Yixin Wang

According to our database, Yixin Wang authored at least 35 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Survey of Visual Transformers.

Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Deep Learning in Single-cell Analysis.

Dylan Molho, Jiayuan Ding, Wenzhuo Tang, Zhaoheng Li, Hongzhi Wen, Yixin Wang, Julian Venegas, Wei Jin, Renming Liu, Runze Su, Patrick Danaher, Robert Yang, Yu Leo Lei, Yuying Xie, Jiliang Tang

ACM Trans. Intell. Syst. Technol., June, 2024

SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology.

Jiayuan Ding, Lingxiao Li, Qiaolin Lu, Julian Venegas, Yixin Wang, Lidan Wu, Wei Jin, Hongzhi Wen, Renming Liu, Wenzhuo Tang, Xinnan Dai, Zhaoheng Li, Wangyang Zuo, Yi Chang, Yu Leo Lei, Lulu Shang, Patrick Danaher, Yuying Xie, Jiliang Tang

J. Comput. Biol., 2024

Trust it or not: Confidence-guided automatic radiology report generation.

Yixin Wang, Zihao Lin, Zhe Xu, Haoyu Dong, Jie Luo, Jiang Tian, Zhongchao Shi, Lifu Huang, Yang Zhang, Jianping Fan, Zhiqiang He

Neurocomputing, 2024

MMedAgent: Learning to Use Medical Tools with Multi-modal Agent.

Binxu Li, Tiankai Yan, Yuanting Pan, Zhe Xu, Jie Luo, Ruiyang Ji, Shilong Liu, Haoyu Dong, Zihao Lin, Yixin Wang

CoRR, 2024

MMedAgent: Learning to Use Medical Tools with Multi-modal Agent.

Binxu Li, Tiankai Yan, Yuanting Pan, Jie Luo, Ruiyang Ji, Jiayuan Ding, Zhe Xu, Shilong Liu, Haoyu Dong, Zihao Lin, Yixin Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation.

Zhe Xu, Yixin Wang, Donghuan Lu, Xiangde Luo, Jiangpeng Yan, Yefeng Zheng, Raymond Kai-Yu Tong

Medical Image Anal., August, 2023

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions.

Jun Ma, Ronald Xie, Shamini Ayyadhury, Cheng Ge, Anubha Gupta, Ritu Gupta, Song Gu, Yao Zhang, Gihun Lee, Joonkee Kim, Wei Lou, Haofeng Li, Eric Upschulte, Timo Dickscheid, José Guilherme de Almeida, Yixin Wang, Lin Han, Xin Yang, Marco Labagnara, Sahand Jamal Rahi, Carly Kempster, Alice Pollitt, Leon Espinosa, Tâm Mignot, Jan Moritz Middeke, Jan-Niklas Eckardt, Wangkai Li, Zhaoyang Li, Xiaochen Cai, Bizhe Bai, Noah F. Greenwald, David Van Valen, Erin Weisbart, Beth A. Cimini, Zhuoshi Li, Chao Zuo, Oscar Brück, Gary D. Bader, Bo Wang

CoRR, 2023

Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph.

Yixin Wang, Zihao Lin, Haoyu Dong

CoRR, 2023

Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels.

Zhe Xu, Jiangpeng Yan, Donghuan Lu, Yixin Wang, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Learnable Query Guided Representation Learning for Treatment Effect Estimation.

Chenchen Fan, Yixin Wang, Yahong Zhang, Wenli Ouyang, Sheng Shi, Wei Fan, Jianping Fan

Proceedings of the International Joint Conference on Neural Networks, 2023

Long-Tailed Recognition with Causal Invariant Transformation.

Yahong Zhang, Sheng Shi, Chenchen Fan, Yixin Wang, Wenli Ouyang, WeiFan, Jianping Fan

Proceedings of the IEEE International Conference on Acoustics, 2023

SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency.

Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation.

Zhe Xu, Donghuan Lu, Jie Luo, Yixin Wang, Jiangpeng Yan, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong

IEEE Trans. Medical Imaging, 2022

All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation.

Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong

IEEE J. Biomed. Health Informatics, 2022

Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data.

Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Dong Wei, Yefeng Zheng, Raymond Kai-Yu Tong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

On the Dataset Quality Control for Image Registration Evaluation.

Jie Luo, Guangshen Ma, Nazim Haouchine, Zhe Xu, Yixin Wang, Tina Kapur, Lipeng Ning, William M. Wells III, Sarah F. Frisken

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation.

Yixin Wang, Zhe Xu, Jiang Tian, Jie Luo, Zhongchao Shi, Yang Zhang, Jianping Fan, Zhiqiang He

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge.

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, Christopher Weight

Medical Image Anal., 2021

Confidence-Guided Radiology Report Generation.

Yixin Wang, Zihao Lin, Jiang Tian, Zhongchao Shi, Yang Zhang, Jianping Fan, Zhiqiang He

CoRR, 2021

Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation.

Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He

Comput. Methods Programs Biomed., 2021

Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation.

Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jagadeesan Jayender, Kai Ma, Yefeng Zheng, Xiu Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities.

Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Pretrained 2D U-Net models for COVID-19 CT Lung and Infection Segmentation.

Jun Ma, Yixin Wang, Xingle An, Cheng Ge, Ziqi Yu

Dataset, May, 2020

Pretrained 3D U-Net models for COVID-19 CT Lung and Infection Segmentation.

Jun Ma, Yixin Wang, Xingle An, Cheng Ge, Ziqi Yu

Dataset, May, 2020

COVID-19 CT Lung and Infection Segmentation Dataset.

Jun Ma, Cheng Ge, Yixin Wang, Xingle An, Jiantao Gao, Ziqi Yu, Minqing Zhang, Xin Liu, Xueyuan Deng, Shucheng Cao, Hao Wei, Sen Mei, Xiaoyu Yang, Ziwei Nie, Li Chen, Lu Tian, Yuntao Zhu, Qiongjie Zhu, Guoqiang Dong, Jian He

Dataset, April, 2020

Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation.

Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He

CoRR, 2020

Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation.

Jun Ma, Yixin Wang, Xingle An, Cheng Ge, Ziqi Yu, Jianan Chen, Qiongjie Zhu, Guoqiang Dong, Jian He, Zhiqiang He, Ziwei Nie, Xiaoping Yang

CoRR, 2020

How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study.

Jun Ma, Zhan Wei, Yiwen Zhang, Yixin Wang, Rongfei Lv, Cheng Zhu, Chen Gaoxiang, Jianan Liu, Chao Peng, Lei Wang, Yunpeng Wang, Jianan Chen

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer.

Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Double-Uncertainty Weighted Method for Semi-supervised Learning.

Yixin Wang, Yao Zhang, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

FGB: Feature Guidance Branch for Organ Detection in Medical Images.

Yixin Wang, Yao Zhang, Li Liu, Cheng Zhong, Jiang Tian, Yang Zhang, Zhongchao Shi, Zhiqiang He

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Modality-Pairing Learning for Brain Tumor Segmentation.

Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge.

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 Weight, Nikolaos Papanikolopoulos

CoRR, 2019

Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes.

Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong

CoRR, 2019