Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis. - Brendon Lutnick; Brandon Ginley; Darshana Govind; Sean D. McGarry; Peter S. LaViolette; Rabi Yacoub; Sanjay Jain 006; John Tomaszewski 001; Kuang-Yu Jen; Pinaki Sarder (CoRR, 2018)

Classification before Segmentation: Improved U-Net Prostate Segmentation. - Ronald J. Nowling; John Bukowy; Sean D. McGarry; Andrew S. Nencka; Oliver Blasko; Jay Urbain; Allison K. Lowman; Alexander Barrington; Anjishnu Banerjee; Kenneth A. Iczkowski; Peter S. LaViolette (BHI, 2019)

An integrated iterative annotation technique for easing neural network training in medical image analysis. - Brendon Lutnick; Brandon Ginley; Darshana Govind; Sean D. McGarry; Peter S. LaViolette; Rabi Yacoub; Sanjay Jain 006; John Tomaszewski 001; Kuang-Yu Jen; Pinaki Sarder (Nat. Mach. Intell., 2019)

Co-registration tool for large format whole mount prostate multi-plex histology. - Michael Brehler; Allison K. Lowman; Samuel Bobholz; Sean D. McGarry; Anjishnu Banerjee; Kenneth A. Iczkowski; Peter S. LaViolette (Digital Pathology, 2021)

Quantitative analysis of Alzheimer's disease pathology in glioblastoma patients. - Michael Brehler; Allison K. Lowman; Samuel Bobholz; Sean D. McGarry; Jennifer Connelly; Elizabeth J. Cochran; Peter S. LaViolette (Digital Pathology, 2021)

Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma. - Marwa Ismail; Prateek Prasanna; Kaustav Bera; Volodymyr Statsevych; Virginia B. Hill; Gagandeep Singh; Sasan Partovi; Niha G. Beig; Sean D. McGarry; Peter S. LaViolette; Manmeet Ahluwalia; Anant Madabhushi; et al. (IEEE Trans. Medical Imaging, 2022)