Editorial: Advances in neuroimaging and its applications on biomedical devices

Editorial: Advances in neuroimaging and its applications on biomedical devices

Bibliographic Details
Main Author:	Chen Li
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-02-01
Series:	Frontiers in Human Neuroscience
Subjects:	brain imaging data analysis preclinical application computer-assisted diagnosis machine learning
Online Access:	https://www.frontiersin.org/articles/10.3389/fnhum.2024.1374203/full

Similar Items

Neuroimaging Modalities in Alzheimer’s Disease: Diagnosis and Clinical Features
by: JunHyun Kim, et al.
Published: (2022-05-01)

Review of Development and Recent Advances in Biomedical X-ray Fluorescence Imaging
by: Theresa Staufer, et al.
Published: (2023-07-01)

Editorial: Advanced Neuroimaging Methods in Brain Disorders
by: Jurong Ding, et al.
Published: (2022-04-01)

Editorial: Advanced neuroimaging methods in brain disorders, volume II
by: Jurong Ding, et al.
Published: (2023-08-01)

Editorial: Advanced deep learning approaches for medical neuroimaging data with limitation
by: Zhiri Tang, et al.
Published: (2023-08-01)

Biomedical Image Segmentation : Advances and Trends /
by: El-Baz, Ayman S, editor, et al.
Published: (2017)

Web-Based Application for Biomedical Image Registry, Analysis, and Translation (BiRAT)
by: Rahul Pemmaraju, et al.
Published: (2022-05-01)

Editorial: Innovative applications with artificial intelligence methods in neuroimaging data analysis
by: Feng Liu, et al.
Published: (2022-12-01)

Editorial: Advances in neuroimaging of epilepsy
by: Emanuele Bartolini, et al.
Published: (2023-02-01)

Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs
by: Michael G. Endres, et al.
Published: (2020-06-01)

Editorial: Advanced Neuroimaging of Brain Metastases
by: Behroze A. Vachha, et al.
Published: (2021-03-01)

Editorial: Multi-modal learning and its application for biomedical data
by: Jin Liu, et al.
Published: (2024-01-01)

Deep Learning in the Biomedical Applications: Recent and Future Status
by: Ryad Zemouri, et al.
Published: (2019-04-01)

Editorial: Machine Learning for Quantitative Neuroimaging Analysis
by: Yuankai Huo, et al.
Published: (2022-05-01)

Editorial: Computational modeling methods for naturalistic neuroimaging data
by: Yudan Ren, et al.
Published: (2023-01-01)

Editorial: Advances in the Integration of Brain-Machine Interfaces and Robotic Devices
by: Luca Tonin, et al.
Published: (2021-03-01)

Editorial: Recent Developments of Deep Learning in Analyzing, Decoding, and Understanding Neuroimaging Signals
by: Junhua Li, et al.
Published: (2021-05-01)

The Advances and Biomedical Applications of Imageable Nanomaterials
by: Xiaohong Xiang, et al.
Published: (2022-07-01)

Dual-modal photoacoustic and ultrasound imaging: from preclinical to clinical applications
by: Nikhila Nyayapathi, et al.
Published: (2024-02-01)

Machine Learning Smart System for Parkinson Disease Classification Using the Voice as a Biomarker
by: Ilias Tougui, et al.
Published: (2022-07-01)

Advancing brain network models to reconcile functional neuroimaging and clinical research
by: Xenia Kobeleva, et al.
Published: (2022-01-01)

Automated Spleen Injury Detection Using 3D Active Contours and Machine Learning
by: Julie Wang, et al.
Published: (2021-03-01)

Multimodal neuroimaging-informed clinical applications in neuropsychiatric disorders
by: Rafael eO'Halloran, et al.
Published: (2016-04-01)

Editorial: Artificial Intelligence for Medical Image Analysis of Neuroimaging Data
by: Nianyin Zeng, et al.
Published: (2020-05-01)

Editorial: Construction of smart materials for biomedical application
by: Fei Chen, et al.
Published: (2023-08-01)

Preclinical and Clinical Applications of Metabolomics and Proteomics in Glioblastoma Research
by: Munazza Ahmed, et al.
Published: (2022-12-01)

Application of machine learning: a recent advancement in plant diseases detection
by: Siddhartha Das, et al.
Published: (2022-06-01)

Analysis of computer-aided diagnostics in the preoperative diagnosis of ovarian cancer: a systematic review
by: Anna H. Koch, et al.
Published: (2023-02-01)

Development of Machine Learning for Asthmatic and Healthy Voluntary Cough Sounds: A Proof of Concept Study
by: Hwan Ing Hee, et al.
Published: (2019-07-01)

AI-enabled organoids: Construction, analysis, and application
by: Long Bai, et al.
Published: (2024-01-01)

Editorial: Explainable and advanced intelligent processing in the brain-machine interaction
by: Xiaofeng Xie, et al.
Published: (2023-09-01)

Recent Advances in Microswimmers for Biomedical Applications
by: Ada-Ioana Bunea, et al.
Published: (2020-11-01)

Editorial: AI in Biological and Biomedical Imaging
by: Xin Gao, et al.
Published: (2021-11-01)

BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning
by: Jiejie Zhou, et al.
Published: (2021-11-01)

Artificial Intelligence in Biomedical Applications of Zirconia
by: Feng Luo, et al.
Published: (2021-08-01)

Editorial: Machine Learning Used in Biomedical Computing and Intelligence Healthcare, Volume II
by: Honghao Gao, et al.
Published: (2022-05-01)

Intelligent assistant diagnosis for pediatric inguinal hernia based on a multilayer and unbalanced classification model
by: Zhi-Wen Liu, et al.
Published: (2023-03-01)

Generative Adversarial Networks and Its Applications in Biomedical Informatics
by: Lan Lan, et al.
Published: (2020-05-01)

Detection of Lung Nodules in Micro-CT Imaging Using Deep Learning
by: Matthew D. Holbrook, et al.
Published: (2021-08-01)

Graph-based clinical diagnosis and prediction using multi-modal neuroimaging data
by: Arno Klein, et al.
Published: (2016-04-01)