Debiao Li

According to our database, Debiao Li authored at least 33 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning and Optimization of Patient-Physician Matching Index in Specialty Care.

Debiao Li, Xiaoqiang Chen, Siping Chen

IEEE Trans Autom. Sci. Eng., July, 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

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 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

An Optimised Light Gradient Boosting Machine Model for Setup Time Prediction in Electronic Production Lines.

Siping Chen, Debiao Li, Xiqin Gan, Raymond Chiong

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

An Improved Prescriptive Tree-Based Model for Stochastic Parallel Machine Scheduling.

Siping Chen, Debiao Li, Nasimul Noman, Kyle Robert Harrison, Raymond Chiong

Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

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, June, 2023

GANcMRI: Cardiac magnetic resonance video generation and physiologic guidance using latent space prompting.

Milos Vukadinovic, Alan C. Kwan, Debiao Li, David Ouyang

Proceedings of the Machine Learning for Health, 2023

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

Optimization study of three-stage assembly flowshop problem in pharmacy automation dispensing systems.

Debiao Li, Xiaoming Ruan, Qing Yue

Comput. Oper. Res., 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

Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 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

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction.

Zihao Chen, Yuhua Chen, Yibin Xie, Debiao Li, Anthony G. Christodoulou

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network.

Qing Lyu, Hongming Shan, Yibin Xie, Alan C. Kwan, Yuka Otaki, Keiichiro Kuronuma, Debiao Li, Ge Wang

IEEE Trans. Medical Imaging, 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

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

2020

Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network.

Qing Lyu, Hongming Shan, Yibin Xie, Debiao Li, Ge Wang

CoRR, 2020

MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better.

Yuhua Chen, Anthony G. Christodoulou, Zhengwei Zhou, Feng Shi, Yibin Xie, Debiao Li

CoRR, 2020

2019

Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks.

Feng Shi, Qi Yang, Xiuhai Guo, Touseef Ahmad Qureshi, Zixiao Tian, Huijuan Miao, Damini Dey, Debiao Li, Zhaoyang Fan

IEEE Trans. Biomed. Eng., 2019

Clustering-Based Heuristic to Optimize Nozzle and Feeder Assignments for Collect-and-Place Assembly.

Debiao Li, Tian He, Sang Won Yoon

IEEE Trans Autom. Sci. Eng., 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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Substantia nigra segmentation on Neuromelanin-sensitive MRI.

Touseef Ahmad Qureshi, Elliot Hogg, Cody Lynch, Debiao Li, Michele Tagliati, Zhaoyang Fan

Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

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

An adaptive clustering-based genetic algorithm for the dual-gantry pick-and-place machine optimization.

Tian He, Debiao Li, Sang Won Yoon

Adv. Eng. Informatics, 2018

Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network.

Yuhua Chen, Feng Shi, Anthony G. Christodoulou, Yibin Xie, Zhengwei Zhou, Debiao Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Calcium removal from cardiac ct images using deep convolutional neural network.

Siming Yan, Feng Shi, Yuhua Chen, Damini Dey, Sang-Eun Lee, Hyuk-Jae Chang, Debiao Li, Yibin Xie

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Brain MRI super resolution using 3D deep densely connected neural networks.

Yuhua Chen, Yibin Xie, Zhengwei Zhou, Feng Shi, Anthony G. Christodoulou, Debiao Li

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

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

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

Proceedings of the Medical Image Understanding and Analysis, 2015

2012

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

Proceedings of the Medical Imaging 2012: Image Processing, 2012

2008

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

Proceedings of the International Conference on Image Processing, 2008

1998

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1998