Fast and low-GPU-memory abdomen CT organ segmentation: the flare challenge J Ma, Y Zhang, S Gu, X An, Z Wang, C Ge, C Wang, F Zhang, Y Wang, ... Medical Image Analysis 82, 102616, 2022 | 105 | 2022 |
Unleashing the strengths of unlabeled data in pan-cancer abdominal organ quantification: the flare22 challenge J Ma, Y Zhang, S Gu, C Ge, S Ma, A Young, C Zhu, K Meng, X Yang, ... arXiv preprint arXiv:2308.05862, 2023 | 54 | 2023 |
Sam-med2d J Cheng, J Ye, Z Deng, J Chen, T Li, H Wang, Y Su, Z Huang, J Chen, ... arXiv preprint arXiv:2308.16184, 2023 | 48 | 2023 |
Revisiting nnu-net for iterative pseudo labeling and efficient sliding window inference Z Huang, H Wang, J Ye, J Niu, C Tu, Y Yang, S Du, Z Deng, L Gu, J He MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ …, 2022 | 34 | 2022 |
Stu-net: Scalable and transferable medical image segmentation models empowered by large-scale supervised pre-training Z Huang, H Wang, Z Deng, J Ye, Y Su, H Sun, J He, Y Gu, L Gu, S Zhang, ... arXiv preprint arXiv:2304.06716, 2023 | 30* | 2023 |
Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 23 | 2022 |
AdwU-Net: Adaptive Depth and Width U-Net for Medical Image Segmentation by Differentiable Neural Architecture Search Z Huang, Z Wang, Z Yang, L Gu Medical Imaging with Deep Learning, 2021 | 22 | 2021 |
Sam-med3d H Wang, S Guo, J Ye, Z Deng, J Cheng, T Li, J Chen, Y Su, Z Huang, ... arXiv preprint arXiv:2310.15161, 2023 | 18 | 2023 |
Exploring vanilla u-net for lesion segmentation from whole-body fdg-pet/ct scans J Ye, H Wang, Z Huang, Z Deng, Y Su, C Tu, Q Wu, Y Yang, M Wei, J Niu, ... arXiv preprint arXiv:2210.07490, 2022 | 9 | 2022 |
Sa-med2d-20m dataset: Segment anything in 2d medical imaging with 20 million masks J Ye, J Cheng, J Chen, Z Deng, T Li, H Wang, Y Su, Z Huang, J Chen, ... arXiv preprint arXiv:2311.11969, 2023 | 6 | 2023 |
Self pre-training with single-scale adapter for left atrial segmentation C Tu, Z Huang, Z Deng, Y Yang, C Ma, J He, J Ye, H Wang, X Ding Challenge on Left Atrial and Scar Quantification and Segmentation, 24-35, 2022 | 3 | 2022 |
Spine Segmentation with Multi-view GCN and Boundary Constraint D Wang, Z Yang, Z Huang, L Gu 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 2 | 2022 |
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results K Payette, C Steger, R Licandro, P de Dumast, HB Li, M Barkovich, L Li, ... arXiv preprint arXiv:2402.09463, 2024 | 1 | 2024 |
Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies P Chen, Z Huang, Z Deng, T Li, Y Su, H Wang, J Ye, Y Qiao, J He arXiv preprint arXiv:2312.04344, 2023 | | 2023 |
Exploiting Pseudo-Labeling and nnU-Netv2 Inference Acceleration for Abdominal Multi-Organ and Pan-Cancer Segmentation Z Huang, J Ye, H Wang, Z Deng, T Li, J He MICCAI 2023 FLARE Challenge, 2023 | | 2023 |
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation Z Huang, Z Deng, J Ye, H Wang, Y Su, T Li, H Sun, J Cheng, J Chen, J He, ... arXiv preprint arXiv:2309.03906, 2023 | | 2023 |
Check for updates Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation C Tu¹, Z Huang, Z Deng, Y Yang, C Ma¹, J He, J Ye, H Wang, X Ding¹ Left Atrial and Scar Quantification and Segmentation: First Challenge …, 2023 | | 2023 |
An evaluation of U-Net in Renal Structure Segmentation H Wang, Z Huang, J Ye, C Tu, Y Yang, S Du, Z Deng, C Ma, J Niu, J He arXiv preprint arXiv:2209.02247, 2022 | | 2022 |