Paper Citation Record · LEDGER

Deep Active Learning for Axon-Myelin Segmentation on Histology Data

As of 5 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:1907.05143.

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

pith.paper-citation-record.v1
1907.05143 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T23:14:43.251905Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

18 of 18 outbound references displayed

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verified fuzzy18
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e4aebedd-4985-4abc-8b77-ad5298fc4490 · outbound

This paper cites Mechanisms of white matter damage in multiple sclerosis.

Deep Active Learning for Axon-Myelin Segmentation on Histology Data Mechanisms of white matter damage in multiple sclerosis

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:15:03.581450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 96809fb7-7466-4901-8f4f-4c00605d5967 · outbound

This paper cites From de- myelination to remyelination: the road toward therapies for spinal cord injury.

Deep Active Learning for Axon-Myelin Segmentation on Histology Data From de- myelination to remyelination: the road toward therapies for spinal cord injury

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:15:03.533451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 66d68f63-96e9-4cb5-b064-6ec30cec5490 · outbound

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

Deep Active Learning for Axon-Myelin Segmentation on Histology Data U-Net: Convolutional networks for biomedical image segmentation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:15:03.564940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e0384764-aec3-40c1-8ab2-7d581bc76b9d · outbound

This paper cites AxonDeepSeg: automatic axon and myelin seg- mentation from microscopy data using convolutional neural networks.

Deep Active Learning for Axon-Myelin Segmentation on Histology Data AxonDeepSeg: automatic axon and myelin seg- mentation from microscopy data using convolutional neural networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:15:03.569473Z

Source-reported events for the cited work

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Observation b6b768d2-96af-4760-a36f-a1f90a8fb743 · outbound

This paper cites A Transfer-Learning approach to image segmentation across scanners by maximizing distribution similarity.

Deep Active Learning for Axon-Myelin Segmentation on Histology Data A Transfer-Learning approach to image segmentation across scanners by maximizing distribution similarity

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:15:03.560834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7dee9743-8a81-49d3-b9fe-98887f7bc797 · outbound

This paper cites Weakly-and Semi-Supervised learning of a deep convolutional network for semantic image segmentation.

Deep Active Learning for Axon-Myelin Segmentation on Histology Data Weakly-and Semi-Supervised learning of a deep convolutional network for semantic image segmentation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:15:03.541337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2664c939-5ca4-49f1-8c93-531ba5620c65 · outbound

This paper cites Active Learning.

Deep Active Learning for Axon-Myelin Segmentation on Histology Data Active Learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:15:03.556689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 70b88e3d-3ad3-45cb-b96c-d1c5edfa9af4 · outbound

This paper cites Suggestive annotation: A deep active learning framework for biomedical image segmentation.

Deep Active Learning for Axon-Myelin Segmentation on Histology Data Suggestive annotation: A deep active learning framework for biomedical image segmentation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:15:03.548544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 53667d8e-eecd-4802-90a9-e98b07faa776 · outbound

This paper cites Membrane segmen- tation via active learning with deep networks.

Deep Active Learning for Axon-Myelin Segmentation on Histology Data Membrane segmen- tation via active learning with deep networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:15:03.529075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2c560fc9-a5c4-4264-858c-346a295b4ac0 · outbound

This paper cites The MNIST database of hand- written digits.

Deep Active Learning for Axon-Myelin Segmentation on Histology Data The MNIST database of hand- written digits

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:15:03.593339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f461d149-6207-44ee-8721-87aac6e556d0 · outbound

This paper cites International skin imaging collaboration: Melanoma project website.

Deep Active Learning for Axon-Myelin Segmentation on Histology Data International skin imaging collaboration: Melanoma project website

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:15:03.537433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2c632474-cd59-4078-a7ef-762e649f3bd8 · outbound

This paper cites Uncertainty in Deep Learning.

Deep Active Learning for Axon-Myelin Segmentation on Histology Data Uncertainty in Deep Learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:15:03.552415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 44faa710-6a06-4c82-af22-e8be1452ff0d · outbound

This paper cites Deep bayesian active learning with image data.

Deep Active Learning for Axon-Myelin Segmentation on Histology Data Deep bayesian active learning with image data

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:15:03.585359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dd34252d-c938-4e4a-84aa-bce12ca68d18 · outbound

This paper cites Dropout: A simple way to pre- vent neural net- works from overﬁtting.

Deep Active Learning for Axon-Myelin Segmentation on Histology Data Dropout: A simple way to pre- vent neural net- works from overﬁtting

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:15:03.589397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b3a9fdc8-74c0-4ca4-8734-9e7d8e573c8d · outbound

This paper cites Active Deep Learning for Medical Imaging Segmentation.

Deep Active Learning for Axon-Myelin Segmentation on Histology Data Active Deep Learning for Medical Imaging Segmentation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:15:03.596875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3b8d5c18-0b7e-4adc-8a0c-cd8396a51c37 · outbound

This paper cites High-resolution whole-brain staining for electron microscopic circuit reconstruction.

Deep Active Learning for Axon-Myelin Segmentation on Histology Data High-resolution whole-brain staining for electron microscopic circuit reconstruction

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:15:03.544867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 940f168a-76de-44bd-9aee-cb21c07ffea0 · outbound

This paper cites White matter microscopy database, Jun 2019.

Deep Active Learning for Axon-Myelin Segmentation on Histology Data White matter microscopy database, Jun 2019

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:15:03.573710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f08b8a60-fa94-433d-900a-1e2b84d7c9b9 · outbound

This paper cites Risk versus uncertainty in deep learning: Bayes, bootstrap and the dangers of dropout.

Deep Active Learning for Axon-Myelin Segmentation on Histology Data Risk versus uncertainty in deep learning: Bayes, bootstrap and the dangers of dropout

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:15:03.577378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.