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Haleh Falakshahi

Showing results (1-10 of 10) 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|March 5, 2025
Label Noise-Robust Ensemble Deep Multimodal Framework For Neuroimaging DataHooman Rokham, Haleh Falakshahi, Vince D Calhoun
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
A Deep Learning Approach for Psychosis Spectrum Label Noise Detection from Multimodal Neuroimaging DataHooman Rokham, Haleh Falakshahi, Vince D Calhoun
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
Path-based Differential Analysis in Near-centenarians and Centenarians Brain NetworkHaleh Falakshahi, Hooman Rokham, Vince D Calhoun
Human Brain Mapping|September 10, 2025
Neuroimaging Data Informed Mood and Psychosis Diagnosis Using an Ensemble Deep Multimodal FrameworkHooman Rokham, Haleh Falakshahi, Godfrey D Pearlson, et al.
Human Brain Mapping|March 15, 2023
Evaluation of boundaries between mood and psychosis disorder using dynamic functional network connectivity (dFNC) via deep learning classificationHooman Rokham, Haleh Falakshahi, Zening Fu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Network Differential in Gaussian Graphical Models from Multimodal Neuroimaging Data<sup></sup>Haleh Falakshahi, Hooman Rokham, Robyn Miller, et al.
Sensors (Basel, Switzerland)|February 10, 2024
Intra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer's Disease and Cognitive ImpairmentSahithi Kolla, Haleh Falakshahi, Anees Abrol, et al.
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|August 11, 2020
Addressing Inaccurate Nosology in Mental Health: A Multilabel Data Cleansing Approach for Detecting Label Noise From Structural Magnetic Resonance Imaging Data in Mood and Psychosis DisordersHooman Rokham, Godfrey Pearlson, Anees Abrol, et al.
Network Neuroscience (Cambridge, Mass.)|October 7, 2022
Path analysis: A method to estimate altered pathways in time-varying graphs of neuroimaging dataHaleh Falakshahi, Hooman Rokham, Zening Fu, et al.
IEEE Transactions on Bio-Medical Engineering|January 17, 2020
Meta-Modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in SchizophreniaHaleh Falakshahi, Victor M Vergara, Jingyu Liu, et al.
Pageof 1

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

Sort By:
Pageof 1
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
Label Noise-Robust Ensemble Deep Multimodal Framework For Neuroimaging DataHooman Rokham, Haleh Falakshahi, Vince D Calhoun
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
A Deep Learning Approach for Psychosis Spectrum Label Noise Detection from Multimodal Neuroimaging DataHooman Rokham, Haleh Falakshahi, Vince D Calhoun
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
Path-based Differential Analysis in Near-centenarians and Centenarians Brain NetworkHaleh Falakshahi, Hooman Rokham, Vince D Calhoun
Human Brain Mapping|September 10, 2025
Neuroimaging Data Informed Mood and Psychosis Diagnosis Using an Ensemble Deep Multimodal FrameworkHooman Rokham, Haleh Falakshahi, Godfrey D Pearlson, et al.
Human Brain Mapping|March 15, 2023
Evaluation of boundaries between mood and psychosis disorder using dynamic functional network connectivity (dFNC) via deep learning classificationHooman Rokham, Haleh Falakshahi, Zening Fu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Network Differential in Gaussian Graphical Models from Multimodal Neuroimaging Data<sup></sup>Haleh Falakshahi, Hooman Rokham, Robyn Miller, et al.
Sensors (Basel, Switzerland)|February 10, 2024
Intra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer's Disease and Cognitive ImpairmentSahithi Kolla, Haleh Falakshahi, Anees Abrol, et al.
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|August 11, 2020
Addressing Inaccurate Nosology in Mental Health: A Multilabel Data Cleansing Approach for Detecting Label Noise From Structural Magnetic Resonance Imaging Data in Mood and Psychosis DisordersHooman Rokham, Godfrey Pearlson, Anees Abrol, et al.
Network Neuroscience (Cambridge, Mass.)|October 7, 2022
Path analysis: A method to estimate altered pathways in time-varying graphs of neuroimaging dataHaleh Falakshahi, Hooman Rokham, Zening Fu, et al.
IEEE Transactions on Bio-Medical Engineering|January 17, 2020
Meta-Modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in SchizophreniaHaleh Falakshahi, Victor M Vergara, Jingyu Liu, et al.
Pageof 1