Lawrence Staib

Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities

J. Mongan, M. Aboian, I. Ikuta, 2022, Cancers.

Prediction of Adverse Pathology at Radical Prostatectomy in Grade Group 2 and 3 Prostate Biopsies Using Machine Learning.

John A. Onofrey, P. Humphrey, T. Zeevi, 2022, JCO clinical cancer informatics.

Machine-Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study.

M. Weber, D. Madoff, J. Chapiro, 2022, AJR. American journal of roentgenology.

Decreased benzodiazepine receptor binding in prefrontal cortex in combat-related posttraumatic stress disorder.

S. Southwick, L. Staib, D. Charney, 2000, The American journal of psychiatry.

Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning

John A. Onofrey, J. Chapiro, Mohamed G. Elbanan, 2023, Scientific reports.

Kinetic modeling of benzodiazepine receptor binding with PET and high specific activity [11C]Iomazenil in healthy human subjects

L H Staib, D. Charney, R. Baldwin, 2000, Synapse.