Gholamreza Salimi Khorshidi

28 papers A* 1Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure. IEEE J. Biomed. Health Informatics Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John G. F. Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi
2022	J	`jnl`	Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning. CoRR Yikuan Li, Mohammad Mamouei, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi, Gholamreza Salimi Khorshidi
2022	J	`jnl`	Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health records. CoRR Shishir Rao, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, Kazem Rahimi
2021	J	`jnl`	An explainable Transformer-based deep learning model for the prediction of incident heart failure. CoRR Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John G. F. Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi
2021	J	`jnl`	Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records. CoRR Yikuan Li, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi
2021	J	`jnl`	Risk factor identification for incident heart failure using neural network distillation and variable selection. CoRR Yikuan Li, Shishir Rao, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Dexter Canoy, Abdelaali Hassaïne, Thomas Lukasiewicz
2021	A*	`conf`	Topology Distance: A Topology-Based Approach for Evaluating Generative Adversarial Networks. AAAI Danijela Horak, Simiao Yu, Gholamreza Salimi Khorshidi
2021	J	`jnl`	Transfer Learning in Electronic Health Records through Clinical Concept Embedding. CoRR José Roberto Ayala Solares, Yajie Zhu, Abdelaali Hassaïne, Shishir Rao, Yikuan Li, Mohammad Mamouei, Dexter Canoy, Kazem Rahimi, Gholamreza Salimi Khorshidi
2020	J	`jnl`	Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records. CoRR Yikuan Li, Shishir Rao, Abdelaali Hassaïne, Rema Ramakrishnan, Yajie Zhu, Dexter Canoy, Gholamreza Salimi Khorshidi, Thomas Lukasiewicz, Kazem Rahimi
2020	J	`jnl`	Deep learning for electronic health records: A comparative review of multiple deep neural architectures. J. Biomed. Informatics José Roberto Ayala Solares, Francesca Elisa Diletta Raimondi, Yajie Zhu, Fatemeh Rahimian, Dexter Canoy, Jenny Tran, Ana Catarina Pinho Gomes, Amir Hossein Payberah, Mariagrazia Zottoli, Milad Nazarzadeh, Nathalie Conrad, Kazem Rahimi, Gholamreza Salimi Khorshidi
2020	J	`jnl`	Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation. J. Biomed. Informatics Abdelaali Hassaïne, Dexter Canoy, José Roberto Ayala Solares, Yajie Zhu, Shishir Rao, Yikuan Li, Mariagrazia Zottoli, Kazem Rahimi, Gholamreza Salimi Khorshidi
2020	J	`jnl`	Topology Distance: A Topology-Based Approach For Evaluating Generative Adversarial Networks. CoRR Danijela Horak, Simiao Yu, Gholamreza Salimi Khorshidi
2020	J	`jnl`	¶ILCRO: Making Importance Landscapes Flat Again. CoRR Vincent Moens, Simiao Yu, Gholamreza Salimi Khorshidi
2019	J	`jnl`	BEHRT: Transformer for Electronic Health Records. CoRR Yikuan Li, Shishir Rao, José Roberto Ayala Solares, Abdelaali Hassaïne, Dexter Canoy, Yajie Zhu, Kazem Rahimi, Gholamreza Salimi Khorshidi
2019	J	`jnl`	Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation. CoRR Abdelaali Hassaïne, Dexter Canoy, José Roberto Ayala Solares, Yajie Zhu, Shishir Rao, Yikuan Li, Kazem Rahimi, Gholamreza Salimi Khorshidi
2018	—	`conf`	Physical Activity and Sleep Analysis of Heart Failure Patients using Multi-sensor Patches. EMBC Johanna O'Donnell, Carmelo Velardo, Syed Ahmar Shah, Gholamreza Salimi Khorshidi, Dario Salvi, Kazem Rahimi, Lionel Tarassenko
2014	J	`jnl`	Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers. NeuroImage Gholamreza Salimi Khorshidi, Gwenaëlle Douaud, Christian F. Beckmann, Matthew F. Glasser, Ludovica Griffanti, Stephen M. Smith
2014	J	`jnl`	ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging. NeuroImage Ludovica Griffanti, Gholamreza Salimi Khorshidi, Christian F. Beckmann, Edward J. Auerbach, Gwenaëlle Douaud, Claire E. Sexton, Eniko Zsoldos, Klaus P. Ebmeier, Nicola Filippini, Clare E. Mackay, Steen Moeller, Junqian Xu, Essa Yacoub, Giuseppe Baselli, Kâmil Ugurbil, Karla L. Miller, Stephen M. Smith
2013	J	`jnl`	Resting-state fMRI in the Human Connectome Project. NeuroImage Stephen M. Smith, Christian F. Beckmann, Jesper L. R. Andersson, Edward J. Auerbach, Janine D. Bijsterbosch, Gwenaëlle Douaud, Eugene P. Duff, David A. Feinberg, Ludovica Griffanti, Michael P. Harms, Michael Kelly, Timothy O. Laumann, Karla L. Miller, Steen Moeller, Steven E. Petersen, Jonathan D. Power, Gholamreza Salimi Khorshidi, Abraham Z. Snyder, An T. Vu, Mark William Woolrich, Junqian Xu, Essa Yacoub, Kâmil Ugurbil, David C. Van Essen, Matthew F. Glasser
2011	J	`jnl`	Adjusting the effect of nonstationarity in cluster-based and TFCE inference. NeuroImage Gholamreza Salimi Khorshidi, Stephen M. Smith, Thomas E. Nichols
2011	J	`jnl`	Network modelling methods for FMRI. NeuroImage Stephen M. Smith, Karla L. Miller, Gholamreza Salimi Khorshidi, Matthew A. Webster, Christian F. Beckmann, Thomas E. Nichols, Joseph D. Ramsey, Mark William Woolrich
2011	J	`jnl`	Using Gaussian-Process Regression for Meta-Analytic Neuroimaging Inference Based on Sparse Observations. IEEE Trans. Medical Imaging Gholamreza Salimi Khorshidi, Thomas E. Nichols, Stephen M. Smith, Mark William Woolrich
2009	—	`conf`	Adjusting the Neuroimaging Statistical Inferences for Nonstationarity. MICCAI (1) Gholamreza Salimi Khorshidi, Stephen M. Smith, Thomas E. Nichols
2009	J	`jnl`	Meta-analysis of neuroimaging data: A comparison of image-based and coordinate-based pooling of studies. NeuroImage Gholamreza Salimi Khorshidi, Stephen M. Smith, John Keltner, Tor D. Wager, Thomas E. Nichols
2008	J	`jnl`	Fusion of classic P300 detection methods' inferences in a framework of fuzzy labels. Artif. Intell. Medicine Gholamreza Salimi Khorshidi, Ali Motie Nasrabadi, Mohammadreza Hashemi Golpayeghani
2007	—	`conf`	Modifying the Classic Peak Picking Technique Using a Fuzzy Multi Agent to Have an Accurate P300-based BCI. EUSFLAT Conf. (2) Gholamreza Salimi Khorshidi, Ayyoub Jaafari, Ali Motie Nasrabadi, Mohammadreza Hashemi Golpayeghani
2007	—	`conf`	Toward a Solution for "Genetic Algorithm"-"Support Vector Machine" Combination to Have a Reliable P300-based BCI. EUSFLAT Conf. (2) Gholamreza Salimi Khorshidi, Ayyoub Jaafari, Ali Motie Nasrabadi, Mohammadreza Hashemi Golpayeghani, Caro Lucas
2007	—	`conf`	Using Supervised Fuzzy Clustering and CWT for Ventricular Late Potentials Detection in HRECG Signal. EUSFLAT Conf. (2) Gholamreza Salimi Khorshidi, Ayyoub Jaafari, Amir Pourmorteza, Ali Motie Nasrabadi, Mohammadreza Hashemi Golpayeghani