Detecting abnormalities in resting-state dynamics: An unsupervised learning approach

16 August 2019

Papers citing "Detecting abnormalities in resting-state dynamics: An unsupervised learning approach"

7 / 7 papers shown

Title
Machine learning in resting-state fMRI analysis Meenakshi Khosla K. Jamison G. Ngo Amy Kuceyeski M. Sabuncu 41 172 0 30 Dec 2018
Future Frame Prediction for Anomaly Detection -- A New Baseline Wen Liu Weixin Luo Dongze Lian Shenghua Gao 3DH 173 1,078 0 28 Dec 2017
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example Alexandre Abraham M. Milham A. di Martino Cameron R. Craddock Dimitris Samaras Bertrand Thirion Gaël Varoquaux 58 574 0 18 Nov 2016
Learning Temporal Regularity in Video Sequences Mahmudul Hasan Jonghyun Choi J. Neumann Amit K. Roy-Chowdhury L. Davis 169 1,106 0 15 Apr 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 566 7,992 0 13 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,196 0 18 May 2015
Unsupervised Learning of Video Representations using LSTMs Nitish Srivastava Elman Mansimov Ruslan Salakhutdinov SSL 135 2,591 0 16 Feb 2015