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Yixin Wang 0003
Person information
- affiliation: Stanford University, Department of Bioengineering, CA, USA
- affiliation: Chinese Academy of Sciences (CAS), Institute of Computing Technology, China
- affiliation: University of Chinese Academy of Sciences (UCAS), China
Other persons with the same name
- Yixin Wang (aka: Yi-xin Wang, Yi-Xin Wang) — disambiguation page
- Yixin Wang 0001
— Xi'an Jiaotong University, School of Information and Communications Engineering, China
- Yixin Wang 0002
- Yixin Wang 0004
- Yixin Wang 0005
- Yixin Wang 0006
- Yixin Wang 0007
- Yixin Wang 0008
- Yixin Wang 0009
- Yixin Wang 0010 — Sun Yat-sen University, School of Computer Science and Engineering, Guangzhou, China
- Yixin Wang 0011 — Tohoku University, Research Institute of Electrical Communication, Sendai-shi, Japan
- Yixin Wang 0012
- Yixin Wang 0013 (aka: Yi-Xin Wang 0013) — PLA Nanjing Institute of Politics, School of Marxism, China
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Journal Articles
- 2024
- [j9]Yixin Wang
Trust it or not: Confidence-guided automatic radiology report generation. Neurocomputing 578: 127374 (2024) - [j8]Jiayuan Ding
SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology. J. Comput. Biol. 31(9): 871-885 (2024) - [j7]Dylan Molho
Deep Learning in Single-cell Analysis. ACM Trans. Intell. Syst. Technol. 15(3): 40:1-40:62 (2024) - [j6]Yang Liu
A Survey of Visual Transformers. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7478-7498 (2024) - 2023
- [j5]Zhe Xu
Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation. Medical Image Anal. 88: 102880 (2023) - 2022
- [j4]Zhe Xu
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation. IEEE J. Biomed. Health Informatics 26(7): 3174-3184 (2022) - [j3]Zhe Xu
Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation. IEEE Trans. Medical Imaging 41(11): 3062-3073 (2022) - 2021
- [j2]Yixin Wang
Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation. Comput. Methods Programs Biomed. 202: 106004 (2021) - [j1]Nicholas Heller
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge. Medical Image Anal. 67: 101821 (2021)
Conference and Workshop Papers
- 2025
- [c18]Pengwei Sun, Wei Peng, Lun Yu Li, Yixin Wang, Kilian M. Pohl:
Evaluation of 3D Counterfactual Brain MRI Generation. DGM4MICCAI@MICCAI 2025: 46-56 - 2024
- [c17]Binxu Li, Tiankai Yan, Yuanting Pan, Jie Luo, Ruiyang Ji, Jiayuan Ding, Zhe Xu
MMedAgent: Learning to Use Medical Tools with Multi-modal Agent. EMNLP (Findings) 2024: 8745-8760 - [c16]Yixin Wang, Wei Peng
Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning. MLCN@MICCAI 2024: 24-34 - 2023
- [c15]Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He:
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency. CVPR 2023: 15539-15547 - [c14]Yahong Zhang, Sheng Shi
Long-Tailed Recognition with Causal Invariant Transformation. ICASSP 2023: 1-5 - [c13]Chenchen Fan, Yixin Wang, Yahong Zhang, Wenli Ouyang, Sheng Shi
Learnable Query Guided Representation Learning for Treatment Effect Estimation. IJCNN 2023: 1-8 - [c12]Zhe Xu
Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels. MICCAI (7) 2023: 99-109 - [c11]Yixin Wang, Wei Peng
Imputing Brain Measurements Across Data Sets via Graph Neural Networks. PRIME@MICCAI 2023: 172-183 - 2022
- [c10]Yixin Wang, Zhe Xu
Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation. ICASSP 2022: 1086-1090 - [c9]Jie Luo, Guangshen Ma, Nazim Haouchine, Zhe Xu
On the Dataset Quality Control for Image Registration Evaluation. MICCAI (6) 2022: 36-45 - [c8]Zhe Xu
Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data. MICCAI (5) 2022: 214-224 - 2021
- [c7]Zhe Xu
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation. MICCAI (1) 2021: 3-13 - [c6]Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He:
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities. MICCAI (7) 2021: 410-420 - 2020
- [c5]Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He:
Modality-Pairing Learning for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2020: 230-240 - [c4]Yixin Wang, Yao Zhang, Li Liu, Cheng Zhong, Jiang Tian, Yang Zhang, Zhongchao Shi, Zhiqiang He:
FGB: Feature Guidance Branch for Organ Detection in Medical Images. ISBI 2020: 349-353 - [c3]Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He:
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer. M&Ms and EMIDEC/STACOM@MICCAI 2020: 219-227 - [c2]Yixin Wang, Yao Zhang, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He:
Double-Uncertainty Weighted Method for Semi-supervised Learning. MICCAI (1) 2020: 542-551 - [c1]Jun Ma, Zhan Wei, Yiwen Zhang, Yixin Wang, Rongfei Lv, Cheng Zhu, Chen Gaoxiang, Jianan Liu, Chao Peng, Lei Wang, Yunpeng Wang, Jianan Chen:
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study. MIDL 2020: 479-492
Data and Artifacts
- 2020
- [d3]Jun Ma
COVID-19 CT Lung and Infection Segmentation Dataset. Zenodo, 2020 - [d2]Jun Ma
Pretrained 3D U-Net models for COVID-19 CT Lung and Infection Segmentation. Zenodo, 2020 - [d1]Jun Ma
Pretrained 2D U-Net models for COVID-19 CT Lung and Infection Segmentation. Zenodo, 2020
Informal and Other Publications
- 2024
- [i19]Binxu Li, Tiankai Yan, Yuanting Pan, Zhe Xu
MMedAgent: Learning to Use Medical Tools with Multi-modal Agent. CoRR abs/2407.02483 (2024) - [i18]Yixin Wang, Wei Peng, Yu Zhang, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl:
Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning. CoRR abs/2409.13887 (2024) - 2023
- [i17]Yixin Wang, Zihao Lin, Haoyu Dong:
Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph. CoRR abs/2307.12526 (2023) - [i16]Jun Ma, Ronald Xie, Shamini Ayyadhury, Cheng Ge, Anubha Gupta, Ritu Gupta, Song Gu, Yao Zhang, Gihun Lee, Joonkee Kim, Wei Lou
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions. CoRR abs/2308.05864 (2023) - [i15]Yixin Wang, Wei Peng, Susan F. Tapert, Qingyu Zhao, Kilian M. Pohl:
Imputing Brain Measurements Across Data Sets via Graph Neural Networks. CoRR abs/2308.09907 (2023) - 2022
- [i14]Dylan Molho, Jiayuan Ding, Zhaoheng Li, Hongzhi Wen, Wenzhuo Tang, Yixin Wang, Julian Venegas, Wei Jin, Renming Liu, Runze Su, Patrick Danaher, Robert Yang, Yu Leo Lei, Yuying Xie, Jiliang Tang:
Deep Learning in Single-Cell Analysis. CoRR abs/2210.12385 (2022) - [i13]Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He:
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency. CoRR abs/2211.02006 (2022) - 2021
- [i12]Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jayender Jagadeesan, Kai Ma, Yefeng Zheng, Xiu Li:
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation. CoRR abs/2106.01860 (2021) - [i11]Yixin Wang, Zihao Lin, Jiang Tian, Zhongchao Shi, Yang Zhang, Jianping Fan, Zhiqiang He:
Confidence-Guided Radiology Report Generation. CoRR abs/2106.10887 (2021) - [i10]Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He:
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities. CoRR abs/2106.14591 (2021) - [i9]Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong:
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation. CoRR abs/2109.13930 (2021) - [i8]Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He:
A Survey of Visual Transformers. CoRR abs/2111.06091 (2021) - 2020
- [i7]Jun Ma, Yixin Wang, Xingle An, Cheng Ge, Ziqi Yu, Jianan Chen, Qiongjie Zhu, Guoqiang Dong, Jian He, Zhiqiang He, Ziwei Nie, Xiaoping Yang:
Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation. CoRR abs/2004.12537 (2020) - [i6]Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He:
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation. CoRR abs/2006.13877 (2020) - [i5]Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He:
Modality-Pairing Learning for Brain Tumor Segmentation. CoRR abs/2010.09277 (2020) - [i4]Yixin Wang, Yao Zhang, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He:
Double-Uncertainty Weighted Method for Semi-supervised Learning. CoRR abs/2010.09298 (2020) - [i3]Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He:
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer. CoRR abs/2012.14785 (2020) - 2019
- [i2]Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong:
Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes. CoRR abs/1910.02235 (2019) - [i1]Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong, Jun Ma, Jack Rickman, Joshua Dean, Bethany Stai, Resha Tejpaul, Makinna Oestreich, Paul Blake, Heather Kaluzniak, Shaneabbas Raza, Joel Rosenberg, Keenan Moore, Edward Walczak, Zachary Rengel, Zachary Edgerton, Ranveer Vasdev, Matthew Peterson, Seán McSweeney, Sarah Peterson, Arveen Kalapara, Niranjan Sathianathen, Christopher J. Weight, Nikolaos Papanikolopoulos:
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge. CoRR abs/1912.01054 (2019)
Coauthor Index
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