Hui-Kuo Shu - RankMe

12 papers B 2Journal 3Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Efficient 3D Latent Diffusion Model for T1-contrast Enhanced MRI Generation. CoRR Zach Eidex, Mojtaba Safari, Jie Ding, Richard L. J. Qiu, Justin Roper, David S. Yu, Hui-Kuo Shu, Zhen Tian, Hui Mao, Xiaofeng Yang
2024	J	`jnl`	Deep Learning Based Apparent Diffusion Coefficient Map Generation from Multi-parametric MR Images for Patients with Diffuse Gliomas. CoRR Zach Eidex, Mojtaba Safari, Jacob F. Wynne, Richard L. J. Qiu, Tonghe Wang, David Viar Hernandez, Hui-Kuo Shu, Hui Mao, Xiaofeng Yang
2024	J	`jnl`	T1-contrast Enhanced MRI Generation from Multi-parametric MRI for Glioma Patients with Latent Tumor Conditioning. CoRR Zach Eidex, Mojtaba Safari, Richard L. J. Qiu, David S. Yu, Hui-Kuo Shu, Hui Mao, Xiaofeng Yang
2022	—	`conf`	Brain multi-parametric MRI tumor subregion segmentation via hierarchical substructural activation network. Biomedical Applications in Molecular, Structural, and Functional Imaging Yang Lei, Shadab Momin, Zhen Tian, Justin Roper, Jolinta Lin, Shannon Kahn, Hui-Kuo Shu, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2021	—	`conf`	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 Jiwoong Jason Jeong, Yang Lei, Karen Xu, Tian Liu, Hyunsuk Shim, Walter J. Curran, Hui-Kuo Shu, Xiaofeng Yang
2020	—	`conf`	Automatic brain arteriovenous malformations segmentation on contrast CT images using combined region proposal network and V-Net. Computer-Aided Diagnosis Yabo Fu, Yang Lei, Tonghe Wang, XiaoJun Jiang, Walter J. Curran, Tian Liu, Hui-Kuo Shu, Xiaofeng Yang
2020	—	`conf`	Brain tumor segmentation using 3D mask R-CNN for dynamic susceptibility contrast enhanced perfusion imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging Jiwoong Jason Jeong, Yang Lei, Hui-Kuo Shu, Tian Liu, Liya Wang, Walter J. Curran, Hui Mao, Xiaofeng Yang
2019	—	`conf`	Brain MRI classification based on machine learning framework with auto-context model. Biomedical Applications in Molecular, Structural, and Functional Imaging Yang Lei, Yingzi Liu, Tonghe Wang, Sibo Tian, Xue Dong, XiaoJun Jiang, Tian Liu, Hui Mao, Walter J. Curran, Hui-Kuo Shu, Xiaofeng Yang
2019	—	`conf`	Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images. Computer-Aided Diagnosis Tonghe Wang, Yang Lei, Ghazal Shafai-Erfani, XiaoJun Jiang, Xue Dong, Jun Zhou, Tian Liu, Walter J. Curran, Xiaofeng Yang, Hui-Kuo Shu
2019	B	`conf`	MRI-based synthetic CT generation using deep convolutional neural network. Image Processing Yang Lei, Tonghe Wang, Yingzi Liu, Kristin Higgins, Sibo Tian, Tian Liu, Hui Mao, Hyunsuk Shim, Walter J. Curran, Hui-Kuo Shu, Xiaofeng Yang
2018	—	`conf`	Pseudo CT Estimation using Patch-based Joint Dictionary Learning. EMBC Yang Lei, Hui-Kuo Shu, Sibo Tian, Tonghe Wang, Tian Liu, Hui Mao, Hyunsuk Shim, Walter J. Curran, Xiaofeng Yang
2017	B	`conf`	Pseudo CT estimation from MRI using patch-based random forest. Image Processing Xiaofeng Yang, Yang Lei, Hui-Kuo Shu, Peter Rossi, Hui Mao, Hyunsuk Shim, Walter J. Curran, Tian Liu