Hui-Kuo Shu

According to our database, Hui-Kuo Shu authored at least 11 papers between 2017 and 2024.

Collaborative distances:

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

2024

T1-contrast Enhanced MRI Generation from Multi-parametric MRI for Glioma Patients with Latent Tumor Conditioning.

Zach Eidex, Mojtaba Safari, Richard L. J. Qiu, David S. Yu, Hui-Kuo Shu, Hui Mao, Xiaofeng Yang

CoRR, 2024

Deep Learning Based Apparent Diffusion Coefficient Map Generation from Multi-parametric MR Images for Patients with Diffuse Gliomas.

Zach Eidex, Mojtaba Safari, Jacob F. Wynne, Richard L. J. Qiu, Tonghe Wang, David Viar Hernandez, Hui-Kuo Shu, Hui Mao, Xiaofeng Yang

CoRR, 2024

2022

Brain multi-parametric MRI tumor subregion segmentation via hierarchical substructural activation network.

Yang Lei, Shadab Momin, Zhen Tian, Justin Roper, Jolinta Lin, Shannon Kahn, Hui-Kuo Shu, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021

Post-op brain tumor bed detection and segmentation using 3D Mask R-CNN for dynamic magnetic resonance perfusion imaging.

Jiwoong Jason Jeong, Yang Lei, Karen Xu, Tian Liu, Hyunsuk Shim, Walter J. Curran, Hui-Kuo Shu, Xiaofeng Yang

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2020

Automatic brain arteriovenous malformations segmentation on contrast CT images using combined region proposal network and V-Net.

Yabo Fu, Yang Lei, Tonghe Wang, Xiaojun Jiang, Walter J. Curran, Tian Liu, Hui-Kuo Shu, Xiaofeng Yang

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Brain tumor segmentation using 3D mask R-CNN for dynamic susceptibility contrast enhanced perfusion imaging.

Jiwoong Jason Jeong, Yang Lei, Hui-Kuo Shu, Tian Liu, Liya Wang, Walter J. Curran, Hui Mao, Xiaofeng Yang

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2019

MRI-based synthetic CT generation using deep convolutional neural network.

Yang Lei, Tonghe Wang, Yingzi Liu, Kristin Higgins, Sibo Tian, Tian Liu, Hui Mao, Hyunsuk Shim, Walter J. Curran, Hui-Kuo Shu, Xiaofeng Yang

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images.

Tonghe Wang, Yang Lei, Ghazal Shafai-Erfani, Xiaojun Jiang, Xue Dong, Jun Zhou, Tian Liu, Walter J. Curran, Xiaofeng Yang, Hui-Kuo Shu

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Brain MRI classification based on machine learning framework with auto-context model.

Yang Lei, Yingzi Liu, Tonghe Wang, Sibo Tian, Xue Dong, Xiaojun Jiang, Tian Liu, Hui Mao, Walter J. Curran, Hui-Kuo Shu, Xiaofeng Yang

Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

2018

Pseudo CT Estimation using Patch-based Joint Dictionary Learning.

Yang Lei, Hui-Kuo Shu, Sibo Tian, Tonghe Wang, Tian Liu, Hui Mao, Hyunsuk Shim, Walter J. Curran, Xiaofeng Yang

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Pseudo CT estimation from MRI using patch-based random forest.

Xiaofeng Yang, Yang Lei, Hui-Kuo Shu, Peter Rossi, Hui Mao, Hyunsuk Shim, Walter J. Curran, Tian Liu

Proceedings of the Medical Imaging 2017: Image Processing, 2017