| Confusing placebo effect with natural history in epilepsy: A big data approach DM Goldenholz, R Moss, J Scott, S Auh, WH Theodore Annals of neurology 78 (3), 329-336, 2015 | 63 | 2015 |
| Artificial neural networks for magnetic resonance elastography stiffness estimation in inhomogeneous materials JM Scott, A Arani, A Manduca, KP McGee, JD Trzasko, J Huston III, ... Medical Image Analysis 63, 101710, 2020 | 26 | 2020 |
| Impact of material homogeneity assumption on cortical stiffness estimates by MR elastography JM Scott, KD Pavuluri, JD Trzasko, A Manduca, ML Senjem, J Huston III, ... Magnetic resonance in medicine 88 (2), 916-929, 2022 | 9 | 2022 |
| Fast Brain MR Elastography Using a Simultaneous Multislice EPI Acquisition on a Compact 3T Scanner Y Sui, Z Yin, P Rossman, M Murphy, JD Trzasko, J Scott, K Glaser, ... Proc. Intl. Soc. Mag. Reson. Med 27, 2019 | 6 | 2019 |
| Localization of interictal epileptic spikes with MEG: optimization of an automated beamformer screening method (SAMepi) in a diverse epilepsy population JM Scott, SE Robinson, T Holroyd, R Coppola, S Sato, SK Inati Journal of Clinical Neurophysiology 33 (5), 414-420, 2016 | 6 | 2016 |
| Differential effect of dementia etiology on cortical stiffness as assessed by MR elastography KD Pavuluri, JM Scott, J Huston III, RL Ehman, A Manduca, CR Jack Jr, ... NeuroImage: Clinical 37, 103328, 2023 | 5 | 2023 |
| Estimating Inclusion Stiffness with Artificial Neural Networks in Magnetic Resonance Elastography JM Scott, MC Murphy, A Arani, CG Schwarz, A Manduca, J Huston III, ... International Society for Magnetic Resonance in Medicine 3496, 2018 | 1 | 2018 |
| Inhomogeneous Neural Network Inversion (NNI_inh) for stiffness estimation in Magnetic Resonance Elastography JM Scott, A Arani, A Manduca, J Huston III, RL Ehman, MC Matthew Proc. Intl. Soc. Mag. Reson. Med, 0 | 1 | |
| Systems, methods, and media for estimating a mechanical property based on a transformation of magnetic resonance elastography data using a trained artificial neural network MC Murphy, JD Trzasko, RL Ehman, J Huston III, A Manduca, JM Scott US Patent 12,019,133, 2024 | | 2024 |
| Methods for estimating mechanical properties from magnetic resonance elastography data using artificial neural networks MC Murphy, RL Ehman, KJ Glaser, JD Trzasko, A Manduca, J Huston III, ... US Patent 11,543,481, 2023 | | 2023 |
| A Machine Learning Inversion Framework for Brain Magnetic Resonance Elastography JM Scott College of Medicine-Mayo Clinic, 2023 | | 2023 |
| Measuring the Effects of Age and Sex on Brain Stiffness in Cortical Regions of Interest with Magnetic Resonance Elastography JM Scott, JD Trzasko, KD Pavuluri, A Manduca, J Huston III, RL Ehman, ... AMachine LEARNING INVERSION FRAMEWORK FOR BRAIN MAGNETIC RESONANCE …, 2021 | | 2021 |
| Simulating Wave Data: Coupled Harmonic Oscillators and Finite Difference Methods JM Scott, A Arani, JD Trzasko, A Manduca, MC Murphy AMachine LEARNING INVERSION FRAMEWORK FOR BRAIN MAGNETIC RESONANCE …, 2021 | | 2021 |
| Differential Changes in Brain Viscoelastic Properties Observed with MR Elastography in MS and NMOSDs L Fang, MC Murphy, Q Luo, X Chen, L Zhang, B He, J Chen, JM Scott, ... | | |
| A Learned Phase Correction Algorithm Outperforms a Conventional Filter for 3D Vector MRE JM Trevathan, JM Scott, JD Trzasko, A Manduca, J Huston, RL Ehman, ... | | |
| Initial Evaluation of a Transverse Isotropic Finite Difference Model for Training Learned Inversion J Trevathan, J Scott, J Trzasko, A Manduca, J Huston, R Ehman, ... | | |
| Effect of Spatial Inhomogeneity Models on Performance of Machine Learning Based Inversion Algorithms for Brain Magnetic Resonance Elastography JM Scott, JD Trzasko, A Manduca, ML Senjem, CR Jack, J Huston III, ... | | |
| Artificial neural networks for numerical differentiation with application to magnetic resonance elastography MC Murphy, JD Trzasko, JM Scott, A Manduca, J Huston III, RL Ehman | | |
| Preliminary application of Three-Dimensional Multifrequency MR Elastography for Chronic Kidney Disease S Pi, JM Scott, Y Li, H Peng, H Wen, MC Murphy, J Chen, M Yin, J Chen, ... | | |
| Improved Depiction of Meningioma Boundaries in MR Elastography Using a Novel Inhomogeneous Learned Inversion JM Scott, A Arani, A Manduca, JD Trzasko, J Huston III, RL Ehman, ... | | |
Matthew Murphymayo在 mayo.edu 的电子邮件经过验证
Matthew Murphymayo在 mayo.edu 的电子邮件经过验证
Arvin AraniAssistant Professor of Radiology, Mayo Clinic在 mayo.edu 的电子邮件经过验证