Yixin Wang

46 papers A* 1B 1Misc 2Journal 28Unranked 14
YearRankTypeTitle / Venue / Authors
2025 — conf
Evaluation of 3D Counterfactual Brain MRI Generation.
DGM4MICCAI@MICCAI
Pengwei Sun, Wei Peng, Lun Yu Li, Yixin Wang, Kilian M. Pohl
2024 J jnl
A Survey of Visual Transformers.
IEEE Trans. Neural Networks Learn. Syst.
Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He
2024 — conf
Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning.
MLCN@MICCAI
Yixin Wang, Wei Peng, Yu Zhang, Ehsan Adeli-Mosabbeb, Qingyu Zhao, Kilian M. Pohl
2024 J jnl
Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning.
CoRR
Yixin Wang, Wei Peng, Yu Zhang, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl
2024 J jnl
Deep Learning in Single-cell Analysis.
ACM Trans. Intell. Syst. Technol.
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
2024 — conf
MMedAgent: Learning to Use Medical Tools with Multi-modal Agent.
EMNLP (Findings)
Binxu Li, Tiankai Yan, Yuanting Pan, Jie Luo, Ruiyang Ji, Jiayuan Ding, Zhe Xu, Shilong Liu, Haoyu Dong, Zihao Lin, Yixin Wang
2024 J jnl
MMedAgent: Learning to Use Medical Tools with Multi-modal Agent.
CoRR
Binxu Li, Tiankai Yan, Yuanting Pan, Zhe Xu, Jie Luo, Ruiyang Ji, Shilong Liu, Haoyu Dong, Zihao Lin, Yixin Wang
2024 J jnl
SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology.
J. Comput. Biol.
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
2024 J jnl
Trust it or not: Confidence-guided automatic radiology report generation.
Neurocomputing
Yixin Wang, Zihao Lin, Zhe Xu, Haoyu Dong, Jie Luo, Jiang Tian, Zhongchao Shi, Lifu Huang, Yang Zhang, Jianping Fan, Zhiqiang He
2023 J jnl
Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation.
Medical Image Anal.
Zhe Xu, Yixin Wang, Donghuan Lu, Xiangde Luo, Jiangpeng Yan, Yefeng Zheng, Raymond Kai-Yu Tong
2023 — conf
Imputing Brain Measurements Across Data Sets via Graph Neural Networks.
PRIME@MICCAI
Yixin Wang, Wei Peng, Susan F. Tapert, Qingyu Zhao, Kilian M. Pohl
2023 J jnl
Imputing Brain Measurements Across Data Sets via Graph Neural Networks.
CoRR
Yixin Wang, Wei Peng, Susan F. Tapert, Qingyu Zhao, Kilian M. Pohl
2023 B conf
Learnable Query Guided Representation Learning for Treatment Effect Estimation.
IJCNN
Chenchen Fan, Yixin Wang, Yahong Zhang, Wenli Ouyang, Sheng Shi, Wei Fan, Jianping Fan
2023 Misc conf
Long-Tailed Recognition with Causal Invariant Transformation.
ICASSP
Yahong Zhang, Sheng Shi, Chenchen Fan, Yixin Wang, Wenli Ouyang, WeiFan, Jianping Fan
2023 J jnl
Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph.
CoRR
Yixin Wang, Zihao Lin, Haoyu Dong
2023 A* conf
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency.
CVPR
Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He
2023 J jnl
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions.
CoRR
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
2023 — conf
Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels.
MICCAI (7)
Zhe Xu, Jiangpeng Yan, Donghuan Lu, Yixin Wang, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong
2022 J jnl
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2022 J jnl
Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation.
IEEE Trans. Medical Imaging
Zhe Xu, Donghuan Lu, Jie Luo, Yixin Wang, Jiangpeng Yan, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2022 Misc conf
Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation.
ICASSP
Yixin Wang, Zhe Xu, Jiang Tian, Jie Luo, Zhongchao Shi, Yang Zhang, Jianping Fan, Zhiqiang He
2022 J jnl
Deep Learning in Single-Cell Analysis.
CoRR
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
2022 — conf
Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data.
MICCAI (5)
Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Dong Wei, Yefeng Zheng, Raymond Kai-Yu Tong
2022 — conf
On the Dataset Quality Control for Image Registration Evaluation.
MICCAI (6)
Jie Luo, Guangshen Ma, Nazim Haouchine, Zhe Xu, Yixin Wang, Tina Kapur, Lipeng Ning, William M. Wells III, Sarah F. Frisken
2022 J jnl
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency.
CoRR
Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He
2021 J jnl
A Survey of Visual Transformers.
CoRR
Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He
2021 — conf
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities.
MICCAI (7)
Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He
2021 J jnl
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities.
CoRR
Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He
2021 J jnl
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation.
CoRR
Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2021 J jnl
Confidence-Guided Radiology Report Generation.
CoRR
Yixin Wang, Zihao Lin, Jiang Tian, Zhongchao Shi, Yang Zhang, Jianping Fan, Zhiqiang He
2021 J jnl
Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation.
Comput. Methods Programs Biomed.
Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He
2021 — conf
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation.
MICCAI (1)
Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jagadeesan Jayender, Kai Ma, Yefeng Zheng, Xiu Li
2021 J jnl
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation.
CoRR
Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jayender Jagadeesan, Kai Ma, Yefeng Zheng, Xiu Li
2021 J jnl
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge.
Medical Image Anal.
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 J. Weight
2020 J jnl
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation.
CoRR
Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He
2020 — conf
Double-Uncertainty Weighted Method for Semi-supervised Learning.
MICCAI (1)
Yixin Wang, Yao Zhang, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He
2020 J jnl
Double-Uncertainty Weighted Method for Semi-supervised Learning.
CoRR
Yixin Wang, Yao Zhang, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He
2020 — conf
FGB: Feature Guidance Branch for Organ Detection in Medical Images.
ISBI
Yixin Wang, Yao Zhang, Li Liu, Cheng Zhong, Jiang Tian, Yang Zhang, Zhongchao Shi, Zhiqiang He
2020 — conf
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study.
MIDL
Jun Ma, Zhan Wei, Yiwen Zhang, Yixin Wang, Rongfei Lv, Cheng Zhu, Chen Gaoxiang, Jianan Liu, Chao Peng, Lei Wang, Yunpeng Wang, Jianan Chen
2020 — conf
Modality-Pairing Learning for Brain Tumor Segmentation.
BrainLes@MICCAI (1)
Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He
2020 J jnl
Modality-Pairing Learning for Brain Tumor Segmentation.
CoRR
Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He
2020 — conf
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer.
M&Ms and EMIDEC/STACOM@MICCAI
Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He
2020 J jnl
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer.
CoRR
Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He
2020 J jnl
Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation.
CoRR
Jun Ma, Yixin Wang, Xingle An, Cheng Ge, Ziqi Yu, Jianan Chen, Qiongjie Zhu, Guoqiang Dong, Jian He, Zhiqiang He, Ziwei Nie, Xiaoping Yang
2019 J jnl
Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes.
CoRR
Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong
2019 J jnl
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge.
CoRR
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