163 citations · 368 across the 7 of their papers we have counts for
7 papers
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection
Xinyang Feng, Dongjin Song, Yuncong Chen +3
Detecting abnormal activities in real-world surveillance videos is an important yet challenging task as the prior knowledge about video anomalies is usually limited or unavailable.…
Deep Learning Identifies Neuroimaging Signatures of Alzheimer's Disease Using Structural and Synthesized Functional MRI Data
Nanyan Zhu, Chen Liu, Xinyang Feng +4
Current neuroimaging techniques provide paths to investigate the structure and function of the brain in vivo and have made great advances in understanding Alzheimer's disease (AD).…
Substituting Gadolinium in Brain MRI Using DeepContrast
Haoran Sun, Xueqing Liu, Xinyang Feng +12
Cerebral blood volume (CBV) is a hemodynamic correlate of oxygen metabolism and reflects brain activity and function. High-resolution CBV maps can be generated using the steady-sta…
Estimating brain age based on a healthy population with deep learning and structural MRI
Xinyang Feng, Zachary C. Lipton, Jie Yang +2
Numerous studies have established that estimated brain age, as derived from statistical models trained on healthy populations, constitutes a valuable biomarker that is predictive o…
Discriminative analysis of the human cortex using spherical CNNs - a study on Alzheimer's disease diagnosis
Xinyang Feng, Jie Yang, Andrew F. Laine +1
In neuroimaging studies, the human cortex is commonly modeled as a sphere to preserve the topological structure of the cortical surface. Cortical neuroimaging measures hence can be…
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
Chuxu Zhang, Dongjin Song, Yuncong Chen +7
Nowadays, multivariate time series data are increasingly collected in various real world systems, e.g., power plants, wearable devices, etc. Anomaly detection and diagnosis in mult…
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules
Xinyang Feng, Jie Yang, Andrew F. Laine +1
Automated detection and segmentation of pulmonary nodules on lung computed tomography (CT) scans can facilitate early lung cancer diagnosis. Existing supervised approaches for auto…