Jonathan I. Tamir
Orcid: 0000-0001-9113-9566
According to our database1,
Jonathan I. Tamir
authored at least 44 papers
between 2012 and 2024.
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Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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Bibliography
2024
SIAM J. Imaging Sci., March, 2024
IEEE Trans. Aerosp. Electron. Syst., February, 2024
Enhancing Deep Learning-Driven Multi-Coil MRI Reconstruction via Self-Supervised Denoising.
CoRR, 2024
INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D accelerated MRI reconstruction.
CoRR, 2024
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted Data.
CoRR, 2024
Institute for Foundations of Machine Learning (IFML): Advancing AI systems that will transform our world.
AI Mag., 2024
2023
IEEE Trans. Wirel. Commun., June, 2023
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models.
CoRR, 2023
Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space.
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
2022
EURASIP J. Wirel. Commun. Netw., 2022
CoRR, 2022
Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning.
CoRR, 2022
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Subtle Inverse Crimes: Naïvely training machine learning algorithms could lead to overly-optimistic results.
CoRR, 2021
High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss.
CoRR, 2021
eRAKI: Fast Robust Artificial neural networks for K-space Interpolation (RAKI) with Coil Combination and Joint Reconstruction.
CoRR, 2021
Scan Specific Artifact Reduction in K-space (SPARK) Neural Networks Synergize with Physics-based Reconstruction to Accelerate MRI.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
IEEE Trans. Computational Imaging, 2020
Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging.
IEEE Signal Process. Mag., 2020
2019
Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019
2018
PhD thesis, 2018
Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging.
CoRR, 2018
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018
2015
2014
Proceedings of the IEEE International Conference on Communications, 2014
2012
Proceedings of the 2012 IEEE Wireless Communications and Networking Conference, 2012
Cellular broadband millimeter wave propagation and angle of arrival for adaptive beam steering systems (invited paper).
Proceedings of the 2012 IEEE Radio and Wireless Symposium, 2012
Proceedings of the Optical Supercomputing - 4th International Workshop, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012