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Paper Citation Record · LEDGER

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation

As of 13 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2411.14250.

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

pith.paper-citation-record.v1
2411.14250 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:26:10.256537Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

22 of 22 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ae89172a-2876-4d07-862e-d499a88daddf · outbound

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

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation U-net: Convolutional networks for biomedical image segmentation,

Reference 1

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Source-reported events for the cited work

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Observation 3885a743-cf47-4899-a264-3ea7d5cd7435 · outbound

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

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation Unet++: A nested u-net architecture for medical image segmenta- tion,

Reference 2

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Unavailable: canonical work link unavailable.

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Observation 3b3931de-ad10-4b04-8e25-0c5ea18b9095 · outbound

This paper cites Road extraction by deep residual u- net,.

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation Road extraction by deep residual u- net,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ae1bdca5-d32a-4035-8ad8-a8db27bd82d5 · outbound

This paper cites Fully dense unet for 2-d sparse photoacoustic tomography artifact removal,.

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation Fully dense unet for 2-d sparse photoacoustic tomography artifact removal,

Reference 4

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Observation 0bce802a-f0cd-4b23-8481-32b57a37bc00 · outbound

This paper cites Automatic thyroid ultra- sound image segmentation based on u-shaped network,.

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation Automatic thyroid ultra- sound image segmentation based on u-shaped network,

Reference 5

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Source-reported events for the cited work

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Observation f3f32dff-1b37-4f55-8e96-02bb52343992 · outbound

This paper cites Unext: Mlp-based rapid medical image segmentation network,.

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation Unext: Mlp-based rapid medical image segmentation network,

Reference 6

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Unavailable: canonical work link unavailable.

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Observation c1142984-4d95-446e-8818-806b49378c45 · outbound

This paper cites Contrans: Improving transformer with convolutional attention for medical image segmentation,.

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation Contrans: Improving transformer with convolutional attention for medical image segmentation,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4cc3e616-d451-4651-9f58-8c82a5b093c4 · outbound

This paper cites Acc-unet: A completely convolutional unet model for the 2020s,.

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation Acc-unet: A completely convolutional unet model for the 2020s,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d1a0bb95-75c8-429b-95dd-c8eb5164040b · outbound

This paper cites Segnetr: Rethinking the local-global interactions and skip connections in u-shaped networks,.

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation Segnetr: Rethinking the local-global interactions and skip connections in u-shaped networks,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0027720e-b55b-4902-9e3c-fc66e0c0794b · outbound

This paper cites Global guidance network for breast lesion segmentation in ultrasound images,.

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation Global guidance network for breast lesion segmentation in ultrasound images,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation abce6528-7833-4bdc-a2c8-2547844e100c · outbound

This paper cites Wavelet u-net++ for accurate lung nodule segmentation in ct scans: Improving early detection and diagnosis of lung cancer,.

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation Wavelet u-net++ for accurate lung nodule segmentation in ct scans: Improving early detection and diagnosis of lung cancer,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 75601295-11fc-4b2c-aa3d-3d4ed8717ce0 · outbound

This paper cites Learning active contour models based on self-attention for breast ultrasound image segmentation,.

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation Learning active contour models based on self-attention for breast ultrasound image segmentation,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 60d37754-b9a2-48ba-8f7e-6bde482da5a2 · outbound

This paper cites Dataset of breast ultrasound images,.

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation Dataset of breast ultrasound images,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a6952515-d816-4d8a-a9d7-06ecc46e1d35 · outbound

This paper cites An open access thyroid ultrasound image database,.

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation An open access thyroid ultrasound image database,

Reference 14

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Unavailable: canonical work link unavailable.

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Observation 092f5e02-89d4-4fd4-a64b-dc585f5528e0 · outbound

This paper cites Aau-net: an adaptive attention u-net for breast lesions segmentation in ultrasound images,.

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation Aau-net: an adaptive attention u-net for breast lesions segmentation in ultrasound images,

Reference 15

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Observation 1edbf1f3-5741-4f58-b7ba-f36f9b1d13dd · outbound

This paper cites Auto-Encoding Variational Bayes.

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation Auto-Encoding Variational Bayes

Reference 16

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Unavailable: canonical work link unavailable.

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Observation 8cf25bbe-f26f-4f02-b718-7705cdd78b1a · outbound

This paper cites Gart: Gaussian articulated template models,.

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation Gart: Gaussian articulated template models,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e68c853f-7f65-441e-a2ec-e15ac8ce9e2a · outbound

This paper cites Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers,.

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers,

Reference 18

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Observation 41c93ffb-e4b1-45de-a5d9-fd869f070876 · outbound

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

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 19

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Observation 9e7bc74a-02b2-4238-a238-6ec8fb92fa18 · outbound

This paper cites Unetr: Transformers for 3d medical image segmentation,.

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation Unetr: Transformers for 3d medical image segmentation,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0e4758fc-05d0-47a3-af77-3f94e0b890a2 · outbound

This paper cites Medical transformer: Gated axial-attention for medical image segmentation,.

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation Medical transformer: Gated axial-attention for medical image segmentation,

Reference 21

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Source-reported events for the cited work

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Observation 99806c22-73cb-4d01-85bc-05b049095c7d · outbound

This paper cites Swin-unet: Unet-like pure transformer for medical image segmenta- tion,.

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation Swin-unet: Unet-like pure transformer for medical image segmenta- tion,

Reference 22

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Pith citing papers

No inbound Pith citation observations are available.