Paper Citation Record · LEDGER

A Voxel-Wise Uncertainty-Guided Framework for Glioma Segmentation Using Spherical Projection-Based U-Net and Localized Refinement in Multi-Parametric MRI

As of 22 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2507.15622.

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

pith.paper-citation-record.v1
2507.15622 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:32:35.151057Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

9 of 9 outbound references displayed

verified exact1
verified fuzzy5
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c878601c-f23e-4db2-9176-73cbfa2e1643 · outbound

This paper cites an unresolved cited work.

A Voxel-Wise Uncertainty-Guided Framework for Glioma Segmentation Using Spherical Projection-Based U-Net and Localized Refinement in Multi-Parametric MRI Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:32:35.334120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1a4cc43c-f15a-41f6-96f6-aedab3909639 · outbound

This paper cites (𝑖,𝑗) is derived by averaging these 1024 predictions, with a mean probability value exceeding 0.5 binarized as the target volume. Segmentation uncertainty 𝑈!.

A Voxel-Wise Uncertainty-Guided Framework for Glioma Segmentation Using Spherical Projection-Based U-Net and Localized Refinement in Multi-Parametric MRI (𝑖,𝑗) is derived by averaging these 1024 predictions, with a mean probability value exceeding 0.5 binarized as the target volume. Segmentation uncertainty 𝑈!

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:35.319387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7c7a58fe-56a3-465e-81f7-8df318003230 · outbound

This paper cites ,𝑤)"), subject to the non-negativity constraint 𝑤!.

A Voxel-Wise Uncertainty-Guided Framework for Glioma Segmentation Using Spherical Projection-Based U-Net and Localized Refinement in Multi-Parametric MRI ,𝑤)"), subject to the non-negativity constraint 𝑤!

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:35.304916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6d929ec1-ccee-44d8-8990-102f7c73023a · outbound

This paper cites =0.5848 and 𝑤).

A Voxel-Wise Uncertainty-Guided Framework for Glioma Segmentation Using Spherical Projection-Based U-Net and Localized Refinement in Multi-Parametric MRI =0.5848 and 𝑤)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:35.289125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 041557fc-b510-4b1e-969a-70d28c18a123 · outbound

This paper cites = 0.5848 > 𝑤!.

A Voxel-Wise Uncertainty-Guided Framework for Glioma Segmentation Using Spherical Projection-Based U-Net and Localized Refinement in Multi-Parametric MRI = 0.5848 > 𝑤!

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:35.273476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a53c0fe2-189f-4ebf-853f-0e7f902adf10 · outbound

This paper cites The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI.

A Voxel-Wise Uncertainty-Guided Framework for Glioma Segmentation Using Spherical Projection-Based U-Net and Localized Refinement in Multi-Parametric MRI The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:35.136106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 255a588e-95aa-4ff2-8139-7e47ba17f61e · outbound

This paper cites MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures.

A Voxel-Wise Uncertainty-Guided Framework for Glioma Segmentation Using Spherical Projection-Based U-Net and Localized Refinement in Multi-Parametric MRI MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T15:32:35.241295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e8a1c690-ff6d-4f65-ba3a-bbd1d64292b2 · outbound

This paper cites Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution.

A Voxel-Wise Uncertainty-Guided Framework for Glioma Segmentation Using Spherical Projection-Based U-Net and Localized Refinement in Multi-Parametric MRI Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:32:35.217500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 83418e40-b441-406c-8a5f-49619179843e · outbound

This paper cites Optimum weighted multimodal medical image fusion using particle swarm optimization.

A Voxel-Wise Uncertainty-Guided Framework for Glioma Segmentation Using Spherical Projection-Based U-Net and Localized Refinement in Multi-Parametric MRI Optimum weighted multimodal medical image fusion using particle swarm optimization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:35.256476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.