Attention-based cropping and erasing learning with coarse-to-fine refinement for fine-grained visual classification. - Jianpin Chen; Heng Li 006; Junlin Liang; Xiaofan Su; Zhenzhen Zhai; Xinyu Chai (Neurocomputing, 2022)

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)

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)

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)

Accurate and Robust Object Detection via Selective Adversarial Learning With Constraints. - Jianpin Chen; Heng Li 006; Qi Gao; Junling Liang; Ruipeng Zhang; Liping Yin; Xinyu Chai (IEEE Trans. Image Process., 2024)

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)