MRpro - open PyTorch-based MR reconstruction and processing package | Paper Citation Record

Observation ca83e1d7-4182-40f3-8305-e21a292eac1e · outbound

This paper cites SENSE: sensitivity encoding for fast MRI.

MRpro - open PyTorch-based MR reconstruction and processing package SENSE: sensitivity encoding for fast MRI

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:38.189288Z

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Observation 0b365cd1-08d5-4d58-8719-a9e061d5307b · outbound

This paper cites Generalized autocalibrating partially parallel acquisitions (GRAPPA).

MRpro - open PyTorch-based MR reconstruction and processing package Generalized autocalibrating partially parallel acquisitions (GRAPPA)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:38.169966Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d0c20ed5-0c36-45f1-ac6d-53625330b96b · outbound

This paper cites MoDL: Model-based deep learning architecture for inverse problems.

MRpro - open PyTorch-based MR reconstruction and processing package MoDL: Model-based deep learning architecture for inverse problems

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:38.154006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ef724bf7-bc39-475b-9719-157344b6bc1f · outbound

This paper cites Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning.

MRpro - open PyTorch-based MR reconstruction and processing package Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:38.135997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 12718b4e-9cd8-4be6-b882-9a360910b138 · outbound

This paper cites End-to-end variational networks for accelerated MRI reconstruction.

MRpro - open PyTorch-based MR reconstruction and processing package End-to-end variational networks for accelerated MRI reconstruction

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:38.115481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation afadcd75-8400-437b-9abf-914a5faa3db8 · outbound

This paper cites Robust compressed sensing mri with deep generative priors.Advances in neu- ral information processing systems.

MRpro - open PyTorch-based MR reconstruction and processing package Robust compressed sensing mri with deep generative priors.Advances in neu- ral information processing systems

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:38.099498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0f9b4bbd-c07c-4eb3-94af-59b2fcb6ecde · outbound

This paper cites AI-Based Reconstruction for Fast MRI-A System- atic Review and Meta-Analysis.

MRpro - open PyTorch-based MR reconstruction and processing package AI-Based Reconstruction for Fast MRI-A System- atic Review and Meta-Analysis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:38.083006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c11ac294-d46e-4745-9425-f336e07da52d · outbound

This paper cites ISMRM Raw data format: A proposed standard for MRI raw datasets.

MRpro - open PyTorch-based MR reconstruction and processing package ISMRM Raw data format: A proposed standard for MRI raw datasets

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:38.067222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0d6954ff-01f2-4ae9-be14-36ecae43b8ff · outbound

This paper cites Gadgetron: an open source framework for medical image reconstruction.

MRpro - open PyTorch-based MR reconstruction and processing package Gadgetron: an open source framework for medical image reconstruction

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:38.050146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 070114c1-edd3-4e5b-a83f-5547c4383e88 · outbound

This paper cites Christian M., Uecker Martin.

MRpro - open PyTorch-based MR reconstruction and processing package Christian M., Uecker Martin

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:38.029682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b7246ce7-2f05-4486-9dda-9b66d624083b · outbound

This paper cites PyTorch: an imperative style, high-performance deep learning library.

MRpro - open PyTorch-based MR reconstruction and processing package PyTorch: an imperative style, high-performance deep learning library

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:38.010085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 41234658-d3fa-43f3-ad0e-5ebe8ff612c5 · outbound

This paper cites Com- piling machine learning programs via high-level tracing.

MRpro - open PyTorch-based MR reconstruction and processing package Com- piling machine learning programs via high-level tracing

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.985336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2960993b-1c54-45e9-b7c5-1ce6bb72c25d · outbound

This paper cites Pulseq: A Rapid and Hardware-Independent Pulse Sequence Pro- totyping Framework.

MRpro - open PyTorch-based MR reconstruction and processing package Pulseq: A Rapid and Hardware-Independent Pulse Sequence Pro- totyping Framework

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.966451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation db594608-0b31-4c44-ae13-db13c4c72163 · outbound

This paper cites Advances in sensitivity encoding with arbitrary k-space trajectories.

MRpro - open PyTorch-based MR reconstruction and processing package Advances in sensitivity encoding with arbitrary k-space trajectories

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.946094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 15762ad2-82b3-4204-ae32-42b553720b94 · outbound

This paper cites Parallel MR Image Reconstruction Using Augmented Lagrangian Methods.

MRpro - open PyTorch-based MR reconstruction and processing package Parallel MR Image Reconstruction Using Augmented Lagrangian Methods

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.928103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 384fbbcd-f726-4874-b87f-4dd60861d5d0 · outbound

This paper cites An iterative thresholding algorithm for linear inverse problems with a sparsity constraint.

MRpro - open PyTorch-based MR reconstruction and processing package An iterative thresholding algorithm for linear inverse problems with a sparsity constraint

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.908631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5318588-14e5-4a05-abe4-0035435ab1ec · outbound

This paper cites Sparse MRI: The application of compressed sensing for rapid MR imaging.

MRpro - open PyTorch-based MR reconstruction and processing package Sparse MRI: The application of compressed sensing for rapid MR imaging

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.892088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a8d50aa-0b1c-418d-8388-31e5669ca985 · outbound

This paper cites A first-order primal- dual algorithm for convex problems with applications to imaging.

MRpro - open PyTorch-based MR reconstruction and processing package A first-order primal- dual algorithm for convex problems with applications to imaging

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.875293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 26de2a5d-ff99-4f52-b743-1e91c58e2b9b · outbound

This paper cites Fast reduc- tion of undersampling artifacts in radial MR angiography with 3D total variation on graphics hardware.

MRpro - open PyTorch-based MR reconstruction and processing package Fast reduc- tion of undersampling artifacts in radial MR angiography with 3D total variation on graphics hardware

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.854890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 00d387c0-5407-400f-b4f3-a977c7f3c09f · outbound

This paper cites A Fast Optimal Method for Coil Sensitivity Estimation and Adaptive Coil Combination for Complex Images.

MRpro - open PyTorch-based MR reconstruction and processing package A Fast Optimal Method for Coil Sensitivity Estimation and Adaptive Coil Combination for Complex Images

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.838626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3073e658-1e44-495f-9396-a10fb4e81119 · outbound

This paper cites Adaptive reconstruction of phased array MR imagery.

MRpro - open PyTorch-based MR reconstruction and processing package Adaptive reconstruction of phased array MR imagery

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.821559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0edd5613-cab7-4469-8be1-8881e329ca0e · outbound

This paper cites A software channel compression technique for faster reconstruction with many channels.

MRpro - open PyTorch-based MR reconstruction and processing package A software channel compression technique for faster reconstruction with many channels

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.802720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 574bfccc-a847-4e29-bd56-dd865a79d42a · outbound

This paper cites U-net: Convolutional networks for biomedical image segmen- tation.

MRpro - open PyTorch-based MR reconstruction and processing package U-net: Convolutional networks for biomedical image segmen- tation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.785455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 14de4c52-ef02-4c2c-8c3b-c4f45c504c32 · outbound

This paper cites Atten- tion U-Net: Learning Where to Look for the Pancreas.

MRpro - open PyTorch-based MR reconstruction and processing package Atten- tion U-Net: Learning Where to Look for the Pancreas

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.764134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8268da25-9e83-42b5-97f9-d140a0f6b3aa · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration.

MRpro - open PyTorch-based MR reconstruction and processing package Restormer: Efficient transformer for high-resolution image restoration

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.743599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2dc49790-9221-4fe2-8f01-9790283650a2 · outbound

This paper cites Uformer: A general u-shaped transformer for image restoration.

MRpro - open PyTorch-based MR reconstruction and processing package Uformer: A general u-shaped transformer for image restoration

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.721011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5253f743-51b0-4437-8b99-e6740f26edbf · outbound

This paper cites Swinir: Image restoration using swin transformer.

MRpro - open PyTorch-based MR reconstruction and processing package Swinir: Image restoration using swin transformer

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.701399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation de38c735-6ff2-4998-be32-39db3ff85c4f · outbound

This paper cites Deep Com- pression Autoencoder for Efficient High-Resolution Diffu- sion Models.

MRpro - open PyTorch-based MR reconstruction and processing package Deep Com- pression Autoencoder for Efficient High-Resolution Diffu- sion Models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.683735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 645dbae3-3f7a-4bc7-b12b-b9d27bc4dde2 · outbound

This paper cites Scalable high-resolution pixel-space image synthesis with hourglass diffusion transformers.

MRpro - open PyTorch-based MR reconstruction and processing package Scalable high-resolution pixel-space image synthesis with hourglass diffusion transformers

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.666834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55947e4b-0782-4a50-af8c-3c5f677f023e · outbound

This paper cites FiLM: Visual reasoning with a general conditioning layer.

MRpro - open PyTorch-based MR reconstruction and processing package FiLM: Visual reasoning with a general conditioning layer

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.647172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ae51dce1-52c4-44b0-9fea-2339510c53e5 · outbound

This paper cites A Deep Cascade of Con- volutional Neural Networks for Dynamic MR Image Reconstruction.

MRpro - open PyTorch-based MR reconstruction and processing package A Deep Cascade of Con- volutional Neural Networks for Dynamic MR Image Reconstruction

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.627098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8d6e153f-d089-4625-83fa-260a79715252 · outbound

This paper cites an unresolved cited work.

MRpro - open PyTorch-based MR reconstruction and processing package Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-06T11:05:37.606457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b5887702-5bc6-4253-a7d8-d966eab70865 · outbound

This paper cites an unresolved cited work.

MRpro - open PyTorch-based MR reconstruction and processing package Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-06T11:05:37.587070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 53eecac9-035a-4022-a61e-f3a9501dca78 · outbound

This paper cites PINQI: An End-to-End Physics- Informed Approach to Learned Quantitative MRI Recon- struction.

MRpro - open PyTorch-based MR reconstruction and processing package PINQI: An End-to-End Physics- Informed Approach to Learned Quantitative MRI Recon- struction

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.568543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3efcc30d-e7ed-4864-a2c8-e987f49f6b8e · outbound

This paper cites fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.

MRpro - open PyTorch-based MR reconstruction and processing package fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T11:05:35.410937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40546a56-1e71-4b7f-bf7b-82e1f1096a04 · outbound

This paper cites Bruce, Evans Alan C., Collins D.

MRpro - open PyTorch-based MR reconstruction and processing package Bruce, Evans Alan C., Collins D

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.539568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6a50ea4f-47d4-4bad-a3a5-5f66e12f52bf · outbound

This paper cites M4Raw: A multi-contrast, multi-repetition, multi-channel MRI k- space dataset for low-field MRI research.

MRpro - open PyTorch-based MR reconstruction and processing package M4Raw: A multi-contrast, multi-repetition, multi-channel MRI k- space dataset for low-field MRI research

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.523064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 256510d3-71e8-46bc-ae11-3fd1b1c4a55f · outbound

This paper cites Multi-domain convolutional neural network (MD-CNN) for radial reconstruction of dynamic cardiac MRI.

MRpro - open PyTorch-based MR reconstruction and processing package Multi-domain convolutional neural network (MD-CNN) for radial reconstruction of dynamic cardiac MRI

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.505624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 28ab0bb0-a9c6-4858-91ff-6b6a59da7b86 · outbound

This paper cites Modified Look-Locker Inversion Recov- ery (MOLLI) for High-Resolution T 1 Mapping of the Heart.

MRpro - open PyTorch-based MR reconstruction and processing package Modified Look-Locker Inversion Recov- ery (MOLLI) for High-Resolution T 1 Mapping of the Heart

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.489330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4823183b-ee25-49dd-89ed-afa465e3e785 · outbound

This paper cites Simultaneous Mapping of Water Shift and B1 (W ASABI)-Application to Field-Inhomogeneity Correction of CEST MRI Data.

MRpro - open PyTorch-based MR reconstruction and processing package Simultaneous Mapping of Water Shift and B1 (W ASABI)-Application to Field-Inhomogeneity Correction of CEST MRI Data

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.472016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1a01d976-6ee4-4420-aa32-7beb5e2cea12 · outbound

This paper cites Extended phase graphs: Dephasing, RF pulses, and echoes - Pure and simple.Journal of Magnetic Resonance Imaging.

MRpro - open PyTorch-based MR reconstruction and processing package Extended phase graphs: Dephasing, RF pulses, and echoes - Pure and simple.Journal of Magnetic Resonance Imaging

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.452638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd52376a-afd9-448f-8808-cbf899ab7109 · outbound

This paper cites MR fingerprinting for rapid quantification of myocardial T1, T2, and proton spin density.

MRpro - open PyTorch-based MR reconstruction and processing package MR fingerprinting for rapid quantification of myocardial T1, T2, and proton spin density

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.432270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cd996e4b-5881-4daf-9ba8-93c870b98ed6 · outbound

This paper cites Open-source cardiac magnetic resonance finger- printing.

MRpro - open PyTorch-based MR reconstruction and processing package Open-source cardiac magnetic resonance finger- printing

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.405461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e67e9ba8-ca06-4dda-80b4-77bbaa9edf4c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

MRpro - open PyTorch-based MR reconstruction and processing package Adam: A Method for Stochastic Optimization

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.383678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5ead8f52-5cb1-4263-abeb-c40f45ed3fd9 · outbound

This paper cites 2D Cartesian MR raw data [dataset].

MRpro - open PyTorch-based MR reconstruction and processing package 2D Cartesian MR raw data [dataset]

Reference 45

Resolution: verified exact; doi, observed 2026-08-06T11:05:35.812384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b2621a55-aa43-4618-9438-ac7e89883185 · outbound

This paper cites Motion Artifacts in MRI: A Complex Problem with Many Par- tial Solutions.

MRpro - open PyTorch-based MR reconstruction and processing package Motion Artifacts in MRI: A Complex Problem with Many Par- tial Solutions

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:37.259899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 57d06ac3-cfb1-4d08-bb17-4d7f3ad7bd19 · outbound

This paper cites an unresolved cited work.

MRpro - open PyTorch-based MR reconstruction and processing package Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-06T11:05:37.064940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b05c6da5-dd80-43e0-9b7f-433156f85be3 · outbound

This paper cites 3D Undersampled Golden- Radial Phase Encoding for DCE-MRA Using Inherently Regularized Iterative SENSE.

MRpro - open PyTorch-based MR reconstruction and processing package 3D Undersampled Golden- Radial Phase Encoding for DCE-MRA Using Inherently Regularized Iterative SENSE

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:36.797231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b9cb9a9b-e46c-41e2-b35b-3b730dd6b44f · outbound

This paper cites Nonrigid Motion Mod- eling of the Liver From 3-D Undersampled Self-Gated Golden-Radial Phase Encoded MRI.

MRpro - open PyTorch-based MR reconstruction and processing package Nonrigid Motion Mod- eling of the Liver From 3-D Undersampled Self-Gated Golden-Radial Phase Encoded MRI

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:36.622176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation db52c731-b11c-4879-9ed5-16aaa175756b · outbound

This paper cites Free-breathing MRI of the liver [dataset].

MRpro - open PyTorch-based MR reconstruction and processing package Free-breathing MRI of the liver [dataset]

Reference 50

Resolution: verified exact; doi, observed 2026-08-06T11:05:35.794312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 152fabf3-1b1c-44de-ae8b-17df3eb2b94d · outbound

This paper cites Suppres- sion of MRI Truncation Artifacts Using Total Variation Constrained Data Extrapolation.

MRpro - open PyTorch-based MR reconstruction and processing package Suppres- sion of MRI Truncation Artifacts Using Total Variation Constrained Data Extrapolation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:36.514130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cc83e328-7234-4b88-87f3-2d8fb8c54d10 · outbound

This paper cites I., Hayes C., Hill D.

MRpro - open PyTorch-based MR reconstruction and processing package I., Hayes C., Hill D

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:36.428333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55409657-9fc3-44a6-bbf4-c02c2122cce8 · outbound

This paper cites On and beyond total variation regu- larization in imaging: the role of space variance.

MRpro - open PyTorch-based MR reconstruction and processing package On and beyond total variation regu- larization in imaging: the role of space variance

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:36.388143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f52e8b96-4a10-4205-be7e-b34320a87798 · outbound

This paper cites Learning regularization parameter-maps for varia- tional image reconstruction using deep neural networks Zimmermann et al 13 and algorithm unrolling.

MRpro - open PyTorch-based MR reconstruction and processing package Learning regularization parameter-maps for varia- tional image reconstruction using deep neural networks Zimmermann et al 13 and algorithm unrolling

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:36.349636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b6cbba7c-0ae4-4654-a3c0-f0a70b0d20b9 · outbound

This paper cites In vivo 3D brain and extremity MRI at 50 mT using a permanent mag- net Halbach array.

MRpro - open PyTorch-based MR reconstruction and processing package In vivo 3D brain and extremity MRI at 50 mT using a permanent mag- net Halbach array

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:36.310584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7db78623-46d6-4a0f-9c23-cd5b8fd8d1d6 · outbound

This paper cites Open-source magnetic resonance imaging: improving access, science, and education through global collabora- tion.

MRpro - open PyTorch-based MR reconstruction and processing package Open-source magnetic resonance imaging: improving access, science, and education through global collabora- tion

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:36.275394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b6204cbe-c90c-4e3e-8a72-3f5b2d9d61a1 · outbound

This paper cites Nexus: A Versatile Console for Advanced Low-fieldMRI.

MRpro - open PyTorch-based MR reconstruction and processing package Nexus: A Versatile Console for Advanced Low-fieldMRI

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:36.239694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e8312af8-fd0d-4685-bb8e-e79b29396b72 · outbound

This paper cites Magnetic resonance fingerprinting.

MRpro - open PyTorch-based MR reconstruction and processing package Magnetic resonance fingerprinting

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:36.208493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9222a5ec-970e-4834-b5f0-1fc369609eb1 · outbound

This paper cites A medical device-grade T1 and ECV phantom for global T1 mapping quality assurance - the T1 Mapping and ECV Standardization in cardiovascular magnetic res- onance (T1MES) program.

MRpro - open PyTorch-based MR reconstruction and processing package A medical device-grade T1 and ECV phantom for global T1 mapping quality assurance - the T1 Mapping and ECV Standardization in cardiovascular magnetic res- onance (T1MES) program

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:36.188290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8ae501da-441a-443b-8e4d-1d21857c795b · outbound

This paper cites Open-Source Cardiac MR Fingerprinting [dataset].

MRpro - open PyTorch-based MR reconstruction and processing package Open-Source Cardiac MR Fingerprinting [dataset]

Reference 60

Resolution: malformed identifier; no resolver link, observed 2026-08-06T11:05:35.566191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ca32d4a-e85e-4f99-b6c8-bf3fc80ab1f0 · outbound

This paper cites Image quality assessment: From error visibility to structural similarity.

MRpro - open PyTorch-based MR reconstruction and processing package Image quality assessment: From error visibility to structural similarity

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:36.158829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7b46522f-f207-42e5-bf39-8ca9ed5661cd · outbound

This paper cites Operator Dis- cretization Library (ODL).

MRpro - open PyTorch-based MR reconstruction and processing package Operator Dis- cretization Library (ODL)

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:36.139164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8b5a6baf-0c0a-49d0-a39b-16580cd5ba11 · outbound

This paper cites DeepInverse: A Python package for solving imaging inverse problems with deep learning.

MRpro - open PyTorch-based MR reconstruction and processing package DeepInverse: A Python package for solving imaging inverse problems with deep learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T11:05:35.585198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed0fe98c-5d44-402f-916a-bebc73cfde7b · outbound

This paper cites SigPy: A Python Pack- age for High-Performance Iterative Reconstruction.

MRpro - open PyTorch-based MR reconstruction and processing package SigPy: A Python Pack- age for High-Performance Iterative Reconstruction

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:36.112945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c089db9d-60cb-47b3-ba7e-528ec974b2ec · outbound

This paper cites DIRECT: Deep Image REConstruction Toolkit.

MRpro - open PyTorch-based MR reconstruction and processing package DIRECT: Deep Image REConstruction Toolkit

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:36.087467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 70717c4f-9135-4201-9815-52e4629325b9 · outbound

This paper cites Jorge, Li Wenqi, Brown Richard, et al.

MRpro - open PyTorch-based MR reconstruction and processing package Jorge, Li Wenqi, Brown Richard, et al

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:36.064498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3788cbbb-d85c-4180-812d-43aa62af9a77 · outbound

This paper cites Generative AI for Medical Imaging: extending the MONAI Framework.

MRpro - open PyTorch-based MR reconstruction and processing package Generative AI for Medical Imaging: extending the MONAI Framework

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T11:05:35.612301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c43d567d-b679-478d-9d46-f129bf977e69 · outbound

This paper cites TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning.

MRpro - open PyTorch-based MR reconstruction and processing package TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:36.041513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f63986ea-2706-4f5a-b376-d0341d1d56d6 · outbound

This paper cites PyQMRI: An accelerated Python based Quantitative MRI toolbox.

MRpro - open PyTorch-based MR reconstruction and processing package PyQMRI: An accelerated Python based Quantitative MRI toolbox

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:36.010297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bfde41ef-eb7a-4198-8dfa-a02d028328ad · outbound

This paper cites qMRLab: Quantitative MRI analysis, under one umbrella.

MRpro - open PyTorch-based MR reconstruction and processing package qMRLab: Quantitative MRI analysis, under one umbrella

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:35.988083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5a0ea0f-0840-49f4-8888-4ea1af00570a · outbound

This paper cites MRI acquisition and reconstruction cookbook: recipes for reproducibil- ity, served with real-world flavour.

MRpro - open PyTorch-based MR reconstruction and processing package MRI acquisition and reconstruction cookbook: recipes for reproducibil- ity, served with real-world flavour

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:35.969597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b2439b55-0006-4e11-92ac-da131e015d3e · outbound

This paper cites Quantitative Study Group: T1 [dataset].

MRpro - open PyTorch-based MR reconstruction and processing package Quantitative Study Group: T1 [dataset]

Reference 72

Resolution: verified exact; doi, observed 2026-08-06T11:05:35.755182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c4d59a5e-1015-4b43-88ba-0e5196aa58d4 · outbound

This paper cites Quantitative Study Group: T2* [dataset].

MRpro - open PyTorch-based MR reconstruction and processing package Quantitative Study Group: T2* [dataset]

Reference 73

Resolution: verified exact; doi, observed 2026-08-06T11:05:35.730773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d8c3b232-405d-4f60-abd3-ac5fe58132e3 · outbound

This paper cites MRzero - Automated discovery of MRI sequences using supervised learning.

MRpro - open PyTorch-based MR reconstruction and processing package MRzero - Automated discovery of MRI sequences using supervised learning

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:35.944193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bc500cde-a7c2-4413-a955-f54923f2da33 · outbound

This paper cites TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.

MRpro - open PyTorch-based MR reconstruction and processing package TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T11:05:35.679238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbaa3c68-311a-49d1-9f40-31d435c4efe3 · outbound

This paper cites ESPIRiT-an Eigenvalue Approach to Autocalibrating Parallel MRI: Where SENSE Meets GRAPPA..Magnetic Resonance Imaging.

MRpro - open PyTorch-based MR reconstruction and processing package ESPIRiT-an Eigenvalue Approach to Autocalibrating Parallel MRI: Where SENSE Meets GRAPPA..Magnetic Resonance Imaging

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:35.925283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Outbound references

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