Ma, Jun

The Liver Tumor Segmentation Benchmark (LiTS)

Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., et al. (2019) · arXiv

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 1,412

The Liver Tumor Segmentation Benchmark (LiTS)

Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., et al. (2023) · Medical Image Analysis

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 1,412

Loss odyssey in medical image segmentation

Ma, J., Chen, J., Ng, M., Huang, R., Li, Y., Li, C., Yang, X., & Martel, A. L. (2021) · Medical Image Analysis

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 662

The multimodality cell segmentation challenge: toward universal solutions

Ma, J., Xie, R., Ayyadhury, S., Ge, C., Gupta, A., Gupta, R., Gu, S., Zhang, Y., Lee, G., Kim, J., et al. (2024) · Nature Methods

Cell Image Analysis TechniquesAdvanced Neural Network Applications

Cited by 154

Segment Anything in Medical Images

Ma, J., He, Y., Li, F., Han, L., You, C., & Wang, B. (2023) · arXiv

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 67

Towards foundation models of biological image segmentation

Ma, J., & Wang, B. (2023) · Nature Methods

Cell Image Analysis TechniquesMedical Image Segmentation Techniques

Cited by 57