• View all publications on ResearchGate

Selected Publications:

• Hewlett M., Petrov I., Johnson P., Drangova M. (2024). Deep learning-based motion correction using multichannel MRI data: A study using simulated artifacts in the fastMRI dataset. NMR in Biomedicine, under review.
• Corcoran P., Petrov I. (2024). Exploring the processes that will lead to more efficient characterization of microplastic particles. ECCC-HC Microplastics Workshop.
• Burkhart T.A., Hoshino B., Blokker A., Batty L. (2021). No difference in ligamentous strain or knee kinematics between rectangular or cylindrical femoral tunnels during anatomic anterior cruciate ligament reconstruction with a bone-patellar tendon-bone graft. Orthopaedic Journal of Sports Medicine.
• Baha P., Burkhart T.A., Blokker A., Degen R.M. (2021). Evaluation of Regional Strains within the Hip Capsular Ligaments. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine.
• Petrov I., Hewlett M., Drangova M. (2021). Deep Learning-Based Rigid-Body Motion Correction in MRI using Multichannel Data. ISMRM.
• Petrov I., Hewlett M., Drangova M. (2021). Deep learning model for motion correction of MRI images using small training sets. IMNO.
• Hewlett M., Petrov I., Drangova M. (2021). Deep Learning for Motion Correction using Multichannel MRI Data. IMNO.
• Hewlett M., Petrov I., Drangova M. (2020). Motion Correction in MRI using a Generative Adversarial Network: An Evaluation with the Fast MRI Dataset. LHRD.
• Nestorov I., Hadjitodorov St., Petrov I., Rowland M. (1999). Empirical versus mechanistic modeling: comparison of an artificial neural network to a mechanistically based model for quantitative structure of pharmacokinetic relationships of a homologous series of barbiturates. AAPS, 1(3).