Elfar Adalsteinsson
Affiliations: | EECS | Massachusetts Institute of Technology, Cambridge, MA, United States |
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Publications
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| Arefeen Y, Xu J, Zhang M, et al. (2023) Latent signal models: Learning compact representations of signal evolution for improved time-resolved, multi-contrast MRI. Magnetic Resonance in Medicine |
| Xu J, Moyer D, Gagoski B, et al. (2023) NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI. Ieee Transactions On Medical Imaging |
| Xu J, Moyer D, Grant PE, et al. (2022) SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 13436: 3-13 |
| Vasung L, Xu J, Abaci-Turk E, et al. (2022) Cross-sectional Observational Study of Typical in-utero Fetal Movements using Machine Learning. Developmental Neuroscience |
| Singh NM, Iglesias JE, Adalsteinsson E, et al. (2022) Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis. The Journal of Machine Learning For Biomedical Imaging. 2022 |
| Xu J, Turk EA, Gagoski B, et al. (2022) Motion Analysis in Fetal MRI using Deep Pose Estimator. Proceedings of the International Society For Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society For Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 29 |
| Xu J, Zhang M, Turk E, et al. (2022) Fetal pose estimation from volumetric MRI using generative adversarial network. Proceedings of the International Society For Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society For Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 28 |
| Xu J, Turk EA, Grant PE, et al. (2021) STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12907: 197-206 |
| Zhang M, Arango N, Stockmann JP, et al. (2021) Selective RF excitation designs enabled by time-varying spatially non-linear ΔB fields with applications in fetal MRI. Magnetic Resonance in Medicine |
| Gagoski B, Xu J, Wighton P, et al. (2021) Automated detection and reacquisition of motion-degraded images in fetal HASTE imaging at 3 T. Magnetic Resonance in Medicine |