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Paper Citation Record · LEDGER

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction

As of 7 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2607.20159.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.20159 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:41:20.209434Z

measured 65 of 65 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

65 of 65 outbound references displayed

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Outbound references

Observation 121e8ad6-763c-491c-aa6d-436baf0b3d87 · outbound

This paper cites Deep Learning Techniques for Automatic MRI CardiacMulti-StructuresSegmentationandDiagnosis:IstheProblem Solved? IEEE Trans.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Deep Learning Techniques for Automatic MRI CardiacMulti-StructuresSegmentationandDiagnosis:IstheProblem Solved? IEEE Trans

Reference 1

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Observation 7a1ba6cd-0f6a-4690-9279-76cf194c0c42 · outbound

This paper cites Controllable Image Processing via Adaptive FilterBank Pyramid.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Controllable Image Processing via Adaptive FilterBank Pyramid

Reference 2

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Observation 2488aae7-cb7f-43db-a882-ed37cac7fa96 · outbound

This paper cites Neuralizer:Generalneuroimageanaly- sis without re-training, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Neuralizer:Generalneuroimageanaly- sis without re-training, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 3

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Observation 9d620fba-3fc0-4685-9fc7-87373dd10e9d · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 4

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Observation 9eb797eb-a7c1-4645-afe2-8d48023661ab · outbound

This paper cites VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction, in: Proc.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction, in: Proc

Reference 5

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Observation 39cf1e80-cfab-47c1-86d5-30904a89df8c · outbound

This paper cites Kiki- net: cross-domain convolutional neural networks for reconstructing undersampled magnetic resonance images.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Kiki- net: cross-domain convolutional neural networks for reconstructing undersampled magnetic resonance images

Reference 6

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Observation 0fd00413-d566-4317-bee1-da609a5f42af · outbound

This paper cites A General Decoupled Learning Framework for Parameterized Image Operators.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction A General Decoupled Learning Framework for Parameterized Image Operators

Reference 7

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Observation c239d071-a3a0-4a0c-885c-70f05a9c33ec · outbound

This paper cites Multi-contrastmrisuper- resolution via a multi-stage integration network, in: de Bruijne, M., Cattin, P.C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y., Essert, C.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Multi-contrastmrisuper- resolution via a multi-stage integration network, in: de Bruijne, M., Cattin, P.C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y., Essert, C

Reference 8

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Observation f9deeb24-dccd-469f-ac9f-2731d666985f · outbound

This paper cites an unresolved cited work.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Unresolved cited work

Reference 9

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Observation 35d0a5d0-06db-4af6-8356-dda6abe34c7b · outbound

This paper cites (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, Springer International Publishing, Cham.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, Springer International Publishing, Cham

Reference 10

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Observation 89461e2b-d3f4-445e-8a02-7d94b5ea4b85 · outbound

This paper cites Model-Agnostic Meta- Learning for Fast Adaptation of Deep Networks, in: Proc.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Model-Agnostic Meta- Learning for Fast Adaptation of Deep Networks, in: Proc

Reference 11

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Observation 031921cd-dceb-4ce4-a490-f3cc96c78df9 · outbound

This paper cites Erasing concepts from diffusion models, in: Proceedings of the 2023 IEEE International Conference on Computer Vision.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Erasing concepts from diffusion models, in: Proceedings of the 2023 IEEE International Conference on Computer Vision

Reference 12

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Observation 7f5e45fa-7442-4a28-878e-0b16af453067 · outbound

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SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Unresolved cited work

Reference 13

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Reference 14

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Observation 5faefdfd-8948-4ccb-8e19-81779d37820d · outbound

This paper cites Learning a Varia- tional Network for Reconstruction of Accelerated MRI Data.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Learning a Varia- tional Network for Reconstruction of Accelerated MRI Data

Reference 15

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Observation 48bab4ee-d20d-423e-b36d-33c69f9dffe0 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Denoising Diffusion Probabilistic Models

Reference 16

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Observation 13f75aae-baf0-43b7-8e2c-14e4d05fc1e1 · outbound

This paper cites Meta-learning in neural networks: A survey.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Meta-learning in neural networks: A survey

Reference 17

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Observation 584994ab-f954-4922-858b-c329c33a4d9b · outbound

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SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Unresolved cited work

Reference 18

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Observation e6e32ba9-8492-4d7a-b861-f337261198a7 · outbound

This paper cites Swin transformer for fast mri.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Swin transformer for fast mri

Reference 19

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Observation bd5493d6-d710-460c-8efc-89a9c346f921 · outbound

This paper cites MRI Reconstruction Via Cascaded Channel-Wise Attention Network, in: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), pp.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction MRI Reconstruction Via Cascaded Channel-Wise Attention Network, in: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), pp

Reference 20

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Observation 6966812a-d4c3-4a4c-ac46-f8d25a04265e · outbound

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SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Unresolved cited work

Reference 21

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Observation 757772a5-232b-4f87-9c58-87b8cd909957 · outbound

This paper cites Deep frequency filteringfordomaingeneralization,in:ProceedingsoftheIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Deep frequency filteringfordomaingeneralization,in:ProceedingsoftheIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 22

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Observation 895090a5-bbfa-48f6-8537-e503c75a0c95 · outbound

This paper cites Glid:Pre-trainingageneralist encoder-decoder vision model, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Glid:Pre-trainingageneralist encoder-decoder vision model, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 23

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Observation 7ee9c07c-d1a4-4e5a-8b7a-9388cb01c9d7 · outbound

This paper cites Universalundersampled mri reconstruction, in: de Bruijne, M., Cattin, P.C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y., Essert, C.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Universalundersampled mri reconstruction, in: de Bruijne, M., Cattin, P.C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y., Essert, C

Reference 24

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Observation 2e689c61-a2df-4d38-b00c-73945b880aef · outbound

This paper cites Dynamichigh-passfilteringandmulti-spectralattentionfor imagesuper-resolution,in:2021IEEE/CVFInternationalConference onComputerVision(ICCV),pp.4268–4277.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Dynamichigh-passfilteringandmulti-spectralattentionfor imagesuper-resolution,in:2021IEEE/CVFInternationalConference onComputerVision(ICCV),pp.4268–4277

Reference 25

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This paper cites Cellular, synaptic and network effects of neuromodulation.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Cellular, synaptic and network effects of neuromodulation

Reference 26

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Observation 14467ffe-9d5d-44b3-a7c0-2bb87c87fbbc · outbound

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SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Unresolved cited work

Reference 27

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Observation ba24060b-c1f1-46b1-bd67-d868fab4c389 · outbound

This paper cites MRBrainS challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI scans.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction MRBrainS challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI scans

Reference 28

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Observation 7fe7beff-ac31-4dde-b001-5194c60e2855 · outbound

This paper cites A review on the at- tention mechanism of deep learning.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction A review on the at- tention mechanism of deep learning

Reference 29

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Observation 35a21819-b166-4feb-9906-5d6cda4bf987 · outbound

This paper cites Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning

Reference 30

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Observation 8d87b1ab-218d-4353-8427-8184943486d4 · outbound

This paper cites Mci-hypernet: A multi- ple contextual information-based adaptive weight learning net- work for controllable image reconstruction.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Mci-hypernet: A multi- ple contextual information-based adaptive weight learning net- work for controllable image reconstruction

Reference 32

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Observation 3ff49f49-1552-4592-abff-75c48fdbf06b · outbound

This paper cites an unresolved cited work.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Unresolved cited work

Reference 33

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Observation 978b6f40-38b8-4873-a2ca-64ed8ea09d42 · outbound

This paper cites Generalizingsuperviseddeeplearningmrireconstructiontomultiple and unseen contrasts using meta-learning hypernetworks.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Generalizingsuperviseddeeplearningmrireconstructiontomultiple and unseen contrasts using meta-learning hypernetworks

Reference 34

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Observation 6ce7734e-4f7c-40cd-8e8c-76884fd3c2f9 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation, in: Proc.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction U-Net: Convolutional Networks for Biomedical Image Segmentation, in: Proc

Reference 35

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Observation b8556588-4709-4040-bf42-a768413139e7 · outbound

This paper cites Palette: Image-to-Image Diffusion Models.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Palette: Image-to-Image Diffusion Models

Reference 36

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Observation 944b91f6-dbe6-48fa-a004-99d58a5b2941 · outbound

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SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Unresolved cited work

Reference 37

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Observation abbbd585-73c1-4ac7-adbb-80e60ae85a0a · outbound

This paper cites Brain-inspired learning in artificial neural networks: a review.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Brain-inspired learning in artificial neural networks: a review

Reference 38

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Observation 3f677a29-4de0-4884-8a1f-f2539e36794c · outbound

This paper cites A hybrid, dual domain, cascade of convolutional neural networks for magnetic resonance image reconstruction, in: Proc.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction A hybrid, dual domain, cascade of convolutional neural networks for magnetic resonance image reconstruction, in: Proc

Reference 39

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Observation f7e9e1f5-4a1a-46dc-a886-a85d6cfb4f4b · outbound

This paper cites An open, multi-vendor, multi-field-strength brain mr dataset and analysis of publicly available skull stripping methods agreement.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction An open, multi-vendor, multi-field-strength brain mr dataset and analysis of publicly available skull stripping methods agreement

Reference 40

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Observation b4e0b7c0-4dda-4be3-bc59-c65f9cbd3088 · outbound

This paper cites Taskswitchingnetworkformulti-task learning, in: 2021 IEEE/CVF International Conference on Computer Vision (ICCV), pp.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Taskswitchingnetworkformulti-task learning, in: 2021 IEEE/CVF International Conference on Computer Vision (ICCV), pp

Reference 41

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Observation 44a65723-9e96-462c-9aa0-bfa484dfcbac · outbound

This paper cites JointCS-MRI Reconstruction and Segmentation with a Unified Deep Network, in: Proc.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction JointCS-MRI Reconstruction and Segmentation with a Unified Deep Network, in: Proc

Reference 42

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Observation 515a6194-183e-4bc2-817d-1dcf1d4749bb · outbound

This paper cites Compressed sensing mri using a recursive dilated network, in: Proc.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Compressed sensing mri using a recursive dilated network, in: Proc

Reference 43

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source=pdf_text observed=2026-08-01T10:41:18.092569Z digest=sha256:6e34a20e7a61b0f6652f3e049b8a1004e097add02070d34a716a30526b4af686

Observation 4d23409b-fc42-4247-82d4-830784505277 · outbound

This paper cites On-the-Fly Test-time Adaptation for Medical Image Segmentation.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction On-the-Fly Test-time Adaptation for Medical Image Segmentation

Reference 44

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Source-reported events for the cited work

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Observation 05390bc3-64cc-4e34-a04f-d98f35b4ff9b · outbound

This paper cites Attention is all you need, in: Guyon, I., Luxburg, U.V., Bengio, S., Wal- lach, H., Fergus, R., Vishwanathan, S., Garnett, R.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Attention is all you need, in: Guyon, I., Luxburg, U.V., Bengio, S., Wal- lach, H., Fergus, R., Vishwanathan, S., Garnett, R

Reference 45

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Observation d70e02f5-a429-49a5-a5c7-32dc005b1c4f · outbound

This paper cites Multimodal model- agnostic meta-learning via task-aware modulation, in: Neural Infor- mation Processing Systems.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Multimodal model- agnostic meta-learning via task-aware modulation, in: Neural Infor- mation Processing Systems

Reference 46

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Observation 2b70cf3e-7ce0-4b65-ad4f-fab207fed87c · outbound

This paper cites Tent: Fully test-time adaptation by entropy minimization, in: Inter- national Conference on Learning Representations.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Tent: Fully test-time adaptation by entropy minimization, in: Inter- national Conference on Learning Representations

Reference 47

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Observation 1cbd300e-c3ed-4ac2-8a49-d16f52841885 · outbound

This paper cites an unresolved cited work.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Unresolved cited work

Reference 48

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Observation 709b1bcd-dd6a-4da0-b1cd-77fc38b3cdd5 · outbound

This paper cites CFSNet: Toward a Controllable Feature Space for Image Restoration, in: IEEE/CVF International Conference on Computer Vision (ICCV), pp.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction CFSNet: Toward a Controllable Feature Space for Image Restoration, in: IEEE/CVF International Conference on Computer Vision (ICCV), pp

Reference 49

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Observation 3afe14ff-db2b-46fd-869e-2ecf5d1fc3b0 · outbound

This paper cites A deep ensemble network for compressed sensing mri, in: Proc.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction A deep ensemble network for compressed sensing mri, in: Proc

Reference 50

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Observation aacd2c47-97d2-4878-aa07-12b5fce67f5a · outbound

This paper cites Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction

Reference 51

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Observation 9d4d3c31-9895-47ba-b074-86116b570474 · outbound

This paper cites Training behavior of deep neural network in frequency domain, in: Gedeon, T., Wong, K.W., Lee,M.(Eds.),NeuralInformationProcessing,SpringerInternational Publishing, Cham.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Training behavior of deep neural network in frequency domain, in: Gedeon, T., Wong, K.W., Lee,M.(Eds.),NeuralInformationProcessing,SpringerInternational Publishing, Cham

Reference 52

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Observation 4c12420c-b079-412f-b4ad-378387e23f3b · outbound

This paper cites Self-supervised learning of physics-guided reconstruction neural networks without fully sampled reference data.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Self-supervised learning of physics-guided reconstruction neural networks without fully sampled reference data

Reference 53

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Observation c8ff8033-f538-4d80-bfe8-9507b0227493 · outbound

This paper cites DAGAN:Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction DAGAN:Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction

Reference 54

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Observation 6a012fcb-2176-4423-a7df-568198054627 · outbound

This paper cites The neural basis of selective attention.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction The neural basis of selective attention

Reference 55

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Observation 0b2df0f6-3ceb-4880-a7c1-a7be348fcfdd · outbound

This paper cites an unresolved cited work.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Unresolved cited work

Reference 56

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Observation 972460d8-3ea6-4eec-9b37-1980c855aeb7 · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Restormer: Efficient transformer for high-resolution image restoration, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 57

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Observation 64f1b05f-62bf-4fc2-948d-f03c2c57d813 · outbound

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

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 58

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Observation 1349d60e-7db6-4049-8cfe-61e5ecb35b67 · outbound

This paper cites Ista-net: Interpretable optimization- inspireddeepnetworkforimagecompressivesensing,in:Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Ista-net: Interpretable optimization- inspireddeepnetworkforimagecompressivesensing,in:Proceedings of the IEEE conference on computer vision and pattern recognition, pp

Reference 59

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Observation 3ab7b54b-dc1d-424d-97cd-86d4b5923e3d · outbound

This paper cites Image super-resolutionusingverydeepresidualchannelattentionnetworks, in: Proceedings of the European Conference on Computer Vision (ECCV).

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Image super-resolutionusingverydeepresidualchannelattentionnetworks, in: Proceedings of the European Conference on Computer Vision (ECCV)

Reference 60

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Observation 457fcd15-9144-4ee2-8d3a-6c22db1601c2 · outbound

This paper cites an unresolved cited work.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Unresolved cited work

Reference 170

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Observation 5af56951-f806-47ee-b2f4-7a35520bcf9b · outbound

This paper cites an unresolved cited work.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Unresolved cited work

Reference 1321

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Observation b0cfb3ba-7b85-470c-b52d-37917c359e59 · outbound

This paper cites an unresolved cited work.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Unresolved cited work

Reference 2017

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Observation 4f7c568e-f9a3-49b7-9fbe-49f3e94d993d · outbound

This paper cites an unresolved cited work.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Unresolved cited work

Reference 2020

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Observation a5647b42-a669-4e84-b67a-7c08c021c22a · outbound

This paper cites IEEE Transactions on Medical Imaging 42, 2804–2816.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction IEEE Transactions on Medical Imaging 42, 2804–2816

Reference 2023

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Observation 08696698-f9e8-4f2c-8d27-494c8dcbe54c · outbound

This paper cites an unresolved cited work.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction Unresolved cited work

Reference 4148

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Pith citing papers

No inbound Pith citation observations are available.