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2020 – today
- 2026
[j10]Yuzhen Gao, Qianqian Wang, Yongheng Sun, Cui Wang, Yongquan Liang, Mingxia Liu:
Learning from heterogeneous structural MRI via collaborative domain adaptation for late-Life depression assessment. Neural Networks 201: 108911 (2026)- [j9]Meimei Yang
, Yongheng Sun, Qianqian Wang, Andrea Bozoki, Maureen Kohi, Mingxia Liu:
Hyperbolic Kernel Graph Neural Networks for Neurocognitive Decline Analysis From Multimodal Brain Imaging. IEEE Trans. Pattern Anal. Mach. Intell. 48(4): 4827-4841 (2026) - [j8]Yongheng Sun, Mingxia Liu, Chunfeng Lian:
MGAEPL: Multi-Granularity Automated and Editable Prompt Learning for brain tumor segmentation. Pattern Recognit. 172: 112509 (2026) - [i9]Mengqi Wu, Yongheng Sun, Qianqian Wang, Pew-Thian Yap, Mingxia Liu:
Unified Multi-Site Multi-Sequence Brain MRI Harmonization Enriched by Biomedical Semantic Style. CoRR abs/2601.08193 (2026) - [i8]Yongheng Sun, Jun Shu, Jianhua Ma, Fan Wang:
DuMeta++: Spatiotemporal Dual Meta-Learning for Generalizable Few-Shot Brain Tissue Segmentation Across Diverse Ages. CoRR abs/2602.07174 (2026) - [i7]Minhui Yu, Yongheng Sun, David S. Lalush, Jason P. Mihalik, Pew-Thian Yap, Mingxia Liu:
RelA-Diffusion: Relativistic Adversarial Diffusion for Multi-Tracer PET Synthesis from Multi-Sequence MRI. CoRR abs/2602.21345 (2026) - 2025
- [j7]Yuexi Gu, Jian Zu, Yongheng Sun, Louxin Zhang:
HIG-Syn: a hypergraph and interaction-aware multigranularity network for predicting synergistic drug combinations. Bioinform. 41(Supplement_1): i86-i95 (2025) - [j6]Xinmei Qiu, Yongheng Sun, Yilin Shi, Xujun Duan, Fan Wang, Jianhua Ma:
MetaExplainer: Revisit domain generalization of functional connectome analyses from the perspective of explainability. Medical Image Anal. 105: 103664 (2025) - [c8]Yongheng Sun, Mingxia Liu, Chunfeng Lian:
AEPL: Automated and Editable Prompt Learning for Brain Tumor Segmentation. ISBI 2025: 1-4 - [c7]Yongheng Sun, Yueh Z. Lee, Genevieve A. Woodard, Hongtu Zhu, Chunfeng Lian, Mingxia Liu:
R2Gen-Mamba: A Selective State Space Model for Radiology Report Generation. ISBI 2025: 1-4 - [c6]Cui Wang, Yongheng Sun, Minhui Yu, Yuzhen Gao, Mingxia Liu:
Prompt-Driven Multi-view Representation Learning for Clinical Progression Prediction of Significant Memory Concern. GRAIL/RIME@MICCAI 2025: 141-150 - [c5]Meimei Yang, Yongheng Sun, Qianqian Wang, Wei Wang, Hong-Jun Li, Mingxia Liu:
Hyperbolic Kernel GCN with Structure-Function Connectivity Coupling for Neurocognitive Impairment Analysis. MICCAI (12) 2025: 405-415 - [i6]Meimei Yang, Yongheng Sun, Qianqian Wang, Andrea Bozoki, Maureen Kohi, Mingxia Liu:
Hyperbolic Kernel Graph Neural Networks for Neurocognitive Decline Analysis from Multimodal Brain Imaging. CoRR abs/2507.02908 (2025) - [i5]Yuzhen Gao, Qianqian Wang, Yongheng Sun, Cui Wang, Yongquan Liang, Mingxia Liu:
Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment. CoRR abs/2507.22321 (2025) - 2024
- [j5]Duwei Dai, Caixia Dong, Qingsen Yan, Yongheng Sun, Chunyan Zhang, Zongfang Li, Songhua Xu:
I2U-Net: A dual-path U-Net with rich information interaction for medical image segmentation. Medical Image Anal. 97: 103241 (2024) - [c4]Xinmei Qiu, Fan Wang, Yongheng Sun, Chunfeng Lian, Jianhua Ma:
Towards Graph Neural Networks with Domain-Generalizable Explainability for fMRI-Based Brain Disorder Diagnosis. MICCAI (2) 2024: 454-464 - [i4]Yongheng Sun, Yueh Z. Lee, Genevieve A. Woodard, Hongtu Zhu, Chunfeng Lian, Mingxia Liu:
R2Gen-Mamba: A Selective State Space Model for Radiology Report Generation. CoRR abs/2410.18135 (2024) - [i3]Yongheng Sun, Mingxia Liu, Chunfeng Lian:
AEPL: Automated and Editable Prompt Learning for Brain Tumor Segmentation. CoRR abs/2410.19847 (2024) - 2023
- [j4]Duwei Dai, Yongheng Sun, Caixia Dong, Qingsen Yan, Zongfang Li, Songhua Xu:
Effectively fusing clinical knowledge and AI knowledge for reliable lung nodule diagnosis. Expert Syst. Appl. 230: 120634 (2023) - [j3]Yongheng Sun, Duwei Dai, Qianni Zhang, Yaqi Wang, Songhua Xu, Chunfeng Lian:
MSCA-Net: Multi-scale contextual attention network for skin lesion segmentation. Pattern Recognit. 139: 109524 (2023) - [c3]Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian:
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan. ICCV 2023: 21061-21071 - [c2]Zehua Ren, Yongheng Sun, Miaomiao Wang, Yuying Feng, Xianjun Li, Chao Jin, Jian Yang, Chunfeng Lian, Fan Wang:
Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning. MICCAI (5) 2023: 220-229 - [i2]Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian:
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan. CoRR abs/2308.06774 (2023) - [i1]Zehua Ren, Yongheng Sun, Miaomiao Wang, Yuying Feng, Xianjun Li, Chao Jin, Jian Yang, Chunfeng Lian, Fan Wang:
Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning. CoRR abs/2309.03440 (2023) - 2022
- [j2]Yongheng Sun, Duwei Dai, Songhua Xu:
Rethinking adversarial domain adaptation: Orthogonal decomposition for unsupervised domain adaptation in medical image segmentation. Medical Image Anal. 82: 102623 (2022) - 2021
- [j1]Hong Liu, Yongheng Sun, Ge Yang, Yang Chen:
Binaural sound source localization based on weighted template matching. CAAI Trans. Intell. Technol. 6(2): 214-223 (2021) - 2020
- [c1]Hong Liu, Yongheng Sun, Yidi Li, Bing Yang:
3D Audio-Visual Speaker Tracking with A Novel Particle Filter. ICPR 2020: 7343-7348
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last updated on 2026-04-12 02:09 CEST by the dblp team
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