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Paper Citation Record · LEDGER

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2507.07443.

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

pith.paper-citation-record.v1
2507.07443 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:45:43.704791Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved9
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c9e23a7-fad7-4ab9-854b-6d67bfd2ee9e · outbound

This paper cites an unresolved cited work.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Unresolved cited work

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 12dab549-13dd-455d-af28-2947982d8051 · outbound

This paper cites Detection performance theory for ultrasound imaging systems,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Detection performance theory for ultrasound imaging systems,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8ffabcf2-3014-4f5b-a186-8ffd9080392a · outbound

This paper cites Spatial prediction filtering of acoustic clutter and random noise in medical ultrasound imaging,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Spatial prediction filtering of acoustic clutter and random noise in medical ultrasound imaging,

Reference 3

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verified fuzzy
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Source-reported events for the cited work

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Observation 4869e2e9-3fdb-467a-a43b-e93f276ae658 · outbound

This paper cites Shifting more attention to breast lesion segmentation in ultrasound videos,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Shifting more attention to breast lesion segmentation in ultrasound videos,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5773e7f9-8fee-4409-bc4c-5bd4dac2810a · outbound

This paper cites Rethinking breast lesion segmentation in ultrasound: a new video dataset and a baseline network,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Rethinking breast lesion segmentation in ultrasound: a new video dataset and a baseline network,

Reference 5

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Source-reported events for the cited work

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Observation bd0a6ef5-f033-4356-8852-75331e212c4c · outbound

This paper cites Lgr- net: Local-global reciprocal network for uterine fibroid segmentation in ultrasound videos,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Lgr- net: Local-global reciprocal network for uterine fibroid segmentation in ultrasound videos,

Reference 6

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Source-reported events for the cited work

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Observation c457a4ac-430c-4e22-a136-d1eea2296bfd · outbound

This paper cites Towards a benchmark for colorectal cancer segmentation in endorectal ultrasound videos: Dataset and model development,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Towards a benchmark for colorectal cancer segmentation in endorectal ultrasound videos: Dataset and model development,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f1baf665-3276-4f18-95af-33c7e6cc1696 · outbound

This paper cites Cross-domain object detection through coarse-to-fine feature adaptation,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Cross-domain object detection through coarse-to-fine feature adaptation,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bc36826e-cd99-40c4-b6bd-3c3414f0fbe7 · outbound

This paper cites Tcgnet: Type-correlation guidance for salient object detection,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Tcgnet: Type-correlation guidance for salient object detection,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-06T18:45:43.874100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f9c40173-2546-415b-ba4b-003191647735 · outbound

This paper cites Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules,

Reference 10

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no resolver link, observed 2026-08-06T18:45:43.655237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e0a3ae6f-ff5e-4c1c-bf86-ed6003190656 · outbound

This paper cites Res2net: A new multi-scale backbone architecture,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Res2net: A new multi-scale backbone architecture,

Reference 11

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Source-reported events for the cited work

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Observation fa7f6f38-fd1a-4429-90d7-a08508d918dc · outbound

This paper cites Microsegnet: A deep learning approach for prostate segmentation on micro-ultrasound images,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Microsegnet: A deep learning approach for prostate segmentation on micro-ultrasound images,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 91df3eeb-146a-42c0-9822-6c3fd8effcf0 · outbound

This paper cites F 3net: fusion, feedback and focus for salient object detection,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation F 3net: fusion, feedback and focus for salient object detection,

Reference 13

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Source-reported events for the cited work

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Observation e2d4e2ba-ba23-433e-86c0-856f572e6494 · outbound

This paper cites Deep learning for segmentation using an open large-scale dataset in 2d echocardiography,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Deep learning for segmentation using an open large-scale dataset in 2d echocardiography,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T18:45:43.847182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2512407d-8ae5-4e67-bb30-f59c4fa8bc1d · outbound

This paper cites Pranet: Parallel reverse attention network for polyp segmentation,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Pranet: Parallel reverse attention network for polyp segmentation,

Reference 15

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no resolver link, observed 2026-08-06T18:45:43.665585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e569833b-e1d3-445e-9c0c-7ef78e2d6e3d · outbound

This paper cites Progressively normalized self-attention network for video polyp seg- mentation,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Progressively normalized self-attention network for video polyp seg- mentation,

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 065775be-291c-460f-bba9-15af797fed94 · outbound

This paper cites Lesion-aware dynamic kernel for polyp segmentation,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Lesion-aware dynamic kernel for polyp segmentation,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 77d6e692-5f0f-4a29-b12a-00921c8170b8 · outbound

This paper cites Lssnet: A method for colon polyp segmentation based on local feature supplementation and shallow fea- ture supplementation,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Lssnet: A method for colon polyp segmentation based on local feature supplementation and shallow fea- ture supplementation,

Reference 18

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Source-reported events for the cited work

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Observation c5f450b0-d35e-4c2e-8d8e-abcd4f637d71 · outbound

This paper cites Sali: Short- term alignment and long-term interaction network for colonoscopy video polyp segmentation,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Sali: Short- term alignment and long-term interaction network for colonoscopy video polyp segmentation,

Reference 19

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Source-reported events for the cited work

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Observation d0a180a0-91dd-432d-a131-b78ae650dace · outbound

This paper cites Pyramidal feature shrinking for salient object detection,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Pyramidal feature shrinking for salient object detection,

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 52d66a4e-adf4-4ccd-918b-62ef717e48d9 · outbound

This paper cites Implicit motion handling for video camouflaged object detection,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Implicit motion handling for video camouflaged object detection,

Reference 21

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1b7bfe11-ef66-47eb-b723-8ec018d7fa63 · outbound

This paper cites Channel split convolutional neural network (chasnet) for thermal image super-resolution,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Channel split convolutional neural network (chasnet) for thermal image super-resolution,

Reference 22

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raw_fallback, observed 2026-08-06T18:45:43.794907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 45e011a8-7285-4b58-9345-00b379e8bfdf · outbound

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

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation U-net: Convolutional networks for biomedical image segmentation,

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1defe67a-076d-4e22-a897-d59553bd1b62 · outbound

This paper cites Enhancing row-column array (rca)-based 3d ultrasound vascular imaging with spatial-temporal similarity weighting,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Enhancing row-column array (rca)-based 3d ultrasound vascular imaging with spatial-temporal similarity weighting,

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2a2f02e5-ecfe-4d87-9926-298a10424e70 · outbound

This paper cites Attention-guided learning with feature reconstruction for skin lesion diagnosis using clinical and ultrasound images,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Attention-guided learning with feature reconstruction for skin lesion diagnosis using clinical and ultrasound images,

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 08b27976-5982-479d-9076-86c1d762f1bf · outbound

This paper cites Prior-knowledge embedded u-net-based fully automatic vessel wall volume measurement of the carotid artery in 3d ultrasound image,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Prior-knowledge embedded u-net-based fully automatic vessel wall volume measurement of the carotid artery in 3d ultrasound image,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0eaf6252-0013-4670-94e7-3a6845ffc3d9 · outbound

This paper cites Attention is all you need,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Attention is all you need,

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e5d88ae8-a8bb-49e1-94fc-085a800018d4 · outbound

This paper cites Automatic deep learning semantic segmentation of ul- trasound thyroid cineclips using recurrent fully convolutional networks,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Automatic deep learning semantic segmentation of ul- trasound thyroid cineclips using recurrent fully convolutional networks,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:45:43.762614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 91cebca0-3da6-4514-bec6-4dd1eb641bef · outbound

This paper cites Memsam: taming segment anything model for echocardiography video segmentation,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Memsam: taming segment anything model for echocardiography video segmentation,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-06T18:45:43.755432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:45:43.694037Z digest=sha256:d7ed2a30bbfc6aae5b9abede87f6caafd0a55f4003b6e0e5be5fd7f3f93755c6

Observation 7cbcd41a-36ee-43d0-8e87-f8e98210f2af · outbound

This paper cites Segment anything,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Segment anything,

Reference 30

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unresolved
no resolver link, observed 2026-08-06T18:45:43.696437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 19fef195-aec1-4bd7-905e-7ca639be76b8 · outbound

This paper cites Vivim: a video vision mamba for ultrasound video segmentation,.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Vivim: a video vision mamba for ultrasound video segmentation,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:45:43.740977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 473532de-c98d-418a-805c-ce22e192412a · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation SAM 2: Segment Anything in Images and Videos

Reference 32

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unresolved
no resolver link, observed 2026-08-06T18:45:43.701527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:45:43.701527Z digest=sha256:daba37dde539947569d038fa468f18eb20df9c8eaeb54ec2ea7d0b9a8438e8aa

Observation 897196e1-dddb-44dc-aea0-0ece90c87b88 · outbound

This paper cites Medical SAM 2: Segment medical images as video via Segment Anything Model 2.

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 33

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unresolved
no resolver link, observed 2026-08-06T18:45:43.704791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.