Whole slide imaging (WSI) scanner differences influence optical and computed properties of digitized prostate cancer histologySavannah Duenweg, Peter S. LaViolette, Samuel Bobholz et al.|Journal of Pathology Informatics|2023Cited by 34
Comparison of a machine and deep learning model for automated tumor annotation on digitized whole slide prostate cancer histologySavannah Duenweg, Peter S. LaViolette, Allison Lowman et al.|PLoS ONE|2023Cited by 13
Quantitative Histomorphometric Features of Prostate Cancer Predict Patients Who Biochemically Recur Following ProstatectomySavannah Duenweg, Peter S. LaViolette, Michael Brehler et al.|Laboratory Investigation|2023Cited by 6
Diffusion Restriction Comparison between Gleason 4 Fused Glands and Cribriform Glands within Patient Using Whole-Mount Prostate Pathology as Ground TruthSavannah Duenweg, Peter S. LaViolette, Xi Fang et al.|Tomography|2022Cited by 5
An automated approach for annotating Gleason patterns in whole-mount prostate cancer histology using deep learningMichael Brehler, Peter S. LaViolette, Allison Lowman et al.|Unknown|2022Cited by 2