Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects | Paper Citation Record

Observation be3a34ad-f53d-466e-abf7-4ddc734e2c06 · outbound

This paper cites Low -cost and portable MRI,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Low -cost and portable MRI,

Reference 1

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Observation d84605d8-c3a8-4077-9785-0ec7b651a3de · outbound

This paper cites Low -field MRI: Clinical promise and challenges,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Low -field MRI: Clinical promise and challenges,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.202186Z

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Observation 215650e1-c377-472d-8363-2e33304fbead · outbound

This paper cites Undisclosed and undetected foreign bodies during MRI screening resulting in a potentially serious outcome,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Undisclosed and undetected foreign bodies during MRI screening resulting in a potentially serious outcome,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.207374Z

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Observation 4fb3b26b-47c2-4e70-b6a9-ca918ad30e15 · outbound

This paper cites Portable, bedside, low -field magnetic resonance imaging for evaluation of intracerebral hemorrhage,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Portable, bedside, low -field magnetic resonance imaging for evaluation of intracerebral hemorrhage,

Reference 4

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This paper cites The rise and efficiency of low field portable MRI scanners,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects The rise and efficiency of low field portable MRI scanners,

Reference 5

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This paper cites Current role of portable MRI in diagnosis of acute neurological conditions,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Current role of portable MRI in diagnosis of acute neurological conditions,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.220681Z

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This paper cites Hyperfine swoop portable MRI,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Hyperfine swoop portable MRI,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.225684Z

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This paper cites Qhs student helps make neurological mri testing accessible to remote communities,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Qhs student helps make neurological mri testing accessible to remote communities,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.229951Z

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Observation ef1ad755-bf63-4db3-9e10-5fb8e4b615f2 · outbound

This paper cites Design and test of an open portable MRI system,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Design and test of an open portable MRI system,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.234226Z

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Observation 3640072e-1daa-4b12-857a-acd31caa58e2 · outbound

This paper cites A wrist MRI for the International Space Station,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects A wrist MRI for the International Space Station,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.238311Z

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This paper cites Rescue equipment should include portable medical imaging systems,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Rescue equipment should include portable medical imaging systems,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.242587Z

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Observation 161c1527-8bd5-4242-a7c6-ccb5d6f4a045 · outbound

This paper cites Pushing the limits of low -cost ultra -low-field MRI by dual - acquisition deep learning 3d super resolution,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Pushing the limits of low -cost ultra -low-field MRI by dual - acquisition deep learning 3d super resolution,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.246761Z

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This paper cites Suitability of recent hardware accelerators (DSPs, FPGAs, andGPUs) for computer vision and image processing algorithms,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Suitability of recent hardware accelerators (DSPs, FPGAs, andGPUs) for computer vision and image processing algorithms,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.250916Z

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This paper cites A survey of GPU-based acceleration techniques in MRI reconstructions,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects A survey of GPU-based acceleration techniques in MRI reconstructions,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.255014Z

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This paper cites FPGA-based hardware accelerator for sense (a parallel MR image reconstruction method),.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects FPGA-based hardware accelerator for sense (a parallel MR image reconstruction method),

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.259341Z

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Observation 0e4e6c46-319a-40e0-921b-f4db6bb7ac91 · outbound

This paper cites Accelerating grappa reconstruction using soc design for real -time cardiac MRI,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Accelerating grappa reconstruction using soc design for real -time cardiac MRI,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.263538Z

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This paper cites New challenges and opportunities for low-field MRI,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects New challenges and opportunities for low-field MRI,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.267882Z

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Observation aac60460-af26-4fbe-beab-0001dc74f201 · outbound

This paper cites Publisher correction: Brain imaging with portable low -field MRI,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Publisher correction: Brain imaging with portable low -field MRI,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.272143Z

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Observation defced90-6200-4f82-9919-c14a11c3c9bb · outbound

This paper cites Applications, limitations and advancements of ultra -low-field magnetic resonance imaging: A scoping review,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Applications, limitations and advancements of ultra -low-field magnetic resonance imaging: A scoping review,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.276610Z

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Observation fb18eaf9-6e9d-46a7-af60-2ffdbcae09e3 · outbound

This paper cites Prepolarized magnetic resonance imaging around metal orthopedic implants,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Prepolarized magnetic resonance imaging around metal orthopedic implants,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.280844Z

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This paper cites Basic principles of magnetic resonance imaging,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Basic principles of magnetic resonance imaging,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.285696Z

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Observation 78e87aac-85c2-4c9f-b177-b37c2275a48b · outbound

This paper cites Clinician’s guide to the basic principles of MRI,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Clinician’s guide to the basic principles of MRI,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.290150Z

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This paper cites A low -cost and shielding-free ultra-low-field brain MRI scanner,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects A low -cost and shielding-free ultra-low-field brain MRI scanner,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.294208Z

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Observation 6b8a6807-5c34-4051-99a7-d88c1a6bbac8 · outbound

This paper cites Permanent magnet materials and their applications p. campbell,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Permanent magnet materials and their applications p. campbell,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.298399Z

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Observation 27d55266-5c09-4ebb-9af3-ba090ca73594 · outbound

This paper cites Smco magnets vs neodymium magnets: A detailed comparison,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Smco magnets vs neodymium magnets: A detailed comparison,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.302662Z

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Observation ff600634-6c88-4c87-9163-fa5ddddd0b30 · outbound

This paper cites Samarium -cobalt magnet information,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Samarium -cobalt magnet information,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.307002Z

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Observation cd937404-1c5a-4117-bf00-797961f4c34b · outbound

This paper cites Neodymium -iron-boron magnet information,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Neodymium -iron-boron magnet information,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.311581Z

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Observation 9cc7ba56-11ad-4819-b20d-0b4c167df924 · outbound

This paper cites Compact low field magnetic resonance imaging magnet: Design and optimization,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Compact low field magnetic resonance imaging magnet: Design and optimization,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.315859Z

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This paper cites Design and simulations of low cost and low magnetic field mri system,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Design and simulations of low cost and low magnetic field mri system,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.320213Z

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Observation 94b31b50-b564-41e4-a9e8-76d029a8c3b8 · outbound

This paper cites Ultra -high field NMR and MRI—the role of magnet technology to increase sensitivity and specificity,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Ultra -high field NMR and MRI—the role of magnet technology to increase sensitivity and specificity,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.324394Z

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Observation 84371029-6c62-4d71-853e-8f2b36bb22f2 · outbound

This paper cites A high temperature superconducting imaging coil for low-field MRI,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects A high temperature superconducting imaging coil for low-field MRI,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.328485Z

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This paper cites Shim coil design, limitations and implications,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Shim coil design, limitations and implications,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.332521Z

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This paper cites Passive shimming of MR magnets: algorithm, hardware, and results,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Passive shimming of MR magnets: algorithm, hardware, and results,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.336522Z

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This paper cites Shimming toolbox: An opensource software toolbox for b0 and b1 shimming in MRI,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Shimming toolbox: An opensource software toolbox for b0 and b1 shimming in MRI,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.340974Z

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This paper cites Theory of gradient coil design methods for magnetic resonance imaging,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Theory of gradient coil design methods for magnetic resonance imaging,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.345620Z

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Observation 81e4ce5b-0cae-4f94-878d-05af539d960b · outbound

This paper cites Geometric distortion correction in gradient-echo imaging by use of dynamic time warping,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Geometric distortion correction in gradient-echo imaging by use of dynamic time warping,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.349837Z

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Observation ca88f45b-e5d2-4da9-b99d-a3e0e8fa43c6 · outbound

This paper cites Image distortion correction for mri in low field permanent magnet systems with strong B0 inhomogeneity and gradient field nonlinearities,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Image distortion correction for mri in low field permanent magnet systems with strong B0 inhomogeneity and gradient field nonlinearities,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.353759Z

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Observation 1ba7beba-bd05-499d-8da1-b072b6fa63c5 · outbound

This paper cites Distortion -corrected image reconstruction with deep learning on an MRI-linac,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Distortion -corrected image reconstruction with deep learning on an MRI-linac,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.358018Z

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Observation d90be9f4-c8fd-4e4e-8dc5-9c9d935fb88c · outbound

This paper cites A programmable eddy -current compensation system for mri and localized spectroscopy,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects A programmable eddy -current compensation system for mri and localized spectroscopy,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.362259Z

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This paper cites Rf coils: A practical guide for nonphysicists,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Rf coils: A practical guide for nonphysicists,

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Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.366711Z

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This paper cites Design and implementation of split -leg type elliptical whole -body birdcage RF coil at 1.5 T MRI,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Design and implementation of split -leg type elliptical whole -body birdcage RF coil at 1.5 T MRI,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.370847Z

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Observation 4eb1d9bc-f128-486f-9606-2691f0778b3e · outbound

This paper cites Basic principles of and practical guide to clinical MRI radiofrequency coils,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Basic principles of and practical guide to clinical MRI radiofrequency coils,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.374932Z

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This paper cites an unresolved cited work.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.379423Z

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This paper cites an unresolved cited work.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-04T23:46:36.423599Z

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Observation cb02f486-8651-4a8a-9d1e-0ab2daa98d04 · outbound

This paper cites Recent advances in parallel imaging for MRI,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Recent advances in parallel imaging for MRI,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.408922Z

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Observation c1adf3b5-1c1c-4f0a-8199-cb86569794d0 · outbound

This paper cites An introduction to coil array design for parallel MRI,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects An introduction to coil array design for parallel MRI,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.394137Z

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Observation a0a83689-1161-4da7-9ecd-ee78f3c09ebe · outbound

This paper cites Us regulatory considerations for low field magnetic resonance imaging systems,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Us regulatory considerations for low field magnetic resonance imaging systems,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.379639Z

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Observation a1af98dd-876b-499c-9adf-904169480752 · outbound

This paper cites MRI (Magnetic Resonance Imaging) - Information for Industry,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects MRI (Magnetic Resonance Imaging) - Information for Industry,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.365357Z

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This paper cites Geneva, Switzerland: International Electrotechnical Commission, 4.2 ed., 2022.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Geneva, Switzerland: International Electrotechnical Commission, 4.2 ed., 2022

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.351351Z

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Observation 2d2efc70-f83b-47a5-a5a5-e4631f64d859 · outbound

This paper cites Rosslyn, VA: National Electrical Manufacturers Association, 2008.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Rosslyn, VA: National Electrical Manufacturers Association, 2008

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.337118Z

Source-reported events for the cited work

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Observation 95c77d6a-078d-4b16-913e-0d68f5e1b887 · outbound

This paper cites Rosslyn, VA: National Electrical Manufacturers Association, 2023.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Rosslyn, VA: National Electrical Manufacturers Association, 2023

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.322320Z

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Observation e43b59dd-be5b-466c-9899-bdd395ebecc6 · outbound

This paper cites Recent advances in parallel imaging for mri,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Recent advances in parallel imaging for mri,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.307494Z

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Observation cf8e6333-cf37-4886-83cc-f8ed2f91e10f · outbound

This paper cites Sense: Sensitivity encoding for fast MRI,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Sense: Sensitivity encoding for fast MRI,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.292245Z

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Observation f098b847-efaa-4c5e-b25a-597b0ca63b59 · outbound

This paper cites Qrdecomposition based sense reconstruction using parallel architecture,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Qrdecomposition based sense reconstruction using parallel architecture,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.277088Z

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Observation 7c758140-6fb0-4a33-a77b-8a15cef8e24d · outbound

This paper cites A 2d -grappa algorithm with a boomerang kernel for 3d mri data accelerated along two phaseencoding directions,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects A 2d -grappa algorithm with a boomerang kernel for 3d mri data accelerated along two phaseencoding directions,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.261182Z

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Observation ce624c7b-33ef-4cfa-b0a4-4b8c83e13647 · outbound

This paper cites Deep learning for accelerated and robust mri reconstruction: A review,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Deep learning for accelerated and robust mri reconstruction: A review,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.235212Z

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Observation c0f2877f-4c55-4905-997c-1e416b3b7990 · outbound

This paper cites MRI image analysis methods and applications: an algorithmic perspective using brain tumors as an exemplar,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects MRI image analysis methods and applications: an algorithmic perspective using brain tumors as an exemplar,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.195510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f48fbc49-146f-4f15-b4c6-628fb47d6d01 · outbound

This paper cites Fast MRI reconstruction using deep learning-based compressed sensing: A systematic review,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Fast MRI reconstruction using deep learning-based compressed sensing: A systematic review,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.156813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fa849edc-676e-415b-ab54-7bb8cc859968 · outbound

This paper cites Generative adversarial networks (GAN) powered fast magnetic resonance imaging —mini review, comparison and perspectives,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Generative adversarial networks (GAN) powered fast magnetic resonance imaging —mini review, comparison and perspectives,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.110398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8246c3cc-7e16-45c9-86c0-8da77cc3cb6c · outbound

This paper cites Image quality assessment for magnetic resonance imaging,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Image quality assessment for magnetic resonance imaging,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.081552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5bcb63ba-8a96-48cf-a624-e5f045b4c1a3 · outbound

This paper cites Deep learning for undersampled MRI reconstruction,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Deep learning for undersampled MRI reconstruction,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.057911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a99253d9-7e9a-406d-acd0-93f37e3be2f3 · outbound

This paper cites A CNN Accelerator on FPGA Using Depthwise Separable Convolution.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects A CNN Accelerator on FPGA Using Depthwise Separable Convolution

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-04T23:46:35.232430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 34534e61-4757-410b-9f56-32f759a7dd4f · outbound

This paper cites A comparative study of cnn -based super -resolution methods in mri reconstruction,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects A comparative study of cnn -based super -resolution methods in mri reconstruction,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.039141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 279a63f7-e520-4ebc-b4d7-264ae9482d96 · outbound

This paper cites Generative adversarial networks (GAN) powered fast magnetic resonance imaging – mini review, comparison and perspectives,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Generative adversarial networks (GAN) powered fast magnetic resonance imaging – mini review, comparison and perspectives,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.023826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d2458e8-b1d3-4962-a81a-4e91d9dd4c39 · outbound

This paper cites The role of generative adversarial networks in brain MRI: a scoping review,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects The role of generative adversarial networks in brain MRI: a scoping review,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:36.008945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 188a5269-bb40-437c-9521-24fe633e8d57 · outbound

This paper cites Super -resolution of magnetic resonance images using generative adversarial networks,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Super -resolution of magnetic resonance images using generative adversarial networks,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.994026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f44a061b-2cb0-4fbd-bbdf-e7ae3c8de701 · outbound

This paper cites SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-08-04T23:46:35.208281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3e682464-9d5d-420d-b29d-56f6e8539120 · outbound

This paper cites Flexigan: An end-to-end framework for FPGA acceleration of generative adversarial networks,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Flexigan: An end-to-end framework for FPGA acceleration of generative adversarial networks,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.979368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 63383a2c-e6a9-4bf7-b418-0238e9f80ea7 · outbound

This paper cites Compressed sensing MRI: a review of the clinical literature,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Compressed sensing MRI: a review of the clinical literature,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.964428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 95adcf41-18aa-4fc2-8b7b-792b73aa6683 · outbound

This paper cites Compressed sensing MRI,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Compressed sensing MRI,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.950436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f50fb855-f459-41c0-b7fe-fffb565f7886 · outbound

This paper cites Quantitative evaluation of several partial Fourier reconstruction algorithms used in MRI,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Quantitative evaluation of several partial Fourier reconstruction algorithms used in MRI,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.936706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 647c5c65-9aa7-498a-b5fc-0ada5bccbbee · outbound

This paper cites Partial fourier partially parallel imaging,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Partial fourier partially parallel imaging,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.921985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5ec3a3e6-7bfc-4cd6-ab80-c9095edfbb17 · outbound

This paper cites Hardware architectures for real-time medical imaging,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Hardware architectures for real-time medical imaging,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.907453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 75a1c62b-5711-45f6-a651-57f302434914 · outbound

This paper cites Hardware architectures for real-time medical imaging,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Hardware architectures for real-time medical imaging,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.892688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b2dfe041-3123-4edc-80fe-1a5fe7713ef9 · outbound

This paper cites Deep learning enabled fast 3d brain MRI at 0.055 Tesla,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Deep learning enabled fast 3d brain MRI at 0.055 Tesla,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.878460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d07a76ae-7b0c-4fe8-8de7-7a84e72ebf2f · outbound

This paper cites ASIC modelling of sense for parallel MRI,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects ASIC modelling of sense for parallel MRI,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.864975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 50bae6aa-673d-4659-928a-3e82ebcf32ad · outbound

This paper cites Accelerating advanced MRI reconstructions on GPUs,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Accelerating advanced MRI reconstructions on GPUs,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.850070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 758ed1df-b604-41fc-afff-989d07e260b0 · outbound

This paper cites GPU-accelerated dynamic functional connectivity analysis for functional MRI data,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects GPU-accelerated dynamic functional connectivity analysis for functional MRI data,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.820015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e8daf0fc-d252-472f-aa37-7d5987fada69 · outbound

This paper cites FPGA acceleration of image reconstruction for real -time photoacoustic tomography,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects FPGA acceleration of image reconstruction for real -time photoacoustic tomography,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.805628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 07003740-e673-4955-803e-31c3ba3f5b75 · outbound

This paper cites Parallel 2d fft implementation on FPGA suitable for real -time mr image processing,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Parallel 2d fft implementation on FPGA suitable for real -time mr image processing,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.791213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 78872c77-7b55-4871-b653-95cf54ade240 · outbound

This paper cites FPGA implementation of real -time sense reconstruction using pre - scan and emaps sensitivities,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects FPGA implementation of real -time sense reconstruction using pre - scan and emaps sensitivities,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.776387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6f425cd2-42fe-4739-802d-7fe11454264e · outbound

This paper cites FPGA implementation of a real -time parallel MRI reconstruction,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects FPGA implementation of a real -time parallel MRI reconstruction,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.762431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 465bbd21-8c27-4be6-a459-2de701a9c27e · outbound

This paper cites Dlau: A scalable deep learning accelerator unit on fpga,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Dlau: A scalable deep learning accelerator unit on fpga,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.747913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d0004b80-d6e1-4aba-a400-f749b85d0497 · outbound

This paper cites Google supercharges machine learning tasks with custom chip,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Google supercharges machine learning tasks with custom chip,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.733603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 39d68736-f098-4791-8e7a-e542d9c6e64c · outbound

This paper cites In -datacenter performance analysis of a tensor processing unit,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects In -datacenter performance analysis of a tensor processing unit,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.719850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b03969a9-24cd-4917-85d1-11d068b71b9c · outbound

This paper cites Jigsaw: A slice-and-dice approach to non -uniform FFT acceleration for MRI image reconstruction,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Jigsaw: A slice-and-dice approach to non -uniform FFT acceleration for MRI image reconstruction,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.705833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ddbfe60f-2601-4cdb-8218-b82d73d3e5c5 · outbound

This paper cites Low power and complexity implementation of the modified FFT with a new bit-slicing scheme,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Low power and complexity implementation of the modified FFT with a new bit-slicing scheme,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.689868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6c1eb711-3473-4d33-9142-d276ffb25097 · outbound

This paper cites Unveiling the powerhouses of AI: A comprehensive study of GPU, FPGA, and ASIC accelerators,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Unveiling the powerhouses of AI: A comprehensive study of GPU, FPGA, and ASIC accelerators,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.674297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e4a4b137-d716-4740-b7a5-58d9fef7f098 · outbound

This paper cites A portable scanner for brain MRI,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects A portable scanner for brain MRI,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.657345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5de33c72-3f7b-4fd6-bf0f-6de8f92ed046 · outbound

This paper cites Theory of gradient coil design methods for magnetic resonance imaging,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Theory of gradient coil design methods for magnetic resonance imaging,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.642240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 81c5b15b-2f33-4ba1-a2ee-907ac15725a9 · outbound

This paper cites MRI using radiofrequency magnetic field phase gradients,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects MRI using radiofrequency magnetic field phase gradients,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.624063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f6046da1-230b-4742-b6be-d37d9e78a970 · outbound

This paper cites Model-based image reconstruction for MRI,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Model-based image reconstruction for MRI,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.606200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7850c73e-ec0d-4b34-b6c5-9c2b9622d61a · outbound

This paper cites The wu -minn human connectome project: An overview,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects The wu -minn human connectome project: An overview,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.586160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7e9115fd-4c9b-48bc-826f-563e8848680d · outbound

This paper cites Hyperfine, inc. dl image reconstruction white paper.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Hyperfine, inc. dl image reconstruction white paper

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.568738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bab04552-bfa3-461d-ab6d-51a6cd07d5df · outbound

This paper cites Ultra-low-field paediatric MRI in low- and middle -income countries: Super -resolution using a multiorientation u -net,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Ultra-low-field paediatric MRI in low- and middle -income countries: Super -resolution using a multiorientation u -net,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.549825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b2c24148-cde6-4256-b0b2-01a10c92977d · outbound

This paper cites Dagan: Deep dealiasing generative adversarial networks for fast compressed sensing mri reconstruction,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Dagan: Deep dealiasing generative adversarial networks for fast compressed sensing mri reconstruction,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.534228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7914a5ff-4057-42ae-a8d9-841c3100ac55 · outbound

This paper cites Accelerating low -field MRI: Compressed sensing and AI for fast noiserobust imaging,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Accelerating low -field MRI: Compressed sensing and AI for fast noiserobust imaging,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:34.623777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a5949b8-d6fd-4863-93b5-2123dd1f0799 · outbound

This paper cites Dual -domain self-supervised learning for accelerated non -cartesian MRI reconstruction,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Dual -domain self-supervised learning for accelerated non -cartesian MRI reconstruction,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.518500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fa660615-b627-4b6a-87d6-8914cc742d93 · outbound

This paper cites Two -dimensional imaging in a lightweight portable MRI scanner without gradient coils,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Two -dimensional imaging in a lightweight portable MRI scanner without gradient coils,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.503382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 66dc93cb-7215-454e-b9dc-0fad5f60a4ee · outbound

This paper cites Unity: A low -field magnetic resonance neuroimaging initiative to characterize neurodevelopment in low and middle -income settings,.

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects Unity: A low -field magnetic resonance neuroimaging initiative to characterize neurodevelopment in low and middle -income settings,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:46:35.486418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers