Paper Citation Record · LEDGER

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images

As of 22 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2504.13415.

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

pith.paper-citation-record.v1
2504.13415 v1

Coverage vector

measured 32 of 32 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-16T12:12:08.676179Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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Source: cited_works

Reference resolution

32 of 32 outbound references displayed

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External citation measurements

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Outbound references

Observation 9b19bef5-9661-451a-b5fa-61f3e072c3fc · outbound

This paper cites an unresolved cited work.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:12:09.075194Z

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Observation 6e73ae32-0500-4c53-915d-56672b2f5db3 · outbound

This paper cites H., Razavi, R., Taylor, A.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images H., Razavi, R., Taylor, A

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:09.063203Z

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Observation 5c62bf15-07bf-40bc-8fb8-5510604f0455 · outbound

This paper cites K., Mukisa, R.: Applying deep learning techniques in automated analysis of echocardiograms, CMRs and phonocardiograms for the detection and localization of cardiac diseases.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images K., Mukisa, R.: Applying deep learning techniques in automated analysis of echocardiograms, CMRs and phonocardiograms for the detection and localization of cardiac diseases

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:09.051971Z

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Observation 1755bb4e-dce3-4be9-bea9-0282ef6392ee · outbound

This paper cites C.: Cardiac MRI evaluation of myocardial disease.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images C.: Cardiac MRI evaluation of myocardial disease

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:09.039513Z

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Observation 4587ff1c-a03a-4042-8e29-afcb8dfd068b · outbound

This paper cites Circulation.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images Circulation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:09.028050Z

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Observation b2ec0a68-d87d-4464-8f5c-36c37a335a65 · outbound

This paper cites Radiographics, 32(5), 1381−1398 (2012).

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images Radiographics, 32(5), 1381−1398 (2012)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:09.017166Z

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Observation c06bdf44-0c9d-4edb-a077-f5d272c0aed6 · outbound

This paper cites R., Kheradvar, A., Jafarkhani, H.: Automatic Segmentation of the Right Ventricle from Cardiac MRI using a Learning‐based Approach.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images R., Kheradvar, A., Jafarkhani, H.: Automatic Segmentation of the Right Ventricle from Cardiac MRI using a Learning‐based Approach

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:09.005651Z

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Observation 6786efb1-8929-4660-9712-b8182ca82fe8 · outbound

This paper cites Frontiers in Cardiovascular Medicine, 7, Article 25 (2020).

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images Frontiers in Cardiovascular Medicine, 7, Article 25 (2020)

Reference 8

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Observation 57d5281a-fa2d-4651-8d9f-87a299d730b7 · outbound

This paper cites In: Nawab, N., Hornegger, J., Wells, W.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images In: Nawab, N., Hornegger, J., Wells, W

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:08.982703Z

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Observation bb75d1f6-fbb9-478b-bb2f-437cb3777b0c · outbound

This paper cites an unresolved cited work.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:12:08.971349Z

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Observation 27aeb7c3-45cc-4f94-a15b-24d65894d046 · outbound

This paper cites A., Krishnamurthi, G.: Fully Convolutional Multi-Scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images A., Krishnamurthi, G.: Fully Convolutional Multi-Scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers

Reference 11

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Observation d5f706e7-a316-4a76-9884-2ef24b0239f2 · outbound

This paper cites -M.: Cardiac Segmentation with Strong Anatomical Guarantees.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images -M.: Cardiac Segmentation with Strong Anatomical Guarantees

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:08.947843Z

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Observation fe59dad4-94df-44ca-b5da-684e58951047 · outbound

This paper cites an unresolved cited work.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:12:08.935769Z

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Observation b1f8dfe1-6f87-4235-b69a-f4105b78e212 · outbound

This paper cites In: Pop, M., Sermesant M., Jodoin, P.-M., Lalande, A., et al.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images In: Pop, M., Sermesant M., Jodoin, P.-M., Lalande, A., et al

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:08.924296Z

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Observation 1b0905ce-2b85-460e-a947-3fe8caffbb8c · outbound

This paper cites Journal of Advances in Applied and Computational Mathematics, 9, 76-85 (2022).

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images Journal of Advances in Applied and Computational Mathematics, 9, 76-85 (2022)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:08.903160Z

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Observation 337a1722-aa2b-4cf8-bc2b-0f5c3b3374bc · outbound

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

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images Attention U-Net: Learning Where to Look for the Pancreas

Reference 17

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Observation 116817ea-7eaa-42ef-802b-d53d6248203a · outbound

This paper cites -M.-R., Tajbakhsh, N., Liang, J.: UNET++ : Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images -M.-R., Tajbakhsh, N., Liang, J.: UNET++ : Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

Reference 18

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Observation 61502a31-1d4a-4ae0-8aa3-328aea08d2a6 · outbound

This paper cites F., Qin, J., et el.: Dual Attention Enhancement Feature Fusion Network for Segmentation and Quantitative Analysis of Pediatric Echocardiography.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images F., Qin, J., et el.: Dual Attention Enhancement Feature Fusion Network for Segmentation and Quantitative Analysis of Pediatric Echocardiography

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:08.879493Z

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Observation ad18a971-dd52-48c3-b555-07ba59f073ca · outbound

This paper cites K., Horowitz, T.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images K., Horowitz, T

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:08.866563Z

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Observation a77cbd47-88ec-460d-97af-8d10c6798f57 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(1), 185-207 (2013).

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(1), 185-207 (2013)

Reference 21

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Observation a86ef351-8e65-42b5-b734-ea23f60c4bfb · outbound

This paper cites V., Csiszer, E.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images V., Csiszer, E

Reference 22

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Observation 2bd5cb13-9998-4aba-b6c1-08ed6bac862a · outbound

This paper cites N., et al.: Attention is all you need.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images N., et al.: Attention is all you need

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:08.832022Z

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Observation a829b494-21bb-444a-a6ad-7fc0e51e913b · outbound

This paper cites S.: CBAM: convolutional block attention module.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images S.: CBAM: convolutional block attention module

Reference 24

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Observation 57a311b9-a64f-4cbf-9412-7da70de29c85 · outbound

This paper cites 7132-7141.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images 7132-7141

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:08.807133Z

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Observation 7f94477d-a5cf-4ae4-9b81-4b706b35f671 · outbound

This paper cites In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019, pp.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019, pp

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:08.794484Z

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Observation 09144f48-c9d4-4126-9a70-ab8823a92efb · outbound

This paper cites Mathematics, 10(10), 1750 (2022).

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images Mathematics, 10(10), 1750 (2022)

Reference 27

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Observation e5c74864-36c8-4b88-a3f1-924c5054c5ab · outbound

This paper cites BAM: Bottleneck Attention Module.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images BAM: Bottleneck Attention Module

Reference 28

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This paper cites Y., Xie, S., Gallagher, P., Zhang, Z., & Tu, Z.: Deeply Supervised Nets.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images Y., Xie, S., Gallagher, P., Zhang, Z., & Tu, Z.: Deeply Supervised Nets

Reference 29

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Observation f5bd4f1c-5f0f-4cca-b6ed-37ab56c3cc7f · outbound

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DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:12:08.755915Z

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Observation c5db7f24-497c-4104-bc3e-0a5ae5162ec3 · outbound

This paper cites an unresolved cited work.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:12:08.743321Z

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Observation 34e4a42e-8898-493a-8390-1aa4edc85ba7 · outbound

This paper cites In: Zhuang, X., Li, L.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images In: Zhuang, X., Li, L

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:08.913844Z

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Observation 3124612b-ab95-45b4-a55f-3f40fb897270 · outbound

This paper cites Nature Communications, 12(1):715, doi: 10.1038/s41467-021-20966-2.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images Nature Communications, 12(1):715, doi: 10.1038/s41467-021-20966-2

Reference 33

Resolution: verified exact; doi, observed 2026-08-16T12:12:08.708019Z

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Pith citing papers

No inbound Pith citation observations are available.