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Paper Citation Record · LEDGER

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis

As of 20 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:1909.01498.

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

pith.paper-citation-record.v1
1909.01498 v3

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:19:26.975462Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

37 of 37 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 413c3400-3cff-4c52-bfa9-320b059f89b9 · outbound

This paper cites an unresolved cited work.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Unresolved cited work

Reference 1

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Observation e4e15302-fe30-438f-8f53-c853758798a6 · outbound

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

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Reference 2

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Source-reported events for the cited work

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Observation 66b319af-8a35-4a4c-86da-101ed76bd7ef · outbound

This paper cites an unresolved cited work.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Unresolved cited work

Reference 3

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Observation 76e0087e-2705-41f4-bdff-4e5319b5c96f · outbound

This paper cites an unresolved cited work.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Unresolved cited work

Reference 4

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Observation 30c92dd0-3cd9-4d3d-8a30-01131fcf1f6a · outbound

This paper cites an unresolved cited work.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Unresolved cited work

Reference 5

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Observation a33b44b2-3ce6-4d09-bf85-18f6d772faeb · outbound

This paper cites an unresolved cited work.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Unresolved cited work

Reference 6

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Observation a8278e45-798b-46d4-96c8-2c7b034ff385 · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Towards A Rigorous Science of Interpretable Machine Learning

Reference 7

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Source-reported events for the cited work

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Observation 34872c55-7d7f-47f2-a6a5-27ccdc6f156d · outbound

This paper cites an unresolved cited work.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Unresolved cited work

Reference 8

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Source-reported events for the cited work

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Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Unresolved cited work

Reference 9

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Observation 9bfaaf96-77b1-46c1-9a5d-ed34fafdb1fb · outbound

This paper cites A., Ko, J., Swetter, S.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis A., Ko, J., Swetter, S

Reference 10

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Observation f8a065fe-c11e-46a1-81f1-e1037230acca · outbound

This paper cites and Ghahramani, Z.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis and Ghahramani, Z

Reference 11

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Observation 336ed31f-b47b-463d-8b58-69f4d80800b4 · outbound

This paper cites H., Bau, D., Yuan, B.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis H., Bau, D., Yuan, B

Reference 12

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Observation 42dd06af-6b78-4cca-8c58-999cd7fcc0fd · outbound

This paper cites What do we need to build explainable AI systems for the medical domain?.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis What do we need to build explainable AI systems for the medical domain?

Reference 13

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Source-reported events for the cited work

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Observation a5af2865-fad3-4a40-9d62-cbccc38d493b · outbound

This paper cites and Yovel, G.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis and Yovel, G

Reference 14

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Source-reported events for the cited work

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Observation bd829c3d-54c9-498c-ba9a-ecce9afb7fc1 · outbound

This paper cites Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

Reference 15

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Observation b893c567-bb74-4cbe-8d70-5f178d545140 · outbound

This paper cites and Gal, Y.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis and Gal, Y

Reference 16

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Observation 77a4203e-291a-4e6a-b193-d02ca5d3c00f · outbound

This paper cites S., Goldbaum, M., Cai, W., Valentim, C.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis S., Goldbaum, M., Cai, W., Valentim, C

Reference 17

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Observation ecff15e0-d2db-4264-ab0b-1da4f4a453af · outbound

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Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Unresolved cited work

Reference 18

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Observation ba771852-464c-4010-bdf8-336911f3af3d · outbound

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Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Unresolved cited work

Reference 19

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Observation 0dc607da-76a1-4d5c-9be8-f650b61ad13c · outbound

This paper cites S., Berens, P., and Wahl, S.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis S., Berens, P., and Wahl, S

Reference 20

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Observation b22f05f1-fe56-46aa-b6d4-45817e3701fe · outbound

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Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Demystifying Neural Style Transfer

Reference 21

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This paper cites H., Jakab, A., Bauer, S., Kalpathy-Cramer, J., Farahani, K., Kirby, J., et al.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis H., Jakab, A., Bauer, S., Kalpathy-Cramer, J., Farahani, K., Kirby, J., et al

Reference 22

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Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Unresolved cited work

Reference 23

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Observation 73ae5b4f-cce3-444d-8911-6e6110c8065f · outbound

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Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Unresolved cited work

Reference 24

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This paper cites Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks

Reference 25

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Observation 0714bbeb-dbe3-40f0-b512-90207cd1fdf0 · outbound

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Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Unresolved cited work

Reference 26

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Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Unresolved cited work

Reference 27

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This paper cites T., Walsh, V ., and Duchaine, B.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis T., Walsh, V ., and Duchaine, B

Reference 28

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This paper cites R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., and Batra, D.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., and Batra, D

Reference 29

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Observation fb41f0ec-36dd-48ab-9bf7-32679bdcf796 · outbound

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Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Unresolved cited work

Reference 30

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Observation 81b7f011-feca-4dda-b56e-3a29c9992f27 · outbound

This paper cites and Chan, T.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis and Chan, T

Reference 31

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This paper cites F., Reps, J., Kai, J., Garibaldi, J.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis F., Reps, J., Kai, J., Garibaldi, J

Reference 32

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d6a3adf8-0714-4465-b843-5a33c0855b32 · outbound

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Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Unresolved cited work

Reference 33

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Source-reported events for the cited work

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Observation d635bb4f-67e3-424f-813d-58b8ee3948cf · outbound

This paper cites R., Wu, T.-L., Sun, L., Shen, W.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis R., Wu, T.-L., Sun, L., Shen, W

Reference 34

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Source-reported events for the cited work

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Observation 3a353094-2ff9-4fbd-a26b-3c765c820b28 · outbound

This paper cites and Bartels, A.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis and Bartels, A

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5b6d16fb-0daa-40d3-b233-13b2aa7ef827 · outbound

This paper cites and Zhu, S.-C.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis and Zhu, S.-C

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:19:27.086700Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:19:26.971530Z digest=sha256:15cf8c9f6ad5f50fabbf100d4cf481e5ccb555e4c8f9c5e09f3a4f7bd0229027

Observation 55ba1f86-5d32-470c-b677-f9bfc3f2d711 · outbound

This paper cites Object Detectors Emerge in Deep Scene CNNs.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Object Detectors Emerge in Deep Scene CNNs

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-14T05:19:26.975462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.