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Melissa W. Haskell
Melissa W. Haskell
Senior Scientist at Hyperfine
Bestätigte E-Mail-Adresse bei hyperfine.io
Titel
Zitiert von
Zitiert von
Jahr
Design of sparse Halbach magnet arrays for portable MRI using a genetic algorithm
CZ Cooley, MW Haskell, SF Cauley, C Sappo, CD Lapierre, CG Ha, ...
IEEE transactions on magnetics 54 (1), 1-12, 2017
1482017
Network accelerated motion estimation and reduction (NAMER): convolutional neural network guided retrospective motion correction using a separable motion model
MW Haskell, SF Cauley, B Bilgic, J Hossbach, DN Splitthoff, J Pfeuffer, ...
Magnetic resonance in medicine 82 (4), 1452-1461, 2019
1132019
TArgeted Motion Estimation and Reduction (TAMER): data consistency based motion mitigation for MRI using a reduced model joint optimization
MW Haskell, SF Cauley, LL Wald
IEEE transactions on medical imaging 37 (5), 1253-1265, 2018
732018
Motion‐robust sub‐millimeter isotropic diffusion imaging through motion corrected generalized slice dithered enhanced resolution (MC‐gSlider) acquisition
F Wang, B Bilgic, Z Dong, MK Manhard, N Ohringer, B Zhao, M Haskell, ...
Magnetic resonance in medicine 80 (5), 1891-1906, 2018
352018
Off‐resonance artifact correction for MRI: A review
MW Haskell, JF Nielsen, DC Noll
NMR in Biomedicine 36 (5), e4867, 2023
162023
Combining MR physics and machine learning to tackle intractable problems
B Bilgic, SF Cauley, I Chatnuntawech, MK Manhard, F Wang, M Haskell, ...
Proceedings of the 26th Annual Meeting ISMRM, 2018
82018
TArgeted Motion Estimation and Reduction (TAMER): Data consistency based motion mitigation using a reduced model joint optimization
M Haskell, S Cauley, LL Wald
Proceedings of the 24th Annual Meeting ISMRM, 1849, 2016
72016
FieldMapNet MRI: Learning-based mapping from single echo time BOLD fMRI data to fieldmaps with model-based reconstruction
MW Haskell, A Lahiri, JF Nielsen, JA Fessler, DC Noll
Proceedings of the 31rst ISMRM, 2022
32022
Deep Neural Networks for Motion Estimation in k-space: Applications and Design
J Hossbach, D Splitthoff, M Haskell, S Cauley, H Meyer, J Pfeuffer, ...
Proceedings of the Joint Annual Meeting ISMRM-ESMRMB, 4851, 2019
32019
Systems and methods for joint image reconstruction and motion estimation in magnetic resonance imaging
S Cauley, M Haskell, LL Wald
US Patent 10,909,732, 2021
22021
Retrospective motion correction of head rotations in 2D RARE brain images using TArgeted Motion Estimation and Reduction (TAMER)
MW Haskell, SF Cauley, LL Wald
Proceedings of the 25th Annual Meeting of ISMRM, Honolulu, HI 1305, 2017
22017
Quantifying myelin water exchange using optimized bSSFP sequences
N Murthy, JF Nielsen, ST Whitaker, MW Haskell, SD Swanson, ...
Proc. Intl. Soc. Mag. Res. Med, 2068, 2022
12022
Estimating B 0 changes in Oscillating Steady State Imaging (OSSI) using an Artificial Neural Network
M Salifu, M Haskell, D Noll
ISMRM, 2022
12022
Deep learning field map estimation with model-based image reconstruction for off resonance correction of brain images using a spiral acquisition
MW Haskell, AA Cao, DC Noll, JA Fessler
12020
Portable Magnet Design Optimization for Brain Imaging without Gradient Coils
CZ Cooley, M Haskell, JP Stockmann, C Lapierre, C Schatzki-McClain, ...
Proc. of the ISMRM, Singapore, 3556, 2016
12016
Retrospective motion correction using a combined neural network and model-based image reconstruction of magnetic resonance data
S Cauley, M Haskell, L Wald
US Patent 11,948,311, 2024
2024
Computer implemented method and system for magnetic resonance imaging
DN Splitthoff, J Hossbach, J Pfeuffer, SF Cauley, M Haskell
US Patent 11,187,769, 2021
2021
Retrospective Motion Correction for Magnetic Resonance Imaging
MW Haskell
Harvard University, 2019
2019
FieldMapNet MRI: Learning-based mapping from single echo time BOLD fMRI data to êeldmaps with model-based image reconstruction
MW Haskell, A Lahiri, JF Nielsen, JA Fessler, DC Noll
Assessing the Role of Deep Learning in Joint Motion and Image Estimation
B Nghiem, Z Wu, M Haskell, L Kasper, K Uludag
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