Original Research

Published on 12 Jan 2023

A method for reconstruction of interpretable brain networks from transient synchronization in resting-state BOLD fluctuations

Yusuke Noro
Ruixiang Li
Teppei Matsui
Koji Jimura

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.960607

4,974 views
3 citations

Original Research

Published on 11 Jan 2023

Predicting in vitro single-neuron firing rates upon pharmacological perturbation using Graph Neural Networks

Taehoon Kim
Dexiong Chen
Philipp Hornauer
Vishalini Emmenegger
Julian Bartram
Silvia Ronchi
Andreas Hierlemann
Manuel Schröter
Damian Roqueiro

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.1032538

8,085 views
3 citations

Original Research

Published on 10 Jan 2023

An RBF neural network based on improved black widow optimization algorithm for classification and regression problems

Hui Liu
Guo Zhou
Yongquan Zhou
Huajuan Huang
Xiuxi Wei

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.1103295

5,347 views
10 citations

Original Research

Published on 20 Dec 2022

Functional MRI study of feedback-based reinforcement learning in depression

Almira M. Kustubayeva
Erik B. Nelson
Michael L. Smith
Jane B. Allendorfer
James C. Eliassen

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.1028121

3,856 views
4 citations

Original Research

Published on 19 Dec 2022

A hybrid unsupervised and supervised learning approach for postictal generalized EEG suppression detection

Xiaojin Li
Yan Huang
Samden D. Lhatoo
Shiqiang Tao
Laura Vilella Bertran
Guo-Qiang Zhang
Licong Cui

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.1040084

4,129 views
1 citation

Original Research

Published on 19 Dec 2022

Tuberculous pleural effusion prediction using ant colony optimizer with grade-based search assisted support vector machine

Chengye Li
Lingxian Hou
Jingye Pan
Huiling Chen
Xueding Cai
Guoxi Liang

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.1078685

4,435 views
6 citations

Original Research

Published on 16 Dec 2022

Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques

Hang Su
Zhengyuan Han
Yujie Fu
Dong Zhao
Fanhua Yu
Ali Asghar Heidari
Yu Zhang
Yeqi Shou
Peiliang Wu
Huiling Chen

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.1029690

5,746 views
6 citations

Original Research

Published on 16 Dec 2022

A deep learning framework for classifying microglia activation state using morphology and intrinsic fluorescence lifetime data

Lopamudra Mukherjee
Md Abdul Kader Sagar
Jonathan N. Ouellette
Jyoti J. Watters
Kevin W. Eliceiri

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.1040008

6,521 views
4 citations

Original Research

Published on 16 Dec 2022

A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China

Hang Su
Yeqi Shou
Yujie Fu
Dong Zhao
Ali Asghar Heidari
Zhengyuan Han
Peiliang Wu
Huiling Chen
Yanfan Chen

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.1052868

5,375 views
1 citation

Original Research

Published on 13 Dec 2022

Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex

Rabeea Siddique
Faryal Mehwish Awan
Ghulam Nabi
Suliman Khan
Mengzhou Xue

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.1031448

5,470 views
6 citations

Original Research

Published on 09 Dec 2022

Multi illumination color constancy based on multi-scale supervision and single-scale estimation cascade convolution neural network

Fei Wang
Wei Wang
Dan Wu
Guowang Gao
Zetian Wang

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.953235

3,886 views
3 citations

Original Research

Published on 07 Dec 2022

Neural network system for analyzing statistical factors of patients for predicting the survival of dental implants

Pavel Alekseevich Lyakhov
Alexander Alexandrovich Dolgalev
Ulyana Alekseevna Lyakhova
Alexandr Alexandrovich Muraev
Kirill Evgenievich Zolotayev
Dmitry Yurievich Semerikov

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.1067040

6,417 views
11 citations

Review

Published on 22 Nov 2022

Review of Generative Adversarial Networks in mono- and cross-modal biomedical image registration

Tingting Han
Jun Wu
Wenting Luo
Huiming Wang
Zhe Jin
Lei Qu

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.933230

5,102 views
5 citations

Original Research

Published on 18 Nov 2022

Alteration of brain nuclei in obese children with and without Prader-Willi syndrome

Ning Wu
Huan Yu
Mingze Xu

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.1032636

5,663 views
3 citations

Original Research

Published on 16 Nov 2022

Toward learning robust contrastive embeddings for binaural sound source localization

Duowei Tang
Maja Taseska
Toon van Waterschoot

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.942978

4,750 views

Review

Published on 15 Nov 2022

A review of risk concepts and models for predicting the risk of primary stroke

Elizabeth Hunter
John D. Kelleher

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.883762

8,866 views
3 citations

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Articles

A method for reconstruction of interpretable brain networks from transient synchronization in resting-state BOLD fluctuations

Predicting in vitro single-neuron firing rates upon pharmacological perturbation using Graph Neural Networks

An RBF neural network based on improved black widow optimization algorithm for classification and regression problems

Functional MRI study of feedback-based reinforcement learning in depression

A hybrid unsupervised and supervised learning approach for postictal generalized EEG suppression detection

Tuberculous pleural effusion prediction using ant colony optimizer with grade-based search assisted support vector machine

Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques

A deep learning framework for classifying microglia activation state using morphology and intrinsic fluorescence lifetime data

A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China

Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex

Multi illumination color constancy based on multi-scale supervision and single-scale estimation cascade convolution neural network

Neural network system for analyzing statistical factors of patients for predicting the survival of dental implants

Review of Generative Adversarial Networks in mono- and cross-modal biomedical image registration

Alteration of brain nuclei in obese children with and without Prader-Willi syndrome

Toward learning robust contrastive embeddings for binaural sound source localization

A review of risk concepts and models for predicting the risk of primary stroke