Paper Citation Record · LEDGER

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa

As of 22 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2501.04734.

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

pith.paper-citation-record.v1
2501.04734 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:43:36.718649Z

measured 16 of 16 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

16 of 16 outbound references displayed

verified exact1
verified fuzzy13
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7415f5f2-a9f1-4318-aa45-6cce76a0232b · outbound

This paper cites The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T21:43:36.077933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1aa66e8-7497-4b6b-a4db-a33eb87c9edb · outbound

This paper cites A survey of mri-based brain tumor segmentation methods.

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa A survey of mri-based brain tumor segmentation methods

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:37.968118Z

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 96e70706-b302-44f4-bc2d-b5ffe5ba4619 · outbound

This paper cites Brain tumor segmentation using an ensemble of 3d u-nets and overall survival prediction using radiomic features.Frontiers in computational neuroscience, 14:25, 2020.

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa Brain tumor segmentation using an ensemble of 3d u-nets and overall survival prediction using radiomic features.Frontiers in computational neuroscience, 14:25, 2020

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:37.913696Z

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 190ebc58-a41c-481a-ade0-87f79186befd · outbound

This paper cites A framework for advancing sustainable magnetic resonance imaging access in africa.NMR in Biomedicine, 36(3):e4846, 2023.

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa A framework for advancing sustainable magnetic resonance imaging access in africa.NMR in Biomedicine, 36(3):e4846, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:37.822388Z

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 ee82c9eb-39db-430d-9c0a-4dceae364ae8 · outbound

This paper cites Stroke lesion segmentation from low-quality and few-shot mris via similarity-weighted self-ensembling framework.

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa Stroke lesion segmentation from low-quality and few-shot mris via similarity-weighted self-ensembling framework

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:37.745860Z

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 3b8debc7-22c0-48ba-a2da-5185bc7ffd6c · outbound

This paper cites Deep learning for low-field to high-field mr: image quality transfer with probabilistic decimation simulator.

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa Deep learning for low-field to high-field mr: image quality transfer with probabilistic decimation simulator

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:37.715559Z

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 1b9fc6a4-a5ad-4320-9ea4-66ff43b3c1a5 · outbound

This paper cites Improving Image Quality In Low-Field MRI With Deep Learning.International Conference on Information Photonics, September 2021.

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa Improving Image Quality In Low-Field MRI With Deep Learning.International Conference on Information Photonics, September 2021

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:37.660145Z

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 86188f84-ede7-47a6-96e2-d1ace1660a06 · outbound

This paper cites Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data.

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:43:36.874332Z

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 a0b4f84d-8f55-47ca-854b-a7012da3df7e · outbound

This paper cites Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation.

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:37.628227Z

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 7e52e937-e86b-4d09-a6f6-ca13309812c4 · outbound

This paper cites Deep learning-based single image super-resolution for low-field mr brain images.Scientific Reports, 12(1):6362, 2022.

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa Deep learning-based single image super-resolution for low-field mr brain images.Scientific Reports, 12(1):6362, 2022

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:37.466695Z

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 7550d29a-21bc-49a0-ac22-b32995a52067 · outbound

This paper cites Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five african countries.

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five african countries

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:37.369715Z

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 d394e0a2-cbfb-4ead-8764-0a21ba8c95aa · outbound

This paper cites nnu-net: a self-configuring method for deep learning-based biomedical image segmentation.Nature Methods, 18(2):203–211, 2021.

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa nnu-net: a self-configuring method for deep learning-based biomedical image segmentation.Nature Methods, 18(2):203–211, 2021

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:37.258313Z

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 c61c1031-1db7-4e78-a834-13f9e86deb84 · outbound

This paper cites Brats continuous evaluation sub-challenge 2021.

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa Brats continuous evaluation sub-challenge 2021

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:37.232441Z

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 3304f3f4-4322-4316-92cc-11f2698f4e3d · outbound

This paper cites Optimized u-net for brain tumor segmentation.

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa Optimized u-net for brain tumor segmentation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:37.093403Z

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 8366c4a0-a5c7-4aab-82e1-202925005923 · outbound

This paper cites A Neural Algorithm of Artistic Style.

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa A Neural Algorithm of Artistic Style

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:43:36.709081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8c9a8ee-375b-4a9e-b946-407881ebc73a · outbound

This paper cites Very deep convolutional networks for large-scale image recognition.

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa Very deep convolutional networks for large-scale image recognition

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:37.039611Z

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.