学术期刊论文

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. (CCF-A)

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.（中科院1区Top期刊，已接收）

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. (中科院二区)

4.  Xinchen Ye*, Shude Chen, Rui Xu, DPNet: Detail-Preserving Network for High Quality Monocular Depth Estimation, Pattern Recognition, Accepted, 2020.（CCF-B, 中科院1区TOP）

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. （CCF-A, 中科院1区TOP）

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. （CCF-B, 中科院2区）

7.  Zhihui Wang， Xinchen Ye*， Baoli Sun， Jingyu Yang， Rui Xu, Haojie Li， Depth Upsampling based on Deep Edge-Aware Learning, Pattern Recognition, Pattern Recognition, DOI: 10.1016/j.patcog.2020.107274, 2020. （CCF-B, 中科院1区TOP）

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. (中科院1区Top)

会议论文
1.  Rui Xu, Yufeng Wang, Xinchen Ye, Pengcheng Wu, Yen-Wei Chen, Fangyi Xu, Wenchao Zhu, Chao Chen, Yong Zhou, Hongjie Hu, Xiaofeng Qu, Shoji Kido, Noriyuki Tomiyama, Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, May 22-27, 2022. (CCF-B)

2.  Wei Zhong, Yazhi Yuan, Xinchen Ye, Dian Zheng, Rui Xu, Underwater Stereo Matching Via Unsupervised Appearance And Feature Adaptation Networks, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, May 22-27, 2022. (CCF-B)

3.  Rui Xu, Yuening Zhang, Xinchen Ye, Fu Jin, Xia Tan, Huanli Luo, Unsupervised MR to CT Image Translation Exploiting Multi-scale and Contextual Cues, Innovation in Medicine and Healthcare (InMed), 161-170, 2022.

4.  Rui Xu, Jiaxin Zhao, Xinchen Ye, Pengcheng Wu, Zhihui Wang, Haojie Li, Yen-Wei Chen, Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation, Medical Image Computing and Computer Assisted Interventions (MICCAI), Singapore, Sep. 18-22, 2022. (医学图像处理顶级国际会议)

5.  Xinchen Ye, Zheng Sun, Rui Xu, Zhihui Wang, Haojie Li, Low-Dose CT Reconstruction via Dual-Domain Learning and Controllable Modulation, Medical Image Computing and Computer Assisted Interventions (MICCAI), Singapore, Sep. 18-22, 2022. (医学图像处理顶级国际会议)

6.  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. (CCF-C)

7.  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. (CCF-C)

8.  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. (CCF-C)

9.  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) (医学图像处理顶级会议)

10.  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. (CCF-B)

11.  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. (CCF-B)

12.  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. (CCF-B). 

13.  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. (CCF-B)

14.  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. (CCF-B)

15. 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. (CCF-C)

16. 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. (CCF-C)

17. 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.

国际专利

1.  Rui Xu, Xinchen Ye, Lin Lin, Haojie Li, Xin Fan, Zhongxuan Luo, Method Based on Deep Neural Network to Extract Appearance and Geometry Features for Pulmonary Texture Classification, 2021-11-09, 美国专利，US011170502B2. （已授权）

2.  Xinchen Ye, Rui Xu, Fan Xin, Depth Estimation and Color Correction Method for Monocular Underwater Images based on Deep Neural Network, 2022-4-5, 美国专利, US11295168. （已授权）

3.  Rui Xu, Xinchen Ye, Haojie Li, Lin Lin, Deep Network Lung Texture Recognition Method Combined with Multi-Scale Attention, 2020-12-4, 美国专利，US17112367. （申请中）

4.  Rui Xu, Xinchen Ye, Haojie Li, Lin Lin, Unsupervised Content-Preserved Domain Adaptation Method for Multiple CT Lung Texture Recognition, 2020-12-4, 美国专利, US171122623. （申请中）

5.  Xinchen Ye, Rui Xu, Xin Fan, Monocular unsupervised depth estimation method based on contextual attention mechanism, 2021-12-16，美国专利 US17109838. （申请中）

国内专利

1.  徐睿；叶昕辰；丛臻，一种结合多尺度注意力的深层网络肺部纹理识别方法，2020，中国，202010541939.4，申请中

2.  徐睿；叶昕辰；丛臻，面向多种CT肺部纹理识别的非监督保内容域适应方法，2020，中国，202010541959.1，申请中

3.  徐睿；叶昕辰；姜桂良；刘恬恬, 一种语义和多尺度融合网络的眼底图像血管分割方法，2020，中国，202010541936.0，申请中

4.  叶昕辰；吕佳龙；徐睿；樊鑫，一种基于卷积神经网络的立体视觉无监督深度估计方法，2020，中国，202010541511.X，申请中

5.  叶昕辰；徐睿；樊鑫；张明亮，一种基于上下文注意力机制的单目无监督深度估计方法，2020，中国，202010541514.3，申请中

6.  叶昕辰；黄宏威；徐睿; 樊鑫，一种基于深度神经网络的单目水下图像深度估计和颜色矫正方法，2020，中国，202010541535.5，申请中

7.  叶昕辰；徐睿；孙宝利；王智慧；李豪杰，一种基于深度神经网络的多信息渐进融合的场景深度超分辨率方法，2020，中国，202010541526.6，申请

8.  叶昕辰；徐禹尧；徐睿；樊鑫，一种基于孪生反馈网络的低剂量CT重建方法，2020，中国，202010541512.4，申请中

9.  徐睿；叶昕辰；姜桂良，一种基于多尺度深监督网络的视网膜图像血管分割方法，2019，中国，201811471196.7，申请中

10. 徐睿；叶昕辰；丛臻，一种基于深度神经网络提取表现和几何特征的肺部纹理识别方法，2018, 中国，CN201810206846.9，已授权

科研奖励

1.  王晟; 長谷川恭子; 徐睿; 岡本篤志; 田中觉, 2017年日本可视化技术情报学会技术奖, 日本可视化情报协会, 最佳论文奖, 国际学术奖, 2017.

2.  Xiangrong Zhou; Rui Xu; Takeshi Hara; Yasushi Hirano; Ryujiro Yokoyama; Masayuki Kanematsu; Hiroaki Hoshi; Shoji Kido; Hiroshi Fujita, Doi Award in Diagnostic Imaging, Japanese Society on Radiological Technology / Medical Physics, Best Paper Award, Academic Award in Japan, 2015