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ORCIDHui Mao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[d1]Hui Mao:
Analysis of Student Learning Willingness. IEEE DataPort, 2024
- [i6]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) - [i5]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) - 2023
- [c38]Tao Peng, Hui Mao, Caishan Wang, Gongye Di, Ting Hu, Lei Zhang:
Interactive Ultrasound Prostate Cancer Segmentation using Deep Learning with Principal Curve-based Fine-tuning. BIBM 2023: 2165-2168 - [c37]Tao Peng, Daqiang Xu, Yiyun Wu, Jing Zhao, Hui Mao, Jing Cai, Lei Zhang:
Delineation of Prostate Boundary from Medical Images via a Mathematical Formula-Based Hybrid Algorithm. ICANN (8) 2023: 160-171 - [c36]Yuheng Li, Jing Wang, Chih-Wei Chang, Pretsh Patel, Ashesh B. Jani, Hui Mao, Tian Liu, Xiaofeng Yang:
Multi-parametric MRI radiomics analysis with ensemble learning for prostate lesion classification. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c35]Yuheng Li, Jing Wang, Mingzhe Hu, Pretesh Patel, Hui Mao, Tian Liu, Xiaofeng Yang:
Prostate Gleason score prediction via MRI using capsule network. Computer-Aided Diagnosis 2023 - [i4]Shaoyan Pan, Chih-Wei Chang
, Junbo Peng, Jiahan Zhang, Richard L. J. Qiu, Tonghe Wang, Justin Roper, Tian Liu, Hui Mao, Xiaofeng Yang:
Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis. CoRR abs/2305.00042 (2023) - [i3]Yuheng Li, Jacob F. Wynne, Jing Wang, Richard L. J. Qiu, Justin Roper, Shaoyan Pan, Ashesh B. Jani, Tian Liu, Pretesh R. Patel, Hui Mao, Xiaofeng Yang:
Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI. CoRR abs/2305.00385 (2023) - [i2]Shaoyan Pan, Elham Abouei, Jacob F. Wynne, Tonghe Wang, Richard L. J. Qiu, Yuheng Li, Chih-Wei Chang, Junbo Peng, Justin Roper, Pretesh Patel, David S. Yu, Hui Mao, Xiaofeng Yang:
Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model. CoRR abs/2305.19467 (2023) - [i1]Shaoyan Pan, Elham Abouei, Junbo Peng, Joshua Qian, Jacob F. Wynne, Tonghe Wang, Chih-Wei Chang, Justin Roper, Jonathon A. Nye, Hui Mao, Xiaofeng Yang:
Full-dose PET Synthesis from Low-dose PET Using High-efficiency Diffusion Denoising Probabilistic Model. CoRR abs/2308.13072 (2023) - 2022
- [j5]Jumin Xie, Ruxi Chen, Qingzhi Wang, Hui Mao:
Exploration and validation of Taraxacum mongolicum anti-cancer effect. Comput. Biol. Medicine 148: 105819 (2022) - [c34]Junhua Huang, Hui-Ling Zhen, Naixing Wang, Mingxuan Yuan, Hui Mao, Yu Huang, Jiping Tao:
Accelerate SAT-based ATPG via Preprocessing and New Conflict Management Heuristics. ASP-DAC 2022: 365-370 - [c33]Rongshang Li, Yingtian Tang, Qiquan Shi, Hui Mao, Lei Chen, Jikun Jin, Peng Lu, Zhuo Cheng:
Accurate Probabilistic Miss Ratio Curve Approximation for Adaptive Cache Allocation in Block Storage Systems. DATE 2022: 1197-1202 - [c32]Hao Li, Zehan Zhang, Xian Zhao, Yulong Wang, Yuxi Shen, Shiliang Pu, Hui Mao:
Enhancing Multi-modal Features Using Local Self-attention for 3D Object Detection. ECCV (10) 2022: 532-549 - [c31]Hui Mao, Yi Tang, Fen Tao, Min Nian, Chang Liu:
Research on machine learning-based epidemic impact on Social Electricity Consumption model. ICIIP 2022: 54:1-54:6 - [c30]Lipeng Zhang, Zheng Zhao, Yuan Zhang, Shuaitao Zhang, Di Xie, Shiliang Pu, Hui Mao:
Effcient Shift Network in Denoising-Friendly Space for Real Noise Removal. ICME 2022: 1-6 - [c29]Junhua Huang, Hui-Ling Zhen, Naixing Wang, Hui Mao, Mingxuan Yuan, Yu Huang:
Neural Fault Analysis for SAT-based ATPG. ITC 2022: 36-45 - [c28]Zehan Zhang, Yuxi Shen, Hao Li, Xian Zhao, Ming Yang, Wenming Tan, Shiliang Pu, Hui Mao:
MAFF-Net: Filter False Positive for 3D Vehicle Detection with Multi-modal Adaptive Feature Fusion. ITSC 2022: 369-376 - [c27]Huiqiao Xie, Yang Lei, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Tian Liu, Hui Mao, Xiaofeng Yang:
High-resolution MR imaging using self-supervised parallel network. Computer-Aided Diagnosis 2022 - [c26]Chuanchuan Wang, Yatong Xu, Minjie Tang, Jie Li, Hui Mao, Shiliang Pu:
Robust Vectorized Surface Reconstruction with 2D-3D Joint Optimization. SIGGRAPH Asia Posters 2022: 26:1-26:2 - 2021
- [j4]Yabo Fu, Yang Lei, Tonghe Wang, Pretesh Patel, Ashesh B. Jani, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching. Medical Image Anal. 67: 101845 (2021) - [c25]Xing Li, Qiquan Shi, Gang Hu, Lei Chen, Hui Mao, Yiyuan Yang, Mingxuan Yuan, Jia Zeng, Zhuo Cheng:
Block Access Pattern Discovery via Compressed Full Tensor Transformer. CIKM 2021: 957-966 - [c24]Yang Lei, Bing Ji, Tian Liu, Walter J. Curran, Hui Mao, Xiaofeng Yang:
Deep learning-based denoising for magnetic resonance spectroscopy signals. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c23]Yabo Fu, Yang Lei, Tonghe Wang, Pretesh Patel, Ashesh B. Jani, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang:
A learning-based nonrigid MRI-CBCT image registration method for MRI-guided prostate cancer radiotherapy. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - 2020
- [c22]Yang Lei, Tonghe Wang, Xue Dong, Kristin Higgins, Tian Liu, Walter J. Curran, Hui Mao, Jonathon A. Nye, Xiaofeng Yang:
Attenuation correction without structural images for PET imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171R - [c21]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 - [c20]Yang Lei, Xue Dong, Tonghe Wang, Kristin Higgins, Tian Liu, Walter J. Curran, Jonathan A. Nye, Hui Mao, Xiaofeng Yang:
MRI-aided attenuation correction for PET imaging with deep learning. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131723 - [c19]Xiuxiu He, Yang Lei, Yabo Fu, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Super-resolution magnetic resonance imaging reconstruction using deep attention networks. Image Processing 2020: 113132J - [c18]Qiulan Zeng, Yabo Fu, Jiwoong Jason Jeong, Yang Lei, Tonghe Wang, Hui Mao, Ashesh B. Jani, Pretesh Patel, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Weakly non-rigid MR-TRUS prostate registration using fully convolutional and recurrent neural networks. Image Processing 2020: 113132Y - [c17]Yang Lei, Jun Zhou, Xue Dong, Tonghe Wang, Hui Mao, Mark McDonald, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Multi-organ segmentation in head and neck MRI using U-Faster-RCNN. Image Processing 2020: 113133A - [c16]Yang Lei, Yabo Fu, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Multi-modality MRI arbitrary transformation using unified generative adversarial networks. Image Processing 2020: 1131303 - [c15]Yang Lei, Xue Dong, Tonghe Wang, Kristin Higgins, Tian Liu, Walter J. Curran, Hui Mao, Jonathan A. Nye, Xiaofeng Yang:
Estimating standard-dose PET from low-dose PET with deep learning. Image Processing 2020: 1131322 - [c14]Yabo Fu, Yang Lei, Jun Zhou, Tonghe Wang, Ashesh B. Jani, Pretesh Patel, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Non-rigid MRI-CT image registration with unsupervised deepdlearning-based deformation prediction. Image Processing 2020: 1131329
2010 – 2019
- 2019
- [j3]Hui Mao, James She, Ming Cheung:
Visual Arts Search on Mobile Devices. ACM Trans. Multim. Comput. Commun. Appl. 15(2s): 60:1-60:23 (2019) - [c13]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 - [c12]Jiwoong Jason Jeong, Bing Ji, Yang Lei, Liya Wang, Tian Liu, Arif Ali, Walter J. Curran, Hui Mao, Xiaofeng Yang:
Machine-learning based classification of glioblastoma using dynamic susceptibility enhanced MR image. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095329 - [c11]Bo Wang, Yang Lei, Jiwoong Jason Jeong, Tonghe Wang, Yingzi Liu, Sibo Tian, Pretesh Patel, Xiaojun Jiang, Ashesh B. Jani, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution. Computer-Aided Diagnosis 2019: 109503X - [c10]Ge Cui, Jiwoong Jason Jeong, Yang Lei, Tonghe Wang, Tian Liu, Walter J. Curran, Hui Mao, Xiaofeng Yang:
Machine-learning-based classification of Glioblastoma using MRI-based radiomic features. Computer-Aided Diagnosis 2019: 1095048 - [c9]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
- [j2]Jiqing Wen, James She, Xiaopeng Li, Hui Mao:
Visual Background Recommendation for Dance Performances Using Deep Matrix Factorization. ACM Trans. Multim. Comput. Commun. Appl. 14(1): 11:1-11:19 (2018) - [c8]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
- [j1]Guo Li, Hui Mao, Lei Xiao:
Impacts of Leader-Follower Structure on Pricing and Production Strategies in a Decentralized Assembly System. Asia Pac. J. Oper. Res. 34(1): 1740003:1-1740003:24 (2017) - [c7]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 - [c6]Hui Mao, Ming Cheung, James She:
DeepArt: Learning Joint Representations of Visual Arts. ACM Multimedia 2017: 1183-1191 - 2016
- [c5]Xiaofeng Yang, Ashesh B. Jani, Peter J. Rossi, Hui Mao, Walter J. Curran, Tian Liu:
Patch-based label fusion for automatic multi-atlas-based prostate segmentation in MR images. Image-Guided Procedures 2016: 978621 - [c4]Xiaofeng Yang, Ashesh B. Jani, Peter J. Rossi, Hui Mao, Walter J. Curran, Tian Liu:
A MRI-CT prostate registration using sparse representation technique. Image-Guided Procedures 2016: 978627 - [c3]Xiaofeng Yang, Peter Rossi, Ashesh B. Jani, Hui Mao, Walter J. Curran, Tian Liu:
3D Transrectal Ultrasound (TRUS) prostate segmentation based on optimal feature learning framework. Image Processing 2016: 97842F - 2015
- [c2]Xiaofeng Yang, Peter Rossi, Hui Mao, Ashesh B. Jani, Tomi Ogunleye, Walter J. Curran, Tian Liu:
A MR-TRUS registration method for ultrasound-guided prostate interventions. Image-Guided Procedures 2015: 94151Y - [c1]Xiaofeng Yang, Peter Rossi, Ashesh B. Jani, Hui Mao, Tomi Ogunleye, Walter J. Curran, Tian Liu:
A 3D neurovascular bundles segmentation method based on MR-TRUS deformable registration. Image Processing 2015: 941319
Coauthor Index
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