Measurement of 3D Motion of Myocardial Material Points from Explicit B-Surface Reconstruction of Tagged MRI Data. - Amir A. Amini; Petia Radeva; Mohamed Elayyadi; Debiao Li (MICCAI, 1998)

A dynamic programming solution to tracking and elastically matching left ventricular walls in cardiac cine MRI. - Sotirios A. Tsaftaris; Valentin Andermatt; Andre Schlegel; Aggelos K. Katsaggelos; Debiao Li; Rohan Dharmakumar (ICIP, 2008)

Automatic detection of significant and subtle arterial lesions from coronary CT angiography. - Dongwoo Kang; Piotr J. Slomka; Ryo Nakazato; Victor Cheng; James K. Min; Debiao Li; Daniel S. Berman; C.-C. Jay Kuo; Damini Dey (Image Processing, 2012)

Automated Pericardial Fat Quantification from Coronary Magnetic Resonance Angiography. - Xiaowei Ding; Jianing Pang; Zhou Ren; Mariana Diaz-Zamudio; Daniel S. Berman; Debiao Li; Demetri Terzopoulos; Piotr J. Slomka; Damini Dey (MIUA, 2015)

Implementation of web-based manufacturing process aid in the electronic assembly shop floor. - Debiao Li; Venkatesh Raghavan; Sang Won Yoon (J. Intell. Manuf., 2015)

Brain MRI super resolution using 3D deep densely connected neural networks. - Yuhua Chen; Yibin Xie; Zhengwei Zhou; Feng Shi 001; Anthony G. Christodoulou; Debiao Li (ISBI, 2018)

Calcium removal from cardiac ct images using deep convolutional neural network. - Siming Yan; Feng Shi 001; Yuhua Chen; Damini Dey; Sang-Eun Lee; Hyuk-Jae Chang; Debiao Li; Yibin Xie (ISBI, 2018)

Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network. - Yuhua Chen; Feng Shi 001; Anthony G. Christodoulou; Yibin Xie; Zhengwei Zhou; Debiao Li (MICCAI (1), 2018)

An adaptive clustering-based genetic algorithm for the dual-gantry pick-and-place machine optimization. - Tian He 005; Debiao Li; Sang Won Yoon (Adv. Eng. Informatics, 2018)

Accelerated Cardiac Diffusion Tensor Imaging Using Joint Low-Rank and Sparsity Constraints. - Sen Ma; Christopher T. Nguyen; Anthony G. Christodoulou; Daniel Luthringer; Jon Kobashigawa; Sang-Eun Lee; Hyuk-Jae Chang; Debiao Li (IEEE Trans. Biomed. Eng., 2018)

Substantia nigra segmentation on Neuromelanin-sensitive MRI. - Touseef Ahmad Qureshi; Elliot Hogg; Cody Lynch; Debiao Li; Michele Tagliati; Zhaoyang Fan (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Deep Learning Within a Priori Temporal Feature Spaces for Large-Scale Dynamic MR Image Reconstruction: Application to 5-D Cardiac MR Multitasking. - Yuhua Chen; Jaime L. Shaw; Yibin Xie; Debiao Li; Anthony G. Christodoulou (MICCAI (2), 2019)

Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks. - Yuhua Chen; Dan Ruan; Jiayu Xiao; Lixia Wang; Bin Sun; Rola Saouaf; Wensha Yang; Debiao Li; Zhaoyang Fan (CoRR, 2019)

Clustering-Based Heuristic to Optimize Nozzle and Feeder Assignments for Collect-and-Place Assembly. - Debiao Li; Tian He 005; Sang Won Yoon (IEEE Trans Autom. Sci. Eng., 2019)

Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks. - Feng Shi 001; Qi Yang; Xiuhai Guo; Touseef Ahmad Qureshi; Zixiao Tian; Huijuan Miao; Damini Dey; Debiao Li; Zhaoyang Fan (IEEE Trans. Biomed. Eng., 2019)

MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better. - Yuhua Chen; Anthony G. Christodoulou; Zhengwei Zhou; Feng Shi 001; Yibin Xie; Debiao Li (CoRR, 2020)

Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network. - Qing Lyu 003; Hongming Shan; Yibin Xie; Debiao Li; Ge Wang 001 (CoRR, 2020)

Predicting the printed circuit board cycle time of surface-mount-technology production lines using a symbiotic organism search-based support vector regression ensemble. - Debiao Li; Siping Chen; Raymond Chiong; Liting Wang; Sandeep Dhakal (Int. J. Prod. Res., 2021)

A hybrid differential evolution algorithm for parallel machine scheduling of lace dyeing considering colour families, sequence-dependent setup and machine eligibility. - Debiao Li; Jing Wang; Rui Qiang; Raymond Chiong (Int. J. Prod. Res., 2021)

Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network. - Qing Lyu 003; Hongming Shan; Yibin Xie; Alan C. Kwan; Yuka Otaki; Keiichiro Kuronuma; Debiao Li; Ge Wang 001 (IEEE Trans. Medical Imaging, 2021)

Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction. - Zihao Chen; Yuhua Chen; Yibin Xie; Debiao Li; Anthony G. Christodoulou (ISBI, 2022)

Intracranial Vessel Wall Segmentation with Deep Learning Using a Novel Tiered Loss Function to Incorporate Class Inclusion. - Hanyue Zhou; Jiayu Xiao; Debiao Li; Zhaoyang Fan; Dan Ruan (ISBI, 2022)

FedRNN: Federated Learning with RNN-Based Aggregation on Pancreas Segmentation. - Zengtian Deng; Touseef Ahmad Qureshi; Sehrish Javed; Lixia Wang; Anthony G. Christodoulou; Yibin Xie; Srinavas Gaddam; Stephen Jacob Pandol; Debiao Li (MICAD, 2022)

Optimization study of three-stage assembly flowshop problem in pharmacy automation dispensing systems. - Debiao Li; Xiaoming Ruan; Qing Yue (Comput. Oper. Res., 2022)

Segmentation of Pancreatic Subregions in Computed Tomography Images. - Sehrish Javed; Touseef Ahmad Qureshi; Zengtian Deng; Ashley Wachsman; Yaniv Raphael; Srinivas Gaddam; Yibin Xie; Stephen Jacob Pandol; Debiao Li (J. Imaging, 2022)

GANcMRI: Cardiac magnetic resonance video generation and physiologic guidance using latent space prompting. - Milos Vukadinovic; Alan C. Kwan; Debiao Li; David Ouyang (ML4H@NeurIPS, 2023)

An Order Scheduling Heuristic to Minimize the Total Collation Delays and the Makespan in High-Throughput Make-to-Order Manufacturing Systems. - Husam Dauod; Nieqing Cao; Debiao Li; Jaehee Kim; Sang Won Yoon; Daehan Won (Oper. Res. Forum, 2023)

An Improved Prescriptive Tree-Based Model for Stochastic Parallel Machine Scheduling. - Siping Chen; Debiao Li; Nasimul Noman; Kyle Robert Harrison; Raymond Chiong (AI (1), 2024)

An Optimised Light Gradient Boosting Machine Model for Setup Time Prediction in Electronic Production Lines. - Siping Chen; Debiao Li; Xiqin Gan; Raymond Chiong (GECCO Companion, 2024)

A dynamical teaching-learning-based optimization algorithm for fuzzy energy-efficient parallel batch processing machines scheduling in fabric dyeing process. - Jing Wang; Debiao Li; Hongtao Tang; Xixing Li; Deming Lei (Appl. Soft Comput., 2024)

EchoPrime: A Multi-Video View-Informed Vision-Language Model for Comprehensive Echocardiography Interpretation. - Milos Vukadinovic; Xiu Tang; Neal Yuan; Paul P. Cheng; Debiao Li; Susan Cheng; Bryan He; David Ouyang (CoRR, 2024)

A Metaheuristic Framework for Energy-Intensive Industries With Batch Processing Machines. - Mehdi Abedi; Raymond Chiong; Nasimul Noman; Xiaoya Liao; Debiao Li (IEEE Trans. Engineering Management, 2024)

Learning and Optimization of Patient-Physician Matching Index in Specialty Care. - Debiao Li; Xiaoqiang Chen; Siping Chen (IEEE Trans Autom. Sci. Eng., 2024)

A prescriptive tree-based model for energy-efficient room scheduling: Considering uncertainty in energy generation and consumption. - Siping Chen; Raymond Chiong; Debiao Li (Eur. J. Oper. Res., 2025)

Multi-stage mine production timetabling with optimising the sizes of mining operations: an application of parallel-machine flow shop scheduling with lot streaming. - Shi Qiang Liu; Erhan Kozan; Mahmoud Masoud; Debiao Li; Kai Luo (Ann. Oper. Res., 2025)