Minfan Zhao

According to our database1, Minfan Zhao authored at least 10 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Pruner: An Efficient Cross-Platform Tensor Compiler with Dual Awareness.
CoRR, 2024

Rethinking automatic segmentation of gross target volume from a decoupling perspective.
Comput. Medical Imaging Graph., 2024

Predictive Accuracy-Based Active Learning for Medical Image Segmentation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Contrast Learning Based Robust Framework for Weakly Supervised Medical Image Segmentation with Coarse Bounding Box Annotations.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023

H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

FRNET: An Effective Hybrid Structure for Automatic Segmentation of Head and Neck Primary Tumors from Multimodal Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Whole Slide Image Multi-Classification of Cervical Epithelial Lesions Based on Unsupervised Pre-training.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Automatic Segmentation of Target Structures for Total Marrow and Lymphoid Irradiation in Bone Marrow Transplantation.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

FcTC-UNet: Fine-grained Combination of Transformer and CNN for Thoracic Organs Segmentation.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

ITUnet: Integration Of Transformers And Unet For Organs-At-Risk Segmentation.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022


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