Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T10:41:20.209434Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T10:41:20.209434Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
65 of 65 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 121e8ad6-763c-491c-aa6d-436baf0b3d87 · outbound
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
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
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
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Observation 9d620fba-3fc0-4685-9fc7-87373dd10e9d · outbound
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
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Observation 9eb797eb-a7c1-4645-afe2-8d48023661ab · outbound
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
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Observation 39cf1e80-cfab-47c1-86d5-30904a89df8c · outbound
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
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Observation 0fd00413-d566-4317-bee1-da609a5f42af · outbound
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
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Observation c239d071-a3a0-4a0c-885c-70f05a9c33ec · outbound
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
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Observation f9deeb24-dccd-469f-ac9f-2731d666985f · outbound
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
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
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
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Observation 031921cd-dceb-4ce4-a490-f3cc96c78df9 · outbound
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
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Observation 7f5e45fa-7442-4a28-878e-0b16af453067 · outbound
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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Observation 26ddc919-c56f-4334-aa0f-1a012a6812d6 · outbound
SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction HyperNetworks
Reference 14
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Observation 5faefdfd-8948-4ccb-8e19-81779d37820d · outbound
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
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
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
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
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
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
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Observation 6966812a-d4c3-4a4c-ac46-f8d25a04265e · outbound
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
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
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
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Observation 7ee9c07c-d1a4-4e5a-8b7a-9388cb01c9d7 · outbound
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
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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Observation f783ce46-3411-4540-a1e9-209261b9ed3c · outbound
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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Observation 4d23409b-fc42-4247-82d4-830784505277 · outbound
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
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Observation 05390bc3-64cc-4e34-a04f-d98f35b4ff9b · outbound
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
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
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
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
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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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
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
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
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
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
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
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Reference 56
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Observation 972460d8-3ea6-4eec-9b37-1980c855aeb7 · outbound
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Reference 57
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Observation 64f1b05f-62bf-4fc2-948d-f03c2c57d813 · outbound
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
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Reference 59
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Reference 60
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Reference 170
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Observation 5af56951-f806-47ee-b2f4-7a35520bcf9b · outbound
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
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
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
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
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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