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Paper Citation Record · LEDGER

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning

As of 21 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2412.10452.

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

pith.paper-citation-record.v1
2412.10452 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

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measured 38 of 38 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b2313801-bfeb-4d1a-9f4e-22ecd8674a20 · outbound

This paper cites ChromaGAN: Adversarial picture colorization with semantic class distribution,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning ChromaGAN: Adversarial picture colorization with semantic class distribution,

Reference 1

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Observation 073f7445-9f92-40d9-aa79-6c57cf45bbb7 · outbound

This paper cites Colorformer: Image colorization via color memory assisted hybrid- attention transformer,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Colorformer: Image colorization via color memory assisted hybrid- attention transformer,

Reference 2

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Observation 5737d33c-0a7d-42fb-821c-b1f5be582338 · outbound

This paper cites DDColor: Towards photo-realistic image colorization via dual decoders,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning DDColor: Towards photo-realistic image colorization via dual decoders,

Reference 3

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Observation ff93b6a1-5add-4362-b3be-ea09d828475c · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 4

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Observation 0b571435-83c9-4cd4-8485-baff25b3cbc0 · outbound

This paper cites 2D to 3D medical image colorization,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning 2D to 3D medical image colorization,

Reference 5

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Observation b5540dfb-07d9-49b8-90de-9190960c2033 · outbound

This paper cites Colorizing grayscale CT images of human lungs using deep learning methods,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Colorizing grayscale CT images of human lungs using deep learning methods,

Reference 6

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Observation 41ccd85c-cf4e-409d-9f05-bcc6038aee28 · outbound

This paper cites A novel brain tumor detection and coloring technique from 2D MRI images,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning A novel brain tumor detection and coloring technique from 2D MRI images,

Reference 7

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Observation 18ebade1-ef85-4753-af84-279237088d58 · outbound

This paper cites Synergistic image and feature adaptation: Towards cross-modality domain adaptation for medical image segmentation,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Synergistic image and feature adaptation: Towards cross-modality domain adaptation for medical image segmentation,

Reference 8

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Observation 3c841a15-8bdc-454d-9bb3-ae34a2827f89 · outbound

This paper cites Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network,

Reference 9

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Observation a401b4fa-154d-4043-9d21-16e40ead3c15 · outbound

This paper cites SynSeg-Net: Synthetic segmentation without target modality ground truth,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning SynSeg-Net: Synthetic segmentation without target modality ground truth,

Reference 10

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Observation 4a315270-55ff-4c58-8e81-552409c8c2e4 · outbound

This paper cites Identification of intracranial haemorrhage (ICH) using ResNet with data augmentation using CycleGAN and ICH seg- mentation using SegAN,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Identification of intracranial haemorrhage (ICH) using ResNet with data augmentation using CycleGAN and ICH seg- mentation using SegAN,

Reference 11

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Observation cc8a068b-c65d-4454-9ee7-90e1f833e07b · outbound

This paper cites Unpaired MR to CT synthesis with Explicit Structural Constrained Adversarial Learning,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Unpaired MR to CT synthesis with Explicit Structural Constrained Adversarial Learning,

Reference 12

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Observation f27f280c-f3f1-44f7-a38e-ad1bbd4b6fcc · outbound

This paper cites Cross-modality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Cross-modality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size,

Reference 13

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Observation d9e5f284-ef10-4bc5-8124-fee3b302937a · outbound

This paper cites MRI knee domain translation for unsupervised segmentation by CycleGAN (data from osteoarthritis initiative (OAI)),.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning MRI knee domain translation for unsupervised segmentation by CycleGAN (data from osteoarthritis initiative (OAI)),

Reference 14

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Observation 092b3882-0f68-4bf5-a24b-d5357ef9b9c9 · outbound

This paper cites Unsupervised medical image translation using Cycle- MedGAN,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Unsupervised medical image translation using Cycle- MedGAN,

Reference 15

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Observation c3b8aca8-2310-4126-93c9-7eeb31d656c7 · outbound

This paper cites Adaptive latent diffusion model for 3D medical image to image translation: Multi-modal magnetic resonance imaging study,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Adaptive latent diffusion model for 3D medical image to image translation: Multi-modal magnetic resonance imaging study,

Reference 16

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Observation a9257e75-bdd4-4cd5-8fc1-78d218f6b92d · outbound

This paper cites An improved deep learning framework for MR-to-CT image synthesis with a new hybrid objective function,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning An improved deep learning framework for MR-to-CT image synthesis with a new hybrid objective function,

Reference 17

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Observation b94ed0fa-92fa-4200-8b84-092b5d4415fd · outbound

This paper cites Super-attention for exemplar- based image colorization,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Super-attention for exemplar- based image colorization,

Reference 18

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Observation e4089a63-64de-43b1-b358-099bd7463a2a · outbound

This paper cites Non-local matching of superpixel-based deep features for color transfer,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Non-local matching of superpixel-based deep features for color transfer,

Reference 19

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Observation 6e525362-19e2-4eee-87e5-0c3555daaa5b · outbound

This paper cites Squeeze-and-Excitation networks,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Squeeze-and-Excitation networks,

Reference 20

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Observation 00be7fc4-fc9c-46c1-ac43-273a07e6fd14 · outbound

This paper cites Classification of lung nodules based on CT images using Squeeze- and-Excitation network and aggregated residual transformations,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Classification of lung nodules based on CT images using Squeeze- and-Excitation network and aggregated residual transformations,

Reference 21

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Observation 172d297f-2171-47f2-a69e-6726286a1786 · outbound

This paper cites Recalibrating fully convo- lutional networks with spatial and channel “Squeeze and Excitation.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Recalibrating fully convo- lutional networks with spatial and channel “Squeeze and Excitation

Reference 22

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Observation 41dea36a-ef5f-48ac-af2f-972ee5748891 · outbound

This paper cites DuSFE: Dual-channel Squeeze-fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning DuSFE: Dual-channel Squeeze-fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT,

Reference 23

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Observation dace87f1-fb4b-4650-a79a-f933472e9a05 · outbound

This paper cites Deepseed: 3D Squeeze-and-Excitation encoder- decoder convolutional neural networks for pulmonary nodule detection,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Deepseed: 3D Squeeze-and-Excitation encoder- decoder convolutional neural networks for pulmonary nodule detection,

Reference 24

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Observation 6ded203d-602f-4bdd-9cf9-6a485fed57ac · outbound

This paper cites SEA-NET: medical image seg- mentation network based on spiral Squeeze-and-Excitation and attention modules,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning SEA-NET: medical image seg- mentation network based on spiral Squeeze-and-Excitation and attention modules,

Reference 25

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Observation 11419cdc-ee4a-4b7a-a90d-214e5d29958e · outbound

This paper cites Visible Korean Human: Another trial for making serially sectioned images,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Visible Korean Human: Another trial for making serially sectioned images,

Reference 26

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Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Visible Korean Human: Improved serially sectioned images of the entire body,

Reference 27

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Observation a49eefab-fb66-4c12-8113-a66686c5f8c6 · outbound

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Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Visible Korean Human: Its techniques and applications,

Reference 28

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Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Elastix: a toolbox for intensity-based medical image registration,

Reference 29

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This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Unpaired image-to-image translation using cycle-consistent adversarial networks,

Reference 30

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Structurally Consistent MRI Colorization using Cross-modal Fusion Learning U-Net: Convolutional net- works for biomedical image segmentation,

Reference 31

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Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Generative adversarial nets,

Reference 32

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Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Image quality assessment: from error visibility to structural similarity,

Reference 33

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Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Measuring colorfulness in natural images,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation da7abd8f-9e99-450f-a04f-ae193ef3c969 · outbound

This paper cites Multiscale structural similarity for image quality assessment,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Multiscale structural similarity for image quality assessment,

Reference 35

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unresolved
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Observation b4668804-7bce-4fbf-9795-2e8842ee2bcd · outbound

This paper cites Fsim: A feature similarity index for image quality assessment,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Fsim: A feature similarity index for image quality assessment,

Reference 36

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verified fuzzy
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Observation bee626e0-20e0-4e78-8898-504f3e3e9cec · outbound

This paper cites Structural similarity met- rics for texture analysis and retrieval,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Structural similarity met- rics for texture analysis and retrieval,

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5bd0e71e-04fc-47da-9450-70ee893f3c67 · outbound

This paper cites Structural texture similarity metrics for retrieval applications,.

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning Structural texture similarity metrics for retrieval applications,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:25:05.434116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Pith citing papers

No inbound Pith citation observations are available.