Paper Citation Record · LEDGER

Residual Connection Networks in Medical Image Processing: Exploration of ResUnet++ Model Driven by Human Computer Interaction

As of 22 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2412.20709.

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

pith.paper-citation-record.v1
2412.20709 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:21:24.736271Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

11 of 11 outbound references displayed

verified exact0
verified fuzzy9
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9cd43394-223c-4897-8857-aed4a63dbc0e · outbound

This paper cites Deep Residual Learning for Image Recognition.

Residual Connection Networks in Medical Image Processing: Exploration of ResUnet++ Model Driven by Human Computer Interaction Deep Residual Learning for Image Recognition

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.003340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5ebb1ccf-427e-47e9-b647-ceae46b8d5c9 · outbound

This paper cites U -Net: Convolutional Networks for Biomedical Image Segmentation.

Residual Connection Networks in Medical Image Processing: Exploration of ResUnet++ Model Driven by Human Computer Interaction U -Net: Convolutional Networks for Biomedical Image Segmentation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:24.980904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 70acedb2-2306-4968-b0bd-be81f4be1a63 · outbound

This paper cites RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans.

Residual Connection Networks in Medical Image Processing: Exploration of ResUnet++ Model Driven by Human Computer Interaction RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:24.958698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 653a7928-5d1b-4921-90a2-6f2da24f268c · outbound

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

Residual Connection Networks in Medical Image Processing: Exploration of ResUnet++ Model Driven by Human Computer Interaction Attention U-Net: Learning Where to Look for the Pancreas

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:24.938621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06a08e8d-0aa1-42b4-b2c9-3db012173f87 · outbound

This paper cites UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation.

Residual Connection Networks in Medical Image Processing: Exploration of ResUnet++ Model Driven by Human Computer Interaction UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:24.918528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5ad5bfc8-d0aa-419e-b523-457c1a8be384 · outbound

This paper cites Pyramid Scene Parsing Network.

Residual Connection Networks in Medical Image Processing: Exploration of ResUnet++ Model Driven by Human Computer Interaction Pyramid Scene Parsing Network

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:24.897950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6b564e56-5233-49f3-bb67-6975eae04a27 · outbound

This paper cites DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.

Residual Connection Networks in Medical Image Processing: Exploration of ResUnet++ Model Driven by Human Computer Interaction DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:24.879736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d568e063-633c-4be9-85f0-2bd9371620fa · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Residual Connection Networks in Medical Image Processing: Exploration of ResUnet++ Model Driven by Human Computer Interaction Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:24.719520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb497168-b6ad-4389-a723-f74e940ff594 · outbound

This paper cites Encoder -Decoder with Atrous Separable Convolution for Semantic Image Segmentation.

Residual Connection Networks in Medical Image Processing: Exploration of ResUnet++ Model Driven by Human Computer Interaction Encoder -Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:24.859982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 244d0a68-3ea4-4f8b-ba7e-80c47950c38a · outbound

This paper cites MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept.

Residual Connection Networks in Medical Image Processing: Exploration of ResUnet++ Model Driven by Human Computer Interaction MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:24.838266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 40145f03-c34a-43e7-990a-6b23e12ed6c6 · outbound

This paper cites VM-UNet: Vision Mamba UNet for Medical Image Segmentation.

Residual Connection Networks in Medical Image Processing: Exploration of ResUnet++ Model Driven by Human Computer Interaction VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:24.736271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.