Matthew J Nyflot

Quantitative radiomics: impact of stochastic effects on textural feature analysis implies the need for standards

Fei Yang, Darrin Byrd, Paul E Kinahan, 2015, Journal of medical imaging.

Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features

Antonio Criminisi, David Carter, Mark Phillips, 2018, Physics in medicine and biology.

Error Detection in Intensity-Modulated Radiation Therapy Quality Assurance Using Radiomic Analysis of Gamma Distributions.

W Art Chaovalitwongse, Matthew J Nyflot, Eric Ford, 2018, International journal of radiation oncology, biology, physics.

Targeting safety improvements through identification of incident origination and detection in a near-miss incident learning system.

Eric C Ford, Jing Zeng, Patricia A Sponseller, 2016, Medical physics.

Deep learning for patient‐specific quality assurance: Identifying errors in radiotherapy delivery by radiomic analysis of gamma images with convolutional neural networks

Eric C Ford, W Art Chaovalitwongse, Phawis Thammasorn, 2019, Medical physics.

Challenges and opportunities in patient-specific, motion-managed and PET/CT-guided radiation therapy of lung cancer: review and perspective

Paul E Kinahan, Stephen R Bowen, George A Sandison, 2012, Clinical and Translational Medicine.

Impact of CT attenuation correction method on quantitative respiratory-correlated (4D) PET/CT imaging.

Paul E Kinahan, Scott D Wollenweber, Adam M Alessio, 2014, Medical physics.