Cailey I. Kerley

Orcid: 0000-0002-0866-8617

According to our database1, Cailey I. Kerley authored at least 12 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023

Batch size go big or go home: counterintuitive improvement in medical autoencoders with smaller batch size.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context.
Proceedings of the Medical Imaging with Deep Learning, 2023

2022
pyPheWAS: A Phenome-Disease Association Tool for Electronic Medical Record Analysis.
Neuroinformatics, 2022

Joint independent component analysis for hypothesizing spatiotemporal relationships between longitudinal gray and white matter changes in preclinical Alzheimer's disease.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021
Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography.
Neuroinformatics, 2021

Validation of group-wise registration for surface-based functional MRI analysis.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Joint cortical surface and structural connectivity analysis of Alzheimer's disease.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2020
Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

MRI correlates of chronic symptoms in mild traumatic brain injury.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

2019
Montage based 3D medical image retrieval from traumatic brain injury cohort using deep convolutional neural network.
Proceedings of the Medical Imaging 2019: Image Processing, 2019


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