McMillan, Alan B.

Deep Learning MR Imaging–based Attenuation Correction for PET/MR Imaging

Liu, F., Jang, H., Kijowski, R., Bradshaw, T., & McMillan, A. B. (2018) · Radiology

Medical Imaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Cited by 412

Technical Note: Deep learning based MRAC using rapid ultrashort echo time imaging

Jang, H., Liu, F., Zhao, G., Bradshaw, T., & McMillan, A. B. (2018) · Medical Physics

Advanced MRI Techniques and ApplicationsMedical Imaging Techniques and Applications

Cited by 60

Monitoring Fatty Liver Disease with MRI Following Bariatric Surgery: A Prospective, Dual-Center Study

Pooler, B. D., Wiens, C. N., McMillan, A., Artz, N. S., Schlein, A., Covarrubias, Y., Hooker, J., Schwimmer, J. B., Funk, L. M., Campos, G. M., et al. (2019) · Radiology

Bariatric Surgery and OutcomesLiver Disease Diagnosis and Treatment

Cited by 37

Multi-Channel Deep Neural Network For Temporal Lobe Epilepsy Classification Using Multimodal Mri Data

Torres-Velazquez, M., Hwang, G., Cook, C. J., Hermann, B., Prabhakaran, V., Meyerand, M. E., & McMillan, A. B. (2020) · 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops)

Epilepsy research and treatmentEEG and Brain-Computer Interfaces

Cited by 13