IEEE J. Biomed. Health Informatics 29(5): 3304-3316 (2025) - [c23]Jiesi Hu, Hanyang Peng, Yanwu Yang, Xutao Guo, Yang Shang, Pengcheng Shi, Chenfei Ye, Ting Ma:
Neuroverse3D: Developing in-Context Learning Universal Model for Neuroimaging in 3D. ICCV 2025: 21721-21731 - [c22]Yanwu Yang, Thomas Wolfers:
Hierarchical Characterization of Brain Dynamics via State Space-Based Vector Quantization. MICCAI (12) 2025: 394-404 - [i21]Jiesi Hu, Hanyang Peng, Yanwu Yang, Xutao Guo, Yang Shang, Pengcheng Shi, Chenfei Ye, Ting Ma:
Building 3D In-Context Learning Universal Model in Neuroimaging. CoRR abs/2503.02410 (2025) - [i20]Guinan Su, Li Shen, Lu Yin, Shiwei Liu, Yanwu Yang, Jonas Geiping:
GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching. CoRR abs/2506.20480 (2025) - [i19]Yanwu Yang, Thomas Wolfers:
Hierarchical Characterization of Brain Dynamics via State Space-based Vector Quantization. CoRR abs/2506.22952 (2025) - [i18]Yanwu Yang, Guinan Su, Jiesi Hu, Francesco Sammarco, Jonas Geiping, Thomas Wolfers:
MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation. CoRR abs/2508.11032 (2025) - [i17]Jiesi Hu, Jianfeng Cao, Yanwu Yang, Chenfei Ye, Yixuan Zhang, Hanyang Peng, Ting Ma:
Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancement. CoRR abs/2509.09232 (2025) - [i16]Jiesi Hu, Yanwu Yang, Zhiyu Ye, Chenfei Ye, Hanyang Peng, Jianfeng Cao, Ting Ma:
Towards Robust In-Context Learning for Medical Image Segmentation via Data Synthesis. CoRR abs/2509.19711 (2025) - [i15]Jiesi Hu, Yanwu Yang, Zhiyu Ye, Jinyan Zhou, Jianfeng Cao, Hanyang Peng, Ting Ma:
Efficient Universal Models for Medical Image Segmentation via Weakly Supervised In-Context Learning. CoRR abs/2510.05899 (2025) - [i14]Guinan Su, Yanwu Yang, Li Shen, Lu Yin, Shiwei Liu, Jonas Geiping:
Rewiring Experts on the Fly:Continuous Rerouting for Better Online Adaptation in Mixture-of-Expert models. CoRR abs/2510.14853 (2025) - [i13]Na Gao, Chenfei Ye, Yanwu Yang, Anqi Li, Zhengbo He, Li Liang, Zhiyuan Liu, Xingyu Hao, Ting Ma, Tengfei Guo:
HippMetric: A skeletal-representation-based framework for cross-sectional and longitudinal hippocampal substructural morphometry. CoRR abs/2512.19214 (2025) - 2024
- [j6]Xutao Guo, Yang Xiang, Yanwu Yang, Chenfei Ye, Yue Yu, Heather Ting Ma:
Accelerating denoising diffusion probabilistic model via truncated inverse processes for medical image segmentation. Comput. Biol. Medicine 180: 108933 (2024) - [j5]Jiesi Hu, Yanwu Yang, Xutao Guo, Ting Ma, Jinghua Wang:
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation. IEEE J. Biomed. Health Informatics 28(9): 5473-5486 (2024) - [j4]Yanwu Yang, Chenfei Ye, Xutao Guo, Tao Wu, Yang Xiang, Heather Ting Ma:
Mapping Multi-Modal Brain Connectome for Brain Disorder Diagnosis via Cross-Modal Mutual Learning. IEEE Trans. Medical Imaging 43(1): 108-121 (2024) - [j3]Yanwu Yang, Chenfei Ye, Guinan Su, Ziyao Zhang, Zhikai Chang, Hairui Chen, Piu Chan, Yue Yu, Ting Ma:
BrainMass: Advancing Brain Network Analysis for Diagnosis With Large-Scale Self-Supervised Learning. IEEE Trans. Medical Imaging 43(11): 4004-4016 (2024) - [c21]Xutao Guo, Yanwu Yang, Chenfei Ye, Guoqing Cai, Ting Ma:
CALSeg: Improving Calibration of Medical Image Segmentation Via Variational Label Smoothing. ICASSP 2024: 1601-1605 - [c20]Yanwu Yang, Xutao Guo, Guoqing Cai, Chenfei Ye, Ting Ma:
Topology-Regularized Self-Knowledge Distillation for Transductive-Inductive Learning of Brain Disorder Diagnosis. ICASSP 2024: 4045-4049 - [c19]Pengcheng Shi, Jiesi Hu, Yanwu Yang, Zilve Gao, Wei Liu, Ting Ma:
Centerline Boundary Dice Loss for Vascular Segmentation. MICCAI (8) 2024: 46-56 - [c18]Yanwu Yang, Hairui Chen, Jiesi Hu, Xutao Guo, Ting Ma:
Advancing Brain Imaging Analysis Step-by-Step via Progressive Self-paced Learning. MICCAI (11) 2024: 58-68 - [c17]Jiesi Hu, Yang Shang, Yanwu Yang, Xutao Guo, Hanyang Peng, Ting Ma:
ICL-SAM: Synergizing In-context Learning Model and SAM in Medical Image Segmentation. MIDL 2024: 641-656 - [i12]Yanwu Yang, Chenfei Ye, Guinan Su, Ziyao Zhang, Zhikai Chang, Hairui Chen, Piu Chan, Yue Yu, Heather Ting Ma:
BrainMass: Advancing Brain Network Analysis for Diagnosis with Large-scale Self-Supervised Learning. CoRR abs/2403.01433 (2024) - [i11]Pengcheng Shi, Jiesi Hu, Yanwu Yang, Zilve Gao, Wei Liu, Ting Ma:
Centerline Boundary Dice Loss for Vascular Segmentation. CoRR abs/2407.01517 (2024) - [i10]Yanwu Yang, Hairui Chen, Jiesi Hu, Xutao Guo, Heather Ting Ma:
Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning. CoRR abs/2407.16128 (2024) - 2023
- [j2]Yanwu Yang, Xutao Guo, Chenfei Ye, Yang Xiang, Ting Ma:
CReg-KD: Model refinement via confidence regularized knowledge distillation for brain imaging. Medical Image Anal. 89: 102916 (2023) - [j1]Yanwu Yang, Chenfei Ye, Heather Ting Ma:
A deep connectome learning network using graph convolution for connectome-disease association study. Neural Networks 164: 91-104 (2023) - [c16]Yanwu Yang, Guoqing Cai, Chenfei Ye, Yang Xiang, Ting Ma:
Tensor-based Complex-valued Graph Neural Network for Dynamic Coupling Multimodal brain Networks. ICASSP 2023: 1-5 - [c15]Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Bo Peng, Hua Huang, Yang Xiang, Ting Ma:
Accelerating Diffusion Models Via Pre-Segmentation Diffusion Sampling for Medical Image Segmentation. ISBI 2023: 1-5 - [c14]Jiesi Hu, Yanwu Yang, Xutao Guo, Bo Peng, Hua Huang, Ting Ma:
DECOR-Net: A Covid-19 Lung Infection Segmentation Network Improved by Emphasizing Low-Level Features and Decorrelating Features. ISBI 2023: 1-5 - [c13]Yanwu Yang, Hairui Chen, Zhikai Chang, Yang Xiang, Chenfei Ye, Heather Ting Ma:
Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision. MIDL 2023: 1006-1018 - [i9]Jiesi Hu, Yanwu Yang, Xutao Guo, Ting Ma:
DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features. CoRR abs/2302.14277 (2023) - [i8]Pengcheng Shi, Xutao Guo, Yanwu Yang, Chenfei Ye, Heather Ting Ma:
NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation. CoRR abs/2305.15911 (2023) - [i7]Jiesi Hu, Yanwu Yang, Xutao Guo, Jinghua Wang, Heather Ting Ma:
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation. CoRR abs/2310.18087 (2023) - [i6]Guinan Su, Yanwu Yang, Zhifeng Li:
DualTalker: A Cross-Modal Dual Learning Approach for Speech-Driven 3D Facial Animation. CoRR abs/2311.04766 (2023) - [i5]Guinan Su, Yanwu Yang, Jie Guo:
Prompt Your Mind: Refine Personalized Text Prompts within Your Mind. CoRR abs/2311.05114 (2023) - 2022
- [c12]Xutao Guo, Shang Lu, Yanwu Yang, Pengcheng Shi, Chenfei Ye, Yang Xiang, Ting Ma:
Modeling Annotator Variation and Annotator Preference for Multiple Annotations Medical Image Segmentation. BIBM 2022: 977-984 - [c11]Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Ting Ma:
Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification. BIBM 2022: 1343-1349 - [c10]Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Haiyan Lv, Ting Ma:
Estimating Brain Age with Global and Local Dependencies. ICIP 2022: 56-60 - [c9]Yanwu Yang, Xutao Guo, Chenfei Ye, Yang Xiang, Ting Ma:
Regularizing Brain Age Prediction via Gated Knowledge Distillation. MIDL 2022: 1430-1443 - [i4]Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Haiyan Lv, Ting Ma:
Estimating Brain Age with Global and Local Dependencies. CoRR abs/2209.08933 (2022) - [i3]Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Ting Ma:
Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification. CoRR abs/2210.13721 (2022) - [i2]Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Yang Xiang, Ting Ma:
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation. CoRR abs/2210.17408 (2022) - 2021
- [c8]Yanwu Yang, Xutao Guo, Yiwei Pan, Pengcheng Shi, Haiyan Lv, Ting Ma:
Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net. BrainLes@MICCAI (2) 2021: 570-577 - [c7]Xutao Guo, Yanwu Yang, Ting Ma:
FS-Net: A New Paradigm of Data Expansion for Medical Image Segmentation. DGM4MICCAI/DALI@MICCAI 2021: 217-225 - [i1]Yanwu Yang, Xutao Guo, Yiwei Pan, Pengcheng Shi, Haiyan Lv, Ting Ma:
Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net. CoRR abs/2109.07045 (2021) - 2020
- [c6]Yanwu Yang, Chenfei Ye, Xutao Guo, Chushu Yang, Heather T. Ma:
Automatic Brain Mask Segmentation for Mono-modal MRI. ICBBB 2020: 124-128 - [c5]Yanwu Yang, Xutao Guo, Na Gao, Chenfei Ye, Heather T. Ma:
An Automatic Encoding and Decoding Method for Differentiating Alzheimer's Disease with Functional MRI. ICCAI 2020: 252-256
2010 – 2019
- 2019
- [c4]Chushu Yang, Xutao Guo, Tong Wang, Yanwu Yang, Nan Ji, Deling Li, Haiyan Lv, Ting Ma:
Automatic Brain Tumor Segmentation Method Based on Modified Convolutional Neural Network. EMBC 2019: 998-1001 - 2018
- [c3]Yan Wang, Yanwu Yang, Xin Guo, Chenfei Ye, Na Gao, Yuan Fang, Heather T. Ma:
A Novel Multimodal MRI Analysis for Alzheimer's Disease Based on Convolutional Neural Network. EMBC 2018: 754-757 - [c2]Xin Guo, Yanwu Yang, Yan Wang, Na Gao, Heather T. Ma:
The Correlation Analysis Between DTI Network Parameters and AVLT Scale Scores of Alzheimer's Disease. EMBC 2018: 1132-1135 - 2017
- [c1]Shuai Mao, Changle Zhang, Na Gao, Yan Wang, Yanwu Yang, Xin Guo, Ting Ma:
A study of feature extraction for Alzheimer's disease based on resting-state fMRI. EMBC 2017: 517-520
Coauthor Index
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