Intrinsic connectivity between the hippocampus and posteromedial cortex predicts memory performance in cognitively intact older individuals. - Liang Wang; Peter S. LaViolette; Kelly O'Keefe; Deepti Putcha; Akram Bakkour; Koene R. A. Van Dijk; Maija Pihlajamäki; Bradford C. Dickerson; Reisa A. Sperling (NeuroImage, 2010)

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)

Longitudinal molecular trajectories of diffuse glioma in adults. - Floris P. Barthel; Kevin C. Johnson; Frederick S. Varn; Anzhela D. Moskalik; Georgette Tanner; Emre Kocakavuk; Kevin J. Anderson; Olajide Abiola; Kenneth D. Aldape; Kristin D. Alfaro; Donat Alpar; Samirkumar B. Amin; et al. (Nat., 2019)

High-resolution Controllable Prostatic Histology Synthesis using StyleGAN. - Gagandeep B. Daroach; Josiah A. Yoder; Kenneth A. Iczkowski; Peter S. LaViolette (BIOIMAGING, 2021)

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)

Prostate Cancer Histology Synthesis Using StyleGAN Latent Space Annotation. - Gagandeep B. Daroach; Savannah R. Duenweg; Michael Brehler; Allison K. Lowman; Kenneth A. Iczkowski; Kenneth M. Jacobsohn; Josiah A. Yoder; Peter S. LaViolette (MICCAI (2), 2022)

An automated approach for annotating Gleason patterns in whole-mount prostate cancer histology using deep learning. - Michael Brehler; Allison K. Lowman; Samuel Bobholz; Savannah R. Duenweg; Fitzgerald Kyereme; Cassandra Naze; John Sherman; Kenneth A. Iczkowski; Peter S. LaViolette (Digital and Computational Pathology, 2022)

Homologous point transformer for multi-modality prostate image registration. - Alexander Ruchti; Alexander Neuwirth; Allison K. Lowman; Savannah R. Duenweg; Peter S. LaViolette; John Bukowy (PeerJ Comput. Sci., 2022)

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)

On Functional Activations in Deep Neural Networks. - Andrew S. Nencka; Lutfi Tugan Muftuler; Peter S. LaViolette; Kevin M. Koch (CoRR, 2023)