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Neuroinformatics

Issue 1/2025

Content (12 Articles)

A Self-supervised Deep Learning Model for Diagonal Sulcus Detection with Limited Labeled Data

  • Research

Delfina Braggio, Hernán C. Külsgaard, Mariana Vallejo-Azar, Mariana Bendersky, Paula González, Lucía Alba-Ferrara, José Ignacio Orlando, Ignacio Larrabide

Performance of Convolutional Neural Network Models in Meningioma Segmentation in Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis

Ting-Wei Wang, Jia-Sheng Hong, Wei-Kai Lee, Yi-Hui Lin, Huai-Che Yang, Cheng-Chia Lee, Hung-Chieh Chen, Hsiu-Mei Wu, Weir Chiang You, Yu-Te Wu

Simulation Study of Envelope Wave Electrical Nerve Stimulation Based on a Real Head Model

Yuhao Liu, Renling Zou, Liang Zhao, Linpeng Jin, Xiufang Hu, Xuezhi Yin

NeuroCarto: A Toolkit for Building Custom Read-out Channel Maps for High Electrode-count Neural Probes

  • Open Access
  • Research

Ta-Shun Su, Fabian Kloosterman

Stimulation Effects Mapping for Optimizing Coil Placement for Transcranial Magnetic Stimulation

Gangliang Zhong, Fang Jin, Liang Ma, Yongfeng Yang, Baogui Zhang, Dan Cao, Jin Li, Nianming Zuo, Lingzhong Fan, Zhengyi Yang, Tianzi Jiang

Automated Lesion and Feature Extraction Pipeline for Brain MRIs with Interpretability

Reza Eghbali, Pierre Nedelec, David Weiss, Radhika Bhalerao, Long Xie, Jeffrey D. Rudie, Chunlei Liu, Leo P. Sugrue, Andreas M. Rauschecker

Computational Generation of Long-range Axonal Morphologies

  • Open Access
  • Research

Adrien Berchet, Remy Petkantchin, Henry Markram, Lida Kanari

“The Brain is…”: A Survey of the Brain’s Many Definitions

  • Open Access
  • Research

Taylor Bolt, Lucina Q. Uddin

Large Scale in vivo Acquisition, Segmentation and 3D Reconstruction of Cortical Vasculature using Doppler Ultrasound Imaging

Anoek Strumane, Théo Lambert, Jan Aelterman, Danilo Babin, Gabriel Montaldo, Wilfried Philips, Clément Brunner, Alan Urban

Classification Prediction of Hydrocephalus After Intercerebral Haemorrhage Based on Machine Learning Approach

Enwen Zhu, Zhuojun Zou, Jianxian Li, Jipan Chen, Ao Chen, Naifei Zhao, Qiang Yuan, Caicai Liu, Xin Tang

Twenty Years of Neuroinformatics: A Bibliometric Analysis

  • Open Access
  • Review

Miguel Guillén-Pujadas, David Alaminos, Emilio Vizuete-Luciano, José M. Merigó, John D. Van Horn

Patch-Wise Deep Learning Method for Intracranial Stenosis and Aneurysm Detection-the Tromsø Study

Luca Bernecker, Ellisiv B. Mathiesen, Tor Ingebrigtsen, Jørgen Isaksen, Liv-Hege Johnsen, Torgil Riise Vangberg

Oct 24
Issue: 4/2024
Special Issue on Data Science Methods and Neuroinformatics Applications / Special Issue on Neuroinformatics and Analysis of Traumatic Brain Injury and Related Conditions / Special Issue on Bridging the Gap: How Neuroinformatics is Preparing the Next Generation of Neuroscience Researchers
Apr 25
Issue: 2/2025

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Keynote webinar | Spotlight on functional neurological disorder

FND perplexes and frustrates patients and physicians alike. Limited knowledge and insufficient awareness delays diagnosis and treatment, and many patients feel misunderstood and stigmatized. How can you recognize FND and what are the treatment options?

Prof. Mark Edwards
Watch now
Video

How can you integrate PET into your practice? (Link opens in a new window)

1.5 AMA PRA Category 1 Credit(s)™

PET imaging is playing an increasingly critical role in managing AD. Our expert-led program will empower you with practical strategies and real-world case studies to effectively integrate it into clinical practice.

This content is intended for healthcare professionals outside of the UK.

Supported by:
  • Lilly
Developed by: Springer Health+ IME
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Image Credits
Human brain illustration/© (M) CHRISTOPH BURGSTEDT / SCIENCE PHOTO LIBRARY / Getty Images, Navigating neuroimaging in Alzheimer’s care: Practical applications and strategies for integration/© Springer Health+ IME