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Publication search results
found 216 matches
- 2024
- Muhammad Atta Othman Ahmed, Yasser AbdelSatar, Eed M. Darwish, Elnomery Allam Zanaty:
Synergistic integration of Multi-View Brain Networks and advanced machine learning techniques for auditory disorders diagnostics. Brain Informatics 11(1): 3 (2024) - Ilaria Gigi, Rosa Senatore, Angelo Marcelli:
The onset of motor learning impairments in Parkinson's disease: a computational investigation. Brain Informatics 11(1): 4 (2024) - Jamie L. Hanson, Dorthea J. Adkins, Eva Bacas, Peiran Zhou:
Examining the reliability of brain age algorithms under varying degrees of participant motion. Brain Informatics 11(1): 9 (2024) - Changhong Jing, Hongzhi Kuai, Hiroki Matsumoto, Tomoharu Yamaguchi, Iman Yi Liao, Shuqiang Wang:
Addiction-related brain networks identification via Graph Diffusion Reconstruction Network. Brain Informatics 11(1): 1 (2024) - Kaida Ning, Pascale B. Cannon, Jiawei Yu, Srinesh Shenoi, Lu Wang, Joydeep Sarkar:
3D convolutional neural networks uncover modality-specific brain-imaging predictors for Alzheimer's disease sub-scores. Brain Informatics 11(1): 5 (2024) - Pragati Patel, Sivarenjani Balasubramanian, Ramesh Naidu Annavarapu:
Cross subject emotion identification from multichannel EEG sub-bands using Tsallis entropy feature and KNN classifier. Brain Informatics 11(1): 7 (2024) - Wei Pei, Yan Li, Peng Wen, Fuwen Yang, Xiaopeng Ji:
An automatic method using MFCC features for sleep stage classification. Brain Informatics 11(1): 6 (2024) - Sara Saponaro, Francesca Lizzi, Giacomo Serra, Francesca Mainas, Piernicola Oliva, Alessia Giuliano, Sara Calderoni, Alessandra Retico:
Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders. Brain Informatics 11(1): 2 (2024) - Andrés Felipe Soler, Eduardo Giraldo, Marta Molinas:
EEG source imaging of hand movement-related areas: an evaluation of the reconstruction and classification accuracy with optimized channels. Brain Informatics 11(1): 11 (2024) - Viswan Vimbi, Noushath Shaffi, Mufti Mahmud:
Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection. Brain Informatics 11(1): 10 (2024) - Shihao Yang, Meng Jiao, Jing Xiang, Neel Fotedar, Hai Sun, Feng Liu:
Rejuvenating classical brain electrophysiology source localization methods with spatial graph Fourier filters for source extents estimation. Brain Informatics 11(1): 8 (2024) - 2023
- Sophie Adama, Martin Bogdan:
Assessing consciousness in patients with disorders of consciousness using soft-clustering. Brain Informatics 10(1): 16 (2023) - Akhilesh Deep Arya, Sourabh Singh Verma, Prasun Chakrabarti, Tulika Chakrabarti, Ahmed A. Elngar, Ali-Mohammad Kamali, Mohammad Nami:
A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer's disease. Brain Informatics 10(1): 17 (2023) - Priya Bhatt, Amanrose Sethi, Vaibhav Tasgaonkar, Jugal Shroff, Isha Pendharkar, Aditya Desai, Pratyush Sinha, Aditya Deshpande, Gargi Joshi, Anil Rahate, Priyanka Jain, Rahee Walambe, Ketan Kotecha, N. K. Jain:
Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions. Brain Informatics 10(1): 18 (2023) - Puskar Bhattarai, Ahmed Taha, Bhavin Soni, Deepa S. Thakuri, Erin Ritter, Ganesh B. Chand:
Predicting cognitive dysfunction and regional hubs using Braak staging amyloid-beta biomarkers and machine learning. Brain Informatics 10(1): 33 (2023) - Andrea Bianconi, Luca Francesco Rossi, Marta Bonada, Pietro Zeppa, Elsa Nico, Raffaele De Marco, Paola Lacroce, Fabio Cofano, Francesco Bruno, Giovanni Morana, Antonio Melcarne, Roberta Ruda, LuLuca T. Mainardi, Pietro Fiaschi, Diego Garbossa, Lia Morra:
Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment. Brain Informatics 10(1): 26 (2023) - Tianhua Chen:
Investigating the mental health of university students during the COVID-19 pandemic in a UK university: a machine learning approach using feature permutation importance. Brain Informatics 10(1): 27 (2023) - Jetli Chung, Jason Teo:
Single classifier vs. ensemble machine learning approaches for mental health prediction. Brain Informatics 10(1): 1 (2023) - Cécile Gauthier-Umaña, Mario Valderrama, Alejandro Múnera, Mauricio O. Nava-Mesa:
BOARD-FTD-PACC: a graphical user interface for the synaptic and cross-frequency analysis derived from neural signals. Brain Informatics 10(1): 12 (2023) - Christian Goelz, Eva-Maria Reuter, Stephanie Fröhlich, Julian Rudisch, Ben Godde, Solveig Vieluf, Claudia Voelcker-Rehage:
Classification of age groups and task conditions provides additional evidence for differences in electrophysiological correlates of inhibitory control across the lifespan. Brain Informatics 10(1): 11 (2023) - Changwei Gong, Xinyi Chen, Bushra Mughal, Shuqiang Wang:
Addictive brain-network identification by spatial attention recurrent network with feature selection. Brain Informatics 10(1): 2 (2023) - Abinaya Gopalakrishnan, Raj Gururajan, Revathi Venkataraman, Xujuan Zhou, Ka Ching Chan, Arul Saravanan, Maitrayee Sen:
Attribute Selection Hybrid Network Model for risk factors analysis of postpartum depression using Social media. Brain Informatics 10(1): 28 (2023) - Neha Gour, Taimur Hassan, Muhammad Owais, Iyyakutti Iyappan Ganapathi, Pritee Khanna, Mohamed L. Seghier, Naoufel Werghi:
Transformers for autonomous recognition of psychiatric dysfunction via raw and imbalanced EEG signals. Brain Informatics 10(1): 25 (2023) - Faizal Hajamohideen, Noushath Shaffi, Mufti Mahmud, Karthikeyan Subramanian, Arwa Al Sariri, Viswan Vimbi, Abdelhamid Abdesselam:
Four-way classification of Alzheimer's disease using deep Siamese convolutional neural network with triplet-loss function. Brain Informatics 10(1): 5 (2023) - Isabella Kahhale, Nicholas J. Buser, Christopher R. Madan, Jamie L. Hanson:
Quantifying numerical and spatial reliability of hippocampal and amygdala subdivisions in FreeSurfer. Brain Informatics 10(1): 9 (2023) - Loren Koçillari, Marco Celotto, Nikolas A. Francis, Shoutik Mukherjee, Behtash Babadi, Patrick O. Kanold, Stefano Panzeri:
Behavioural relevance of redundant and synergistic stimulus information between functionally connected neurons in mouse auditory cortex. Brain Informatics 10(1): 34 (2023) - Lena Kopnarski, Laura Lippert, Julian Rudisch, Claudia Voelcker-Rehage:
Predicting object properties based on movement kinematics. Brain Informatics 10(1): 29 (2023) - Siaw-Hong Liew, Yun-Huoy Choo, Yin Fen Low, Fadilla 'Atyka Nor Rashid:
Distraction descriptor for brainprint authentication modelling using probability-based Incremental Fuzzy-Rough Nearest Neighbour. Brain Informatics 10(1): 21 (2023) - Nalinda D. Liyanagedera, Ali Abdul Hussain, Amardeep Singh, Sunil Lal, Heather Kempton, Hans W. Guesgen:
Common spatial pattern for classification of loving kindness meditation EEG for single and multiple sessions. Brain Informatics 10(1): 24 (2023) - Jenish Maharjan, Anurag Garikipati, Frank A. Dinenno, Madalina G. Ciobanu, Gina Barnes, Ella Browning, Jenna DeCurzio, Qingqing Mao, Ritankar Das:
Machine learning determination of applied behavioral analysis treatment plan type. Brain Informatics 10(1): 7 (2023)
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