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Reihaneh Hassanzadeh

Showing results (1-10 of 11) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
A Supervised Contrastive Learning-based Analysis of rs-tMRI Data Captures Gender Differences in Nonlinear Functional Network CouplingReihaneh Hassanzadeh, Vince Calhoun
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Deep learning in resting-state fMRI<sup></sup>Anees Abrol, Reihaneh Hassanzadeh, Sergey Plis, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Cross-Modality Translation with Generative Adversarial Networks to Unveil Alzheimer's Disease BiomarkersReihaneh Hassanzadeh, Anees Abrol, Hamid Reza Hassanzadeh, et al.
Research Square|June 29, 2026
From Structure to Function and Back Again: A GAN-Guided Diffusion Framework for Generating Clinically Meaningful Multimodal Neuroimaging DataReihaneh Hassanzadeh, Anees Abrol, Hamid Reza Hassanzadeh, et al.
Plos One|May 20, 2024
A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer's disease using resting-state functional network connectivityReihaneh Hassanzadeh, Anees Abrol, Godfrey Pearlson, et al.
Neuroimage. Clinical|December 5, 2024
A multimodal Neuroimaging-Based risk score for mild cognitive impairmentElaheh Zendehrouh, Mohammad S E Sendi, Anees Abrol, et al.
Medrxiv : the Preprint Server for Health Sciences|April 1, 2024
Towards a multimodal neuroimaging-based risk score for mild cognitive impairment by combining clinical studies with a large (N>37000) population-based studyElaheh Zendehrouh, Mohammad S E Sendi, Anees Abrol, et al.
Neuroimage. Clinical|December 31, 2024
Corrigendum to "A multimodal neuroimaging-based risk score for mild cognitive impairment" [NeuroImage: Clinical 45 (2025) 103719]Elaheh Zendehrouh, Mohammad S E Sendi, Anees Abrol, et al.
Plos One|January 21, 2022
Individualized spatial network predictions using Siamese convolutional neural networks: A resting-state fMRI study of over 11,000 unaffected individualsReihaneh Hassanzadeh, Rogers F Silva, Anees Abrol, et al.
Brain : a Journal of Neurology|January 22, 2025
Redefining diagnostic lesional status in temporal lobe epilepsy with artificial intelligenceEzequiel Gleichgerrcht, Erik Kaestner, Reihaneh Hassanzadeh, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
A Supervised Contrastive Learning-based Analysis of rs-tMRI Data Captures Gender Differences in Nonlinear Functional Network CouplingReihaneh Hassanzadeh, Vince Calhoun
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Deep learning in resting-state fMRI<sup></sup>Anees Abrol, Reihaneh Hassanzadeh, Sergey Plis, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Cross-Modality Translation with Generative Adversarial Networks to Unveil Alzheimer's Disease BiomarkersReihaneh Hassanzadeh, Anees Abrol, Hamid Reza Hassanzadeh, et al.
Research Square|June 29, 2026
From Structure to Function and Back Again: A GAN-Guided Diffusion Framework for Generating Clinically Meaningful Multimodal Neuroimaging DataReihaneh Hassanzadeh, Anees Abrol, Hamid Reza Hassanzadeh, et al.
Plos One|May 20, 2024
A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer's disease using resting-state functional network connectivityReihaneh Hassanzadeh, Anees Abrol, Godfrey Pearlson, et al.
Neuroimage. Clinical|December 5, 2024
A multimodal Neuroimaging-Based risk score for mild cognitive impairmentElaheh Zendehrouh, Mohammad S E Sendi, Anees Abrol, et al.
Medrxiv : the Preprint Server for Health Sciences|April 1, 2024
Towards a multimodal neuroimaging-based risk score for mild cognitive impairment by combining clinical studies with a large (N>37000) population-based studyElaheh Zendehrouh, Mohammad S E Sendi, Anees Abrol, et al.
Neuroimage. Clinical|December 31, 2024
Corrigendum to "A multimodal neuroimaging-based risk score for mild cognitive impairment" [NeuroImage: Clinical 45 (2025) 103719]Elaheh Zendehrouh, Mohammad S E Sendi, Anees Abrol, et al.
Plos One|January 21, 2022
Individualized spatial network predictions using Siamese convolutional neural networks: A resting-state fMRI study of over 11,000 unaffected individualsReihaneh Hassanzadeh, Rogers F Silva, Anees Abrol, et al.
Brain : a Journal of Neurology|January 22, 2025
Redefining diagnostic lesional status in temporal lobe epilepsy with artificial intelligenceEzequiel Gleichgerrcht, Erik Kaestner, Reihaneh Hassanzadeh, et al.
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