Shengqian Zhu

According to our database, Shengqian Zhu authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

2026

Rethinking Propagation Methods for Interactive Medical Image Segmentation.

Shengqian Zhu, Yuncheng Shen, Yingyong Yin, Ying Song, Zhang Yi, Guangjun Li, Junjie Hu

IEEE J. Biomed. Health Informatics, April, 2026

MRIgRT real-time target tracking: TrackRAD2025 challenge report.

Tom Blöcker, Pia A. W. Görts, Yiling Wang, Elia Lombardo, Adrian Thummerer, Yu Fan, Yue Zhao, Christianna Iris Papadopoulou, Coen Hurkmans, Rob H. N. Tijssen, Davide Cusumano, Martijn P. W. Intven, Pim Borman, Marco Riboldi, Denis Dudás, Hilary L. Byrne, Lorenzo Placidi, Marco Fusella, Michael Jameson, Miguel Palacios, Paul Cobussen, Tobias Finazzi, Shyama U. Tetar, Cornelis J. A. Haasbeek, Paul J. Keall, Matteo Maspero, Christopher Kurz, Amparo Soeli Betancourt Tarifa, Kailin He, Shengqian Zhu, Ying Song, Guangjun Li, Junjie Hu, Felix Knispel, Sergios Gatidis, Hung Chu, Jiapan Guo, Maximilian Nielsen, Thilo Sentker, Valentin Boussot, Cédric Hémon, Jing Ni, Konstantinos Georgas, Theodoros P. Vagenas, George K. Matsopoulos, Guillaume Landry

Medical Image Anal., 2026

Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation.

Shengqian Zhu, Chengrong Yu, Qiang Wang, Ying Song, Guangjun Li, Jiafei Wu, Xiaogang Xu, Zhang Yi, Junjie Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Exploiting Unlabeled Structures through Task Consistency Training for Versatile Medical Image Segmentation.

Shengqian Zhu, Jiafei Wu, Xiaogang Xu, Chengrong Yu, Ying Song, Zhang Yi, Guangjun Li, Junjie Hu

CoRR, September, 2025

Visual prompt-driven universal model for medical image segmentation in radiotherapy.

Shengqian Zhu, Chengrong Yu, Zhang Yi, Junjie Hu

Knowl. Based Syst., 2025

PRIME: Prototype-Driven Class Incremental Learning for Medical Image Segmentation.

Shengqian Zhu, Chengrong Yu, Wenbo Qi, Jiafei Wu, Ying Song, Guangjun Li, Zhang Yi, Xiaogang Xu, Junjie Hu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024

Leveraging denoising diffusion probabilistic model to improve the multi-thickness CT segmentation.

Chengrong Yu, Ying Song, Qiang Wang, Shengqian Zhu, Zhang Yi, Junjie Hu

Neurocomputing, 2024

Incorporating Adaptive Sparse Graph Convolutional Neural Networks for Segmentation of Organs at Risk in Radiotherapy.

Junjie Hu, Chengrong Yu, Shengqian Zhu, Haixian Zhang

Int. J. Intell. Syst., 2024

Regularizing deep neural networks for medical image analysis with augmented batch normalization.

Shengqian Zhu, Chengrong Yu, Junjie Hu

Appl. Soft Comput., 2024

2022

Segmentation for regions of interest in radiotherapy by self-supervised learning.

Chengrong Yu, Junjie Hu, Guiyuan Li, Shengqian Zhu, Sen Bai, Zhang Yi

Knowl. Based Syst., 2022