Original Research

Accepted on 26 Jul 2024

Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional

Hongxian Gu
Yuting Yan
Xiaodong He
Yuyun Xu
Yuguo Wei
Yuan Shao

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1400702

Editorial

Accepted on 25 Jul 2024

Editorial: Neuromodulation Using Spatiotemporally Complex Patterns

Peter A. Tass
Hemant Bokil

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1454834

Technology and Code

Published on 22 Jul 2024

Neuroimaging article reexecution and reproduction assessment system

Horea-Ioan Ioanas
Austin Macdonald
Yaroslav O. Halchenko

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1376022

261 views

Technology and Code

Accepted on 19 Jul 2024

Customizable automated cleaning of multichannel sleep EEG in SleepTrip

Roy Cox
Frederik D. Weber
E JW Van Someren

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1415512

Original Research

Accepted on 15 Jul 2024

LYNSU: Automated 3D neuropil segmentation of fluorescent images for Drosophila brains

Kai-Yi Hsu
Chi-Tin Shih
Nan-Yow Chen
Chung-Chuan Lo

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1429670

Methods

Published on 12 Jul 2024

Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals

Anass B. El-Yaagoubi
Moo K. Chung
Hernando Ombao

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1387400

386 views

Correction

Accepted on 11 Jul 2024

Corrigendum: [Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism]

Marvin Kaster
Fabian Czappa
Markus Butz-Ostendorf
Felix Wolf

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1461597

Original Research

Accepted on 09 Jul 2024

M 3 : Using Mask-attention and Multi-scale for Multi-modal Brain MRI Classification

Dawei Qin
Guanqing Kong
Chuanfu Wu
Zongqiu Zhang
Chuansheng Yin

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1403732

Editorial

Published on 08 Jul 2024

Editorial: Innovative methods for sleep staging using neuroinformatics

Antonio Fernández-Caballero
Michel Le Van Quyen

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1448591

278 views

Original Research

Published on 28 Jun 2024

Explainable deep-learning framework: decoding brain states and prediction of individual performance in false-belief task at early childhood stage

Km Bhavna
Azman Akhter
Romi Banerjee
Dipanjan Roy

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1392661

679 views

Methods

Accepted on 25 Jun 2024

Exploring white matter dynamics and morphology through interactive numerical phantoms: The White Matter Generator

Sidsel Winther
Oscar Peulicke
Mariam Andersson
Hans Martin Kjer
Jakob Andreas Bærentzen
Tim Bjørn Dyrby

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1354708

Original Research

Published on 18 Jun 2024

Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning

S. M. Shayez Karim
Md Shah Fahad
R. S. Rathore

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1384720

2,873 views

Original Research

Published on 18 Jun 2024

Enhancing brain tumor detection in MRI with a rotation invariant Vision Transformer

Palani Thanaraj Krishnan
Pradeep Krishnadoss
Mukund Khandelwal
Devansh Gupta
Anupoju Nihaal
T. Sunil Kumar

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1414925

1,015 views

Original Research

Published on 12 Jun 2024

Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps

Marta Gaviraghi
Antonio Ricciardi
Fulvia Palesi
Wallace Brownlee
Paolo Vitali
Ferran Prados
Baris Kanber
Claudia A. M. Gandini Wheeler-Kingshott

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1415085

711 views

Original Research

Published on 23 May 2024

Events in context—The HED framework for the study of brain, experience and behavior

Scott Makeig
Kay Robbins

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1292667

671 views

Original Research

Published on 17 May 2024

Harmonizing data on correlates of sleep in children within and across neurodevelopmental disorders: lessons learned from an Ontario Brain Institute cross-program collaboration

Patrick G. McPhee
Anthony L. Vaccarino
Sibel Naska
Kirk Nylen
Jose Arturo Santisteban
Rachel Chepesiuk
Andrea Andrade
Stelios Georgiades
Brendan Behan
Alana Iaboni

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1385526

828 views

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Volumes

Volume 18 - 2024

Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional

Editorial: Neuromodulation Using Spatiotemporally Complex Patterns

Neuroimaging article reexecution and reproduction assessment system

Customizable automated cleaning of multichannel sleep EEG in SleepTrip

LYNSU: Automated 3D neuropil segmentation of fluorescent images for Drosophila brains

Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals

Corrigendum: [Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism]

M 3 : Using Mask-attention and Multi-scale for Multi-modal Brain MRI Classification

Editorial: Innovative methods for sleep staging using neuroinformatics

Explainable deep-learning framework: decoding brain states and prediction of individual performance in false-belief task at early childhood stage

Exploring white matter dynamics and morphology through interactive numerical phantoms: The White Matter Generator

Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning

Enhancing brain tumor detection in MRI with a rotation invariant Vision Transformer

Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps

Events in context—The HED framework for the study of brain, experience and behavior

Harmonizing data on correlates of sleep in children within and across neurodevelopmental disorders: lessons learned from an Ontario Brain Institute cross-program collaboration