Paper Citation Record · LEDGER

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation

As of 15 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2505.17544.

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

pith.paper-citation-record.v1
2505.17544 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:48:51.294419Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

32 of 32 outbound references displayed

verified exact0
verified fuzzy21
unresolved11
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59d67fb5-fe9d-42b9-a1e1-31ca12c56f20 · outbound

This paper cites Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize

Reference 1

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Source-reported events for the cited work

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Observation d1a9adab-7285-4a5e-94b0-f05b8a0bcbeb · outbound

This paper cites In: European conference on computer vision.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation In: European conference on computer vision

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:56.817626Z

Source-reported events for the cited work

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Observation 5cde3d2f-9d21-4b16-be05-62e5ef355b2e · outbound

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

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:47.093208Z

Source-reported events for the cited work

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Observation 31f69c20-97ff-444c-9f08-a556006072f8 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2024).

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:56.652297Z

Source-reported events for the cited work

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Observation 862d1f21-85b4-4298-9e32-084a1362b7c2 · outbound

This paper cites When Semantic Segmentation Meets Frequency Aliasing.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation When Semantic Segmentation Meets Frequency Aliasing

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:47.347151Z

Source-reported events for the cited work

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Observation c6a55a45-083d-42ce-a7a2-e5bdd446f041 · outbound

This paper cites In: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (W ACV).

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation In: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (W ACV)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:56.454204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 41ee59af-8ead-4f7f-85dc-d7f2f54f9a7a · outbound

This paper cites In: International Workshop on Deep Learning in Medical Image Analysis.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation In: International Workshop on Deep Learning in Medical Image Analysis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:56.302277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b253348c-4764-48dd-8318-9d00af464491 · outbound

This paper cites Pattern Recognition 64, 255–267 (2017).

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation Pattern Recognition 64, 255–267 (2017)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:56.122856Z

Source-reported events for the cited work

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Observation 14fd0633-295e-4667-8c1c-cbb7639a549a · outbound

This paper cites Advances in neural information processing systems 30 (2017).

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation Advances in neural information processing systems 30 (2017)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:55.934312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 01d153bb-7677-40a5-926c-66550c47146a · outbound

This paper cites In: European Conference on Computer Vision.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation In: European Conference on Computer Vision

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:55.650565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7e571e97-02bd-4952-b9aa-d8c37c0192e5 · outbound

This paper cites Advances in Neural Information Processing Systems35, 20592–20606 (2022).

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation Advances in Neural Information Processing Systems35, 20592–20606 (2022)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:55.383446Z

Source-reported events for the cited work

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Observation 05432179-e366-4eac-b7cf-aa152ac8d9a6 · outbound

This paper cites In: Proceedings of the IEEE/CVF winter conference on applications of computer vision.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation In: Proceedings of the IEEE/CVF winter conference on applications of computer vision

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:55.116733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f81baf77-f94f-413c-aa9b-53bca8a8a559 · outbound

This paper cites In: ICASSP 2020- 2020 IEEE international conference on acoustics, speech and signal processing (ICASSP).

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation In: ICASSP 2020- 2020 IEEE international conference on acoustics, speech and signal processing (ICASSP)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:54.885584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c00d1cbc-246e-4933-9c62-f258cac11234 · outbound

This paper cites Nature meth- ods 18(2), 203–211 (2021).

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation Nature meth- ods 18(2), 203–211 (2021)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:54.644302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b95224b5-516b-45d6-be95-621ed83c8f49 · outbound

This paper cites In: Inter- national Conference on Medical Image Computing and Computer-Assisted Intervention.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation In: Inter- national Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:54.368511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4ecd281e-f993-4f78-86e5-dff765ef5735 · outbound

This paper cites IEEE transactions on medical imaging 37(12), 2663–2674 (2018).

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation IEEE transactions on medical imaging 37(12), 2663–2674 (2018)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:54.125829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f06ca38b-7d65-4b0f-abcf-f9ff01842f7e · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:53.860477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d50a3e92-4b6f-4c73-b130-8ecd65004da1 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:53.590430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9d5ceb9c-93be-47b6-9c9e-614731b09208 · outbound

This paper cites In: European Conference on Computer Vision.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation In: European Conference on Computer Vision

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:53.366719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 77767480-3d25-46aa-a435-0bc005cc5959 · outbound

This paper cites In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III 18.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III 18

Reference 20

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Source-reported events for the cited work

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Observation f3024d83-ffa7-433f-aa6e-37733a725e87 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intel- ligence.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation In: Proceedings of the AAAI Conference on Artificial Intel- ligence

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:53.159476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a8090ab8-4c03-4644-a4b8-2203e26be708 · outbound

This paper cites Advances in neural information processing systems 37, 6246–6266 (2024).

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation Advances in neural information processing systems 37, 6246–6266 (2024)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:52.876860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3bbc9556-31cc-4f64-8e66-4e665249c7e8 · outbound

This paper cites Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:49.919295Z

Source-reported events for the cited work

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Observation 6002b986-e069-457c-866c-b53bbe66d2a9 · outbound

This paper cites Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:50.110091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89162dbf-c98c-4ed3-aa73-1f5d513d11d1 · outbound

This paper cites IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Design.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Design

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:50.230631Z

Source-reported events for the cited work

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Observation dbee3175-4f20-4098-b3b9-80c44a0f81f2 · outbound

This paper cites an unresolved cited work.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:48:52.667433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 97b7f51e-b2bd-423a-8ec7-1f97f58716b0 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:52.403781Z

Source-reported events for the cited work

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Observation 62bc36fb-13c5-4df0-8fca-58bf287390e0 · outbound

This paper cites Training Deeper Convolutional Networks with Deep Supervision.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation Training Deeper Convolutional Networks with Deep Supervision

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:50.697082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d275b0d-127b-4162-b6ab-2865cca93646 · outbound

This paper cites Pattern recognition 143, 109819 (2023).

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation Pattern recognition 143, 109819 (2023)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:52.139432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 987b0186-cec3-4351-b2bd-b4bff19cf7c1 · outbound

This paper cites IEEE Geoscience and Remote Sensing Letters 15(5), 749–753 (2018).

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation IEEE Geoscience and Remote Sensing Letters 15(5), 749–753 (2018)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:51.851260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1af8995c-a0bf-43a7-9339-5bfbf67e955d · outbound

This paper cites nnFormer: Interleaved Transformer for Volumetric Segmentation.

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:51.148477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5118d175-5d72-4761-835a-3ac5f08902d1 · outbound

This paper cites IEEE Transactions on Medical Imaging 39(6), 1856–1867 (2020).

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation IEEE Transactions on Medical Imaging 39(6), 1856–1867 (2020)

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:51.294419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.