DeepNeuro: an open-source deep learning toolbox for neuroimaging. - Andrew Beers; James M. Brown 001; Ken Chang; Katharina Hoebel; Jay B. Patel; K. Ina Ly; Sara M. Tolaney; Priscilla K. Brastianos; Bruce R. Rosen; Elizabeth R. Gerstner; Jayashree Kalpathy-Cramer (Neuroinformatics, 2021)

Is this good enough? On expert perception of brain tumor segmentation quality. - Katharina Hoebel; Christopher P. Bridge; Sara Ahmed; Oluwatosin Akintola; Caroline Chung; Raymond Y. Huang; Jason Johnson; Albert E. Kim; K. Ina Ly; Ken Chang; Jay B. Patel; Marco Pinho; et al. (Image Perception, Observer Performance, and Technology Assessment, 2022)

DINs: Deep Interactive Networks for Neurofibroma Segmentation in Neurofibromatosis Type 1 on Whole-Body MRI. - Jian-Wei Zhang 015; Wei Chen 001; K. Ina Ly; Xubin Zhang; Fan Yan; Justin Jordan; Gordon J. Harris; Scott Plotkin; Pengyi Hao; Wenli Cai (IEEE J. Biomed. Health Informatics, 2022)

A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging. - Jay B. Patel; Syed Rakin Ahmed; Ken Chang; Praveer Singh; Mishka Gidwani; Katharina Hoebel; Albert E. Kim; Christopher P. Bridge; Chung-Jen Teng; Xiaomei Li; Gongwen Xu; Megan McDonald; et al. (MLHC, 2023)