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Alex Treacher

Showing results (1-10 of 9) 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
Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum DisorderCooper J Mellema, Alex Treacher, Kevin P Nguyen, et al.
Scientific Reports|February 24, 2022
Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learningCooper J Mellema, Kevin P Nguyen, Alex Treacher, et al.
Proceedings of Spie--The International Society for Optical Engineering|November 20, 2019
Deep Learning Convolutional Neural Networks for the Estimation of Liver Fibrosis Severity from Ultrasound TextureAlex Treacher, Daniel Beauchamp, Bilal Quadri, 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.
Neuroimage. Clinical|March 12, 2024
Longitudinal prognosis of Parkinson's outcomes using causal connectivityCooper J Mellema, Kevin P Nguyen, Alex Treacher, 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 9) 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
Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum DisorderCooper J Mellema, Alex Treacher, Kevin P Nguyen, et al.
Scientific Reports|February 24, 2022
Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learningCooper J Mellema, Kevin P Nguyen, Alex Treacher, et al.
Proceedings of Spie--The International Society for Optical Engineering|November 20, 2019
Deep Learning Convolutional Neural Networks for the Estimation of Liver Fibrosis Severity from Ultrasound TextureAlex Treacher, Daniel Beauchamp, Bilal Quadri, 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.
Neuroimage. Clinical|March 12, 2024
Longitudinal prognosis of Parkinson's outcomes using causal connectivityCooper J Mellema, Kevin P Nguyen, Alex Treacher, 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