Fahd H Alhazmi

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Gagan WigUniversity of Texas at Dallas, University of Texas Southwestern Medical CenterAdresse e-mail validée de utdallas.edu
Micaela Y. ChanResearch Scientist at University of Texas at DallasAdresse e-mail validée de utdallas.edu
Hervé AbdiProfessor, The University of Texas at Dallas. School of Behavioral and Brain SciencesAdresse e-mail validée de utdallas.edu
Denise ParkUniversity of Texas at DallasAdresse e-mail validée de utdallas.edu
Neil K. SavaliaMD-PhD StudentAdresse e-mail validée de yale.edu
Derek BeatonDirector of Advanced Analytics, Data Science & Advanced Analytics (DSAA), St. Michael’s HospitalAdresse e-mail validée de unityhealth.to
Jenny RieckHealth Canada | Santé CanadaAdresse e-mail validée de hc-sc.gc.ca
Alzheimer's Disease Neuroimaging Ini...Adresse e-mail validée de njit.edu

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Fahd H Alhazmi

PhD student at the Graduate Center, City University of New York (CUNY)

Adresse e-mail validée de gc.cuny.edu - Page d'accueil

Neuroimaging Machine Learning Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Resting-state network topology differentiates task signals across the adult life span MY Chan, FH Alhazmi, DC Park, NK Savalia, GS Wig Journal of Neuroscience 37 (10), 2734-2745, 2017	91	2017
Semantically defined subdomains of functional neuroimaging literature and their corresponding brain regions FH Alhazmi, D Beaton, H Abdi Human brain mapping, 2018	15	2018
Parameter sensitivity and experimental validation for fractional-order dynamical modeling of neurovascular coupling Z Belkhatir, F Alhazmi, MA Bahloul, TM Laleg-Kirati IEEE Open Journal of Engineering in Medicine and Biology 3, 69-77, 2022	3	2022
The latent semantic space and corresponding brain regions of the functional neuroimaging literature via neurosynth F Alhazmi, D Beaton, H Abdi bioRxiv, 2017	3	2017
Multivariate genotypic analyses that identify specific genotypes to characterize disease and control groups in ADNI D Beaton, JR Rieck, F Alhazmi, ADNI, H Abdi bioRxiv, 235945, 2017	2	2017
Agency rescues competition for credit assignment among predictive cues from adverse learning conditions M Kang, I Reverte, S Volz, K Kaufman, S Fevola, A Matarazzo, ... Scientific Reports 11 (1), 16187, 2021	1	2021
A self-initiated cue-reward learning procedure for neural recording in rodents I Reverte, S Volz, FH Alhazmi, M Kang, K Kaufman, S Chan, C Jou, ... Journal of neuroscience methods 338, 108671, 2020	1	2020
Competitive and Facilitative Interactions Between Pavlovian Cues in Human Associative Learning: A Behavioral and Neural Analysis F Alhazmi City University of New York, 2022		2022
Identifying Clinically Relevant Subgroups in Major Depressive Disorder Using Resting-State Functional Connectivity: Results From the EMBARC Study C Cooper, N Salvalia, P Agres, M Chan, L Han, F Alhazmi, M Fava, ... NEUROPSYCHOPHARMACOLOGY 41, S521-S522, 2016		2016
Modulation of Learning by The Integration of Common and Separate Prediction Errors F Alhazmi, A Krishanan, G Esber
2022 Index IEEE Open Journal of Engineering Medicine and Biology Vol. 3 A Affan, JL Agraz, E Agu, H Akbari, F Alhazmi, H Alwasiti, F Artaud, ...
Multivariate meta-analytic tools to explore associations between cognitive functions & brain regions F Alhazmi, H Abdi, A Krishnan

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