Dr. McMillan, along with Associate Professor Vivek Prabhakaran were awarded an R01 from the National Institute of Neurological Disorders and Stroke. The title of the project is “PET/MR Correlates of Accelerated Aging in Chronic Epilepsy.”
New Paper Published on Simultaneous Cardiac PET/MR
Dr. Alan McMillan was a co-author on a new paper published in the Journal of Clinical Medicine entitled ‘Dynamic FDG PET Imaging to Probe for Cardiac Metabolic Remodeling in Adults Born Premature’ that studies simultaneous …
New Paper Published on Simultaneous Breast PET/MR
MIMRTL team members Dr. Samuel Hurley and Dr. Alan McMillan were co-authors on a new paper in Radiology: Cancer Imaging entitled ‘Measuring Glucose Uptake in Primary Invasive Breast Cancer Using Simultaneous Time-of-Flight Breast PET/MRI: A …
New Paper Published on CT Synthesis from MRI using Deep Learning
MIMRTL team members Haley Massa and Dr. Alan McMillan published a new paper in Physics in Medicine and Biology entitled ‘Comparison of deep learning synthesis of synthetic CTs using clinical MRI inputs’ that studies the …
New Paper Published on Lightweight MRI Coils for Improved PET Quality in Simultaneous PET/MR
MIMRTL team members Nick Mathew, Dr. Samuel Hurley, and Dr. Alan McMillan published a new paper in Radiology entitled ‘PET Image Quality Improvement for Simultaneous PET/MRI with a Lightweight MRI Surface Coil’ that demonstrates improved …
New Review Paper Published on the Application and Construction of Deep Learning Networks
MIMRTL team members Maribel Torres-Velazquez, Wei-Jie Chen, Xue Li, and Dr. Alan McMillan published a new paper in IEEE Transactions on Radiation and Plasma Medical Sciences entitled ‘Application and construction of deep learning networks in …
New Paper Published on Rapid MRI Coil Development
MIMRTL team members Dr. Bruce Collick, Dr. Bahareh Bezhadnezhad, Dr. Samuel Hurley, and Dr. Alan McMillan published a new paper in Physics in Medicine and Biology entitled ‘Rapid development of application-specific flexible MRI receive coils’ …
Dr. McMillan writes editorial for the journal Radiology on continuous learning in artificial intelligence for medical imaging
Dr. McMillan from MIMRTL recently wrote an editorial for the journal Radiology, entitled “Making Your AI Smarter: Continuous Learning Artificial Intelligence for Radiology.” Continuous learning is strategy that allows models to evolve and improve over …
Dr. McMillan Receives NSF Grant
Dr. McMillan is co-PI on a new NSF award, from the division Electrical, Communications and Cyber Systems, with Professor Nader Behdad, PhD (PI, Department of Electrical and Computer Engineering). The title of the award is …
New NIH R01 for Robust Deep Learning in Medical Imaging!
Dr. McMillan, along with Associate Professor Po-Ling Loh, PhD (Statistics) and Assistant Professor Varun Jog, PhD (Electrical and Computer Engineering) were awarded an R01 from the National Library of Medicine. The title of the project …