Xinyang Feng

PhD, Columbia University
xf2143 AT columbia.edu

Short Bio

I work in the field of applied machine learning, computer vision and large-scale medical imaging.

I am happy to connect in LinkedIn.

Projects

Deep learning based Alzheimer's disease classification based on structural MRI

Featured in The Scientist magazine Artificial Intelligence Tackles a World of Images.

Deep CNN based weakly-supervised lung nodule detection and lung cancer prediction

Selected Publications [Google Scholar]

Xinyang Feng, J. Yang, A.F. Laine, and E.D. Angelini: Discriminative localization in CNNs for weakly-supervised segmentation of pulmonary nodules , in International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI, 2017

Xinyang Feng, J. Yang, Z.C. Lipton, S.A. Small, F.A. Provenzano: Deep learning on MRI affirms the prominence of the hippocampal formation in Alzheimer's disease classification, in Brain (under review, bioRxiv:456277), 2018

C. Zhang, D. Song, Y. Chen, Xinyang Feng, C. Lumezanu, W. Cheng, J. Ni, B. Zong, H. Chen, N.V. Chawla: A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data, in AAAI Conference on Artificial Intelligence, 2019

Teaching

Deep Learning for Biomedical Applications (BMEN E4000)

Signal Modeling (BMEN E4420)

Analysis and Quantification of Medical Imaging (BMEN E6400)

Functional Brain Imaging (BMEN E4840)