Revisiting nnU-Net for Iterative Pseudo Labeling and Efficient Sliding Window Inference. - Ziyan Huang; Haoyu Wang 010; Jin Ye 002; Jingqi Niu; Can Tu; Yuncheng Yang; Shiyi Du; Zhongying Deng; Lixu Gu; Junjun He (FLARE@MICCAI, 2022)

Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation. - Can Tu; Ziyan Huang; Zhongying Deng; Yuncheng Yang; Chenglong Ma; Junjun He; Jin Ye 002; Haoyu Wang 010; Xiaowei Ding (LAScarQS@MICCAI, 2022)

An evaluation of U-Net in Renal Structure Segmentation. - Haoyu Wang 010; Ziyan Huang; Jin Ye 002; Can Tu; Yuncheng Yang; Shiyi Du; Zhongying Deng; Chenglong Ma; Jingqi Niu; Junjun He (CoRR, 2022)

Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans. - Jin Ye 002; Haoyu Wang 010; Ziyan Huang; Zhongying Deng; Yanzhou Su; Can Tu; Qian Wu; Yuncheng Yang; Meng Wei; Jingqi Niu; Junjun He (CoRR, 2022)

Exploiting Pseudo-labeling and nnU-Netv2 Inference Acceleration for Abdominal Multi-organ and Pan-Cancer Segmentation. - Ziyan Huang; Jin Ye 002; Haoyu Wang 010; Zhongying Deng; Tianbin Li; Junjun He (FLARE@MICCAI, 2023)

Evaluating STU-Net for Brain Tumor Segmentation. - Ziyan Huang; Jin Ye 002; Haoyu Wang 010; Zhongying Deng; Yanzhou Su; Tianbin Li; Junlong Cheng; Jianpin Chen; Sizheng Guo; Yiqing Shen 003; Junjun He (BraTS/CrossMoDA@MICCAI, 2023)

STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training. - Ziyan Huang; Haoyu Wang 010; Zhongying Deng; Jin Ye 002; Yanzhou Su; Hui Sun; Junjun He; Yun Gu; Lixu Gu; Shaoting Zhang 001; Yu Qiao 001 (CoRR, 2023)

SAM-Med2D. - Junlong Cheng; Jin Ye 002; Zhongying Deng; Jianpin Chen; Tianbin Li; Haoyu Wang 010; Yanzhou Su; Ziyan Huang; Jilong Chen; Lei Jiang; Hui Sun; Junjun He; et al. (CoRR, 2023)

A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation. - Ziyan Huang; Zhongying Deng; Jin Ye 002; Haoyu Wang 010; Yanzhou Su; Tianbin Li; Hui Sun; Junlong Cheng; Jianpin Chen; Junjun He; Yun Gu; Shaoting Zhang 001; et al. (CoRR, 2023)

SAM-Med3D. - Haoyu Wang 010; Sizheng Guo; Jin Ye 002; Zhongying Deng; Junlong Cheng; Tianbin Li; Jianpin Chen; Yanzhou Su; Ziyan Huang; Yiqing Shen 003; Bin Fu; Shaoting Zhang 001; et al. (CoRR, 2023)

SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks. - Jin Ye 002; Junlong Cheng; Jianpin Chen; Zhongying Deng; Tianbin Li; Haoyu Wang 010; Yanzhou Su; Ziyan Huang; Jilong Chen; Lei Jiang; Hui Sun; Min Zhu; et al. (CoRR, 2023)

Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies. - Pengcheng Chen; Ziyan Huang; Zhongying Deng; Tianbin Li; Yanzhou Su; Haoyu Wang 010; Jin Ye 002; Yu Qiao 001; Junjun He (CoRR, 2023)

SAM-Med3D: Towards General-Purpose Segmentation Models for Volumetric Medical Images. - Haoyu Wang 010; Sizheng Guo; Jin Ye 002; Zhongying Deng; Junlong Cheng; Tianbin Li; Jianpin Chen; Yanzhou Su; Ziyan Huang; Yiqing Shen 003; Bin Fu; Shaoting Zhang 001; et al. (ECCV Workshops (16), 2024)

SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation. - Jin Ye 002; Ying Chen; Yanjun Li 007; Haoyu Wang 010; Zhongying Deng; Ziyan Huang; Yanzhou Su; Chenglong Ma; Yuanfeng Ji; Junjun He (CoRR, 2024)

Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline. - Junlong Cheng; Bin Fu; Jin Ye 002; Guoan Wang; Tianbin Li; Haoyu Wang 010; Ruoyu Li; He Yao; Junren Chen; Jingwen Li; Yanzhou Su; Min Zhu; et al. (CVPR, 2025)

A-Eval: A benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmentation. - Ziyan Huang; Zhongying Deng; Jin Ye 002; Haoyu Wang 010; Yanzhou Su; Tianbin Li; Hui Sun; Junlong Cheng; Jianpin Chen; Junjun He; Yun Gu; Shaoting Zhang 001; et al. (Medical Image Anal., 2025)

RFMiD: Retinal Image Analysis for multi-Disease Detection challenge. - Samiksha Pachade; Prasanna Porwal; Manesh Kokare; Girish Deshmukh; Vivek Sahasrabuddhe; Zhengbo Luo; Feng Han; Zitang Sun; Li Qihan; Sei-ichiro Kamata; Edward Ho; Edward Wang; et al. (Medical Image Anal., 2025)

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. - Kelly Payette; Céline Steger; Roxane Licandro; Priscille de Dumast; Hongwei Bran Li; Matthew J. Barkovich; Liu Li; Maik Dannecker; Chen Chen 042; Cheng Ouyang; Niccolò McConnell; Alina Dana Miron; et al. (IEEE Trans. Medical Imaging, 2025)