Paper Citation Record · LEDGER

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks

As of 16 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:1908.04250.

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

pith.paper-citation-record.v1
1908.04250 v3

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:51:26.721435Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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External citation measurements

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Outbound references

Observation 0346cd77-5874-4201-8f19-db53e048d82a · outbound

This paper cites 114--123.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks 114--123

Reference 1

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Observation 38540d8a-0cb8-416b-b940-1933cbaffa9b · outbound

This paper cites 479--489.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks 479--489

Reference 2

Resolution: verified exact; doi, observed 2026-08-14T13:51:27.159912Z

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Observation 3851c46d-c66e-4dae-bbff-3f101f23a606 · outbound

This paper cites an unresolved cited work.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks Unresolved cited work

Reference 3

Resolution: verified exact; raw_fallback, observed 2026-08-14T13:51:27.910971Z

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Observation a7ec89b1-1d80-4864-9b29-969b34ef96ac · outbound

This paper cites R97--R129.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks R97--R129

Reference 4

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Observation d68ae6ba-673f-435e-ac79-13ae94b40ac1 · outbound

This paper cites 803--820.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks 803--820

Reference 5

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Observation a47c6c98-fe43-4781-9826-28594f77b4c5 · outbound

This paper cites 1993--2024.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks 1993--2024

Reference 6

Resolution: verified exact; raw_fallback, observed 2026-08-14T13:51:27.787862Z

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Observation 905b54ee-5dea-4e7a-8f84-ea13d61f46e4 · outbound

This paper cites 317--324.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks 317--324

Reference 7

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Observation 97a17a5d-9640-4e96-b3f6-bf664096923e · outbound

This paper cites Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Reference 8

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Observation 3a0e1cb2-56ab-4a5f-9ef5-9898b1e7916c · outbound

This paper cites ` A Generative Model for Brain Tumor Segmentation in Multi-Modal Images '.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` A Generative Model for Brain Tumor Segmentation in Multi-Modal Images '

Reference 9

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Observation 16d9975b-649b-4465-a2b0-7250d57dd7c0 · outbound

This paper cites 1240--1251.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks 1240--1251

Reference 10

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Observation 8c594e6e-311a-4b51-97fb-49bcb7cf6123 · outbound

This paper cites an unresolved cited work.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks Unresolved cited work

Reference 11

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Observation 1c2bb11e-3f30-4919-aec8-6c78356f8b0c · outbound

This paper cites ` Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation '.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation '

Reference 12

Resolution: verified exact; doi, observed 2026-08-14T13:51:27.068697Z

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Observation 2802f9c5-02ac-4d4a-b39c-0c8782dc931b · outbound

This paper cites ` Multi-Scale 3D Convolutional Neural Networks for Lesion Segmentation in Brain MRI '.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` Multi-Scale 3D Convolutional Neural Networks for Lesion Segmentation in Brain MRI '

Reference 13

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Observation 79231f85-1001-47ec-a978-1df2f2c52c23 · outbound

This paper cites ` Fully convolutional networks for semantic segmentation '.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` Fully convolutional networks for semantic segmentation '

Reference 14

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Observation e7a1d861-265f-42de-8c06-41b0bacf0af6 · outbound

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

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` U-Net: Convolutional Networks for Biomedical Image Segmentation '

Reference 15

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Observation 8fc33487-236c-407f-9dfe-4c0826d07601 · outbound

This paper cites ` Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks '.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks '

Reference 16

Resolution: verified exact; doi, observed 2026-08-14T13:51:26.976932Z

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Observation 4e3f2840-9fa4-4c0f-ab94-01ac918c39c2 · outbound

This paper cites ` Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge '.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge '

Reference 17

Resolution: verified exact; doi, observed 2026-08-14T13:51:26.939208Z

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Observation bebe5ec0-26b1-465c-b6c3-9d987756a5f4 · outbound

This paper cites ` Identity Mappings in Deep Residual Networks '.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` Identity Mappings in Deep Residual Networks '

Reference 18

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Observation 0de4cd85-9494-4840-acdd-ee54fd36c591 · outbound

This paper cites ` 3D MRI Brain Tumor Segmentation Using Autoencoder Regularization '.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` 3D MRI Brain Tumor Segmentation Using Autoencoder Regularization '

Reference 19

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Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` No New-Net '

Reference 20

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Observation 770d3ce2-5168-4d3b-beb6-cf5559ea573e · outbound

This paper cites ` 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation '.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation '

Reference 21

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Observation 403d3496-fcdd-4210-951a-0d3345aa15c7 · outbound

This paper cites ` Ensembles of Densely-Connected CNNs with Label-Uncertainty for Brain Tumor Segmentation '.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` Ensembles of Densely-Connected CNNs with Label-Uncertainty for Brain Tumor Segmentation '

Reference 22

Resolution: verified exact; doi, observed 2026-08-14T13:51:26.838052Z

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Observation e4fcb850-3ce8-4ca8-bbc4-3c6b0ea59c6b · outbound

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Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` Densely Connected Convolutional Networks '

Reference 23

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Observation 2e9d0530-01ac-4f2a-8fad-3c765a037a48 · outbound

This paper cites ` Learning Contextual and Attentive Information for Brain Tumor Segmentation '.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` Learning Contextual and Attentive Information for Brain Tumor Segmentation '

Reference 24

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Observation 7618f113-510f-480a-a056-9eb943fa4b4c · outbound

This paper cites ` V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation '.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation '

Reference 25

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Observation 80260d1c-02cd-4c18-9dfa-cd6758fac404 · outbound

This paper cites ` Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations '.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations '

Reference 26

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Observation 29a09de2-910f-447e-ba34-35ebb40ede1d · outbound

This paper cites ` Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift '.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift '

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:51:28.164135Z

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Observation 10408669-dc9b-4b6a-bb24-5063581359ae · outbound

This paper cites Available from: https://keras.io/, accessed July 2019.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks Available from: https://keras.io/, accessed July 2019

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:51:28.141376Z

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Observation 2f7c2ce7-a03d-4ff5-8b1b-989203f4fdba · outbound

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Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` TensorFlow: A system for large-scale machine learning '

Reference 29

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Observation d16a8875-bfa1-4b64-8d32-0f0c223da6cf · outbound

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Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks Adam: A Method for Stochastic Optimization

Reference 30

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Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks Unresolved cited work

Reference 31

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This paper cites ` Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-GBM collection ', 2017.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-GBM collection ', 2017

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:51:28.064590Z

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Observation d47a9829-466a-4edd-84d4-c8a3cd9723c6 · outbound

This paper cites ` Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-LGG collection ', 2017.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks ` Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-LGG collection ', 2017

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:51:28.037070Z

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Observation 47eab06d-8aa8-4761-8399-77ecb3ea3558 · outbound

This paper cites Available from: https://ipp.cbica.upenn.edu/, accessed July 2019.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks Available from: https://ipp.cbica.upenn.edu/, accessed July 2019

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:51:28.012984Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fdf40cff-d4ff-4a77-a1d7-a6bbbbc2b467 · outbound

This paper cites 1116--1128.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks 1116--1128

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:51:27.988612Z

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Observation 5575c64a-c003-4edf-b55c-e049d17dd6d7 · outbound

This paper cites Available from: http://www.itksnap.org/pmwiki/pmwiki.php, accessed July 2019.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks Available from: http://www.itksnap.org/pmwiki/pmwiki.php, accessed July 2019

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:51:27.965235Z

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Observation c17da1a6-9d55-4b16-bb7d-a6a8d9a98bb2 · outbound

This paper cites Available from: https://www.cbica.upenn.edu/BraTS18/lboardValidation.html, accessed July 2019.

Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks Available from: https://www.cbica.upenn.edu/BraTS18/lboardValidation.html, accessed July 2019

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:51:27.941142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.