Paper Citation Record · LEDGER

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing

As of 21 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2504.12215.

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

pith.paper-citation-record.v1
2504.12215 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:38:51.451707Z

measured 21 of 21 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

21 of 21 outbound references displayed

verified exact1
verified fuzzy18
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 25663c6a-88cf-4d7a-b3a9-709748b34a62 · outbound

This paper cites The lung image database con- sortium (lidc) and image database resource initiative (idri): a completed reference database of lung nodules on ct scans,.

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing The lung image database con- sortium (lidc) and image database resource initiative (idri): a completed reference database of lung nodules on ct scans,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:51.990824Z

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 08aa8d46-a2f1-4518-825c-6848d9455389 · outbound

This paper cites Lung tumor segmentation with missing tumor labels,.

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing Lung tumor segmentation with missing tumor labels,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:51.979611Z

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 64a60f61-5ab5-4bd6-95be-fbd6789f95b1 · outbound

This paper cites Fully automatic one-step segmentation of pulmonary tumors from multi-source heterogeneous ct imaging using deep convolutional neural networks,.

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing Fully automatic one-step segmentation of pulmonary tumors from multi-source heterogeneous ct imaging using deep convolutional neural networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:51.969599Z

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 21e082c9-e0dc-42e3-8ec2-bcde2fd46cf0 · outbound

This paper cites Lung tumor segmentation on ct scans using boundary-aware neural networks,.

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing Lung tumor segmentation on ct scans using boundary-aware neural networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:51.958415Z

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 9d500226-a107-45ac-9865-7535d1d1d15d · outbound

This paper cites nnu-net: Self-adapting framework for u-net-based medical image segmentation,.

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing nnu-net: Self-adapting framework for u-net-based medical image segmentation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:51.835406Z

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 9fe5fb09-874e-4a44-8dd0-99050dab4729 · outbound

This paper cites Second opinion needed: communicating uncertainty in medical machine learning,.

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing Second opinion needed: communicating uncertainty in medical machine learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:51.727689Z

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 f9cd605d-6eae-49ba-83cd-46ffb2276c90 · outbound

This paper cites Deep learning tech- niques for medical image segmentation: achievements and challenges,.

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing Deep learning tech- niques for medical image segmentation: achievements and challenges,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:51.717902Z

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 c9bc3834-c99f-4b4b-9efe-300b2813cee4 · outbound

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

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing U-net: Convolutional networks for biomedical image segmentation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:51.706609Z

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 13840d10-fc6c-44d7-b46d-d6628779b1b3 · outbound

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

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing Unetr: Transformers for 3d medical image segmentation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:51.694729Z

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 4f17d176-477c-46fa-83f2-14c913d1e702 · outbound

This paper cites Self-supervised pre-training of swin transformers for 3d medical image analysis,.

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing Self-supervised pre-training of swin transformers for 3d medical image analysis,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:51.683342Z

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 e6be4eb1-8b74-47ee-b6db-fd47220d7a41 · outbound

This paper cites H-denseunet: Hybrid densely connected unet for liver and tumor segmentation from ct volumes,.

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing H-denseunet: Hybrid densely connected unet for liver and tumor segmentation from ct volumes,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:51.672387Z

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 b4245d5c-cfdf-4139-a256-0e9f69633ab9 · outbound

This paper cites Cascaded unet for kidney tumor segmentation,.

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing Cascaded unet for kidney tumor segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:51.660013Z

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 43ac4900-146e-47f1-b640-01a9ee1cbd5b · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision?.

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing What uncertainties do we need in bayesian deep learning for computer vision?

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:51.647589Z

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 50fd8a8e-b4f2-43a1-9402-d37eaceace51 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning,.

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing Dropout as a bayesian approximation: Representing model uncertainty in deep learning,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:51.427270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 662396f9-d8f5-4822-bfc7-9ca93b3e2fbd · outbound

This paper cites Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks,.

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:51.629260Z

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 4102d189-52ea-489c-b6e4-cf3cbfc9d9dc · outbound

This paper cites Confidence calibration and predictive uncertainty estimation for deep medical image segmentation,.

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing Confidence calibration and predictive uncertainty estimation for deep medical image segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:51.617808Z

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 a9622f2c-9982-46b6-a8e1-bf81ba3afb61 · outbound

This paper cites Self-supervised learning for organs at risk and tumor segmentation with uncertainty quantification,.

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing Self-supervised learning for organs at risk and tumor segmentation with uncertainty quantification,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:51.606425Z

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 575a124d-7c4e-46c8-8c52-da4f5ece3e65 · outbound

This paper cites Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem,.

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:51.515610Z

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 86fe736f-b655-4397-a6ac-3c01819e3cb0 · outbound

This paper cites Automatic Liver Lesion Detection using Cascaded Deep Residual Networks.

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing Automatic Liver Lesion Detection using Cascaded Deep Residual Networks

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:38:51.485898Z

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 2c304144-990c-4b3d-9f0d-4600fd0b47eb · outbound

This paper cites A survey on deep learning in medical image analysis,.

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing A survey on deep learning in medical image analysis,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:51.448289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc5465bb-8d30-4433-86dc-8b3c90a64ab3 · outbound

This paper cites Common limitations of performance metrics in biomedical image analysis,.

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing Common limitations of performance metrics in biomedical image analysis,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:51.497050Z

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.

Pith citing papers

No inbound Pith citation observations are available.