Recent Journal Papers

1. Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Rui Xu, Ruofeng Tong, Yen-Wei Chen, VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric Data, IEEE Transactions on Image Processing 30 :4840-4854, 2021. 

2. Rui Xu, Tiantian Liu, Xinchen Ye*, Fei Liu, Lin Lin, Liang Li, Satoshi Tanaka, Yen-Wei Chen, Joint Extraction of Retinal Vessels and Centerlines Based on Deep Semantics and Multi-Scaled Cross-Task Aggregation, IEEE Journal of Biomedical and Health Informatics, 25 (7): 2722-2732, 2021.

3.  Fangyi Xu, Wenchao Zhu, Yao Shen, Jian Wang, Rui Xu, Chooah Outesh, Lijiang Song, Yi Gan, Cailing Pu, Hongjie Hu, Radiomic-Based Quantitative CT Analysis of Pure Ground-Glass Nodules to Predict the Invasiveness of Lung Adenocarcinoma, Front. Oncol. 10:872. doi: 10.3389/fonc.2020.00872, 2020. 

4.  Xinchen Ye, Shude Chen, Rui Xu, DPNet: Detail-Preserving Network for High Quality Monocular Depth Estimation, Pattern Recognition, Accepted, 2020.

5.  Xinchen Ye, Baoli Sun, Zhihui Wang, Jingyu Yang, Rui Xu, Haojie Li, Baopu Li, PMBANet: Progressive Multi-Branch Aggregation Network for Scene Depth Super-Resolution, IEEE Transactions on Image Processing, Accepted, 2020. 

6.  Xinchen Ye，Zheng Li，Baoli Sun，Zhihui Wang，Rui Xu，Haojie Li，Xin Fan; Deep Joint Depth Estimation and Color Correction from Monocular Underwater Images based on Unsupervised Adaptation Networks, IEEE Trans. Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2019.2958950, 2020. 

7.  Zhihui Wang， Xinchen Ye， Baoli Sun， Jingyu Yang， Rui Xu, Haojie Li， Depth Upsampling based on Deep Edge-Aware Learning, Pattern Recognition, DOI: 10.1016/j.patcog.2020.107274, 2020. 

8.  Rui Xu, Zhen Cong, Xinchen Ye, Yasushi Hirano, Shoji Kido, Tomoko Gyobu, Yutaka Kawata, Osama Honda, Noriyuki Tomiyama, Pulmonary Textures Classification via a Multi-Scale Attention Network, IEEE Journal of Bimedical and Health Informatics 24 (7) : 2014-2052, 2020. 

Recent Conference Papers

1.  Rui Xu, Xiao Cao, Yufeng Wang, Yen-wei Chen, Xinchen Ye, Lin Lin, Wenchao Zhu, Chao Chen, Fangyi Xu, Yong Zhou, Hongjie Hu, Shoji Kido, Noriyuki Tomiyama, Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images, International Conference on Pattern Recognition (ICPR), Mila, Italy, January 10-15, 2021. 

2. Xinchen Ye, Yuyao Xu, Rui Xu, Shoji Kido, Noriyuki Tomiyama, Detail-Revealing Deep Low-Dose CT Reconstruction, International Conference on Pattern Recognition (ICPR), Mila, Italy, January 10-15, 2021. 

3.  Rui Xu, Yi Wang, Tiantian Liu, Xinchen Ye, Lin Lin, Yen-wei Chen, Shoji Kido, Noriyuki Tomiyama, BG-Net: Boundary-Guided Network for Lung Segmentation on Clinical CT Images, International Conference on Pattern Recognition (ICPR), Mila, Italy, January 10-15, 2021. 

4.  Rui Xu, Tiantian Liu, Xinchen Ye, Yen-Wei Chen, Lin Lin, Yen-Wei Chen, Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), Virtual Lima, Peru, October 4th-8th, 2020. (arXiv Version : https://arxiv.org/abs/2004.12776) 

5.  Rui Xu, Xinchen Ye, Guiliang Jiang, Tiantian Liu, Liang Li, Satoshi Tanaka, Retinal Vessel Segmentation via a Semantics and Multi-Scale Aggregation Network, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Virtual Barcelona, May 4-8 2020. 

6.  Rui Xu, Zhen Cong, Xinchen Ye, Shoji Kido, Noriyuki Tomiyama, Unsupervised Content-Perserved Adaptation Network for Classification of Pulmonary Textures from Different CT Scanners, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Virtual Barcelona, May 4-8 2020.

7.  Xinchen Ye, Mingliang Zhang, Xin Fan, Rui Xu, Juncheng Pu, Ruoke Yan, Cascaded Detail-Aware Network for Unsupervised Monocular Depth Estimation, IEEE International Conference on Multimedia and Expo（ICME 2020）, London, UK. 

8.  Xinchen Ye, Mingliang Zhang, Rui Xu, Wei Zhong, Xin Fan, Unsupervised Monocular Depth Estimation based on Dual Attention Mechanism and Depth-Aware Loss. IEEE International Conference on Multimedia and Expo（ICME 2019）, Shanghai, China. 

9.  Rui Xu, Zhen Cong, Xinchen Ye, Yasushi Hirano, Shoji Kido, Pulmonary Textures Classification Using a Deep Neural Network with Appearance and Geometry Gues, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Calgary, Alberta, April 15-20 2018. 

10. Rui Xu, Guiliang Jiang, Xinchen Ye, Yen-Wei Chen, Retinal Vessel Segmentation via Multiscaled Deep Guidance, Pacific Rim Conference on Multimedia 2018 (PCM 2018), Hefei, China, September 21-22, 2018. 

11. Xinchen Ye, Hongcan Xu, Xiang Ji, Rui Xu, Underwater Image Enhancement using Stacked Generative Adversarial Networks. Pacific Rim Conference on Multimedia 2018 (PCM 2018), Hefei, China, September 21-22, 2018. 

12. Rui Xu, Jiao Pan, Xinchen Ye, Yasuhi Hirano, Shoji Kido, Satoshi Tanaka, A pilot study to utilize a deep convolutional network to segment lungs with complex opacities, 2017 Chinese Automation Congress :3291-3295, 2017.