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Paper Citation Record · LEDGER

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation

As of 21 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2411.18975.

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

pith.paper-citation-record.v1
2411.18975 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:44:03.480855Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

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

26 of 26 outbound references displayed

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External citation measurements

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Outbound references

Observation 1f62c7c0-c69d-4395-8a06-73842111f583 · outbound

This paper cites A survey on deep learning in medical image analysis.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation A survey on deep learning in medical image analysis

Reference 1

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Unavailable: canonical work link unavailable.

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Observation d0a44de5-efc8-4114-8ead-0728ec842d3e · outbound

This paper cites Recent advances and clinical applications of deep learning in medical image analysis.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation Recent advances and clinical applications of deep learning in medical image analysis

Reference 2

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raw_fallback, observed 2026-08-12T10:44:03.815390Z

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

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Observation 57c7b5fe-25eb-4872-bdc0-2e5001f27d21 · outbound

This paper cites Deep convolutional neural networks for computer-aided detection: Cnn architectures, dataset characteristics and transfer learning.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation Deep convolutional neural networks for computer-aided detection: Cnn architectures, dataset characteristics and transfer learning

Reference 3

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

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Observation 19a5b2b2-cb95-4349-8c48-99cfadc0ad18 · outbound

This paper cites Segmentation of the multimodal brain tumor image used the multi-pathway architecture method based on 3d fcn.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation Segmentation of the multimodal brain tumor image used the multi-pathway architecture method based on 3d fcn

Reference 4

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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 ec37a075-2eee-4dba-9f03-905bf6a1774f · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation U-net: Convolutional networks for biomedical image segmentation

Reference 5

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Observation 8b5932ee-6e8f-49a1-812c-0ecf9379b39e · outbound

This paper cites An enhanced approach on brain tumor segmentation by the use of deep learning.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation An enhanced approach on brain tumor segmentation by the use of deep learning

Reference 6

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

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Observation 51a7e8af-9bca-4370-9aa6-1a80f77c48f0 · outbound

This paper cites An accurate brain tumor segmentation using deep learning.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation An accurate brain tumor segmentation using deep learning

Reference 7

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

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Observation 1c8b9b5d-4488-4ca1-8535-f2d9fa13758b · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 8

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Observation 7c43fb3a-1ecd-4923-ae75-ebc178824e14 · outbound

This paper cites Transfuse: Fusing transformers and cnns for medical image segmen- tation.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation Transfuse: Fusing transformers and cnns for medical image segmen- tation

Reference 9

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

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Observation 89db3f2b-19de-4b8a-b1c8-53a6389fc0de · outbound

This paper cites Swin-unet: Unet-like pure transformer for medical image segmentation.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation Swin-unet: Unet-like pure transformer for medical image segmentation

Reference 10

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

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Observation a2c8408b-ef11-4490-ba74-d545d5af1874 · outbound

This paper cites The perceptron: a probabilistic model for information storage and organization in the brain.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation The perceptron: a probabilistic model for information storage and organization in the brain

Reference 11

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Observation 73c2d812-54b5-47d6-91cf-61adaaa445da · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation KAN: Kolmogorov-Arnold Networks

Reference 12

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Observation 2d3503c1-3b62-4141-be91-81d32fccc786 · outbound

This paper cites Attention is all you need.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation Attention is all you need

Reference 13

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source=pdf_text observed=2026-08-12T10:44:03.434514Z digest=sha256:b8dec01711e631d9f6b3330ac6cd6d733d9c19be124f5759a54dd88253cf6e41

Observation a1ef7573-4a77-48d5-9e61-cee0cf8c534b · outbound

This paper cites Fan: Fourier analysis networks.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation Fan: Fourier analysis networks

Reference 14

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Observation ce1b76e4-60a9-4e4b-93f8-bba17b5f63a8 · outbound

This paper cites Quasi- periodic patterns (qpp): large-scale dynamics in resting state fmri that correlate with local infraslow electrical activity.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation Quasi- periodic patterns (qpp): large-scale dynamics in resting state fmri that correlate with local infraslow electrical activity

Reference 15

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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 070106bd-48fa-4878-a049-56e406aa2483 · outbound

This paper cites an unresolved cited work.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation Unresolved cited work

Reference 16

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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 1de3812e-83d7-4362-b8d8-7dde047120f2 · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 17

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Observation 201de72a-cf67-483c-b0d9-37266024b93e · outbound

This paper cites The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

Reference 18

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Observation d957342f-55de-4fba-be69-b65fc9ec2b88 · outbound

This paper cites A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark

Reference 19

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Observation eaa5ad20-ab1b-4c75-a6b6-080374a10cba · outbound

This paper cites Malunet: A multi-attention and light-weight unet for skin lesion segmentation.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation Malunet: A multi-attention and light-weight unet for skin lesion segmentation

Reference 20

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

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Observation b96ea867-6d96-46c5-aba5-62a5dd5fc1c2 · outbound

This paper cites Vm-unet: Vision mamba unet for medical image segmentation, 2024.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation Vm-unet: Vision mamba unet for medical image segmentation, 2024

Reference 21

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

source=pdf_text observed=2026-08-12T10:44:03.462093Z digest=sha256:b769f5e2a3e8cb969be4402b6089dbb04430f40e7d69bfffec1b7910570708c1

Observation 4ecb68c4-d702-4f7e-b177-0ccad694eac8 · outbound

This paper cites HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation

Reference 22

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Observation 528026b7-4a52-4537-8162-843a32be270a · outbound

This paper cites Med-TTT: Vision Test-Time Training model for Medical Image Segmentation.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation Med-TTT: Vision Test-Time Training model for Medical Image Segmentation

Reference 23

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local_arxiv, observed 2026-08-12T10:44:03.526841Z

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

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Observation 34cd0ad7-a2a7-4d0e-bf9e-732159036959 · outbound

This paper cites Unet++: A nested u-net architecture for medical image segmentation.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation Unet++: A nested u-net architecture for medical image segmentation

Reference 24

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

source=pdf_text observed=2026-08-12T10:44:03.473813Z digest=sha256:64edff29c3f951b754769e20fad07e4f6f4d0cf067d8474268a18f6fe5046bf4

Observation ad75bef5-097b-4b4d-a220-9231f661e20e · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation Attention U-Net: Learning Where to Look for the Pancreas

Reference 25

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Observation ae5fe185-9219-4174-b613-89f4bc517780 · outbound

This paper cites Shallow attention network for polyp segmentation.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation Shallow attention network for polyp segmentation

Reference 26

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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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Pith citing papers

No inbound Pith citation observations are available.