Paper Citation Record · LEDGER

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation

As of 16 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:1908.04126.

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

pith.paper-citation-record.v1
1908.04126 v3

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:53:52.725573Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

49 of 49 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 74d63d3b-c05a-4ee0-abbf-d2d21bfa14d1 · outbound

This paper cites an unresolved cited work.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:53:53.683458Z

Source-reported events for the cited work

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Observation 40abb701-276c-41db-a7ff-ce06945766ad · outbound

This paper cites Altahawi and N.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Altahawi and N

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:53.669112Z

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Observation 3458e3d8-ee39-4513-a696-4c003a0788bd · outbound

This paper cites Ambellan, A.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Ambellan, A

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:53.653259Z

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Observation 49fe51f2-91a5-47d5-8285-be5a46e04986 · outbound

This paper cites Semi-Supervised and Task-Driven Data Augmentation.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Semi-Supervised and Task-Driven Data Augmentation

Reference 4

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Source-reported events for the cited work

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Observation 0626f326-0ae0-4a64-aa69-e686fd685dee · outbound

This paper cites Chaitanya, N.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Chaitanya, N

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:53.637029Z

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Observation 15a73feb-e80b-48ec-8682-f456069bbe00 · outbound

This paper cites an unresolved cited work.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:53:53.621275Z

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Observation 05d10b19-aa24-473b-968d-6e1254f82896 · outbound

This paper cites an unresolved cited work.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:53:53.606733Z

Source-reported events for the cited work

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Observation 550e546b-2107-4bc1-ac9b-5bc182af8877 · outbound

This paper cites Chen et al.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Chen et al

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:53.591119Z

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Observation 8e0bab75-2b71-47ae-a0c3-6a20f276c1de · outbound

This paper cites Chopra, S.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Chopra, S

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:53.575819Z

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Observation 886e2b4a-a299-4798-bd8c-4437711a1208 · outbound

This paper cites an unresolved cited work.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:53:53.560117Z

Source-reported events for the cited work

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Observation 3d2bf31e-1879-4152-b106-8cf85e22bc0e · outbound

This paper cites Daume III and D.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Daume III and D

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:53.544728Z

Source-reported events for the cited work

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Observation ec33a4c3-b318-45ff-916d-328cd9ec125c · outbound

This paper cites Technical Considerations for Semantic Segmentation in MRI using Convolutional Neural Networks.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Technical Considerations for Semantic Segmentation in MRI using Convolutional Neural Networks

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:53:52.951615Z

Source-reported events for the cited work

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Observation e1ed24e7-caea-4d49-a3c7-e4c509e8f414 · outbound

This paper cites Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:53:52.928800Z

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Observation 0116293f-594e-45d6-8a1f-c6f7e41a3eeb · outbound

This paper cites Eaton-Rosen, F.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Eaton-Rosen, F

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:53.529488Z

Source-reported events for the cited work

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Observation 6648780c-e1de-4c17-a59e-6cdb77e85a5e · outbound

This paper cites an unresolved cited work.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:53:53.513226Z

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Observation d380ea96-236b-4f2f-a900-e976e24fd682 · outbound

This paper cites Esteva, B.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Esteva, B

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:53.498623Z

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Observation 1c5d14fd-770b-4c96-b9d3-28f33b9c23da · outbound

This paper cites Esteva, A.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Esteva, A

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:53.482748Z

Source-reported events for the cited work

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Observation 3698bf2d-3dcb-4145-91bf-8f5b5b67f206 · outbound

This paper cites Ganin et al.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Ganin et al

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:53.466690Z

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Observation ae056d92-fd12-4392-b0de-15e93044181e · outbound

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Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Unresolved cited work

Reference 19

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This paper cites Karani, K.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Karani, K

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:53.433974Z

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Observation 0dfb864d-e45e-4213-a7c2-75924974c7ed · outbound

This paper cites Kellgren and J.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Kellgren and J

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:53.418680Z

Source-reported events for the cited work

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Observation 106392e4-e59d-462e-977d-24a1303cf056 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Adam: A Method for Stochastic Optimization

Reference 22

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Source-reported events for the cited work

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Observation f86dc873-3d62-4d25-b0ba-0dc0295bd080 · outbound

This paper cites Regularization for Deep Learning: A Taxonomy.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Regularization for Deep Learning: A Taxonomy

Reference 23

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Source-reported events for the cited work

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Observation b2105f14-8a8a-48ab-bb3a-5f65c9005918 · outbound

This paper cites Kumar, A.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Kumar, A

Reference 24

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Observation b05d1df9-581a-47b1-a278-38cc0fb97920 · outbound

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Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Unresolved cited work

Reference 25

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Observation 158cc470-e71a-45b1-b957-cfd8958c18dc · outbound

This paper cites Liu et al.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Liu et al

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:53.373502Z

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Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Unresolved cited work

Reference 27

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Observation ffd68efe-b55b-4e51-9ef7-486c03f83361 · outbound

This paper cites Norman, V.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Norman, V

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:53.343201Z

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Observation 7479f0da-debc-46e3-9e59-34e3eb64542f · outbound

This paper cites Paszke et al.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Paszke et al

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:53.328060Z

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This paper cites Peterfy, E.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Peterfy, E

Reference 30

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This paper cites Podlipsk ´a et al.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Podlipsk ´a et al

Reference 31

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This paper cites Ronneberger, P.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Ronneberger, P

Reference 32

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Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:53:53.264577Z

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Observation 0c549ee3-e7a8-4c33-a8cf-7d61ba96b0b1 · outbound

This paper cites Stammberger et al.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Stammberger et al

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:53.118740Z

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Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Unresolved cited work

Reference 35

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This paper cites Tack and S.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Tack and S

Reference 36

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Observation 7425fb5d-0865-40f6-8cb8-85da8331c793 · outbound

This paper cites Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography

Reference 37

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This paper cites Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data

Reference 38

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Source-reported events for the cited work

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This paper cites Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks

Reference 39

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Observation 1ef93b81-d621-4c86-83dc-49df500538cf · outbound

This paper cites Tiulpin, J.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Tiulpin, J

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:53.071563Z

Source-reported events for the cited work

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Observation 953d33c9-6f1c-41f5-86d2-a554cabd54b8 · outbound

This paper cites Tsai et al.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Tsai et al

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:53.053468Z

Source-reported events for the cited work

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Observation 438daeb0-b9e5-45cd-987a-a7ee96cdeaed · outbound

This paper cites Deep Domain Confusion: Maximizing for Domain Invariance.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Deep Domain Confusion: Maximizing for Domain Invariance

Reference 42

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Source-reported events for the cited work

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Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:53:53.036858Z

Source-reported events for the cited work

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Observation 1a5fda0e-44d2-434f-828b-ab30a3bbd602 · outbound

This paper cites Manifold Mixup: Better Representations by Interpolating Hidden States.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Manifold Mixup: Better Representations by Interpolating Hidden States

Reference 44

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Source-reported events for the cited work

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Observation a2346874-e899-40e0-a1ef-c132ab649b8b · outbound

This paper cites an unresolved cited work.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:53:53.021083Z

Source-reported events for the cited work

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Observation ced3795e-cb4a-405a-964a-ddbc90ee091c · outbound

This paper cites DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:53:52.780582Z

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Observation 592e37f4-da4d-4b95-8593-b051712da833 · outbound

This paper cites Yaguchi, F.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Yaguchi, F

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:53.004316Z

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Observation a04a4344-3312-49c7-9bf2-b7c4f32c6683 · outbound

This paper cites Zhang, M.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Zhang, M

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:52.987104Z

Source-reported events for the cited work

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Observation c62d360b-41c2-42a9-bd79-9b57bff105e3 · outbound

This paper cites an unresolved cited work.

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Unresolved cited work

Reference 2015

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:53:53.245047Z

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.