Gholamreza Salimi Khorshidi
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
2023
Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records.
IEEE J. Biomed. Health Informatics, February, 2023
2022
An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure.
IEEE J. Biomed. Health Informatics, 2022
Remote. Sens., 2022
Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning.
CoRR, 2022
2021
CoRR, 2021
Risk factor identification for incident heart failure using neural network distillation and variable selection.
CoRR, 2021
An explainable Transformer-based deep learning model for the prediction of incident heart failure.
CoRR, 2021
Topology Distance: A Topology-Based Approach for Evaluating Generative Adversarial Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Deep learning for electronic health records: A comparative review of multiple deep neural architectures.
J. Biomed. Informatics, 2020
Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation.
J. Biomed. Informatics, 2020
Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records.
CoRR, 2020
2019
Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation.
CoRR, 2019
2018
Physical Activity and Sleep Analysis of Heart Failure Patients using Multi-sensor Patches.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2014
Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers.
NeuroImage, 2014
ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging.
NeuroImage, 2014
2013
2011
Using Gaussian-Process Regression for Meta-Analytic Neuroimaging Inference Based on Sparse Observations.
IEEE Trans. Medical Imaging, 2011
NeuroImage, 2011
2009
Meta-analysis of neuroimaging data: A comparison of image-based and coordinate-based pooling of studies.
NeuroImage, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
2008
Artif. Intell. Medicine, 2008
2007
Using Supervised Fuzzy Clustering and CWT for Ventricular Late Potentials Detection in HRECG Signal.
Proceedings of the New Dimensions in Fuzzy Logic and Related Technologies. Proceedings of the 5th EUSFLAT Conference, 2007
Toward a Solution for "Genetic Algorithm"-"Support Vector Machine" Combination to Have a Reliable P300-based BCI.
Proceedings of the New Dimensions in Fuzzy Logic and Related Technologies. Proceedings of the 5th EUSFLAT Conference, 2007
Modifying the Classic Peak Picking Technique Using a Fuzzy Multi Agent to Have an Accurate P300-based BCI.
Proceedings of the New Dimensions in Fuzzy Logic and Related Technologies. Proceedings of the 5th EUSFLAT Conference, 2007