Helen A. Shih

According to our database, Helen A. Shih authored at least 5 papers between 2018 and 2025.

Collaborative distances:

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

2025

Data publication: Deep learning for dose-averaged linear energy transfer estimation in pencil-beam scanning and double scattering proton plans with uncertainty-aware external validation.

Aaron Markus Kieslich, Yerik Singh, Martina Palkowitsch, Sebastian Starke, Fabian Hennings, Esther Gera Cornelia Troost, Mechthild Krause, Jona Bensberg, Armin Lühr, Feline Heinzelmann, Christian Bäumer, Beate Timmermann, Nicolas Depauw, Helen A. Shih, Steffen Löck

Dataset, December, 2025

Overall Survival Prediction of Brain Tumor Patients with Multimodal MRI using Swin Unetr.

Gihyeon Kim, Fangxu Xing, Hyoun-Joong Kong, Emiliano Santarnecchi, Helen A. Shih, Thomas Bortfeld, Georges El Fakhri, Xiaofeng Liu, Jang Hwan Choi, Jonghye Woo

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

Treatment-wise Glioblastoma Survival Inference with Multi-parametric Preoperative MRI.

Xiaofeng Liu, Nadya Shusharina, Helen A. Shih, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo

CoRR, 2024

2023

Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI.

Xiaofeng Liu, Helen A. Shih, Fangxu Xing, Emiliano Santarnecchi, Georges El Fakhri, Jonghye Woo

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

2018

Subject-specific brain tumor growth modelling via an efficient Bayesian inference framework.

Yongjin Chang, Gregory C. Sharp, Quanzheng Li, Helen A. Shih, Georges El Fakhri, Jong Beom Ra, Jonghye Woo

Proceedings of the Medical Imaging 2018: Image Processing, 2018