Alex Treacher
Orcid: 0000-0003-1314-7629
According to our database1,
Alex Treacher
authored at least 9 papers
between 2019 and 2023.
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Bibliography
2023
Adversarially-Regularized Mixed Effects Deep Learning (ARMED) Models Improve Interpretability, Performance, and Generalization on Clustered (non-iid) Data.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023
2022
UQ-ARMED: Uncertainty quantification of adversarially-regularized mixed effects deep learning for clustered non-iid data.
CoRR, 2022
DC and SA: Robust and Efficient Hyperparameter Optimization of Multi-subnetwork Deep Learning Models.
CoRR, 2022
2021
MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks.
NeuroImage, 2021
2020
Anatomically informed data augmentation for functional MRI with applications to deep learning.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
Deep learning convolutional neural networks for the estimation of liver fibrosis severity from ultrasound texture.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Multiple Deep Learning Architectures Achieve Superior Performance Diagnosing Autism Spectrum Disorder Using Features Previously Extracted From Structural And Functional Mri.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019