Cailey I. Kerley
Orcid: 0000-0002-0866-8617
According to our database1,
Cailey I. Kerley
authored at least 13 papers
between 2019 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
Proceedings of the Medical Imaging 2023: Image Processing, 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
Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labels.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 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
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
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
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
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