Xinyang Feng

According to our database, Xinyang Feng authored at least 14 papers between 2016 and 2021.

Collaborative distances:

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

2021

Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection.

Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Deep Learning Identifies Neuroimaging Signatures Of Alzheimer's Disease Using Structural And Synthesized Functional Mri Data.

Nanyan Zhu, Chen Liu, Xinyang Feng, Dipika Sikka, Sabrina J. Gjerswold-Selleck, Scott A. Small, Jia Guo

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

DNN-Based Linear Prediction Residual Enhancement for Speech Dereverberation.

Xinyang Feng, Nuo Li, Zunwen He, Yan Zhang, Wancheng Zhang

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020

Characterizing Alzheimer's Disease With Image and Genetic Biomarkers Using Supervised Topic Models.

Jie Yang, Xinyang Feng, Andrew F. Laine, Elsa D. Angelini

IEEE J. Biomed. Health Informatics, 2020

Substituting Gadolinium in Brain MRI Using DeepContrast.

Haoran Sun, Xueqing Liu, Xinyang Feng, Chen Liu, Nanyan Zhu, Sabrina J. Gjerswold-Selleck, Hong-Jian Wei, Pavan S. Upadhyayula, Angeliki Mela, Cheng-Chia Wu, Peter D. Canoll, Andrew F. Laine, J. Thomas Vaughan, Scott A. Small, Jia Guo

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Encoding Human Cortex Using Spherical CNNs - A Study on Alzheimer's Disease Classification.

Hugo Barbaroux, Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Large-scale neuroimaging in Alzheimer's disease and normal aging.

Xinyang Feng

PhD thesis, 2019

Estimating brain age based on a healthy population with deep learning and structural MRI.

Xinyang Feng, Zachary C. Lipton, Jie Yang, Scott A. Small, Frank A. Provenzano

CoRR, 2019

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data.

Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Discriminative analysis of the human cortex using spherical CNNs - a study on Alzheimer's disease diagnosis.

Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini

CoRR, 2018

Alzheimer's disease diagnosis based on anatomically stratified texture analysis of the hippocampus in structural MRI.

Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini

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

2017

A novel study on fuzzy ideals and fuzzy filters of ordered *-semigroups.

Xinyang Feng, Jian Tang, Bijan Davvaz, Yanfeng Luo

J. Intell. Fuzzy Syst., 2017

Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules.

Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Texton and sparse representation based texture classification of lung parenchyma in CT images.

Jie Yang, Xinyang Feng, Elsa D. Angelini, Andrew F. Laine

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016