Search Results for author: Xinyang Feng

Found 7 papers, 1 papers with code

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

no code implementations29 Jul 2021 Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen

Next, a dual discriminator based adversarial training procedure, which jointly considers an image discriminator that can maintain the local consistency at frame-level and a video discriminator that can enforce the global coherence of temporal dynamics, is employed to enhance the future frame prediction.

Anomaly Detection

Deep Learning Identifies Neuroimaging Signatures of Alzheimer's Disease Using Structural and Synthesized Functional MRI Data

no code implementations10 Apr 2021 Nanyan Zhu, Chen Liu, Xinyang Feng, Dipika Sikka, Sabrina Gjerswold-Selleck, Scott A. Small, Jia Guo

Here we propose a potential solution by first learning a structural-to-functional transformation in brain MRI, and further synthesizing spatially matched functional images from large-scale structural scans.

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

no code implementations1 Jul 2019 Xinyang Feng, Zachary C. Lipton, Jie Yang, Scott A. Small, Frank A. Provenzano

Numerous studies have established that estimated brain age, as derived from statistical models trained on healthy populations, constitutes a valuable biomarker that is predictive of cognitive decline and various neurological diseases.

Age Estimation

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

no code implementations19 Dec 2018 Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini

In neuroimaging studies, the human cortex is commonly modeled as a sphere to preserve the topological structure of the cortical surface.

General Classification

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

5 code implementations20 Nov 2018 Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla

Subsequently, given the signature matrices, a convolutional encoder is employed to encode the inter-sensor (time series) correlations and an attention based Convolutional Long-Short Term Memory (ConvLSTM) network is developed to capture the temporal patterns.

Time Series Unsupervised Anomaly Detection

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

no code implementations4 Jul 2017 Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini

Automated detection and segmentation of pulmonary nodules on lung computed tomography (CT) scans can facilitate early lung cancer diagnosis.

Computed Tomography (CT) General Classification +3

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