Montage based 3D medical image retrieval from traumatic brain injury cohort using deep convolutional neural network. - Cailey I. Kerley; Yuankai Huo; Shikha Chaganti; Shunxing Bao; Mayur B. Patel; Bennett A. Landman (Image Processing, 2019)

MRI correlates of chronic symptoms in mild traumatic brain injury. - Cailey I. Kerley; Kurt G. Schilling; Justin A. Blaber; Beth Miller; Allen T. Newton; Adam W. Anderson; Bennett A. Landman; Tonia S. Rex (Image Processing, 2020)

Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection. - Samuel Remedios; Zihao Wu 003; Camilo Bermudez; Cailey I. Kerley; Snehashis Roy; Mayur B. Patel; John A. Butman; Bennett A. Landman; Dzung L. Pham (Image Processing, 2020)

Joint cortical surface and structural connectivity analysis of Alzheimer's disease. - Leon Y. Cai; Cailey I. Kerley; Chang Yu 008; Katherine S. Aboud; Lori L. Beason-Held; Andrea T. Shafer; Susan M. Resnick; Lori C. Jordan; Adam W. Anderson; Kurt G. Schilling; Ilwoo Lyu; Bennett A. Landman (Image Processing, 2021)

Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury. - Cailey I. Kerley; Leon Y. Cai; Chang Yu 008; Logan M. Crawford; Jason M. Elenberger; Eden S. Singh; Kurt G. Schilling; Katherine S. Aboud; Bennett A. Landman; Tonia S. Rex (Image Processing, 2021)

Validation of group-wise registration for surface-based functional MRI analysis. - Chang Yu 008; Yue Liu 003; Leon Y. Cai; Cailey I. Kerley; Kaiwen Xu; Warren D. Taylor; Hakmook Kang; Andrea T. Shafer; Lori L. Beason-Held; Susan M. Resnick; Bennett A. Landman; Ilwoo Lyu (Image Processing, 2021)

Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography. - Colin B. Hansen; Qi Yang 004; Ilwoo Lyu; Francois Rheault; Cailey I. Kerley; Bramsh Qamar Chandio; Shreyas Fadnavis; Owen A. Williams; Andrea T. Shafer; Susan M. Resnick; David H. Zald; Laurie E. Cutting; et al. (Neuroinformatics, 2021)

Joint independent component analysis for hypothesizing spatiotemporal relationships between longitudinal gray and white matter changes in preclinical Alzheimer's disease. - Leon Y. Cai; Francois Rheault; Cailey I. Kerley; Katherine S. Aboud; Lori L. Beason-Held; Andrea T. Shafer; Susan M. Resnick; Lori C. Jordan; Adam W. Anderson; Kurt G. Schilling; Bennett A. Landman (Image Processing, 2022)

pyPheWAS: A Phenome-Disease Association Tool for Electronic Medical Record Analysis. - Cailey I. Kerley; Shikha Chaganti; Tin Q. Nguyen; Camilo Bermudez; Laurie E. Cutting; Lori L. Beason-Held; Thomas A. Lasko; Bennett A. Landman (Neuroinformatics, 2022)

Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context. - Leon Yichen Cai; Ho Hin Lee; Nancy Rose Newlin; Cailey Irene Kerley; Praitayini Kanakaraj; Qi Yang 004; Graham Walter Johnson; Daniel Moyer; Kurt Gregory Schilling; Francois Rheault; Bennett A. Landman (MIDL, 2023)

Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labels. - Lucas W. Remedios; Shunxing Bao; Cailey I. Kerley; Leon Y. Cai; François Rheault; Ruining Deng; Can Cui 006; Sophie Chiron; Ken S. Lau; Joseph T. Roland; Mary K. Washington; Lori A. Coburn; et al. (Digital and Computational Pathology, 2023)

Batch size go big or go home: counterintuitive improvement in medical autoencoders with smaller batch size. - Cailey I. Kerley; Leon Y. Cai; Yucheng Tang; Lori L. Beason-Held; Susan M. Resnick; Laurie E. Cutting; Bennett A. Landman (Image Processing, 2023)

Deep whole brain segmentation of 7T structural MRI. - Karthik Ramadass; Xin Yu 010; Leon Y. Cai; Yucheng Tang; Shunxing Bao; Cailey I. Kerley; Micah D'Archangel; Laura A. Barquero; Allen T. Newton; Isabel Gauthier; Rankin W. McGugin; Benoit M. Dawant; et al. (Image Processing, 2023)