Qmetrics’ scientific and medical leadership remain active in research to stay on the cutting edge of new technologies, and Qmetrics leaders have authored many publications about advances in medical imaging and computational science.

Journal Articles and Papers with Qmetrics’ Team Authorship

• Clinical Performance of a Multiparametric MRI-based Post Concussive Syndrome Index, Meyers SP, Hirad A, Gonzalez P, Bazarian JJ, Mirabelli MH, Rizzone KH, Ma HM, Rosella P, Totterman S, Schreyer E and Tamez-Pena JG (2023) Clinical performance of a multiparametric MRI-based post concussive syndrome index. Front. Neurol. 14:1282833.

• Post-concussive mTBI in Student Athletes: MRI Features and Machine Learning, Tamez-Peña J, Rosella P, Totterman S, Schreyer E, Gonzalez P, Venkataraman A and Meyers SP (2022) Post-concussive mTBI in Student Athletes: MRI Features and Machine Learning. Front. Neurol. 12:734329.

• Magnetization-prepared rapid acquisition with gradient echo magnetic resonance imaging signal and texture features for the prediction of mild cognitive impairment to Alzheimer’s disease progression

White Papers

• The Qmetrics PCS Index

• Is it Safe to Play Again? Understanding mTBI & Post-Concussive Microtrauma

Conference Posters & Presentations

Sports Neuropsychology Society’s 10^th Annual Concussion Symposium, Dallas, Texas, USA

• MRI-based Post-Concussive Syndrome (PCS) Index: No Differences Between Athletes and Non-Athletes

NCoBC 2022, Las Vegas, Nevada, USA

• Can Screening Mammograms be used to Predict Breast Cancer Recurrence?

ASNR 2020 Annual Meeting

• Post-concussive mTBI in Student Athletes Detected by MRI: An AI/Radiomics Driven Analysis

ORS 2016 Annual Meeeting, Orlando, Florida, USA

• Performance Assessment of an Automated Segmentation System for Knee MRI Scans

OARSI World Congress – April 2016, Amsterdam, The Netherlands

• Detecting subjects at risk of radiological progression: Data from the OAI

OARSI World Congress – April 2014, Paris, France

• 3D Thickness Maps Derived From Automated Segmentation of Knee Articular Cartilage at 1.5T: A Feasibility Study Using 3D FS DESS, 3D PD FS FSE and 2D PD FS FSE
• MRI Morphological and Quantitative Evaluation of Knee Allograft Repair at 3, 6, and 9 Months Post-Op: Early Surveillance Demonstrates Nascent Physiological Incorporation of Allograft Material in Pain Free Patients
• qMRI-Based Risk Factors for Symptomatic Knee Pain: Data from the OAI
• Quantitative MRI (qMRI) Features Predict Symptomatic Knee Pain During the Next Year: Data from the OAI
• Can T2 predict who will develop ROA?: Data from the OAI
• Osteoarthritis pain prediction using X-ray features: Data from the OAI

Scientific & Medical Publications

View individual publications of Qmetrics Leaders:

Saara Totterman, MD, PhD

José G. Tamez-Peña, PhD

Joshua M. Farber, MD