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2020 – today
- 2024
[j13]Debiao Li
, Xiaoqiang Chen, Siping Chen:
Learning and Optimization of Patient-Physician Matching Index in Specialty Care. IEEE Trans Autom. Sci. Eng. 21(3): 2730-2741 (2024)- [j12]Mehdi Abedi, Raymond Chiong, Nasimul Noman, Xiaoya Liao, Debiao Li:
A Metaheuristic Framework for Energy-Intensive Industries With Batch Processing Machines. IEEE Trans. Engineering Management 71: 4502-4516 (2024) - [c13]Siping Chen, Debiao Li, Xiqin Gan, Raymond Chiong:
An Optimised Light Gradient Boosting Machine Model for Setup Time Prediction in Electronic Production Lines. GECCO Companion 2024: 647-650 - 2023
- [j11]Husam Dauod, Nieqing Cao, Debiao Li, Jaehee Kim, Sang Won Yoon, Daehan Won:
An Order Scheduling Heuristic to Minimize the Total Collation Delays and the Makespan in High-Throughput Make-to-Order Manufacturing Systems. Oper. Res. Forum 4(2) (2023) - [c12]Milos Vukadinovic, Alan C. Kwan, Debiao Li, David Ouyang:
GANcMRI: Cardiac magnetic resonance video generation and physiologic guidance using latent space prompting. ML4H@NeurIPS 2023: 594-606 - 2022
- [j10]Debiao Li, Xiaoming Ruan, Qing Yue:
Optimization study of three-stage assembly flowshop problem in pharmacy automation dispensing systems. Comput. Oper. Res. 144: 105810 (2022) - [j9]Sehrish Javed, Touseef Ahmad Qureshi, Zengtian Deng, Ashley Wachsman, Yaniv Raphael, Srinivas Gaddam, Yibin Xie, Stephen Jacob Pandol, Debiao Li:
Segmentation of Pancreatic Subregions in Computed Tomography Images. J. Imaging 8(7): 195 (2022) - [c11]Zihao Chen, Yuhua Chen, Yibin Xie, Debiao Li, Anthony G. Christodoulou:
Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction. ISBI 2022: 1-5 - [c10]Hanyue Zhou, Jiayu Xiao, Debiao Li, Zhaoyang Fan, Dan Ruan:
Intracranial Vessel Wall Segmentation with Deep Learning Using a Novel Tiered Loss Function to Incorporate Class Inclusion. ISBI 2022: 1-4 - [i8]Zihao Chen, Yuhua Chen, Yibin Xie, Debiao Li, Anthony G. Christodoulou:
Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction. CoRR abs/2205.01770 (2022) - 2021
- [j8]Debiao Li, Jing Wang, Rui Qiang, Raymond Chiong:
A hybrid differential evolution algorithm for parallel machine scheduling of lace dyeing considering colour families, sequence-dependent setup and machine eligibility. Int. J. Prod. Res. 59(9): 2722-2738 (2021) - [j7]Debiao Li, Siping Chen, Raymond Chiong, Liting Wang, Sandeep Dhakal:
Predicting the printed circuit board cycle time of surface-mount-technology production lines using a symbiotic organism search-based support vector regression ensemble. Int. J. Prod. Res. 59(23): 7246-7265 (2021) - [j6]Qing Lyu, Hongming Shan, Yibin Xie, Alan C. Kwan, Yuka Otaki, Keiichiro Kuronuma, Debiao Li, Ge Wang:
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network. IEEE Trans. Medical Imaging 40(8): 2170-2181 (2021) - 2020
- [i7]Yuhua Chen, Anthony G. Christodoulou, Zhengwei Zhou, Feng Shi, Yibin Xie, Debiao Li:
MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better. CoRR abs/2003.01217 (2020) - [i6]Qing Lyu, Hongming Shan, Yibin Xie, Debiao Li, Ge Wang:
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network. CoRR abs/2006.12700 (2020)
2010 – 2019
- 2019
- [j5]Debiao Li, Tian He, Sang Won Yoon:
Clustering-Based Heuristic to Optimize Nozzle and Feeder Assignments for Collect-and-Place Assembly. IEEE Trans Autom. Sci. Eng. 16(2): 755-766 (2019) - [j4]Feng Shi, Qi Yang, Xiuhai Guo, Touseef Ahmad Qureshi, Zixiao Tian, Huijuan Miao, Damini Dey, Debiao Li, Zhaoyang Fan:
Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks. IEEE Trans. Biomed. Eng. 66(10): 2840-2847 (2019) - [c9]Touseef Ahmad Qureshi, Elliot Hogg, Cody Lynch, Debiao Li, Michele Tagliati, Zhaoyang Fan:
Substantia nigra segmentation on Neuromelanin-sensitive MRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109530Y - [c8]Yuhua Chen, Jaime L. Shaw, Yibin Xie, Debiao Li, Anthony G. Christodoulou:
Deep Learning Within a Priori Temporal Feature Spaces for Large-Scale Dynamic MR Image Reconstruction: Application to 5-D Cardiac MR Multitasking. MICCAI (2) 2019: 495-504 - [i5]Yuhua Chen, Jaime L. Shaw, Yibin Xie, Debiao Li, Anthony G. Christodoulou:
Deep learning within a priori temporal feature spaces for large-scale dynamic MR image reconstruction: Application to 5-D cardiac MR Multitasking. CoRR abs/1910.00956 (2019) - [i4]Yuhua Chen, Dan Ruan, Jiayu Xiao, Lixia Wang, Bin Sun, Rola Saouaf, Wensha Yang, Debiao Li, Zhaoyang Fan:
Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks. CoRR abs/1912.11000 (2019) - 2018
- [j3]Tian He, Debiao Li, Sang Won Yoon:
An adaptive clustering-based genetic algorithm for the dual-gantry pick-and-place machine optimization. Adv. Eng. Informatics 37: 66-78 (2018) - [j2]Sen Ma, Christopher T. Nguyen, Anthony G. Christodoulou, Daniel Luthringer, Jon Kobashigawa, Sang-Eun Lee, Hyuk-Jae Chang, Debiao Li:
Accelerated Cardiac Diffusion Tensor Imaging Using Joint Low-Rank and Sparsity Constraints. IEEE Trans. Biomed. Eng. 65(10): 2219-2230 (2018) - [c7]Siming Yan, Feng Shi, Yuhua Chen, Damini Dey, Sang-Eun Lee, Hyuk-Jae Chang, Debiao Li, Yibin Xie:
Calcium removal from cardiac ct images using deep convolutional neural network. ISBI 2018: 466-469 - [c6]Yuhua Chen, Yibin Xie, Zhengwei Zhou, Feng Shi, Anthony G. Christodoulou, Debiao Li:
Brain MRI super resolution using 3D deep densely connected neural networks. ISBI 2018: 739-742 - [c5]Yuhua Chen, Feng Shi, Anthony G. Christodoulou, Yibin Xie, Zhengwei Zhou, Debiao Li:
Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network. MICCAI (1) 2018: 91-99 - [i3]Yuhua Chen, Yibin Xie, Zhengwei Zhou, Feng Shi, Anthony G. Christodoulou, Debiao Li:
Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks. CoRR abs/1801.02728 (2018) - [i2]Siming Yan, Feng Shi, Yuhua Chen, Damini Dey, Sang-Eun Lee, Hyuk-Jae Chang, Debiao Li, Yibin Xie:
Calcium Removal From Cardiac CT Images Using Deep Convolutional Neural Network. CoRR abs/1803.00399 (2018) - [i1]Yuhua Chen, Feng Shi, Anthony G. Christodoulou, Zhengwei Zhou, Yibin Xie, Debiao Li:
Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network. CoRR abs/1803.01417 (2018) - 2015
- [j1]Debiao Li, Venkatesh Raghavan, Sang Won Yoon:
Implementation of web-based manufacturing process aid in the electronic assembly shop floor. J. Intell. Manuf. 26(6): 1281-1290 (2015) - [c4]Xiaowei Ding, Jianing Pang, Zhou Ren, Mariana Diaz-Zamudio, Daniel S. Berman, Debiao Li, Demetri Terzopoulos, Piotr J. Slomka, Damini Dey:
Automated Pericardial Fat Quantification from Coronary Magnetic Resonance Angiography. MIUA 2015: 80-85 - 2012
- [c3]Dongwoo Kang, Piotr J. Slomka, Ryo Nakazato, Victor Cheng, James K. Min, Debiao Li, Daniel S. Berman, C.-C. Jay Kuo, Damini Dey:
Automatic detection of significant and subtle arterial lesions from coronary CT angiography. Medical Imaging: Image Processing 2012: 831435
2000 – 2009
- 2008
- [c2]Sotirios A. Tsaftaris, Valentin Andermatt, Andre Schlegel, Aggelos K. Katsaggelos, Debiao Li, Rohan Dharmakumar:
A dynamic programming solution to tracking and elastically matching left ventricular walls in cardiac cine MRI. ICIP 2008: 2980-2983
1990 – 1999
- 1998
- [c1]Amir A. Amini, Petia Radeva, Mohamed Elayyadi, Debiao Li:
Measurement of 3D Motion of Myocardial Material Points from Explicit B-Surface Reconstruction of Tagged MRI Data. MICCAI 1998: 110-118
Coauthor Index
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