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4 papers
BrainCast: A Spatio-Temporal Forecasting Model for Whole-Brain fMRI Time Series Prediction
Yunlong Gao, Jinbo Yang, Li Xiao +5
Functional magnetic resonance imaging (fMRI) enables noninvasive investigation of brain function, while short clinical scan durations, arising from human and non-human factors, usu…
DDS-UDA: Dual-Domain Synergy for Unsupervised Domain Adaptation in Joint Segmentation of Optic Disc and Optic Cup
Yusong Xiao, Yuxuan Wu, Li Xiao +3
Convolutional neural networks (CNNs) have achieved exciting performance in joint segmentation of optic disc and optic cup on single-institution datasets. However, their clinical tr…
Sparse Phase Retrieval with Redundant Dictionary via -Analysis Model
Haiye Huo, Li Xiao
Sparse phase retrieval with redundant dictionary is to reconstruct the signals of interest that are (nearly) sparse in a redundant dictionary or frame from the phaseless measuremen…
Stable recovery of complex dictionary-sparse signals from phaseless measurements
Lianxing Xia, Haiye Huo
Dictionary-sparse phase retrieval, which is also known as phase retrieval with redundant dictionary, aims to reconstruct an original dictionary-sparse signal from its measurements…