publications

2024

1. MICAAI Chall.

   DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning

   Hui Lin, Florian Schiffers, Santiago López-Tapia, and 3 more authors

   arXiv preprint arXiv:2409.18340, 2024

   Bib

   @article{DRL-STNet,
     title = {DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning},
     author = {Lin, Hui and Schiffers, Florian and L{\'o}pez-Tapia, Santiago and Tavakoli, Neda and Kim, Daniel and Katsaggelos, Aggelos K},
     journal = {arXiv preprint arXiv:2409.18340},
     year = {2024},
   }

2. ISBI

   Brighteye: Glaucoma Screening with Color Fundus Photographs based on Vision Transformer

   Hui Lin, Charilaos Apostolidis, and Aggelos K Katsaggelos

   2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024

   Bib

   @article{lin2024brighteye,
     title = {Brighteye: Glaucoma Screening with Color Fundus Photographs based on Vision Transformer},
     author = {Lin, Hui and Apostolidis, Charilaos and Katsaggelos, Aggelos K},
     journal = {2024 IEEE International Symposium on Biomedical Imaging (ISBI)},
     year = {2024},
   }

3. 

   Usformer: A small network for left atrium segmentation of 3D LGE MRI

   Hui Lin, Santiago López-Tapia, Florian Schiffers, and 8 more authors

   Heliyon, 2024

   Bib Slides

   @article{lin2024usformer,
     title = {Usformer: A small network for left atrium segmentation of 3D LGE MRI},
     author = {Lin, Hui and L{\'o}pez-Tapia, Santiago and Schiffers, Florian and Wu, Yunan and Gunasekaran, Suvai and Hwang, Julia and Bishara, Dima and Kholmovski, Eugene and Elbaz, Mohammed and Passman, Rod S and others},
     journal = {Heliyon},
     volume = {10},
     number = {7},
     year = {2024},
     publisher = {Elsevier},
     video = {https://www.youtube.com/watch?v=4Mu5rgfUwoE},
     google_scholar_id = {QyVjEncAAAAJ}
   }

2023

1. J. Intell. Manuf.

   A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures

   Hui Lin, Yuwei Mao, Christina Xuan Yu, and 8 more authors

   Journal of Intelligent Manufacturing, 2023

   Bib

   @article{mao2023deep,
     title = {A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures},
     author = {Lin, Hui and Mao, Yuwei and Yu, Christina Xuan and Frye, Roger and Beckett, Darren and Anderson, Kevin and Jacquemetton, Lars and Carter, Fred and Gao, Zhangyuan and Liao, Wei-keng and others},
     journal = {Journal of Intelligent Manufacturing},
     volume = {34},
     number = {1},
     pages = {315--329},
     year = {2023},
     publisher = {Springer}
   }

2. MICAAI Chall.

   YOLO-Angio: An Algorithm for Coronary Anatomy Segmentation

   Hui Lin, Tom Liu, Aggelos K Katsaggelos, and 1 more author

   arXiv preprint arXiv:2310.15898, 2023

   Bib

   @article{liu2023yolo,
     title = {YOLO-Angio: An Algorithm for Coronary Anatomy Segmentation},
     author = {Lin, Hui and Liu, Tom and Katsaggelos, Aggelos K and Kline, Adrienne},
     journal = {arXiv preprint arXiv:2310.15898},
     year = {2023},
   }

3. MICAAI Chall.

   StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography

   Hui Lin, Tom Liu, Aggelos Katsaggelos, and 1 more author

   arXiv preprint arXiv:2310.14961, 2023

   Bib

   @article{lin2023stenunet,
     title = {StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography},
     author = {Lin, Hui and Liu, Tom and Katsaggelos, Aggelos and Kline, Adrienne},
     journal = {arXiv preprint arXiv:2310.14961},
     year = {2023},
   }

4. Usformer: A Light Neural Network for Left Atrium Segmentation of 3D LGE MRI

   Hui Lin, Santiago Lopez Tapia, Florian Schiffers, and 8 more authors

   2023

   Bib

   @article{lin2023usformer,
     title = {Usformer: A Light Neural Network for Left Atrium Segmentation of 3D LGE MRI},
     author = {Lin, Hui and Tapia, Santiago Lopez and Schiffers, Florian and Wu, Yunan and Yang, Huili and Iakovlev, Nikolay and Allen, Bradley D and Avery, Ryan and Lee, Daniel C and Kim, Daniel and others},
     booktitle = {2023 31st European Signal Processing Conference (EUSIPCO)},
     pages = {995--999},
     year = {2023},
     organization = {IEEE},
   }

5. Sustainability assessment and pathways for US domestic paper recycling

   Enze Jin, Stijn Ewijk, Koichi S Kanaoka, and 7 more authors

   Resources, Conservation and Recycling, 2023

   Bib

   @article{jin2023sustainability,
     title = {Sustainability assessment and pathways for US domestic paper recycling},
     author = {Jin, Enze and van Ewijk, Stijn and Kanaoka, Koichi S and Alamerew, Yohannes A and Lin, Hui and Cao, Zhi and Jabarivelisdeh, Banafsheh and Ehmann, Kornel F and Chertow, Marian R and Masanet, Eric},
     journal = {Resources, Conservation and Recycling},
     volume = {199},
     pages = {107249},
     year = {2023},
     publisher = {Elsevier}
   }

2021

1. Physical mechanisms in hybrid additive manufacturing: A process design framework

   Samantha Webster, Hui Lin, Fred M Carter III, and 2 more authors

   Journal of Materials Processing Technology, 2021

   Bib

   @article{webster2021physical,
     title = {Physical mechanisms in hybrid additive manufacturing: A process design framework},
     author = {Webster, Samantha and Lin, Hui and Carter III, Fred M and Ehmann, Kornel and Cao, Jian},
     journal = {Journal of Materials Processing Technology},
     volume = {291},
     pages = {117048},
     year = {2021},
     publisher = {Elsevier}
   }

2. Geometry-agnostic data-driven thermal modeling of additive manufacturing processes using graph neural networks

   Mojtaba Mozaffar, Shuheng Liao, Hui Lin, and 2 more authors

   Additive Manufacturing, 2021

   Bib

   @article{mozaffar2021geometry,
     title = {Geometry-agnostic data-driven thermal modeling of additive manufacturing processes using graph neural networks},
     author = {Mozaffar, Mojtaba and Liao, Shuheng and Lin, Hui and Ehmann, Kornel and Cao, Jian},
     journal = {Additive Manufacturing},
     volume = {48},
     pages = {102449},
     year = {2021},
     publisher = {Elsevier}
   }

3. Quality safety monitoring of LED chips using deep learning-based vision inspection methods

   Yufeng Shu, Bin Li, and Hui Lin

   Measurement, 2021

   Bib

   @article{shu2021quality,
     title = {Quality safety monitoring of LED chips using deep learning-based vision inspection methods},
     author = {Shu, Yufeng and Li, Bin and Lin, Hui},
     journal = {Measurement},
     volume = {168},
     pages = {108123},
     year = {2021},
     publisher = {Elsevier}
   }

2020

1. IEEE TASE

   Defect image sample generation with GAN for improving defect recognition

   Shuanlong Niu, Bin Li, Xinggang Wang, and 1 more author

   IEEE Transactions on Automation Science and Engineering, 2020

   Bib

   @article{niu2020defect,
     title = {Defect image sample generation with GAN for improving defect recognition},
     author = {Niu, Shuanlong and Li, Bin and Wang, Xinggang and Lin, Hui},
     journal = {IEEE Transactions on Automation Science and Engineering},
     volume = {17},
     number = {3},
     pages = {1611--1622},
     year = {2020},
     publisher = {IEEE},
     dimensions = {true},
   }

2019

1. J. Intell. Manuf.

   Automated defect inspection of LED chip using deep convolutional neural network

   Hui Lin, Bin Li, Xinggang Wang, and 2 more authors

   Journal of Intelligent Manufacturing, 2019

   Bib

   @article{lin2019automated,
     title = {Automated defect inspection of LED chip using deep convolutional neural network},
     author = {Lin, Hui and Li, Bin and Wang, Xinggang and Shu, Yufeng and Niu, Shuanglong},
     journal = {Journal of Intelligent Manufacturing},
     volume = {30},
     pages = {2525--2534},
     year = {2019},
     publisher = {Springer},
     dimensions = {true},
   }

2. DefectGAN: Weakly-Supervised Defect Detection using Generative Adversarial Network

   Hui Lin, Shuanlong Niu, Tongzhi Niu, and 2 more authors

   2019

   Bib

   @article{niu2019defectgan,
     title = {DefectGAN: Weakly-Supervised Defect Detection using Generative Adversarial Network},
     author = {Lin, Hui and Niu, Shuanlong and Niu, Tongzhi and Li, Bin and Wang, Xinggang},
     booktitle = {2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)},
     pages = {127--132},
     year = {2019},
     organization = {IEEE}
   }