Hongyu Kan

According to our database, Hongyu Kan authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

3D Transport-based Morphometry (3D-TBM) for medical image analysis.

Hongyu Kan, Kristofor E. Pas, Ivan Medri, Naqib Sad Pathan, Natasha Ironside, Shinjini Kundu, Jingjia He, Gustavo Kunde Rohde

CoRR, February, 2026

2025

FlashOmni: A Unified Sparse Attention Engine for Diffusion Transformers.

Liang Qiao, Yue Dai, Yeqi Huang, Hongyu Kan, Jun Shi, Hong An

CoRR, September, 2025

2024

Rethinking automatic segmentation of gross target volume from a decoupling perspective.

Jun Shi, Zhaohui Wang, Shulan Ruan, Minfan Zhao, Ziqi Zhu, Hongyu Kan, Hong An, Xudong Xue, Bing Yan

Comput. Medical Imaging Graph., 2024

2023

H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation.

Jun Shi, Hongyu Kan, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Liang Qiao, Zhaohui Wang, Hong An, Xudong Xue

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Whole Slide Image Multi-Classification of Cervical Epithelial Lesions Based on Unsupervised Pre-training.

Minfan Zhao, Min Ling, Zhaohui Wang, Jun Shi, Hongyu Kan, Hong An, Wenting Han, Joseph Bartlett, Wenqi Lu

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.

Jun Shi, Zhaohui Wang, Hongyu Kan, Minfan Zhao, Xudong Xue, Bing Yan, Hong An, Jianjun Shen, Joseph Bartlett, Wenqi Lu, Jinming Duan

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.

Liang Qiao, Qiang Liu, Jun Shi, Minfan Zhao, Hongyu Kan, Zhaohui Wang, Hong An, Chenguang Xiao, Shuo Wang

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.

Hongyu Kan, Jun Shi, Minfan Zhao, Zhaohui Wang, Wenting Han, Hong An, Zhaoyang Wang, Shuo Wang

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022