Paper Citation Record · LEDGER

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction

As of 14 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2501.08163.

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

pith.paper-citation-record.v1
2501.08163 v3

Coverage vector

measured 64 of 64 reference resolution

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:09:52.614337Z

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A source-named dated measurement, never combined with another source.

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Reference resolution

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External citation measurements

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Outbound references

Observation ede069a3-3a63-4814-a1ed-bb8cae99594d · outbound

This paper cites Basic principles of magnetic resonance imaging—an update,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Basic principles of magnetic resonance imaging—an update,

Reference 1

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Observation cc218229-3267-40b7-ab8c-9fbfed0f1ccb · outbound

This paper cites Magnetic resonance imaging (mri)– a review,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Magnetic resonance imaging (mri)– a review,

Reference 2

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Observation d85f169e-7cc1-4a64-8830-9cfc94261dc2 · outbound

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

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Dagan: Deep de- aliasing generative adversarial networks for fast compressed sensing mri reconstruction,

Reference 3

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Observation 62f9245c-4345-4d86-b198-0779a0560d68 · outbound

This paper cites Mathematical models for magnetic resonance imaging reconstruction: An overview of the approaches, problems, and future research areas,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Mathematical models for magnetic resonance imaging reconstruction: An overview of the approaches, problems, and future research areas,

Reference 4

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Observation b15f5bb8-c0e3-456d-b08e-0812817787d2 · outbound

This paper cites Accelerating magnetic resonance imaging via deep learning,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Accelerating magnetic resonance imaging via deep learning,

Reference 5

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Observation 5059f5ed-340f-4019-9fde-fafde38abce5 · outbound

This paper cites A review on deep learning mri reconstruction without fully sampled k-space,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction A review on deep learning mri reconstruction without fully sampled k-space,

Reference 6

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Observation 7c67e1ae-737b-43fd-b0bc-77d1d01b1253 · outbound

This paper cites Camp-net: Consistency-aware multi- prior network for accelerated mri reconstruction,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Camp-net: Consistency-aware multi- prior network for accelerated mri reconstruction,

Reference 7

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Observation de99cf78-0c7a-4f99-a391-592e0313f0cd · outbound

This paper cites A survey of convo- lutional neural networks: analysis, applications, and prospects,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction A survey of convo- lutional neural networks: analysis, applications, and prospects,

Reference 8

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Observation 869c55f0-813d-45fc-9b42-9fbd17d57fac · outbound

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

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

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Observation 8c603d03-3d5d-4db0-848c-a749bf8e5757 · outbound

This paper cites Vision transformers enable fast and robust accelerated mri,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Vision transformers enable fast and robust accelerated mri,

Reference 10

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Observation dca04ff5-39c9-416e-9f94-b9ae2c27fb5e · outbound

This paper cites Multi-modal multi-slice cooperative dual-domain cascaded de-aliasing network for mr imaging reconstruction,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Multi-modal multi-slice cooperative dual-domain cascaded de-aliasing network for mr imaging reconstruction,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:07.291867Z

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Observation 99079ede-0bca-402a-a442-06a4cf9f962c · outbound

This paper cites Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification

Reference 12

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Observation 623179a2-6656-4c5b-97d2-2b2a31f64ac7 · outbound

This paper cites Reconformer: Ac- celerated mri reconstruction using recurrent transformer,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Reconformer: Ac- celerated mri reconstruction using recurrent transformer,

Reference 13

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Observation f0915643-b24e-4e12-ac7f-b28f4bf7ede1 · outbound

This paper cites Generalizable mri motion correction via compressed sensing equivariant imaging prior,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Generalizable mri motion correction via compressed sensing equivariant imaging prior,

Reference 14

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Observation 3a87e3b8-0edb-45f1-8499-eab91a1097fb · outbound

This paper cites Wide weighted attention multi-scale network for accurate mr image super-resolution,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Wide weighted attention multi-scale network for accurate mr image super-resolution,

Reference 15

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Observation c00177ca-cc09-4b56-ac86-c90791cbd6ad · outbound

This paper cites Separate and conquer: Decoupling co-occurrence via decomposition and representa- tion for weakly supervised semantic segmentation,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Separate and conquer: Decoupling co-occurrence via decomposition and representa- tion for weakly supervised semantic segmentation,

Reference 17

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Observation 3cbaeac3-90f1-4f9b-a82a-a99286597fe7 · outbound

This paper cites Vision transformers in image restoration: A survey,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Vision transformers in image restoration: A survey,

Reference 18

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Observation adc93ca0-f0bd-419c-bb9f-691a76683825 · outbound

This paper cites How Do Vision Transformers Work?.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction How Do Vision Transformers Work?

Reference 19

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Observation 5ab6cbf5-2fb3-4ea5-9273-c46a46c476c9 · outbound

This paper cites A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking,

Reference 20

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Observation 0f213ed0-48f9-4251-9151-1fedc5f4d939 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 21

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Observation 42f03b91-f3ec-490d-bbf6-365e8c0b95d3 · outbound

This paper cites Mlmamba: A mamba- based efficient network for multi-label remote sensing scene classifica- tion,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Mlmamba: A mamba- based efficient network for multi-label remote sensing scene classifica- tion,

Reference 22

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Observation a2c5e54c-cae9-487a-b66f-1a15353795c7 · outbound

This paper cites Mdnet: Mamba-effective diffusion- distillation network for rgb-thermal urban dense prediction,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Mdnet: Mamba-effective diffusion- distillation network for rgb-thermal urban dense prediction,

Reference 23

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Observation fe487ebf-b606-4a8c-99fb-7cd6dd927281 · outbound

This paper cites Stegmamba: Distortion-free immune-cover for multi-image steganogra- phy with state space model,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Stegmamba: Distortion-free immune-cover for multi-image steganogra- phy with state space model,

Reference 24

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Observation 5e9056e8-1c54-4971-9102-b67263794251 · outbound

This paper cites ReMamba: Equip Mamba with Effective Long-Sequence Modeling.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction ReMamba: Equip Mamba with Effective Long-Sequence Modeling

Reference 27

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Observation f6b72d10-1870-41ef-8ec0-1e398c1d0da6 · outbound

This paper cites Efficient High-Resolution Visual Representation Learning with State Space Model for Human Pose Estimation.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Efficient High-Resolution Visual Representation Learning with State Space Model for Human Pose Estimation

Reference 28

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Observation 72a50a1c-eabb-4664-a8a2-ee40189bc649 · outbound

This paper cites Accelerating magnetic resonance imaging via deep learning,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Accelerating magnetic resonance imaging via deep learning,

Reference 29

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Observation 43cd92db-011c-4a62-826c-867990a09c3d · outbound

This paper cites A deep cascade of convolutional neural networks for dynamic mr image reconstruction,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction A deep cascade of convolutional neural networks for dynamic mr image reconstruction,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:07.040898Z

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Observation 3308f968-dfa1-4196-a859-0b9841264aa4 · outbound

This paper cites Dudornet: learning a dual-domain recurrent network for fast mri reconstruction with deep t1 prior,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Dudornet: learning a dual-domain recurrent network for fast mri reconstruction with deep t1 prior,

Reference 31

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Observation cb27d229-8ff7-4ba2-b973-a6a227c48871 · outbound

This paper cites Mr image reconstruction using densely connected residual convolutional networks,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Mr image reconstruction using densely connected residual convolutional networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:07.008884Z

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Observation 0625bc39-927b-4529-ba2d-363a47a3efaf · outbound

This paper cites Dual-octave convo- lution for accelerated parallel mr image reconstruction,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Dual-octave convo- lution for accelerated parallel mr image reconstruction,

Reference 33

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Observation a5500904-bfd6-4434-9bf5-ea70e63697d4 · outbound

This paper cites A survey of the recent architectures of deep convolutional neural networks,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction A survey of the recent architectures of deep convolutional neural networks,

Reference 34

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Observation 911a3cf8-87f1-4298-8ae0-24013aae6201 · outbound

This paper cites Convolutional neural networks in medical image understanding: a survey,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Convolutional neural networks in medical image understanding: a survey,

Reference 35

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Observation 6d2efceb-5fa1-434d-97f5-d3fcd7037c18 · outbound

This paper cites A survey on deep learning: convolution neural network (cnn),.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction A survey on deep learning: convolution neural network (cnn),

Reference 36

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Observation c9e0f889-b606-4d00-990b-e46b00fb1e2d · outbound

This paper cites A survey of the vision transformers and their cnn-transformer based variants,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction A survey of the vision transformers and their cnn-transformer based variants,

Reference 37

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Observation 20e41c04-eba6-43e5-b250-5cf7f65e1a42 · outbound

This paper cites Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction

Reference 38

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Observation 42e5f87d-8bdc-4198-873b-22f254ff499b · outbound

This paper cites MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation

Reference 39

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Observation ecaffe7f-5974-4c16-9f07-c6ac17e4d795 · outbound

This paper cites Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation

Reference 40

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Observation 58cae550-8fb8-4bc6-b7f9-962d2d597f99 · outbound

This paper cites Unsupervised mri reconstruction via zero-shot learned adversarial transformers,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Unsupervised mri reconstruction via zero-shot learned adversarial transformers,

Reference 41

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Observation 34633634-99cb-46da-9713-faedf266e72b · outbound

This paper cites Swin transformer for fast mri,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Swin transformer for fast mri,

Reference 42

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Observation 1b8df6d3-ae2b-4e2a-931a-a6487b7a19c9 · outbound

This paper cites Frequency learning via multi-scale fourier transformer for mri reconstruction,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Frequency learning via multi-scale fourier transformer for mri reconstruction,

Reference 43

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Observation 16bd0b96-914d-4bc4-b077-b9de1d8e66ac · outbound

This paper cites HiPPO: Recurrent Memory with Optimal Polynomial Projections.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction HiPPO: Recurrent Memory with Optimal Polynomial Projections

Reference 44

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This paper cites Medmamba: Vision mamba for medical image classification,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Medmamba: Vision mamba for medical image classification,

Reference 45

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Observation adb853a6-e4ab-4e2c-b5f1-162403133d3f · outbound

This paper cites LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation

Reference 46

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DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Visual Mamba: A Survey and New Outlooks

Reference 47

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This paper cites Mamba in Vision: A Comprehensive Survey of Techniques and Applications.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Mamba in Vision: A Comprehensive Survey of Techniques and Applications

Reference 48

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Observation dd239e8c-7e66-4580-a5b8-ef6d9a5467e3 · outbound

This paper cites Swin-umamba: Mamba-based unet with imagenet-based pretraining,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Swin-umamba: Mamba-based unet with imagenet-based pretraining,

Reference 49

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Observation 565cadcd-38f9-4ae9-b3ef-ee3331e9df58 · outbound

This paper cites Vision Mamba: A Comprehensive Survey and Taxonomy.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Vision Mamba: A Comprehensive Survey and Taxonomy

Reference 50

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This paper cites A Survey on Mamba Architecture for Vision Applications.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction A Survey on Mamba Architecture for Vision Applications

Reference 51

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Observation 33613b64-aace-43fc-b9a3-481513ac7cb1 · outbound

This paper cites VL-Mamba: Exploring State Space Models for Multimodal Learning.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction VL-Mamba: Exploring State Space Models for Multimodal Learning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:05.900219Z

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Observation 24603ca4-a238-44d9-a115-a3f3c77d9395 · outbound

This paper cites MambaIR: A Simple Baseline for Image Restoration with State-Space Model.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction MambaIR: A Simple Baseline for Image Restoration with State-Space Model

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:05.906969Z

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Observation 4de7924e-613e-49e2-88f4-aa7c6624349f · outbound

This paper cites Vmambair: Visual state space model for image restoration,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Vmambair: Visual state space model for image restoration,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:07.066936Z

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Observation d1be55f1-6710-4540-a123-b73e1cbdfd35 · outbound

This paper cites FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:05.922506Z

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Observation 304f7aca-0e31-47e5-a5cf-38d9ab832f96 · outbound

This paper cites VmambaIR: Visual State Space Model for Image Restoration.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction VmambaIR: Visual State Space Model for Image Restoration

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:05.916677Z

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Observation dd6135f9-4cac-4a2f-9b7b-d510da459190 · outbound

This paper cites MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:05.933832Z

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Observation 3a5a7398-d914-45c7-a7aa-bf5b34db9716 · outbound

This paper cites Fahm: Frequency-aware hierarchical mamba for hyperspectral image classifi- cation,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Fahm: Frequency-aware hierarchical mamba for hyperspectral image classifi- cation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:06.761794Z

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Observation c051abb6-cbc8-4252-9a48-e05fed66e0c9 · outbound

This paper cites Generalized magnetic resonance image reconstruction using the berkeley advanced reconstruction toolbox,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Generalized magnetic resonance image reconstruction using the berkeley advanced reconstruction toolbox,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:06.744107Z

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Observation c506edb9-2efa-43c7-a575-fb735045cd32 · outbound

This paper cites MMR-Mamba: Multi-Modal MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction MMR-Mamba: Multi-Modal MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:05.940664Z

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Observation fe542347-6ef4-444d-9c8b-0f2c42bc8e47 · outbound

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

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Kiki-net: cross- domain convolutional neural networks for reconstructing undersampled magnetic resonance images,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:05.968367Z

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Observation f727a248-68eb-43ab-9bf2-4f28d39cc1fd · outbound

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

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:05.959226Z

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Observation dc529782-154d-4b0c-9186-3a34df378c3f · outbound

This paper cites SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:05.980705Z

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Observation 7f3433ca-0767-475a-985a-d96f64f10cf8 · outbound

This paper cites Simultaneous truth and performance level estimation (staple): an algorithm for the validation of image segmentation,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Simultaneous truth and performance level estimation (staple): an algorithm for the validation of image segmentation,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:06.719161Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 91e3c07e-b32c-40dd-a577-7f467ce4356a · outbound

This paper cites MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:05.999554Z

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Observation 2401fa9c-2745-4901-af30-c6a1a1bd49f9 · outbound

This paper cites Swingan: A dual-domain swin transformer-based generative adversarial network for mri recon- struction,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Swingan: A dual-domain swin transformer-based generative adversarial network for mri recon- struction,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:06.699602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4e00c78a-eb3e-4c60-9f04-83fa8c4f0d7b · outbound

This paper cites New strategy for reconstructing partial-fourier imaging data in functional mri,.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction New strategy for reconstructing partial-fourier imaging data in functional mri,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:06.672385Z

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Pith citing papers

Observation 2160d1ab-93c1-40ee-b134-c2360e1b7d90 · inbound

Physics-Driven Autoregressive State Space Models for Medical Image Reconstruction cites this paper.

Physics-Driven Autoregressive State Space Models for Medical Image Reconstruction DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-11T17:09:52.733909Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.