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Hui-Kuo Shu
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2020 – today
- 2024
- [i2]Zach Eidex, Mojtaba Safari, Jacob F. Wynne, Richard L. J. Qiu, Tonghe Wang, David Viar Hernandez, Hui-Kuo Shu, Hui Mao, Xiaofeng Yang:
Deep Learning Based Apparent Diffusion Coefficient Map Generation from Multi-parametric MR Images for Patients with Diffuse Gliomas. CoRR abs/2407.02616 (2024) - [i1]Zach Eidex, Mojtaba Safari, Richard L. J. Qiu, David S. Yu, Hui-Kuo Shu, Hui Mao, Xiaofeng Yang:
T1-contrast Enhanced MRI Generation from Multi-parametric MRI for Glioma Patients with Latent Tumor Conditioning. CoRR abs/2409.01622 (2024) - 2022
- [c9]Yang Lei, Shadab Momin, Zhen Tian, Justin Roper, Jolinta Lin, Shannon Kahn, Hui-Kuo Shu, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Brain multi-parametric MRI tumor subregion segmentation via hierarchical substructural activation network. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - 2021
- [c8]Jiwoong Jason Jeong, Yang Lei, Karen Xu, Tian Liu, Hyunsuk Shim, Walter J. Curran, Hui-Kuo Shu, Xiaofeng Yang:
Post-op brain tumor bed detection and segmentation using 3D Mask R-CNN for dynamic magnetic resonance perfusion imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - 2020
- [c7]Jiwoong Jason Jeong, Yang Lei, Hui-Kuo Shu, Tian Liu, Liya Wang, Walter J. Curran, Hui Mao, Xiaofeng Yang:
Brain tumor segmentation using 3D mask R-CNN for dynamic susceptibility contrast enhanced perfusion imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131720 - [c6]Yabo Fu, Yang Lei, Tonghe Wang, Xiaojun Jiang, Walter J. Curran, Tian Liu, Hui-Kuo Shu, Xiaofeng Yang:
Automatic brain arteriovenous malformations segmentation on contrast CT images using combined region proposal network and V-Net. Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [c5]Yang Lei, Yingzi Liu, Tonghe Wang, Sibo Tian, Xue Dong, Xiaojun Jiang, Tian Liu, Hui Mao, Walter J. Curran, Hui-Kuo Shu, Xiaofeng Yang:
Brain MRI classification based on machine learning framework with auto-context model. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109531W - [c4]Tonghe Wang, Yang Lei, Ghazal Shafai-Erfani, Xiaojun Jiang, Xue Dong, Jun Zhou, Tian Liu, Walter J. Curran, Xiaofeng Yang, Hui-Kuo Shu:
Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images. Computer-Aided Diagnosis 2019: 109504D - [c3]Yang Lei, Tonghe Wang, Yingzi Liu, Kristin Higgins, Sibo Tian, Tian Liu, Hui Mao, Hyunsuk Shim, Walter J. Curran, Hui-Kuo Shu, Xiaofeng Yang:
MRI-based synthetic CT generation using deep convolutional neural network. Image Processing 2019: 109492T - 2018
- [c2]Yang Lei, Hui-Kuo Shu, Sibo Tian, Tonghe Wang, Tian Liu, Hui Mao, Hyunsuk Shim, Walter J. Curran, Xiaofeng Yang:
Pseudo CT Estimation using Patch-based Joint Dictionary Learning. EMBC 2018: 5150-5153 - 2017
- [c1]Xiaofeng Yang, Yang Lei, Hui-Kuo Shu, Peter Rossi, Hui Mao, Hyunsuk Shim, Walter J. Curran, Tian Liu:
Pseudo CT estimation from MRI using patch-based random forest. Image Processing 2017: 101332Q
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last updated on 2024-11-28 21:28 CET by the dblp team
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