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Cooper Mellema

Showing results (1-10 of 8) with videos related to

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Proceedings. IEEE International Symposium on Biomedical Imaging|November 20, 2019
Multiple Deep Learning Architectures Achieve Superior Performance Diagnosing Autism Spectrum Disorder Using Features Previously Extracted from Structural and Functional MRICooper Mellema, Alex Treacher, Kevin Nguyen, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|March 26, 2021
Improved motion correction for functional MRI using an omnibus regression modelVyom Raval, Kevin P Nguyen, Cooper Mellema, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|November 20, 2019
Sensitivity of derived clinical biomarkers to rs-fMRI preprocessing software versionsKevin P Nguyen, Cherise Chin Fatt, Cooper Mellema, et al.
Predictive Intelligence in Medicine. PRIME (Workshop)|November 12, 2019
Predicting Response to the Antidepressant Bupropion using Pretreatment fMRIKevin P Nguyen, Cherise Chin Fatt, Alex Treacher, et al.
Proceedings of Spie--The International Society for Optical Engineering|March 26, 2021
Anatomically-Informed Data Augmentation for Functional MRI with Applications to Deep LearningKevin P Nguyen, Cherise Chin Fatt, Alex Treacher, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|October 1, 2019
Reconfiguring Motor Circuits for a Joint Manual and BCI TaskBenjamin Lansdell, Ivana Milovanovic, Cooper Mellema, et al.
Parkinsonism & Related Disorders|March 17, 2021
Predicting Parkinson's disease trajectory using clinical and neuroimaging baseline measuresKevin P Nguyen, Vyom Raval, Alex Treacher, et al.
Biological Psychiatry|December 17, 2021
Patterns of Pretreatment Reward Task Brain Activation Predict Individual Antidepressant Response: Key Results From the EMBARC Randomized Clinical TrialKevin P Nguyen, Cherise Chin Fatt, Alex Treacher, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Proceedings. IEEE International Symposium on Biomedical Imaging|November 20, 2019
Multiple Deep Learning Architectures Achieve Superior Performance Diagnosing Autism Spectrum Disorder Using Features Previously Extracted from Structural and Functional MRICooper Mellema, Alex Treacher, Kevin Nguyen, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|March 26, 2021
Improved motion correction for functional MRI using an omnibus regression modelVyom Raval, Kevin P Nguyen, Cooper Mellema, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|November 20, 2019
Sensitivity of derived clinical biomarkers to rs-fMRI preprocessing software versionsKevin P Nguyen, Cherise Chin Fatt, Cooper Mellema, et al.
Predictive Intelligence in Medicine. PRIME (Workshop)|November 12, 2019
Predicting Response to the Antidepressant Bupropion using Pretreatment fMRIKevin P Nguyen, Cherise Chin Fatt, Alex Treacher, et al.
Proceedings of Spie--The International Society for Optical Engineering|March 26, 2021
Anatomically-Informed Data Augmentation for Functional MRI with Applications to Deep LearningKevin P Nguyen, Cherise Chin Fatt, Alex Treacher, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|October 1, 2019
Reconfiguring Motor Circuits for a Joint Manual and BCI TaskBenjamin Lansdell, Ivana Milovanovic, Cooper Mellema, et al.
Parkinsonism & Related Disorders|March 17, 2021
Predicting Parkinson's disease trajectory using clinical and neuroimaging baseline measuresKevin P Nguyen, Vyom Raval, Alex Treacher, et al.
Biological Psychiatry|December 17, 2021
Patterns of Pretreatment Reward Task Brain Activation Predict Individual Antidepressant Response: Key Results From the EMBARC Randomized Clinical TrialKevin P Nguyen, Cherise Chin Fatt, Alex Treacher, et al.
Pageof 1