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03/06/2023
SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images
To achieve fast, robust, and accurate reconstruction of the human cortic...
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01/27/2023
Deep Clustering Survival Machines with Interpretable Expert Distributions
Conventional survival analysis methods are typically ineffective to char...
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01/21/2023
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making
The Cauchy-Schwarz (CS) divergence was developed by Príncipe et al. in 2...
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01/16/2023
Causal Recurrent Variational Autoencoder for Medical Time Series Generation
We propose causal recurrent variational autoencoder (CR-VAE), a novel ge...
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02/07/2022
Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing
We develop a new neural network based independent component analysis (IC...
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12/11/2020
Unsupervised deep learning for individualized brain functional network identification
A novel unsupervised deep learning method is developed to identify indiv...
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10/04/2020
MDReg-Net: Multi-resolution diffeomorphic image registration using fully convolutional networks with deep self-supervision
We present a diffeomorphic image registration algorithm to learn spatial...
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02/13/2020
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation
Segmentation of brain structures from magnetic resonance (MR) scans play...
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05/07/2019
Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation
Automatic segmentation of fine-grained brain structures remains a challe...
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04/15/2019
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI
Introduction: It is challenging at baseline to predict when and which in...
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01/05/2019
Fully-automatic segmentation of kidneys in clinical ultrasound images using a boundary distance regression network
It remains challenging to automatically segment kidneys in clinical ultr...
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01/05/2019
Early Prediction of Alzheimer's Disease Dementia Based on Baseline Hippocampal MRI and 1-Year Follow-Up Cognitive Measures Using Deep Recurrent Neural Networks
Multi-modal biological, imaging, and neuropsychological markers have dem...
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01/05/2019
Deep Convolutional Neural Networks for Imaging Data Based Survival Analysis of Rectal Cancer
Recent radiomic studies have witnessed promising performance of deep lea...
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11/12/2018
Subsequent Boundary Distance Regression and Pixelwise Classification Networks for Automatic Kidney Segmentation in Ultrasound Images
It remains challenging to automatically segment kidneys in clinical ultr...
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09/14/2018
Brain decoding from functional MRI using long short-term memory recurrent neural networks
Decoding brain functional states underlying different cognitive processe...
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09/14/2018
Identification of temporal transition of functional states using recurrent neural networks from functional MRI
Dynamic functional connectivity analysis provides valuable information f...
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09/14/2018
Identification of multi-scale hierarchical brain functional networks using deep matrix factorization
We present a deep semi-nonnegative matrix factorization method for ident...
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01/11/2018
Brain Age Prediction Based on Resting-State Functional Connectivity Patterns Using Convolutional Neural Networks
Brain age prediction based on neuroimaging data could help characterize ...
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01/11/2018
Non-Rigid Image Registration Using Self-Supervised Fully Convolutional Networks without Training Data
A novel non-rigid image registration algorithm is built upon fully convo...
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09/05/2017