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Alex H Treacher

Showing results (1-10 of 4) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|April 5, 2023
Adversarially-Regularized Mixed Effects Deep Learning (ARMED) Models Improve Interpretability, Performance, and Generalization on Clustered (non-iid) DataKevin P Nguyen, Alex H Treacher, Albert A Montillo
Nature Communications|June 10, 2022
Association between resting-state functional brain connectivity and gene expression is altered in autism spectrum disorderStefano Berto, Alex H Treacher, Emre Caglayan, et al.
Clinical Ophthalmology (Auckland, N.Z.)|August 25, 2022
Glaucoma Diagnosis Through the Integration of Optical Coherence Tomography/Angiography and Machine Learning Diagnostic ModelsKaranjit S Kooner, Ashika Angirekula, Alex H Treacher, et al.
Neuroimage|July 18, 2021
MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networksAlex H Treacher, Prabhat Garg, Elizabeth Davenport, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 5, 2023
Adversarially-Regularized Mixed Effects Deep Learning (ARMED) Models Improve Interpretability, Performance, and Generalization on Clustered (non-iid) DataKevin P Nguyen, Alex H Treacher, Albert A Montillo
Nature Communications|June 10, 2022
Association between resting-state functional brain connectivity and gene expression is altered in autism spectrum disorderStefano Berto, Alex H Treacher, Emre Caglayan, et al.
Clinical Ophthalmology (Auckland, N.Z.)|August 25, 2022
Glaucoma Diagnosis Through the Integration of Optical Coherence Tomography/Angiography and Machine Learning Diagnostic ModelsKaranjit S Kooner, Ashika Angirekula, Alex H Treacher, et al.
Neuroimage|July 18, 2021
MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networksAlex H Treacher, Prabhat Garg, Elizabeth Davenport, et al.
Pageof 1