| Deep learning MR imaging–based attenuation correction for PET/MR imaging F Liu, H Jang, R Kijowski, T Bradshaw, AB McMillan Radiology 286 (2), 676-684, 2018 | 415 | 2018 |
| The frequency, complications and aetiology of ADHD in new onset paediatric epilepsy B Hermann, J Jones, K Dabbs, CA Allen, R Sheth, J Fine, A McMillan, ... Brain 130 (12), 3135-3148, 2007 | 383 | 2007 |
| Dynamic whole-body PET imaging: principles, potentials and applications A Rahmim, MA Lodge, NA Karakatsanis, VY Panin, Y Zhou, A McMillan, ... European journal of nuclear medicine and molecular imaging 46, 501-518, 2019 | 192 | 2019 |
| Design and control of a 1-DOF MRI-compatible pneumatically actuated robot with long transmission lines B Yang, UX Tan, AB McMillan, R Gullapalli, JP Desai IEEE/ASME transactions on mechatronics 16 (6), 1040-1048, 2010 | 126 | 2010 |
| A deep learning approach for 18F-FDG PET attenuation correction F Liu, H Jang, R Kijowski, G Zhao, T Bradshaw, AB McMillan EJNMMI physics 5, 1-15, 2018 | 113 | 2018 |
| Toward a meso-scale SMA-actuated MRI-compatible neurosurgical robot M Ho, AB McMillan, JM Simard, R Gullapalli, JP Desai IEEE transactions on robotics 28 (1), 213-222, 2011 | 108 | 2011 |
| Voxel-based morphometry of unilateral temporal lobe epilepsy reveals abnormalities in cerebral white matter AB McMillan, BP Hermann, SC Johnson, RR Hansen, M Seidenberg, ... Neuroimage 23 (1), 167-174, 2004 | 101 | 2004 |
| Diffusion tensor MRI to assess damage in healthy and dystrophic skeletal muscle after lengthening contractions AB McMillan, D Shi, SJP Pratt, RM Lovering BioMed Research International 2011, 2011 | 79 | 2011 |
| MR‐based treatment planning in radiation therapy using a deep learning approach F Liu, P Yadav, AM Baschnagel, AB McMillan Journal of applied clinical medical physics 20 (3), 105-114, 2019 | 74 | 2019 |
| Deep learning based MRAC using rapid ultrashort echo time imaging H Jang, F Liu, G Zhao, T Bradshaw, AB McMillan Medical physics 45 (8), 3697-3704, 2018 | 59 | 2018 |
| Comparison of sagittal T2-weighted BLADE and fast spin-echo MRI of the female pelvis for motion artifact and lesion detection BF Lane, FQ Vandermeer, RC Oz, EW Irwin, AB McMillan, ... American Journal of Roentgenology 197 (2), W307-W313, 2011 | 59 | 2011 |
| Increasing the oscillation frequency of strong magnetic fields above 101 kHz significantly raises peripheral nerve excitation thresholds IN Weinberg, PY Stepanov, ST Fricke, R Probst, M Urdaneta, D Warnow, ... Medical physics 39 (5), 2578-2583, 2012 | 54 | 2012 |
| Feasibility of deep learning–based PET/MR attenuation correction in the pelvis using only diagnostic MR images TJ Bradshaw, G Zhao, H Jang, F Liu, AB McMillan Tomography 4 (3), 138-147, 2018 | 53 | 2018 |
| Dielectric properties of 3D-printed materials for anatomy specific 3D-printed MRI coils B Behzadnezhad, BD Collick, N Behdad, AB McMillan Journal of magnetic resonance 289, 113-121, 2018 | 50 | 2018 |
| Design and implementation of a pneumatically-actuated robot for breast biopsy under continuous MRI B Yang, UX Tan, A McMillan, R Gullapalli, JP Desai 2011 IEEE international conference on robotics and automation, 674-679, 2011 | 49 | 2011 |
| Location of myofiber damage in skeletal muscle after lengthening contractions RM Lovering, AB McMillan, RP Gullapalli Muscle & Nerve: Official Journal of the American Association of …, 2009 | 47 | 2009 |
| Application and construction of deep learning networks in medical imaging M Torres-Velázquez, WJ Chen, X Li, AB McMillan IEEE transactions on radiation and plasma medical sciences 5 (2), 137-159, 2020 | 46 | 2020 |
| Ramped hybrid encoding for improved ultrashort echo time imaging H Jang, CN Wiens, AB McMillan Magnetic resonance in medicine 76 (3), 814-825, 2016 | 46 | 2016 |
| Real-time tracking and navigation system and method for minimally invasive surgical procedures AB Mcmillan, R Gullapalli, HM Richard, S Roys, JP Desai US Patent 9,326,823, 2016 | 35 | 2016 |
| Real-time tracking and navigation system and method for minimally invasive surgical procedures A McMillan, R Gullapalli, HM Richard, S Roys, J Desai US Patent US 20130296737 A1, 2013 | 35 | 2013 |
