Automated subdural hematoma segmentation for traumatic brain injured (TBI) patients. - Negar Farzaneh; S. M. Reza Soroushmehr; Craig A. Williamson; Cheng Jiang 003; Ashok Srinivasan; Jayapalli R. Bapuraj; Kevin R. Ward; Frederick K. Korley; Kayvan Najarian (EMBC, 2017)

Automatic Midline Shift Detection in Traumatic Brain Injury. - Mohsen Hooshmand; S. M. Reza Soroushmehr; Craig A. Williamson; Jonathan Gryak; Kayvan Najarian (EMBC, 2018)

Hematoma Segmentation Using Dilated Convolutional Neural Network. - Heming Yao; Craig A. Williamson; S. M. Reza Soroushmehr; Jonathan Gryak; Kayvan Najarian (EMBC, 2018)

Midline Shift vs. Mid-Surface Shift: Correlation with Outcome of Traumatic Brain Injuries. - Cheng Jiang 003; Jie Cao 015; Craig A. Williamson; Negar Farzaneh; Venkatakrishna Rajajee; Jonathan Gryak; Kayvan Najarian; S. M. Reza Soroushmehr (BIBM, 2019)

Automated Optic Nerve Sheath Diameter Measurement Using Super-pixel Analysis. - S. M. Reza Soroushmehr; Krishna Rajajee; Craig A. Williamson; Jonathan Gryak; Kayvan Najarian; Kevin Ward; Mohamad Hakam Tiba (EMBC, 2019)

Brain Hematoma Segmentation Using Active Learning and an Active Contour Model. - Heming Yao; Craig A. Williamson; Jonathan Gryak; Kayvan Najarian (IWBBIO (2), 2019)

Automated hematoma segmentation and outcome prediction for patients with traumatic brain injury. - Heming Yao; Craig A. Williamson; Jonathan Gryak; Kayvan Najarian (Artif. Intell. Medicine, 2020)

A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication. - Negar Farzaneh; Craig A. Williamson; Jonathan Gryak; Kayvan Najarian (npj Digit. Medicine, 2021)

An interpretable neural network for outcome prediction in traumatic brain injury. - Cristian Minoccheri; Craig A. Williamson; Mark Hemmila; Kevin Ward; Erica B. Stein; Jonathan Gryak; Kayvan Najarian (BMC Medical Informatics Decis. Mak., 2022)