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2020 – today
- 2024
[j130]Jingna Xie, Yingshuo Wang, Qiuyang Sheng
, Xiaoqing Liu, Jing Li, Fenglei Sun, Yuqi Wang, Shuxian Li, Yiming Li, Yizhou Yu, Gang Yu:
Identification of mycoplasma pneumonia in children based on fusion of multi-modal clinical free-text description and structured test data. Health Informatics J. 30(2) (2024)- [j129]Haoyu Ma, Xiangru Lin, Yizhou Yu:
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1695-1710 (2024) - [j128]Jichang Li, Guanbin Li, Yizhou Yu:
Inter-domain mixup for semi-supervised domain adaptation. Pattern Recognit. 146: 110023 (2024) - [j127]Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, Yizhou Yu:
Correction to "A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation". IEEE Trans. Medical Imaging 43(2): 899 (2024) - [j126]Penghua Zhai, Huaiwei Cong, Enwei Zhu, Gangming Zhao, Yizhou Yu, Jinpeng Li:
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3-D CT Lesions. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7376-7390 (2024) - [j125]Zhongjin Luo, Dong Du, Heming Zhu, Yizhou Yu, Hongbo Fu, Xiaoguang Han:
SketchMetaFace: A Learning-Based Sketching Interface for High-Fidelity 3D Character Face Modeling. IEEE Trans. Vis. Comput. Graph. 30(8): 5260-5275 (2024) - [c135]Jichang Li, Guanbin Li, Hui Cheng, Zicheng Liao, Yizhou Yu:
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels. AAAI 2024: 3118-3126 - [i135]Xinyuan Wang, Chengwei Pan, Hongming Dai, Gangming Zhao, Jinpeng Li, Xiao Zhang, Yizhou Yu:
Leveraging Frequency Domain Learning in 3D Vessel Segmentation. CoRR abs/2401.06224 (2024) - [i134]Jichang Li, Guanbin Li, Yizhou Yu:
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation. CoRR abs/2401.11448 (2024) - [i133]Jichang Li, Guanbin Li, Yizhou Yu:
Inter-Domain Mixup for Semi-Supervised Domain Adaptation. CoRR abs/2401.11453 (2024) - [i132]Chenyu Lian, Hong-Yu Zhou, Yizhou Yu, Liansheng Wang:
Less Could Be Better: Parameter-efficient Fine-tuning Advances Medical Vision Foundation Models. CoRR abs/2401.12215 (2024) - [i131]Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Yizhou Yu, Yong Liang, Guangming Shi, Shaoting Zhang, Hairong Zheng, Shanshan Wang:
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining. CoRR abs/2402.03302 (2024) - [i130]Gangming Zhao, Chaoqi Chen, Wenhao He, Chengwei Pan, Chaowei Fang, Jinpeng Li, Xilin Chen, Yizhou Yu:
Progressive Conservative Adaptation for Evolving Target Domains. CoRR abs/2402.04573 (2024) - [i129]Meng Lou, Hanning Ying, Xiaoqing Liu, Hong-Yu Zhou, Yuqing Zhang, Yizhou Yu:
SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging. CoRR abs/2402.17246 (2024) - [i128]Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu:
RegionGPT: Towards Region Understanding Vision Language Model. CoRR abs/2403.02330 (2024) - [i127]Yunxiang Fu, Chaoqi Chen, Yu Qiao, Yizhou Yu:
DreamDA: Generative Data Augmentation with Diffusion Models. CoRR abs/2403.12803 (2024) - [i126]Ganlong Zhao, Guanbin Li, Weikai Chen, Yizhou Yu:
OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation. CoRR abs/2403.17334 (2024) - [i125]Fei Gao, Siwen Wang, Churan Wang, Fandong Zhang, Hong-Yu Zhou, Yizhou Wang, Gang Yu, Yizhou Yu:
Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation. CoRR abs/2406.00947 (2024) - [i124]Jiaxin Wu, Yizhou Yu, Hong-Yu Zhou:
Uncertainty Estimation of Large Language Models in Medical Question Answering. CoRR abs/2407.08662 (2024) - [i123]Yunxiang Fu, Chaoqi Chen, Yizhou Yu:
LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba. CoRR abs/2408.02615 (2024) - 2023
- [j124]Ruikun Li, Chengyang An, Shuxin Wang, Guisheng Wang, Lifeng Zhao, Yizhou Yu, Lisheng Wang:
A heuristic method for rapid and automatic radiofrequency ablation planning of liver tumors. Int. J. Comput. Assist. Radiol. Surg. 18(12): 2213-2221 (2023) - [j123]Shu Zhang, Zihao Li, Hong-Yu Zhou, Jiechao Ma, Yizhou Yu:
Advancing 3D medical image analysis with variable dimension transform based supervised 3D pre-training. Neurocomputing 529: 11-22 (2023) - [j122]Taiping Qu, Xiuli Li, Xiheng Wang, Wenyi Deng, Li Mao, Ming He, Xiao Li, Yun Wang, Zaiyi Liu, Longjiang Zhang, Zhengyu Jin, Huadan Xue, Yizhou Yu:
Transformer guided progressive fusion network for 3D pancreas and pancreatic mass segmentation. Medical Image Anal. 86: 102801 (2023) - [j121]Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Zhizheng Zhuo, Yunyun Duan, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Yaou Liu, Chuyang Ye:
CarveMix: A simple data augmentation method for brain lesion segmentation. NeuroImage 271: 120041 (2023) - [j120]Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu:
Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3677-3694 (2023) - [j119]Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu:
A Unified Visual Information Preservation Framework for Self-supervised Pre-Training in Medical Image Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8020-8035 (2023) - [j118]Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Xiaoguang Han, Lequan Yu, Liansheng Wang, Yizhou Yu:
nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer. IEEE Trans. Image Process. 32: 4036-4045 (2023) - [j117]Jichang Li, Guanbin Li, Yizhou Yu:
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation. IEEE Trans. Image Process. 32: 5580-5594 (2023) - [j116]Xingxin Xu, Qikui Zhu, Hanning Ying, Jiongcheng Li, Xiujun Cai, Shuo Li, Xiaoqing Liu, Yizhou Yu:
A Knowledge-Guided Framework for Fine-Grained Classification of Liver Lesions Based on Multi-Phase CT Images. IEEE J. Biomed. Health Informatics 27(1): 386-396 (2023) - [j115]Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu:
Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation. IEEE Trans. Medical Imaging 42(1): 183-195 (2023) - [j114]Chenghong Li, Leyang Jin, Yujian Zheng, Yizhou Yu, Xiaoguang Han:
EMS: 3D Eyebrow Modeling from Single-View Images. ACM Trans. Graph. 42(6): 269:1-269:19 (2023) - [c134]Qianyu Guo, Haotong Gong, Xujun Wei, Yanwei Fu, Yizhou Yu, Wenqiang Zhang, Weifeng Ge:
RankDNN: Learning to Rank for Few-Shot Learning. AAAI 2023: 728-736 - [c133]Yinghong Liao, Wending Zhou, Xu Yan, Zhen Li, Yizhou Yu, Shuguang Cui:
Geometry-Aware Network for Domain Adaptive Semantic Segmentation. AAAI 2023: 8755-8763 - [c132]Jingpeng Sun, Rongxiao Wang, Gangming Zhao, Chen Chen, Yixiao Qu, Jinpeng Li, Xiyuan Hu, Yizhou Yu:
START: Automatic Sleep Staging with Attention-based Cross-modal Learning Transformer. BIBM 2023: 1421-1428 - [c131]Xinyuan Wang, Chengwei Pan, Hongming Dai, Gangming Zhao, Jinpeng Li, Xiao Zhang, Yizhou Yu:
Leveraging Frequency Domain Learning in 3D Vessel Segmentation. BIBM 2023: 1503-1508 - [c130]Yixuan Sun, Yiwen Huang, Haijing Guo, Yuzhou Zhao, Runmin Wu, Yizhou Yu, Weifeng Ge, Wenqiang Zhang:
MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence. CVPR 2023: 7121-7130 - [c129]Ganlong Zhao, Guanbin Li, Yipeng Qin, Yizhou Yu:
Improved Distribution Matching for Dataset Condensation. CVPR 2023: 7856-7865 - [c128]Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu:
Activate and Reject: Towards Safe Domain Generalization under Category Shift. ICCV 2023: 11518-11529 - [c127]Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo:
EGC: Image Generation and Classification via a Diffusion Energy-Based Model. ICCV 2023: 22895-22905 - [c126]Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang:
Learning Domain-Agnostic Representation for Disease Diagnosis. ICLR 2023 - [c125]Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, Yizhou Yu:
Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning. ICLR 2023 - [c124]Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu:
Advancing Radiograph Representation Learning with Masked Record Modeling. ICLR 2023 - [c123]Lingfeng Li, Gangming Zhao, Yizhou Yu, Jinpeng Li:
Dynamic Triple Reweighting Network for Automatic Femoral Head Necrosis Diagnosis from Computed Tomography. ACM Multimedia 2023: 719-727 - [c122]Chaoqi Chen, Luyao Tang, Yue Huang, Xiaoguang Han, Yizhou Yu:
CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation. NeurIPS 2023 - [i122]Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu:
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis. CoRR abs/2301.00772 (2023) - [i121]Haoyu Ma, Xiangru Lin, Yizhou Yu:
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation. CoRR abs/2301.01149 (2023) - [i120]Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu:
Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation. CoRR abs/2301.02393 (2023) - [i119]Hong-Yu Zhou, Chixiang Lu, Liansheng Wang, Yizhou Yu:
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis. CoRR abs/2301.04410 (2023) - [i118]Ruifei Zhang, Guanbin Li, Zhen Li, Shuguang Cui, Dahong Qian, Yizhou Yu:
Adaptive Context Selection for Polyp Segmentation. CoRR abs/2301.04799 (2023) - [i117]Ruifei Zhang, Sishuo Liu, Yizhou Yu, Guanbin Li:
Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation. CoRR abs/2301.04866 (2023) - [i116]Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, Yizhou Yu:
Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling. CoRR abs/2301.13154 (2023) - [i115]Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu:
Advancing Radiograph Representation Learning with Masked Record Modeling. CoRR abs/2301.13155 (2023) - [i114]Qiushan Guo, Yizhou Yu, Yi Jiang, Jiannan Wu, Zehuan Yuan, Ping Luo:
Multi-Level Contrastive Learning for Dense Prediction Task. CoRR abs/2304.02010 (2023) - [i113]Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo:
EGC: Image Generation and Classification via a Diffusion Energy-Based Model. CoRR abs/2304.02012 (2023) - [i112]Hong-Yu Zhou, Yizhou Yu, Chengdi Wang, Shu Zhang, Yuanxu Gao, Jia Pan, Jun Shao, Guangming Lu, Kang Zhang, Weimin Li:
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics. CoRR abs/2306.00864 (2023) - [i111]Ganlong Zhao, Guanbin Li, Yipeng Qin, Jinjin Zhang, Zhenhua Chai, Xiaolin Wei, Liang Lin, Yizhou Yu:
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning. CoRR abs/2306.17699 (2023) - [i110]Zhongjin Luo, Dong Du, Heming Zhu, Yizhou Yu, Hongbo Fu, Xiaoguang Han:
SketchMetaFace: A Learning-based Sketching Interface for High-fidelity 3D Character Face Modeling. CoRR abs/2307.00804 (2023) - [i109]Ganlong Zhao, Guanbin Li, Yipeng Qin, Yizhou Yu:
Improved Distribution Matching for Dataset Condensation. CoRR abs/2307.09742 (2023) - [i108]Chenghong Li, Leyang Jin, Yujian Zheng, Yizhou Yu, Xiaoguang Han:
EMS: 3D Eyebrow Modeling from Single-view Images. CoRR abs/2309.12787 (2023) - [i107]Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu:
Activate and Reject: Towards Safe Domain Generalization under Category Shift. CoRR abs/2310.04724 (2023) - [i106]Hao Wang, Qiang Song, Ruofeng Yin, Rui Ma, Yizhou Yu, Yi Chang:
B-Spine: Learning B-Spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation. CoRR abs/2310.09603 (2023) - [i105]Meng Lou, Hongyu Zhou, Sibei Yang, Yizhou Yu:
TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition. CoRR abs/2310.19380 (2023) - [i104]Jichang Li, Guanbin Li, Hui Cheng, Zicheng Liao, Yizhou Yu:
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels. CoRR abs/2312.12263 (2023) - 2022
- [j113]Liyan Sun, Chenxin Li, Xinghao Ding, Yue Huang, Zhong Chen, Guisheng Wang, Yizhou Yu, John W. Paisley:
Few-shot medical image segmentation using a global correlation network with discriminative embedding. Comput. Biol. Medicine 140: 105067 (2022) - [j112]Chenxin Li, Xin Lin, Yijin Mao, Wei Lin, Qi Qi, Xinghao Ding, Yue Huang, Dong Liang, Yizhou Yu:
Domain generalization on medical imaging classification using episodic training with task augmentation. Comput. Biol. Medicine 141: 105144 (2022) - [j111]Jianwei Xu, Qingwei Zhang, Yizhou Yu, Ran Zhao, Xianzhang Bian, Xiaoqing Liu, Jun Wang, Zhizheng Ge, Dahong Qian:
Deep reconstruction-recoding network for unsupervised domain adaptation and multi-center generalization in colonoscopy polyp detection. Comput. Methods Programs Biomed. 214: 106576 (2022) - [j110]Taiping Qu, Xiheng Wang, Chaowei Fang, Li Mao, Juan Li, Ping Li, Jinrong Qu, Xiuli Li, Huadan Xue, Yizhou Yu, Zhengyu Jin:
M3Net: A multi-scale multi-view framework for multi-phase pancreas segmentation based on cross-phase non-local attention. Medical Image Anal. 75: 102232 (2022) - [j109]Xiaoyu Chen, Hong-Yu Zhou, Feng Liu, Jiansen Guo, Liansheng Wang, Yizhou Yu:
MASS: Modality-collaborative semi-supervised segmentation by exploiting cross-modal consistency from unpaired CT and MRI images. Medical Image Anal. 80: 102506 (2022) - [j108]Hong-Yu Zhou, Xiaoyu Chen, Yinghao Zhang, Ruibang Luo, Liansheng Wang, Yizhou Yu:
Generalized radiograph representation learning via cross-supervision between images and free-text radiology reports. Nat. Mach. Intell. 4(1): 32-40 (2022) - [j107]Chenxin Li, Wenao Ma, Liyan Sun, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu:
Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation. Neural Comput. Appl. 34(4): 3151-3164 (2022) - [j106]Liyan Sun, Jianxiong Wu, Xinghao Ding, Yue Huang, Zhong Chen, Guisheng Wang, Yizhou Yu:
A teacher-student framework for liver and tumor segmentation under mixed supervision from abdominal CT scans. Neural Comput. Appl. 34(19): 16547-16561 (2022) - [j105]Chengdi Wang, Jiechao Ma, Shu Zhang, Jun Shao, Yanyan Wang, Hong-Yu Zhou, Lujia Song, Jie Zheng, Yizhou Yu, Weimin Li:
Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases. npj Digit. Medicine 5 (2022) - [j104]Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, Yizhou Yu:
Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 5947-5961 (2022) - [j103]Gangming Zhao, Quanlong Feng, Chaoqi Chen, Zhen Zhou, Yizhou Yu:
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7400-7416 (2022) - [j102]Ruikun Li, Yi-Jie Huang, Huai Chen, Xiaoqing Liu, Yizhou Yu, Dahong Qian, Lisheng Wang:
3D Graph-Connectivity Constrained Network for Hepatic Vessel Segmentation. IEEE J. Biomed. Health Informatics 26(3): 1251-1262 (2022) - [j101]Baolian Qi, Gangming Zhao, Xin Wei, Changde Du, Chengwei Pan, Yizhou Yu, Jinpeng Li:
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images. IEEE J. Biomed. Health Informatics 26(10): 5142-5153 (2022) - [j100]Yunlong Zhang, Xin Lin, Yihong Zhuang, Liyan Sun, Yue Huang, Xinghao Ding, Guisheng Wang, Lin Yang, Yizhou Yu:
Harmonizing Pathological and Normal Pixels for Pseudo-Healthy Synthesis. IEEE Trans. Medical Imaging 41(9): 2457-2468 (2022) - [j99]Hong-Yu Zhou, Chixiang Lu, Liansheng Wang, Yizhou Yu:
GraVIS: Grouping Augmented Views From Independent Sources for Dermatology Analysis. IEEE Trans. Medical Imaging 41(12): 3498-3508 (2022) - [j98]Haoyu Ma, Bingchen Gong, Yizhou Yu:
Structure-aware Meta-fusion for Image Super-resolution. ACM Trans. Multim. Comput. Commun. Appl. 18(2): 60:1-60:25 (2022) - [j97]Dong Du, Xiaoguang Han, Hongbo Fu, Feiyang Wu, Yizhou Yu, Shuguang Cui, Ligang Liu:
SAniHead: Sketching Animal-Like 3D Character Heads Using a View-Surface Collaborative Mesh Generative Network. IEEE Trans. Vis. Comput. Graph. 28(6): 2415-2429 (2022) - [c121]Xiangru Lin, Ziyi Wu, Guanqi Chen, Guanbin Li, Yizhou Yu:
A Causal Debiasing Framework for Unsupervised Salient Object Detection. AAAI 2022: 1610-1619 - [c120]Xiangru Lin, Yuyang Chen, Guanbin Li, Yizhou Yu:
A Causal Inference Look at Unsupervised Video Anomaly Detection. AAAI 2022: 1620-1629 - [c119]Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu:
BOAT: Bilateral Local Attention Vision Transformer. BMVC 2022: 371 - [c118]Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu:
Compound Domain Generalization via Meta-Knowledge Encoding. CVPR 2022: 7109-7119 - [c117]Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang:
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning. CVPR 2022: 9109-9119 - [c116]Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo:
Scale-Equivalent Distillation for Semi-Supervised Object Detection. CVPR 2022: 14502-14511 - [c115]Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu:
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels. ECCV (25) 2022: 21-37 - [c114]Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu:
Neighborhood Collective Estimation for Noisy Label Identification and Correction. ECCV (24) 2022: 128-145 - [c113]Zihao Yin, Ping Gong, Chunyu Wang, Yizhou Yu, Yizhou Wang:
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement. ECCV (21) 2022: 473-489 - [c112]Kehan Lin, Yizhou Yu:
Causal associations between neuroinflammation and Alzheimer's disease risk. ICBBS 2022: 30-38 - [c111]Chu-ran Wang, Fei Gao, Fandong Zhang, Fangwei Zhong, Yizhou Yu, Yizhou Wang:
Disentangling Disease-related Representation from Obscure for Disease Prediction. ICML 2022: 22652-22664 - [c110]Chengwei Pan, Gangming Zhao, Junjie Fang, Baolian Qi, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li, Yizhou Yu:
Computer-Aided Tuberculosis Diagnosis with Attribute Reasoning Assistance. MICCAI (1) 2022: 623-633 - [c109]Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu:
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization. NeurIPS 2022 - [i103]Shu Zhang, Zihao Li, Hong-Yu Zhou, Jiechao Ma, Yizhou Yu:
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training. CoRR abs/2201.01426 (2022) - [i102]Dingwen Zhang, Guohai Huang, Qiang Zhang, Jungong Han, Junwei Han, Yizhou Yu:
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation. CoRR abs/2201.02356 (2022) - [i101]Jianwei Xu, Ran Zhao, Yizhou Yu, Qingwei Zhang, Xianzhang Bian, Jun Wang, Zhizheng Ge, Dahong Qian:
Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit. CoRR abs/2201.10079 (2022) - [i100]Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu:
BOAT: Bilateral Local Attention Vision Transformer. CoRR abs/2201.13027 (2022) - [i99]Yushuang Wu, Zizheng Yan, Shengcai Cai, Guanbin Li, Yizhou Yu, Xiaoguang Han, Shuguang Cui:
PointMatch: A Consistency Training Framework for Weakly SupervisedSemantic Segmentation of 3D Point Clouds. CoRR abs/2202.10705 (2022) - [i98]Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang:
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning. CoRR abs/2203.09064 (2022) - [i97]Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo:
Scale-Equivalent Distillation for Semi-Supervised Object Detection. CoRR abs/2203.12244 (2022) - [i96]Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu:
Compound Domain Generalization via Meta-Knowledge Encoding. CoRR abs/2203.13006 (2022) - [i95]Yunlong Zhang, Xin Lin, Yihong Zhuang, Liyan Sun, Yue Huang, Xinghao Ding, Guisheng Wang, Lin Yang, Yizhou Yu:
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis. CoRR abs/2203.15347 (2022) - [i94]Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang:
Domain Invariant Model with Graph Convolutional Network for Mammogram Classification. CoRR abs/2204.09954 (2022) - [i93]Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu:
Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection. CoRR abs/2206.02355 (2022) - [i92]Chengwei Pan, Gangming Zhao, Junjie Fang, Baolian Qi, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li, Yizhou Yu:
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance. CoRR abs/2207.00251 (2022) - [i91]Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu:
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels. CoRR abs/2207.14476 (2022) - [i90]Zihao Yin, Ping Gong, Chunyu Wang, Yizhou Yu, Yizhou Wang:
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement. CoRR abs/2208.00453 (2022) - [i89]Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu:
Neighborhood Collective Estimation for Noisy Label Identification and Correction. CoRR abs/2208.03207 (2022) - [i88]Gangming Zhao, Quanlong Feng, Chaoqi Chen, Zhen Zhou, Yizhou Yu:
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis. CoRR abs/2208.09282 (2022) - [i87]Chaoqi Chen, Yushuang Wu, Qiyuan Dai, Hong-Yu Zhou, Mutian Xu, Sibei Yang, Xiaoguang Han, Yizhou Yu:
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective. CoRR abs/2209.13232 (2022) - [i86]Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu:
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization. CoRR abs/2210.07571 (2022) - [i85]Jiansen Guo, Hong-Yu Zhou, Liansheng Wang, Yizhou Yu:
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture. CoRR abs/2210.15566 (2022) - [i84]