Original Research

Published on 01 Dec 2021

Comparing the Performance of Two Radiomic Models to Predict Progression and Progression Speed of White Matter Hyperintensities

Yuan Shao
Jingru Ruan
Yuyun Xu
Zhenyu Shu
Xiaodong He

Frontiers in Neuroinformatics

doi 10.3389/fninf.2021.789295

3,215 views
1 citation

Original Research

Published on 25 Nov 2021

Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models

Afshin Shoeibi
Delaram Sadeghi
Parisa Moridian
Navid Ghassemi
Jónathan Heras
Roohallah Alizadehsani
Ali Khadem
Yinan Kong
Saeid Nahavandi
Yu-Dong Zhang

Frontiers in Neuroinformatics

doi 10.3389/fninf.2021.777977

23,165 views
129 citations

Original Research

Published on 24 Nov 2021

Multimodal Ensemble Deep Learning to Predict Disruptive Behavior Disorders in Children

Sreevalsan S. Menon
K. Krishnamurthy

Frontiers in Neuroinformatics

doi 10.3389/fninf.2021.742807

7,414 views
13 citations

Original Research

Published on 19 Nov 2021

Comparison of Resampling Techniques for Imbalanced Datasets in Machine Learning: Application to Epileptogenic Zone Localization From Interictal Intracranial EEG Recordings in Patients With Focal Epilepsy

Giulia Varotto
Gianluca Susi
Laura Tassi
Francesca Gozzo
Silvana Franceschetti
Ferruccio Panzica

Frontiers in Neuroinformatics

doi 10.3389/fninf.2021.715421

8,816 views
21 citations

Brief Research Report

Published on 19 Nov 2021

Modeling Neurodegeneration in silico With Deep Learning

Anup Tuladhar
Jasmine A. Moore
Zahinoor Ismail
Nils D. Forkert

Frontiers in Neuroinformatics

doi 10.3389/fninf.2021.748370

9,635 views
6 citations

Original Research

Published on 17 Nov 2021

Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach

Shuai Liang
Derek Beaton
Stephen R. Arnott
Tom Gee
Mojdeh Zamyadi
Robert Bartha
Sean Symons
Glenda M. MacQueen
Stefanie Hassel
Jason P. Lerch

Frontiers in Neuroinformatics

doi 10.3389/fninf.2021.622951

7,459 views
10 citations

Technology and Code

Published on 01 Nov 2021

PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks

Marius Vieth
Tristan M. Stöber
Jochen Triesch

Frontiers in Neuroinformatics

doi 10.3389/fninf.2021.715131

6,610 views
2 citations

Editorial

Published on 29 Oct 2021

Editorial: Bio-Inspired Physiological Signal(s) and Medical Image(s) Neural Processing Systems Based on Deep Learning and Mathematical Modeling for Implementing Bio-Engineering Applications in Medical and Industrial Fields

Francesco Rundo
Giuseppe Luigi Banna
Concetto Spampinato
Sabrina Conoci

Frontiers in Neuroinformatics

doi 10.3389/fninf.2021.763699

4,015 views

Original Research

Published on 22 Oct 2021

Influence of the Number of Channels and Classification Algorithm on the Performance Robustness to Electrode Shift in Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces

Hodam Kim
Chang-Hwan Im

Frontiers in Neuroinformatics

doi 10.3389/fninf.2021.750839

6,620 views
5 citations

Original Research

Published on 20 Oct 2021

Classification of Obsessive-Compulsive Disorder Using Distance Correlation on Resting-State Functional MRI Images

Qian Luo
Weixiang Liu
Lili Jin
Chunqi Chang
Ziwen Peng

Frontiers in Neuroinformatics

doi 10.3389/fninf.2021.676491

6,114 views
5 citations

Original Research

Published on 06 Oct 2021

Non-parametric MRI Brain Atlas for the Polish Population

Damian Borys
Marek Kijonka
Krzysztof Psiuk-Maksymowicz
Kamil Gorczewski
Lukasz Zarudzki
Maria Sokol
Andrzej Swierniak

Frontiers in Neuroinformatics

doi 10.3389/fninf.2021.684759

7,868 views
4 citations

Technology and Code

Published on 22 Sep 2021

THINGSvision: A Python Toolbox for Streamlining the Extraction of Activations From Deep Neural Networks

Lukas Muttenthaler
Martin N. Hebart

Frontiers in Neuroinformatics

doi 10.3389/fninf.2021.679838

14,295 views
30 citations

Technology and Code

Published on 16 Sep 2021

Acceleration of the SPADE Method Using a Custom-Tailored FP-Growth Implementation

Florian Porrmann
Sarah Pilz
Alessandra Stella
Alexander Kleinjohann
Michael Denker
Jens Hagemeyer
Ulrich Rückert

Frontiers in Neuroinformatics

doi 10.3389/fninf.2021.723406

10,760 views
4 citations

Original Research

Published on 02 Sep 2021

Estimation of Emotional Arousal Changes of a Group of Individuals During Movie Screening Using Steady-State Visual-Evoked Potential

Seonghun Park
Do-Won Kim
Chang-Hee Han
Chang-Hwan Im

Frontiers in Neuroinformatics

doi 10.3389/fninf.2021.731236

11,466 views
4 citations

Original Research

Published on 01 Sep 2021

Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism

Isaac Goicovich
Paulo Olivares
Claudio Román
Andrea Vázquez
Cyril Poupon
Jean-François Mangin
Pamela Guevara
Cecilia Hernández

Frontiers in Neuroinformatics

doi 10.3389/fninf.2021.727859

11,560 views
8 citations

Original Research

Published on 01 Sep 2021

Medical Image Interpolation Using Recurrent Type-2 Fuzzy Neural Network

Jafar Tavoosi
Chunwei Zhang
Ardashir Mohammadzadeh
Saleh Mobayen
Amir H. Mosavi

Frontiers in Neuroinformatics

doi 10.3389/fninf.2021.667375

13,062 views
26 citations

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Articles

Comparing the Performance of Two Radiomic Models to Predict Progression and Progression Speed of White Matter Hyperintensities

Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models

Multimodal Ensemble Deep Learning to Predict Disruptive Behavior Disorders in Children

Comparison of Resampling Techniques for Imbalanced Datasets in Machine Learning: Application to Epileptogenic Zone Localization From Interictal Intracranial EEG Recordings in Patients With Focal Epilepsy

Modeling Neurodegeneration in silico With Deep Learning

Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach

PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks

Editorial: Bio-Inspired Physiological Signal(s) and Medical Image(s) Neural Processing Systems Based on Deep Learning and Mathematical Modeling for Implementing Bio-Engineering Applications in Medical and Industrial Fields

Influence of the Number of Channels and Classification Algorithm on the Performance Robustness to Electrode Shift in Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces

Classification of Obsessive-Compulsive Disorder Using Distance Correlation on Resting-State Functional MRI Images

Non-parametric MRI Brain Atlas for the Polish Population

THINGSvision: A Python Toolbox for Streamlining the Extraction of Activations From Deep Neural Networks

Acceleration of the SPADE Method Using a Custom-Tailored FP-Growth Implementation

Estimation of Emotional Arousal Changes of a Group of Individuals During Movie Screening Using Steady-State Visual-Evoked Potential

Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism

Medical Image Interpolation Using Recurrent Type-2 Fuzzy Neural Network