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eess.IV2025
DeepInverse: A Python package for solving imaging inverse problems with deep learning
Julián Tachella, Matthieu Terris, Samuel Hurault +24
DeepInverse is an open-source PyTorch-based library for solving imaging inverse problems. The library covers all crucial steps in image reconstruction from the efficient implementa…
eess.IV2025
Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction
Andrew Wang, Steven McDonagh, Mike Davies
Reconstructing MRI from highly undersampled measurements is crucial for accelerating medical imaging, but is challenging due to the ill-posedness of the inverse problem. While supe…
eess.IV2024★ 1 cited
Fully Unsupervised Dynamic MRI Reconstruction via Diffeo-Temporal Equivariance
Andrew Wang, Mike Davies
Reconstructing dynamic MRI image sequences from undersampled accelerated measurements is crucial for faster and higher spatiotemporal resolution real-time imaging of cardiac motion…