BI

Keyphrases

Publications

2023

Chia-Hao Shih, Methsarani Premathilaka, Hong Xie, Xin Wang, Rong Liu
Estimating Dynamic Posttraumatic Stress Symptom Trajectories with Functional Data Analysis. BI (2023)
Hongmin Cai, Xiaoke Huang, Zhengliang Liu, Wenxiong Liao, Haixing Dai, Zihao Wu, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, Xiang Li
Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript. BI (2023)
Guoli Huang, Xuhang Chen, Yanyan Shen, Shuqiang Wang
MR Image Super-Resolution Using Wavelet Diffusion for Predicting Alzheimer's Disease. BI (2023)
Noushath Shaffi, Viswan Vimbi, Mufti Mahmud, Karthikeyan Subramanian, Faizal Hajamohideen
Bagging the Best: A Hybrid SVM-KNN Ensemble for Accurate and Early Detection of Alzheimer's and Parkinson's Diseases. BI (2023)
Sultana Umme Habiba, Tanoy Debnath, Md. Khairul Islam, Lutfun Nahar, Mohammad Shahadat Hossain, Nanziba Basnin, Karl Andersson
Transfer Learning-Assisted DementiaNet: A Four Layer Deep CNN for Accurate Alzheimer's Disease Detection from MRI Images. BI (2023)
Juhyung Ha, Nian Wang, Surendra Maharjan, Xuhong Zhang
Super-Resolution MRH Reconstruction for Mouse Models. BI (2023)
Dor Mizrahi, Ilan Laufer, Inon Zuckerman
Modulation of Beta Power as a Function of Attachment Style and Feedback Valence. BI (2023)
Arihant Jain, Petri Toiviainen, Vinoo Alluri
Predicting Individual Differences from Brain Responses to Music: A Comparison of Functional Connectivity Measures. BI (2023)
Rene Lehmann, Bodo Vogt
Increasing the Power of Two-Sample T-tests in Health Psychology Using a Compositional Data Approach. BI (2023)
Arya Teymourlouei, Joshua Stone, Rodolphe J. Gentili, James A. Reggia
Multiplex Temporal Networks for Rapid Mental Workload Classification. BI (2023)
Changhong Jing, Changwei Gong, Zuxin Chen, Shuqiang Wang
Graph Diffusion Reconstruction Network for Addictive Brain-Networks Identification. BI (2023)
Gabriel Matías Lorenz, Pablo Martínez-Cañada, Stefano Panzeri
A Model of the Contribution of Interneuron Diversity to Recurrent Network Oscillation Generation and Information Coding. BI (2023)
Kenta Kitamura, Mhd Irvan, Rie Shigetomi Yamaguchi
Brain Intervention Therapy Dilemma: Functional Recovery versus Identity. BI (2023)
Kostas Georgiadis, Fotis P. Kalaganis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Nikolaos A. Laskaris, Ioannis Kompatsiaris
Harneshing the Potential of EEG in Neuromarketing with Deep Learning and Riemannian Geometry. BI (2023)
Qiankun Zuo, Yanfei Zhu, Libin Lu, Zhi Yang, Yuhui Li, Ning Zhang
Fusing Structural and Functional Connectivities Using Disentangled VAE for Detecting MCI. BI (2023)
Tanjim Mahmud, Koushick Barua, Anik Barua, Sudhakar Das, Nanziba Basnin, Mohammad Shahadat Hossain, Karl Andersson, M. Shamim Kaiser, Nahed Sharmen
Exploring Deep Transfer Learning Ensemble for Improved Diagnosis and Classification of Alzheimer's Disease. BI (2023)
Meng Jiao, Shihao Yang, Boyu Wang, Xiaochen Xian, Yevgeniy R. Semenov, Guihong Wan, Feng Liu
MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source Imaging. BI (2023)
Shihao Yang, Meng Jiao, Jing Xiang, Daphne Kalkanis, Hai Sun, Feng Liu
Rejuvenating Classical Source Localization Methods with Spatial Graph Filters. BI (2023)
Xueqing Liu, Paul Sajda
Unsupervised Sparse-View Backprojection via Convolutional and Spatial Transformer Networks. BI (2023)
Xueqing Liu, Paul Sajda
Latent Neural Source Recovery via Transcoding of Simultaneous EEG-fMRI. BI (2023)
Lorenzo Tausani, Alberto Testolin, Marco Zorzi
Investigating the Generative Dynamics of Energy-Based Neural Networks. BI (2023)
Maryam Khoshkhooy Titkanlou, Roman Moucek
Classification of Event-Related Potential Signals with a Variant of UNet Algorithm Using a Large P300 Dataset. BI (2023)
Partho Ghose, Milon Biswas, Loveleen Gaur
BrainSegNeT: A Lightweight Brain Tumor Segmentation Model Based on U-Net and Progressive Neuron Expansion. BI (2023)
Sukesh Das, Pratik Jain, Anil Kumar Sao, Bharat B. Biswal
Variability of Non-parametric HRF in Interconnectedness and Its Association in Deriving Resting State Network. BI (2023)
Zihan Zhang, Christina Schweikert, Shinsuke Shimojo, D. Frank Hsu
Improving Prediction Quality of Face Image Preference Using Combinatorial Fusion Algorithm. BI (2023)
Xueqing Liu, Paul Sajda
Fusing Simultaneously Acquired EEG and fMRI via Hierarchical Deep Transcoding. BI (2023)
Andrés Felipe Soler, Eduardo Giraldo, Marta Molinas
EEG Source Imaging of Hand Movement-Related Areas: An Evaluation of the Reconstruction Accuracy with Optimized Channels. BI (2023)
Jesse Rong, Rui Sun, Yuxin Guo, Bin He
Effects of EEG Electrode Numbers on Deep Learning-Based Source Imaging. BI (2023)
Navid Ziaei, Reza Saadatifard, Ali Yousefi, Behzad Nazari, Sydney S. Cash, Angelique C. Paulk
Bayesian Time-Series Classifier for Decoding Simple Visual Stimuli from Intracranial Neural Activity. BI (2023)
Alessia Sarica, Federica Aracri, Maria Giovanna Bianco, Maria Grazia Vaccaro, Andrea Quattrone, Aldo Quattrone
Conversion from Mild Cognitive Impairment to Alzheimer's Disease: A Comparison of Tree-Based Machine Learning Algorithms for Survival Analysis. BI (2023)
Loren Koçillari, Marco Celotto, Nikolas A. Francis, Shoutik Mukherjee, Behtash Babadi, Patrick O. Kanold, Stefano Panzeri
Measuring Stimulus-Related Redundant and Synergistic Functional Connectivity with Single Cell Resolution in Auditory Cortex. BI (2023)
Xueqing Liu, Paul Sajda
Roe: A Computational-Efficient Anti-hallucination Fine-Tuning Technology for Large Language Model Inspired by Human Learning Process. BI (2023)
Petr Kuderov, Evgenii Dzhivelikian, Aleksandr I. Panov
Stabilize Sequential Data Representation via Attraction Module. BI (2023)
Philopateer Ghattas, Mai Gamal, Seif Eldawlatly
Social and Non-social Reward Learning Contexts for Detection of Major Depressive Disorder Using EEG: A Machine Learning Approach. BI (2023)
Sobhana Jahan, Md. Rawnak Saif Adib, Mufti Mahmud, M. Shamim Kaiser
Comparison Between Explainable AI Algorithms for Alzheimer's Disease Prediction Using EfficientNet Models. BI (2023)
Fotis P. Kalaganis, Kostas Georgiadis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Nikolaos A. Laskaris, Ioannis Kompatsiaris
Exploiting Approximate Joint Diagonalization for Covariance Estimation in Imagined Speech Decoding. BI (2023)
Shulin Wen, Shihao Yang, Xinglong Ju, Ting Liao, Feng Liu
Prediction of Cannabis Addictive Patients with Graph Neural Networks. BI (2023)
Karoline Seljevoll Herleiksplass, Luis Alfredo Moctezuma, Junya Furuki, Yoko Suzuki, Takashi Abe, Marta Molinas
Automatic Sleep-Wake Scoring with Optimally Selected EEG Channels from High-Density EEG. BI (2023)
Roshan Bhandari, Rishikesh V. Phatangare, Mark A. Eckert, Kenneth I. Vaden Jr., James Zijun Wang
Dyslexia Data Consortium Repository: A Data Sharing and Delivery Platform for Research. BI (2023)
Luis Alfredo Moctezuma, Kazuki Sato, Marta Molinas, Takashi Abe
Decoding Emotion Dimensions Arousal and Valence Elicited on EEG Responses to Videos and Images: A Comparative Evaluation. BI (2023)

volume 13974, 2023

Brain Informatics - 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1-3, 2023, Proceedings BI 13974 (2023)

2022

volume 13406, 2022

Brain Informatics - 15th International Conference, BI 2022, Padua, Italy, July 15-17, 2022, Proceedings BI 13406 (2022)