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Gholamreza Salimi Khorshidi
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j14]Shishir Rao
, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Yikuan Li
, Rema Ramakrishnan
, Abdelaali Hassaïne
, Dexter Canoy
, Kazem Rahimi:
Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5027-5038 (2024) - 2023
- [j13]Yikuan Li
, Mohammad Mamouei
, Gholamreza Salimi-Khorshidi, Shishir Rao
, Abdelaali Hassaïne
, Dexter Canoy
, Thomas Lukasiewicz, Kazem Rahimi:
Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records. IEEE J. Biomed. Health Informatics 27(2): 1106-1117 (2023) - 2022
- [j12]Thomas Fisher
, Harry Gibson, Yunzhe Liu, Moloud Abdar, Marius Posa, Gholamreza Salimi-Khorshidi, Abdelaali Hassaïne, Yutong Cai
, Kazem Rahimi, Mohammad Mamouei
:
Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring. Remote. Sens. 14(13): 3072 (2022) - [j11]Shishir Rao
, Yikuan Li
, Rema Ramakrishnan
, Abdelaali Hassaïne
, Dexter Canoy
, John G. F. Cleland
, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi:
An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure. IEEE J. Biomed. Health Informatics 26(7): 3362-3372 (2022) - [i11]Shishir Rao, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, Kazem Rahimi:
Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health records. CoRR abs/2202.03487 (2022) - [i10]Yikuan Li, Mohammad Mamouei, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi, Gholamreza Salimi Khorshidi:
Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning. CoRR abs/2205.07234 (2022) - 2021
- [c6]Danijela Horak, Simiao Yu, Gholamreza Salimi Khorshidi:
Topology Distance: A Topology-Based Approach for Evaluating Generative Adversarial Networks. AAAI 2021: 7721-7728 - [i9]Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi:
An explainable Transformer-based deep learning model for the prediction of incident heart failure. CoRR abs/2101.11359 (2021) - [i8]Yikuan Li, Shishir Rao, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Dexter Canoy, Abdelaali Hassaïne, Thomas Lukasiewicz:
Risk factor identification for incident heart failure using neural network distillation and variable selection. CoRR abs/2102.12936 (2021) - [i7]Yikuan Li, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi:
Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records. CoRR abs/2106.11360 (2021) - [i6]José Roberto Ayala Solares, Yajie Zhu, Abdelaali Hassaïne, Shishir Rao, Yikuan Li, Mohammad Mamouei, Dexter Canoy, Kazem Rahimi, Gholamreza Salimi Khorshidi:
Transfer Learning in Electronic Health Records through Clinical Concept Embedding. CoRR abs/2107.12919 (2021) - 2020
- [j10]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:
Deep learning for electronic health records: A comparative review of multiple deep neural architectures. J. Biomed. Informatics 101: 103337 (2020) - [j9]Abdelaali Hassaïne, Dexter Canoy
, José Roberto Ayala Solares, Yajie Zhu, Shishir Rao, Yikuan Li, Mariagrazia Zottoli, Kazem Rahimi
, Gholamreza Salimi Khorshidi:
Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation. J. Biomed. Informatics 112: 103606 (2020) - [i5]Vincent Moens, Simiao Yu, Gholamreza Salimi Khorshidi:
¶ILCRO: Making Importance Landscapes Flat Again. CoRR abs/2001.09696 (2020) - [i4]Danijela Horak, Simiao Yu, Gholamreza Salimi Khorshidi:
Topology Distance: A Topology-Based Approach For Evaluating Generative Adversarial Networks. CoRR abs/2002.12054 (2020) - [i3]Yikuan Li
, Shishir Rao, Abdelaali Hassaïne, Rema Ramakrishnan, Yajie Zhu, Dexter Canoy, Gholamreza Salimi Khorshidi, Thomas Lukasiewicz, Kazem Rahimi:
Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records. CoRR abs/2003.10170 (2020)
2010 – 2019
- 2019
- [i2]Abdelaali Hassaïne, Dexter Canoy, José Roberto Ayala Solares
, Yajie Zhu, Shishir Rao, Yikuan Li
, Kazem Rahimi, Gholamreza Salimi Khorshidi:
Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation. CoRR abs/1907.08577 (2019) - [i1]Yikuan Li, Shishir Rao, José Roberto Ayala Solares
, Abdelaali Hassaïne, Dexter Canoy, Yajie Zhu, Kazem Rahimi, Gholamreza Salimi Khorshidi:
BEHRT: Transformer for Electronic Health Records. CoRR abs/1907.09538 (2019) - 2018
- [c5]Johanna O'Donnell, Carmelo Velardo, Syed Ahmar Shah
, Gholamreza Salimi Khorshidi, Dario Salvi
, Kazem Rahimi
, Lionel Tarassenko:
Physical Activity and Sleep Analysis of Heart Failure Patients using Multi-sensor Patches. EMBC 2018: 6092-6095 - 2014
- [j8]Gholamreza Salimi Khorshidi
, Gwenaëlle Douaud, Christian F. Beckmann
, Matthew F. Glasser, Ludovica Griffanti
, Stephen M. Smith
:
Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers. NeuroImage 90: 449-468 (2014) - [j7]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
:
ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging. NeuroImage 95: 232-247 (2014) - 2013
- [j6]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:
Resting-state fMRI in the Human Connectome Project. NeuroImage 80: 144-168 (2013) - 2011
- [j5]Stephen M. Smith
, Karla L. Miller
, Gholamreza Salimi Khorshidi, Matthew A. Webster, Christian F. Beckmann
, Thomas E. Nichols
, Joseph D. Ramsey, Mark William Woolrich
:
Network modelling methods for FMRI. NeuroImage 54(2): 875-891 (2011) - [j4]Gholamreza Salimi Khorshidi, Stephen M. Smith
, Thomas E. Nichols
:
Adjusting the effect of nonstationarity in cluster-based and TFCE inference. NeuroImage 54(3): 2006-2019 (2011) - [j3]Gholamreza Salimi Khorshidi, Thomas E. Nichols
, Stephen M. Smith
, Mark William Woolrich
:
Using Gaussian-Process Regression for Meta-Analytic Neuroimaging Inference Based on Sparse Observations. IEEE Trans. Medical Imaging 30(7): 1401-1416 (2011)
2000 – 2009
- 2009
- [j2]Gholamreza Salimi Khorshidi, Stephen M. Smith
, John Keltner, Tor D. Wager, Thomas E. Nichols
:
Meta-analysis of neuroimaging data: A comparison of image-based and coordinate-based pooling of studies. NeuroImage 45(3): 810-823 (2009) - [c4]Gholamreza Salimi Khorshidi, Stephen M. Smith
, Thomas E. Nichols
:
Adjusting the Neuroimaging Statistical Inferences for Nonstationarity. MICCAI (1) 2009: 992-999 - 2008
- [j1]Gholamreza Salimi Khorshidi, Ali Motie Nasrabadi
, Mohammadreza Hashemi Golpayeghani:
Fusion of classic P300 detection methods' inferences in a framework of fuzzy labels. Artif. Intell. Medicine 44(3): 247-259 (2008) - 2007
- [c3]Gholamreza Salimi Khorshidi, Ayyoub Jaafari, Amir Pourmorteza, Ali Motie Nasrabadi, Mohammadreza Hashemi Golpayeghani:
Using Supervised Fuzzy Clustering and CWT for Ventricular Late Potentials Detection in HRECG Signal. EUSFLAT Conf. (2) 2007: 63-69 - [c2]Gholamreza Salimi Khorshidi, Ayyoub Jaafari, Ali Motie Nasrabadi, Mohammadreza Hashemi Golpayeghani:
Modifying the Classic Peak Picking Technique Using a Fuzzy Multi Agent to Have an Accurate P300-based BCI. EUSFLAT Conf. (2) 2007: 143-147 - [c1]Gholamreza Salimi Khorshidi, Ayyoub Jaafari, Ali Motie Nasrabadi, Mohammadreza Hashemi Golpayeghani, Caro Lucas:
Toward a Solution for "Genetic Algorithm"-"Support Vector Machine" Combination to Have a Reliable P300-based BCI. EUSFLAT Conf. (2) 2007: 149-154
Coauthor Index
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last updated on 2024-06-10 20:25 CEST by the dblp team
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