Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes. - Yao Zhang 010; Yixin Wang 003; Feng Hou; Jiawei Yang 002; Guangwei Xiong; Jiang Tian; Cheng Zhong (CoRR, 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 002; Guangrui Mu; Zhiyong Lin; Miofei Han; Guang Yao; Yaozong Gao; et al. (CoRR, 2019)

Modality-Pairing Learning for Brain Tumor Segmentation. - Yixin Wang 003; Yao Zhang 010; Feng Hou; Yang Liu 250; Jiang Tian; Cheng Zhong; Yang Zhang 002; Zhiqiang He 002 (BrainLes@MICCAI (1), 2020)

FGB: Feature Guidance Branch for Organ Detection in Medical Images. - Yixin Wang 003; Yao Zhang 010; Li Liu; Cheng Zhong; Jiang Tian; Yang Zhang 002; Zhongchao Shi; Zhiqiang He 002 (ISBI, 2020)

Double-Uncertainty Weighted Method for Semi-supervised Learning. - Yixin Wang 003; Yao Zhang 010; Jiang Tian; Cheng Zhong; Zhongchao Shi; Yang Zhang 002; Zhiqiang He 002 (MICCAI (1), 2020)

Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer. - Yao Zhang 010; Jiawei Yang 002; Feng Hou; Yang Liu 250; Yixin Wang 003; Jiang Tian; Cheng Zhong; Yang Zhang 002; Zhiqiang He 002 (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study. - Jun Ma 016; Zhan Wei; Yiwen Zhang; Yixin Wang 003; Rongfei Lv; Cheng Zhu; Chen Gaoxiang; Jianan Liu; Chao Peng; Lei Wang; Yunpeng Wang; Jianan Chen 001 (MIDL, 2020)

Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation. - Jun Ma 016; Yixin Wang 003; Xingle An; Cheng Ge; Ziqi Yu; Jianan Chen 001; Qiongjie Zhu; Guoqiang Dong; Jian He; Zhiqiang He 002; Ziwei Nie; Xiaoping Yang 001 (CoRR, 2020)

Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation. - Yixin Wang 003; Yao Zhang 010; Yang Liu 250; Jiang Tian; Cheng Zhong; Zhongchao Shi; Yang Zhang 002; Zhiqiang He 002 (CoRR, 2020)

COVID-19 CT Lung and Infection Segmentation Dataset. - Jun Ma 016; Cheng Ge; Yixin Wang 003; Xingle An; Jiantao Gao; Ziqi Yu; Minqing Zhang; Xin Liu; Xueyuan Deng; Shucheng Cao; Hao Wei; Sen Mei; et al. (Zenodo, 2020)

Pretrained 3D U-Net models for COVID-19 CT Lung and Infection Segmentation. - Jun Ma 016; Yixin Wang 003; Xingle An; Cheng Ge; Ziqi Yu (Zenodo, 2020)

Pretrained 2D U-Net models for COVID-19 CT Lung and Infection Segmentation. - Jun Ma 016; Yixin Wang 003; Xingle An; Cheng Ge; Ziqi Yu (Zenodo, 2020)

ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities. - Yixin Wang 003; Yang Zhang 002; Yang Liu 250; Zihao Lin 003; Jiang Tian; Cheng Zhong; Zhongchao Shi; Jianping Fan 007; Zhiqiang He 002 (MICCAI (7), 2021)

Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation. - Zhe Xu; Donghuan Lu; Yixin Wang 003; Jie Luo 003; Jagadeesan Jayender; Kai Ma 002; Yefeng Zheng 001; Xiu Li 001 (MICCAI (1), 2021)

Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation. - Yixin Wang 003; Yao Zhang 010; Yang Liu 250; Jiang Tian; Cheng Zhong; Zhongchao Shi; Yang Zhang 002; Zhiqiang He 002 (Comput. Methods Programs Biomed., 2021)

Confidence-Guided Radiology Report Generation. - Yixin Wang 003; Zihao Lin 003; Jiang Tian; Zhongchao Shi; Yang Zhang 002; Jianping Fan 007; Zhiqiang He 002 (CoRR, 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 002; Guangrui Mu; Zhiyong Lin; Miofei Han; Guang Yao; Yaozong Gao; et al. (Medical Image Anal., 2021)

Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation. - Yixin Wang 003; Zhe Xu; Jiang Tian; Jie Luo 003; Zhongchao Shi; Yang Zhang 002; Jianping Fan 007; Zhiqiang He 002 (ICASSP, 2022)

On the Dataset Quality Control for Image Registration Evaluation. - Jie Luo 003; Guangshen Ma; Nazim Haouchine; Zhe Xu; Yixin Wang 003; Tina Kapur; Lipeng Ning; William M. Wells III; Sarah F. Frisken (MICCAI (6), 2022)

Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data. - Zhe Xu; Donghuan Lu; Yixin Wang 003; Jie Luo 003; Dong Wei 004; Yefeng Zheng 001; Raymond Kai-Yu Tong (MICCAI (5), 2022)

All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation. - Zhe Xu; Yixin Wang 003; Donghuan Lu; Lequan Yu; Jiangpeng Yan; Jie Luo 003; Kai Ma 002; Yefeng Zheng 001; Raymond Kai-Yu Tong (IEEE J. Biomed. Health Informatics, 2022)

Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation. - Zhe Xu; Donghuan Lu; Jie Luo 003; Yixin Wang 003; Jiangpeng Yan; Kai Ma 002; Yefeng Zheng 001; Raymond Kai-Yu Tong (IEEE Trans. Medical Imaging, 2022)

SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency. - Yang Liu 250; Yao Zhang 010; Yixin Wang 003; Yang Zhang 002; Jiang Tian; Zhongchao Shi; Jianping Fan 007; Zhiqiang He 002 (CVPR, 2023)

Long-Tailed Recognition with Causal Invariant Transformation. - Yahong Zhang; Sheng Shi; Chenchen Fan; Yixin Wang 003; Wenli Ouyang; WeiFan; Jianping Fan 007 (ICASSP, 2023)

Learnable Query Guided Representation Learning for Treatment Effect Estimation. - Chenchen Fan; Yixin Wang 003; Yahong Zhang; Wenli Ouyang; Sheng Shi; Wei Fan; Jianping Fan 007 (IJCNN, 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 003; Jie Luo 003; Yefeng Zheng 001; Raymond Kai-Yu Tong (MICCAI (7), 2023)

Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph. - Yixin Wang 003; Zihao Lin 003; Haoyu Dong (CoRR, 2023)

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions. - Jun Ma 016; Ronald Xie; Shamini Ayyadhury; Cheng Ge; Anubha Gupta; Ritu Gupta; Song Gu; Yao Zhang 010; Gihun Lee; Joonkee Kim; Wei Lou; Haofeng Li; et al. (CoRR, 2023)

Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation. - Zhe Xu; Yixin Wang 003; Donghuan Lu; Xiangde Luo; Jiangpeng Yan; Yefeng Zheng 001; Raymond Kai-Yu Tong (Medical Image Anal., 2023)

MMedAgent: Learning to Use Medical Tools with Multi-modal Agent. - Binxu Li; Tiankai Yan; Yuanting Pan; Jie Luo 003; Ruiyang Ji; Jiayuan Ding; Zhe Xu; Shilong Liu; Haoyu Dong; Zihao Lin 003; Yixin Wang 003 (EMNLP (Findings), 2024)

MMedAgent: Learning to Use Medical Tools with Multi-modal Agent. - Binxu Li; Tiankai Yan; Yuanting Pan; Zhe Xu; Jie Luo 003; Ruiyang Ji; Shilong Liu; Haoyu Dong; Zihao Lin 003; Yixin Wang 003 (CoRR, 2024)

Trust it or not: Confidence-guided automatic radiology report generation. - Yixin Wang 003; Zihao Lin 003; Zhe Xu; Haoyu Dong; Jie Luo 003; Jiang Tian; Zhongchao Shi; Lifu Huang; Yang Zhang 002; Jianping Fan 007; Zhiqiang He 002 (Neurocomputing, 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 003; Lidan Wu; Wei Jin 009; Hongzhi Wen; Renming Liu; Wenzhuo Tang; Xinnan Dai; Zhaoheng Li; et al. (J. Comput. Biol., 2024)

Deep Learning in Single-cell Analysis. - Dylan Molho; Jiayuan Ding; Wenzhuo Tang; Zhaoheng Li; Hongzhi Wen; Yixin Wang 003; Julian Venegas; Wei Jin 009; Renming Liu; Runze Su; Patrick Danaher; Robert Yang; et al. (ACM Trans. Intell. Syst. Technol., 2024)

A Survey of Visual Transformers. - Yang Liu 250; Yao Zhang 010; Yixin Wang 003; Feng Hou; Jin Yuan; Jiang Tian; Yang Zhang 002; Zhongchao Shi; Jianping Fan 007; Zhiqiang He 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)