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A graph neural network framework for causal inference in brain networks

Scientific reports, 2021-04, Vol.11 (1), p.8061-18, Article 8061

2021

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A tool to automatically analyze electromagnetic tracking data from high dose rate brachytherapy of breast cancer patients

PloS one, 2017-09, Vol.12 (9), p.e0183608-e0183608

2017

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Brain Connectivity Analysis: A Short Survey

Computational Intelligence and Neuroscience, 2012-01, Vol.2012 (2012), p.152-172

2012

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An Optimal Approach for Selecting Discriminant Regions for the Diagnosis of Alzheimer's Disease

Current Alzheimer research, 2016-07, Vol.13 (7), p.838-844

2016

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A deep learning approach to radiation dose estimation

Physics in medicine & biology, 2020-02, Vol.65 (3), p.035007-035007

2020

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Continuous monitoring of cerebrovascular autoregulation: a validation study

Journal of neurology, neurosurgery and psychiatry, 2002-05, Vol.72 (5), p.583-586

2002

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Automatic selection of ROIs in functional imaging using Gaussian mixture models

Neuroscience letters, 2009-08, Vol.460 (2), p.108-111

2009

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A new Bayesian approach to nonnegative matrix factorization: Uniqueness and model order selection

Neurocomputing (Amsterdam), 2014-08, Vol.138, p.142-156

2014

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Knowledge-based gene expression classification via matrix factorization

Bioinformatics, 2008-08, Vol.24 (15), p.1688-1697

2008

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Analysis of SPECT brain images for the diagnosis of Alzheimer's disease based on NMF for feature extraction

Neuroscience letters, 2010-08, Vol.479 (3), p.192-196

2010

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Cerebral vasomotor reactivity testing in head injury: the link between pressure and flow

Journal of neurology, neurosurgery and psychiatry, 2003-08, Vol.74 (8), p.1053-1059

2003

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Hard C-means clustering for voice activity detection

Speech communication, 2006-12, Vol.48 (12), p.1638-1649

2006

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An optimal-score-based filter pruning for deep convolutional neural networks

Applied intelligence (Dordrecht, Netherlands), 2022-12, Vol.52 (15), p.17557-17579

2022

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EMDLAB: A toolbox for analysis of single-trial EEG dynamics using empirical mode decomposition

Journal of neuroscience methods, 2015-09, Vol.253, p.193-205

2015

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Improved likelihood ratio test based voice activity detector applied to speech recognition

Speech communication, 2010-07, Vol.52 (7), p.664-677

2010

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Forecasting brain activity based on models of spatiotemporal brain dynamics: A comparison of graph neural network architectures

Network neuroscience (Cambridge, Mass.), 2022-07, Vol.6 (3), p.665-701

2022

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Technical Note: A comparison of point set registration methods for electromagnetic tracking

Medical physics (Lancaster), 2019-05, Vol.46 (5), p.2025-2030

2019

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Factors affecting accuracy of S values and determination of time-integrated activity in clinical Lu-177 dosimetry

Annals of nuclear medicine, 2019-07, Vol.33 (7), p.521-531

2019

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A multi-variate blind source separation algorithm

Computer methods and programs in biomedicine, 2017-11, Vol.151, p.91-99

2017

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On the use of multi-dimensional scaling and electromagnetic tracking in high dose rate brachytherapy

Physics in medicine & biology, 2017-10, Vol.62 (20), p.7959-7980

2017

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On the use of particle filters for electromagnetic tracking in high dose rate brachytherapy

Physics in medicine & biology, 2017-09, Vol.62 (19), p.7617-7640

2017

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Comparing ensemble methods combined with different aggregating models using micrograph cell segmentation as an initial application example

Journal of pathology informatics, 2023-01, Vol.14, p.100304-100304, Article 100304

2023

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Three-dimensional Monte Carlo-based voxel-wise tumor dosimetry in patients with neuroendocrine tumors who underwent 177Lu-DOTATOC therapy

Annals of nuclear medicine, 2020-04, Vol.34 (4), p.244-253

2020

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A combined cICA-EEMD analysis of EEG recordings from depressed or schizophrenic patients during olfactory stimulation

Journal of neural engineering, 2017-02, Vol.14 (1), p.016011-016011

2017

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Number of necessary training examples for Neural Networks with different number of trainable parameters

Journal of pathology informatics, 2022-01, Vol.13, p.100114-100114, Article 100114

2022

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A graph neural network framework for causal inference in brain networks

A tool to automatically analyze electromagnetic tracking data from high dose rate brachytherapy of breast cancer patients

Brain Connectivity Analysis: A Short Survey

An Optimal Approach for Selecting Discriminant Regions for the Diagnosis of Alzheimer's Disease

A deep learning approach to radiation dose estimation

Continuous monitoring of cerebrovascular autoregulation: a validation study

Automatic selection of ROIs in functional imaging using Gaussian mixture models

A new Bayesian approach to nonnegative matrix factorization: Uniqueness and model order selection

Knowledge-based gene expression classification via matrix factorization

Analysis of SPECT brain images for the diagnosis of Alzheimer's disease based on NMF for feature extraction

Cerebral vasomotor reactivity testing in head injury: the link between pressure and flow

Hard C-means clustering for voice activity detection

An optimal-score-based filter pruning for deep convolutional neural networks

EMDLAB: A toolbox for analysis of single-trial EEG dynamics using empirical mode decomposition

Improved likelihood ratio test based voice activity detector applied to speech recognition

Forecasting brain activity based on models of spatiotemporal brain dynamics: A comparison of graph neural network architectures

Technical Note: A comparison of point set registration methods for electromagnetic tracking

Factors affecting accuracy of S values and determination of time-integrated activity in clinical Lu-177 dosimetry

A multi-variate blind source separation algorithm

On the use of multi-dimensional scaling and electromagnetic tracking in high dose rate brachytherapy

On the use of particle filters for electromagnetic tracking in high dose rate brachytherapy

Comparing ensemble methods combined with different aggregating models using micrograph cell segmentation as an initial application example

Three-dimensional Monte Carlo-based voxel-wise tumor dosimetry in patients with neuroendocrine tumors who underwent 177Lu-DOTATOC therapy

A combined cICA-EEMD analysis of EEG recordings from depressed or schizophrenic patients during olfactory stimulation

Number of necessary training examples for Neural Networks with different number of trainable parameters

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