SequentialSegNet: Combination with Sequential Feature for Multi-Organ Segmentation. - Yao Zhang 010; Xuan Jiang; Cheng Zhong; Yang Zhang 002; Zhongchao Shi; Zhensheng Li; Zhiqiang He 002 (ICPR, 2018)

Combining Convolutional Neural Network and Distance Distribution Matrix for Identification of Congestive Heart Failure. - Yaowei Li; Yao Zhang 010; Lina Zhao; Yang Zhang 002; Chengyu Liu 001; Li Zhang 013; Liuxin Zhang; Zhensheng Li; Binhua Wang; Eyk Ng; Jianqing Li 002; Zhiqiang He 002 (IEEE Access, 2018)

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)

Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database. - Yao Zhang 010; Cheng Zhong; Yang Zhang 002; Zhongchao Shi; Zhiqiang He 002 (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)

DARN: Deep Attentive Refinement Network for Liver Tumor Segmentation from 3D CT volume. - Yao Zhang 010; Jiang Tian; Cheng Zhong; Yang Zhang 002; Zhongchao Shi; Zhiqiang He 002 (ICPR, 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)

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)

Exploring Instance-Level Uncertainty for Medical Detection. - Jiawei Yang 002; Yuan Liang 001; Yao Zhang 010; Weinan Song; Kun Wang 005; Lei He 001 (ISBI, 2021)

TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation. - Jiawei Yang 002; Yao Zhang 010; Yuan Liang 001; Yang Zhang 002; Lei He 001; Zhiqiang He 002 (MICCAI (1), 2021)

Modality-Aware Mutual Learning for Multi-modal Medical Image Segmentation. - Yao Zhang 010; Jiawei Yang 002; Jiang Tian; Zhongchao Shi; Cheng Zhong; Yang Zhang 002; Zhiqiang He 002 (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)

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)

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. - Víctor M. Campello; Polyxeni Gkontra; Cristian Izquierdo; Carlos Martín-Isla; Alireza Sojoudi; Peter M. Full; Klaus H. Maier-Hein; Yao Zhang 010; Zhiqiang He 002; Jun Ma 016; Mario Parreño; Alberto Albiol; et al. (IEEE Trans. Medical Imaging, 2021)

ReMix: A General and Efficient Framework for Multiple Instance Learning Based Whole Slide Image Classification. - Jiawei Yang 002; Hanbo Chen; Yu Zhao 009; Fan Yang 081; Yao Zhang 010; Lei He 001; Jianhua Yao 001 (MICCAI (2), 2022)

mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation. - Yao Zhang 010; Nanjun He; Jiawei Yang 002; Yuexiang Li; Dong Wei 004; Yawen Huang; Yang Zhang 002; Zhiqiang He 002; Yefeng Zheng 001 (MICCAI (5), 2022)

Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images. - Yao Zhang 010; Jiawei Yang 002; Yang Liu 250; Jiang Tian; Siyun Wang; Cheng Zhong; Zhongchao Shi; Yang Zhang 002; Zhiqiang He 002 (CoRR, 2022)

Learning to Learn Domain-invariant Parameters for Domain Generalization. - Feng Hou; Yao Zhang 010; Yang Liu 250; Jin Yuan; Cheng Zhong; Yang Zhang 002; Zhongchao Shi; Jianping Fan 007; Zhiqiang He 002 (CoRR, 2022)

Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge. - Jun Ma 016; Yao Zhang 010; Song Gu; Xingle An; Zhihe Wang; Cheng Ge; Congcong Wang; Fan Zhang; Yu Wang; Yinan Xu 004; Shuiping Gou; Franz Thaler; et al. (Medical Image Anal., 2022)

AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem? - Jun Ma 016; Yao Zhang 010; Song Gu; Cheng Zhu; Cheng Ge; Yichi Zhang 007; Xingle An; Congcong Wang; Qiyuan Wang; Xin Liu; Shucheng Cao; Qi Zhang 059; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Learning How to Learn Domain-Invariant Parameters for Domain Generalization. - Feng Hou; Yao Zhang 010; Yang Liu 250; Jin Yuan; Cheng Zhong; Yang Zhang 002; Zhongchao Shi; Jianping Fan 007; Zhiqiang He 002 (ICASSP, 2023)

Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge. - Jun Ma 016; Yao Zhang 010; Song Gu; Cheng Ge; Shihao Ma; Adamo Young; Cheng Zhu; Kangkang Meng; Xin Yang 009; Ziyan Huang; Fan Zhang; Wentao Liu; et al. (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)

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. - Jianning Li 002; Antonio Pepe 003; Christina Gsaxner; Gijs Luijten; Yuan Jin; Narmada Ambigapathy; Enrico Nasca; Naida Solak; Gian Marco Melito; Afaque R. Memon; Xiaojun Chen 003; Jan Stefan Kirschke; et al. (CoRR, 2023)

UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training. - Jiayu Lei; Lisong Dai; Haoyun Jiang; Chaoyi Wu; Xiaoman Zhang; Yao Zhang 010; Jiangchao Yao; Weidi Xie; Yanyong Zhang; Yuehua Li; Ya Zhang 002; Yanfeng Wang 001 (CoRR, 2023)

One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts. - Ziheng Zhao; Yao Zhang 010; Chaoyi Wu; Xiaoman Zhang; Ya Zhang 002; Yanfeng Wang 001; Weidi Xie (CoRR, 2023)

Balanced masking strategy for multi-label image classification. - Jin Yuan; Yao Zhang 010; Zhongchao Shi; Xin Geng 001; Jianping Fan 007; Yong Rui (Neurocomputing, 2023)

Graph Attention Transformer Network for Multi-label Image Classification. - Jin Yuan; Shikai Chen; Yao Zhang 010; Zhongchao Shi; Xin Geng 001; Jianping Fan 007; Yong Rui (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. - Kendall Schmidt; Ben Bearce; Ken Chang; Laura Coombs; Keyvan Farahani; Marawan Elbatel; Kaouther Mouheb; Robert Marti; Ruipeng Zhang; Yao Zhang 010; Yanfeng Wang 001; Yaojun Hu; et al. (CoRR, 2024)

Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge. - Jun Ma 016; Yao Zhang 010; Song Gu; Cheng Ge; Ershuai Wang; Qin Zhou; Ziyan Huang; Pengju Lyu; Jian He; Bo Wang 044 (CoRR, 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)

DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes. - Yang Liu 250; Feng Hou; Yunjie Peng; Gangjian Zhang; Yao Zhang 010; Dong Xie; Peng Wang 095; Yang Zhang 002; Jiang Tian; Zhongchao Shi; Jianping Fan 007; Zhiqiang He 002 (AAAI, 2025)

UniBrain: Universal Brain MRI diagnosis with hierarchical knowledge-enhanced pre-training. - Jiayu Lei; Lisong Dai; Haoyun Jiang; Chaoyi Wu; Xiaoman Zhang; Yao Zhang 010; Jiangchao Yao; Weidi Xie; Yan-Ning Zhang 001; Yuehua Li; Ya Zhang 002; Yanfeng Wang 001 (Comput. Medical Imaging Graph., 2025)

RECISTSurv: Hybrid Multi-Task Transformer for Hepatocellular Carcinoma Response and Survival Evaluation. - Rushi Jiao; Qiuping Liu; Yao Zhang 010; Bangzheng Pu; Bingsen Xue; Yi Cheng; Kailan Yang; Xisheng Liu; Jinrong Qu; Cheng Jin 005; Ya Zhang 002; Yanfeng Wang 001; et al. (IEEE Trans. Image Process., 2025)

Gradient-aware domain-invariant learning for domain generalization. - Feng Hou; Yao Zhang 010; Yang Liu 250; Jin Yuan; Cheng Zhong; Yang Zhang 002; Zhongchao Shi; Jianping Fan 007; Zhiqiang He 002 (Multim. Syst., 2025)

Hypertasking: From Information Web to Computing Utility. - Zhi-Wei Xu; Zi-Shu Yu; Feng-Zhi Li; Yao Zhang 010 (J. Comput. Sci. Technol., 2025)