Paper Citation Record · LEDGER

CNN-based Segmentation of Medical Imaging Data

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1701.03056.

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

pith.paper-citation-record.v1
1701.03056 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:47:09.951638Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T22:19:07.115304Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5bef9eaa-8126-4210-a113-0adddeeb26f0 · inbound

Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation cites this paper.

Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation CNN-based Segmentation of Medical Imaging Data

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T13:46:33.342489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9caed6c4-e646-4878-8b0f-8487f4e00b49 · inbound

Image based cellular contractile force evaluation with small-world network inspired CNN: SW-UNet cites this paper.

Image based cellular contractile force evaluation with small-world network inspired CNN: SW-UNet CNN-based Segmentation of Medical Imaging Data

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-14T11:39:10.386873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ecf6faf-358a-490e-a261-bcced8936b12 · inbound

Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity cites this paper.

Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity CNN-based Segmentation of Medical Imaging Data

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-14T11:32:40.531384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4403ddea-80de-4cf0-ab0c-dac2e159daf1 · inbound

3D U$^2$-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation cites this paper.

3D U$^2$-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation CNN-based Segmentation of Medical Imaging Data

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T05:10:00.524527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b70d9b2a-acfc-4f2f-bcb7-ee6a9cd8cc91 · inbound

Quantifying Haptic Affection of Car Door through Data-Driven Analysis of Force Profile cites this paper.

Quantifying Haptic Affection of Car Door through Data-Driven Analysis of Force Profile CNN-based Segmentation of Medical Imaging Data

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:25.348416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86b59e4e-c3a5-4ec1-808b-8f7b4d7f6bee · inbound

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation cites this paper.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation CNN-based Segmentation of Medical Imaging Data

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T20:14:37.797711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e92b0d63-8af7-44f4-aab5-938bf2eeb5d4 · inbound

Pixel-level Certified Explanations via Randomized Smoothing cites this paper.

Pixel-level Certified Explanations via Randomized Smoothing CNN-based Segmentation of Medical Imaging Data

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T19:47:09.951638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98c8aa59-2358-4b36-b436-24c8af8fc3ad · inbound

UAVD-Mamba: Deformable Token Fusion Vision Mamba for Multimodal UAV Detection cites this paper.

UAVD-Mamba: Deformable Token Fusion Vision Mamba for Multimodal UAV Detection CNN-based Segmentation of Medical Imaging Data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:12:07.932306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59ae5ca8-4ef3-4a17-86ef-88a1e840531c · inbound

ASM-UNet: Adaptive Scan Mamba Integrating Group Commonalities and Individual Variations for Fine-Grained Segmentation cites this paper.

ASM-UNet: Adaptive Scan Mamba Integrating Group Commonalities and Individual Variations for Fine-Grained Segmentation CNN-based Segmentation of Medical Imaging Data

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:19:07.208809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.