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ORCIDNeuroinformatics, Volume 23
Volume 23, Number 1, January 2025
- Delfina Braggio, Hernán C. Külsgaard, Mariana Vallejo-Azar, Mariana Bendersky, Paula González, Lucía Alba-Ferrara, José Ignacio Orlando, Ignacio Larrabide:
A Self-supervised Deep Learning Model for Diagonal Sulcus Detection with Limited Labeled Data. 1-17 - 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:
Performance of Convolutional Neural Network Models in Meningioma Segmentation in Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis. 1-12 - Ta-Shun Su, Fabian Kloosterman:
NeuroCarto: A Toolkit for Building Custom Read-out Channel Maps for High Electrode-count Neural Probes. 1-16 - Yuhao Liu, Renling Zou, Liang Zhao, Linpeng Jin, Xiufang Hu, Xuezhi Yin:
Simulation Study of Envelope Wave Electrical Nerve Stimulation Based on a Real Head Model. 1-13 - Gangliang Zhong, Fang Jin, Liang Ma, Yongfeng Yang, Baogui Zhang, Dan Cao, Jin Li, Nianming Zuo, Lingzhong Fan, Zhengyi Yang, Tianzi Jiang:
Stimulation Effects Mapping for Optimizing Coil Placement for Transcranial Magnetic Stimulation. 1 - Reza Eghbali
, Pierre Nedelec, David A. Weiss, Radhika Bhalerao, Long Xie, Jeffrey D. Rudie, Chunlei Liu, Leo P. Sugrue, Andreas M. Rauschecker:
Automated Lesion and Feature Extraction Pipeline for Brain MRIs with Interpretability. 2 - Adrien Berchet, Rémy Petkantchin, Henry Markram, Lida Kanari:
Computational Generation of Long-range Axonal Morphologies. 3 - Taylor Bolt, Lucina Q. Uddin:
"The Brain is...": A Survey of the Brain's Many Definitions. 4 - Anoek Strumane, Théo Lambert, Jan Aelterman, Danilo Babin, Gabriel Montaldo, Wilfried Philips, Clément Brunner, Alan Urban:
Large Scale in vivo Acquisition, Segmentation and 3D Reconstruction of Cortical Vasculature using μDoppler Ultrasound Imaging. 5 - Enwen Zhu, Zhuojun Zou, Jianxian Li, Jipan Chen, Ao Chen, Naifei Zhao, Qiang Yuan, Caicai Liu, Xin Tang:
Classification Prediction of Hydrocephalus After Intercerebral Haemorrhage Based on Machine Learning Approach. 6 - Miguel Guillén-Pujadas, David Alaminos, Emili Vizuete Luciano, José M. Merigó, John D. Van Horn:
Twenty Years of Neuroinformatics: A Bibliometric Analysis. 7 - Luca Bernecker, Ellisiv B. Mathiesen, Tor Ingebrigtsen, Jørgen Isaksen, Liv-Hege Johnsen, Torgil Riise Vangberg:
Patch-Wise Deep Learning Method for Intracranial Stenosis and Aneurysm Detection-the Tromsø Study. 8
Volume 23, Number 2, April 2025
- Yogesh Kumar, Priya Bhardwaj, Supriya Shrivastav, Kapil Mehta:
Predicting Paediatric Brain Disorders from MRI Images Using Advanced Deep Learning Techniques. 9 - Aline Beatriz Mello Rodrigues, Fabio Passetti, Ana Carolina Ramos Guimarães:
Complementary Strategies to Identify Differentially Expressed Genes in the Choroid Plexus of Patients with Progressive Multiple Sclerosis. 10 - Stanley D. T. Pham, Cyrano Chatziantoniou, J. T. van Vliet, Rick J. van Tuijl, Marjolein Bulk, Mauro Costagli, Ludovic de Rochefort, Oliver Kraff, Mark E. Ladd, Kerrin Pine, Itamar Ronen, Jeroen C. W. Siero, Michela Tosetti, Arno Villringer, Geert Jan Biessels, Jaco J. M. Zwanenburg:
Blood Flow Velocity Analysis in Cerebral Perforating Arteries on 7T 2D Phase Contrast MRI with an Open-Source Software Tool (SELMA). 11 - K. Bhagyalaxmi, B. Dwarakanath:
CDCG-UNet: Chaotic Optimization Assisted Brain Tumor Segmentation Based on Dilated Channel Gate Attention U-Net Model. 12 - Natalia Filimonova, Maria Specovius-Neugebauer, Elfriede Friedmann:
Determination of the Time-frequency Features for Impulse Components in EEG Signals. 17 - Asif Mehmood, Ayesha Ilyas, Hajira Ilyas:
Cardiac Heterogeneity Prediction by Cardio-Neural Network Simulation. 18 - Zahra Rabiei, Hussain Montazery Kordy:
Generalized Coupled Matrix Tensor Factorization Method Based on Normalized Mutual Information for Simultaneous EEG-fMRI Data Analysis. 19 - Roberto Barumerli, Piotr Majdak:
FrAMBI: A Software Framework for Auditory Modeling Based on Bayesian Inference. 20 - Rahul Kumar, Ethan Waisberg, Joshua Ong, Phani Paladugu, Dylan Amiri, Ram Jagadeesan:
Overcoming Neuroanatomical Mapping and Computational Barriers in Human Brain Synaptic Architecture. 22 - Pantelis Antonoudiou, Trina Basu, Jamie Maguire:
SeizyML: An Application for Semi-Automated Seizure Detection Using Interpretable Machine Learning Models. 23 - Giusy Pizzirusso, Simon Sundström, Luis Enrique Arroyo-Garcia:
Efficient, Automatic, and Reproducible Patch Clamp Data Analysis with "Auto ANT", a User-Friendly Interface for Batch Analysis of Patch Clamp Recordings. 24 - Hasita V. Nalluri, Shantelle A. Graff, Dragan Maric, John D. Heiss:
Optimizing Colocalized Cell Counting Using Automated and Semiautomated Methods. 25 - Nicholas J. Kim, Nahian F. Chowdhury, Kenneth H. Buetow, Paul M. Thompson, Andrei Irimia:
Genetic Insights into Brain Morphology: a Genome-Wide Association Study of Cortical Thickness and T1-Weighted MRI Gray Matter-White Matter Intensity Contrast. 26 - Jong-eun Lee, Kyoungseob Byeon, Sunghun Kim, Bo-yong Park, Hyunjin Park:
Revealing the Multivariate Associations Between Autistic Traits and Principal Functional Connectome. 27
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