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Paper Citation Record · LEDGER

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations

As of 15 August 2026, this Paper Citation Record lists 100 of 111 outbound references and 0 inbound Pith citation observations for arXiv:2411.10686.

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

pith.paper-citation-record.v1
2411.10686 v1

Coverage vector

measured 100 of 111 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:30:14.749058Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

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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

100 of 111 outbound references displayed

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External citation measurements

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Outbound references

Observation 1e8c1d4c-5cf0-4d1c-a8f9-3d9a4dccbd18 · outbound

This paper cites Debiasing skin lesion datasets and models? not so fast.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Debiasing skin lesion datasets and models? not so fast

Reference 1

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Observation c9293b40-2940-4da1-8f80-2593bd96391c · outbound

This paper cites Debiasing skin lesion datasets and models? not so fast.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Debiasing skin lesion datasets and models? not so fast

Reference 2

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Observation 71429d5d-0e18-4e73-9b43-40316eaa4904 · outbound

This paper cites Reaching the hard-to-reach: a systematic review of strategies for improving health and medical research with socially disadvantaged groups.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Reaching the hard-to-reach: a systematic review of strategies for improving health and medical research with socially disadvantaged groups

Reference 3

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Observation 5076f231-7735-4f90-88ac-ddaa1a0296db · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Instructpix2pix: Learning to follow image editing instructions

Reference 4

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Observation c7572f37-0e6e-445f-bc4a-e06822d4270e · outbound

This paper cites Ai for radiographic covid-19 detection selects shortcuts over signal.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Ai for radiographic covid-19 detection selects shortcuts over signal

Reference 6

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Observation b48dc72c-be0b-44d4-9ad9-022858db6323 · outbound

This paper cites Diffusion models beat gans on image synthesis.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Diffusion models beat gans on image synthesis

Reference 7

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Observation 3223ff36-2229-4be7-9197-2386837eec08 · outbound

This paper cites Using language to extend to unseen domains.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Using language to extend to unseen domains

Reference 8

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Observation e817dc20-eb8b-4f8f-8fdd-0ff05bebb2d0 · outbound

This paper cites Diversify your vision datasets with automatic diffusion-based augmentation.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Diversify your vision datasets with automatic diffusion-based augmentation

Reference 9

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Observation 5545cef7-feec-495e-93a0-84fb26af2e50 · outbound

This paper cites Unsupervised domain adaptation by backpropagation.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Unsupervised domain adaptation by backpropagation

Reference 11

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Observation 85bdd2dc-8c69-48a7-ad55-5b70594fafd1 · outbound

This paper cites Domain-adversarial training of neural networks.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Domain-adversarial training of neural networks

Reference 12

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Observation e90f5b03-d52f-468f-a85d-f04aab64e0c6 · outbound

This paper cites Umix: Improving importance weighting for subpopulation shift via uncertainty-aware mixup.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Umix: Improving importance weighting for subpopulation shift via uncertainty-aware mixup

Reference 14

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Observation 68920fe8-e799-4734-9194-8d99ef35c75b · outbound

This paper cites Densely connected convolutional networks.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Densely connected convolutional networks

Reference 15

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Observation b561961a-50dd-45eb-b746-2ddcd5081404 · outbound

This paper cites Key challenges for delivering clinical impact with artificial intelligence.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Key challenges for delivering clinical impact with artificial intelligence

Reference 17

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Observation af4b25b7-915e-4010-977f-8c572c69996e · outbound

This paper cites Wilds: A benchmark of in-the-wild distribution shifts.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Wilds: A benchmark of in-the-wild distribution shifts

Reference 20

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Observation 8ce383a2-7e5e-4df2-a59c-260d4506397e · outbound

This paper cites Deep domain generalization via conditional invariant adversarial networks.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Deep domain generalization via conditional invariant adversarial networks

Reference 21

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Observation 41471c35-9d9d-4daa-a53b-ff2624d9535a · outbound

This paper cites Torchvision: Pytorch's computer vision library.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Torchvision: Pytorch's computer vision library

Reference 23

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Observation 8e8f580b-e1f6-4bf4-b469-371c18504da4 · outbound

This paper cites Spuriosity rankings: Sorting data to measure and mitigate biases.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Spuriosity rankings: Sorting data to measure and mitigate biases

Reference 24

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Observation 855e7538-a601-47c7-b906-2dd07a76e42e · outbound

This paper cites Learning from failure: De-biasing classifier from biased classifier.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Learning from failure: De-biasing classifier from biased classifier

Reference 25

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Observation 56b7a0f8-5da8-4188-82d5-8acb3d44ac52 · outbound

This paper cites Uncovering and correcting shortcut learning in machine learning models for skin cancer diagnosis.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Uncovering and correcting shortcut learning in machine learning models for skin cancer diagnosis

Reference 26

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Observation 19d7bf8a-fadd-43e4-8db6-968a1bb4c1c4 · outbound

This paper cites Hidden stratification causes clinically meaningful failures in machine learning for medical imaging.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Hidden stratification causes clinically meaningful failures in machine learning for medical imaging

Reference 27

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Observation 3b6890b5-3b8a-4fcb-956a-3ac430def582 · outbound

This paper cites Can we trust deep learning based diagnosis? the impact of domain shift in chest radiograph classification.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Can we trust deep learning based diagnosis? the impact of domain shift in chest radiograph classification

Reference 28

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Observation 903b4ed0-c5ae-4087-b249-69e1968a838d · outbound

This paper cites Explainable, trustworthy, and ethical machine learning for healthcare: A survey.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Explainable, trustworthy, and ethical machine learning for healthcare: A survey

Reference 29

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Observation 387aba83-bcfa-4181-a08a-905fe2eae899 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations High-resolution image synthesis with latent diffusion models

Reference 30

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Observation b3732682-8e89-4988-872c-f0968762a168 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 32

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Observation 288aed51-411e-4fa7-b5ee-9a5d786f026b · outbound

This paper cites Transparency of deep neural networks for medical image analysis: A review of interpretability methods.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Transparency of deep neural networks for medical image analysis: A review of interpretability methods

Reference 34

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Observation df268686-c45a-40c2-ad4a-63a84b1fd2fa · outbound

This paper cites Resolution-robust large mask inpainting with fourier convolutions.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Resolution-robust large mask inpainting with fourier convolutions

Reference 35

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Observation 201399a9-8f09-4768-a9ea-888aa71aee4d · outbound

This paper cites The importance of interpretability and visualization in machine learning for applications in medicine and health care.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations The importance of interpretability and visualization in machine learning for applications in medicine and health care

Reference 36

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Observation 6765625e-c1db-4d57-a0de-2643b6cb49c9 · outbound

This paper cites Diffusers: State-of-the-art diffusion models.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Diffusers: State-of-the-art diffusion models

Reference 37

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Observation b90a6242-cc7d-45ab-ab8d-62f8cb8ca954 · outbound

This paper cites Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases

Reference 38

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Observation 08b12d3f-eba4-41f2-881d-b20dda76d409 · outbound

This paper cites Preparing medical imaging data for machine learning.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Preparing medical imaging data for machine learning

Reference 39

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Observation 451787f3-dca5-4f68-86b9-7a7607be17f6 · outbound

This paper cites Association between surgical skin markings in dermoscopic images and diagnostic performance of a deep learning convolutional neural network for melanoma recognition.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Association between surgical skin markings in dermoscopic images and diagnostic performance of a deep learning convolutional neural network for melanoma recognition

Reference 40

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Observation 8f001980-e15b-4ce0-adce-df2bbf6b7857 · outbound

This paper cites Controllable invariance through adversarial feature learning.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Controllable invariance through adversarial feature learning

Reference 41

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Observation bb9c851d-b103-4574-b524-096454c6437e · outbound

This paper cites Paint by example: Exemplar-based image editing with diffusion models.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Paint by example: Exemplar-based image editing with diffusion models

Reference 42

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Observation ffd72e1c-b99d-485e-b90f-9b88af3acbf7 · outbound

This paper cites Improving out-of-distribution robustness via selective augmentation.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Improving out-of-distribution robustness via selective augmentation

Reference 43

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Observation 3f5826af-5b33-43a1-8595-e26049ab237e · outbound

This paper cites Cutmix: Regularization strategy to train strong classifiers with localizable features.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Cutmix: Regularization strategy to train strong classifiers with localizable features

Reference 44

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Observation 9314e9f9-f694-4b27-bd95-551185432a7d · outbound

This paper cites Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: a cross-sectional study.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: a cross-sectional study

Reference 45

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.564122Z digest=sha256:e3c72ed29d08cd4166e7ef7aca2d62ac20882cc436010719b976f1bf36248d2c

Observation 58c873df-bc87-4270-b14f-552be1f2f1f4 · outbound

This paper cites Model agnostic sample reweighting for out-of-distribution learning.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Model agnostic sample reweighting for out-of-distribution learning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.420245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.569943Z digest=sha256:5ac9fe6544a5bdcaaddabeb37f5732df6162e87eda1350f258ab9a825a77ab79

Observation 668690dc-f40a-4f37-a1c3-049e5f51882a · outbound

This paper cites & Hein, M.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Hein, M

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.411590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.572661Z digest=sha256:d4eb1c4f6638951a68efb7662b858e8c5cda8a14f2d14ebb8a425d91e1e4882e

Observation 8ad28f7f-5a9a-42d7-b861-9257d6b702de · outbound

This paper cites Invariant Risk Minimization.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Invariant Risk Minimization

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T19:30:14.575405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:30:14.575405Z digest=sha256:3816050cad4757cdc366aa971d382ebea1cc2139ff045e8fb9264bf176503191

Observation 1cbecdf2-e32f-4d03-93e1-1c6e9ced3d1f · outbound

This paper cites The Elephant in the Room.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations The Elephant in the Room

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T19:30:14.578423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:30:14.578423Z digest=sha256:73842831a0a7c6e3e377a6d62e84c58b2b9e9f8cf737a8b679f5e6cfd2ab6721

Observation 2f071eb5-cc3b-4948-8acc-6b11ea2ab159 · outbound

This paper cites In Search of Lost Domain Generalization.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations In Search of Lost Domain Generalization

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T19:30:14.581116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:30:14.581116Z digest=sha256:2cf847595ac100cdc1c70f158ef2eb60b5006d7c832953f268d81afe81c50906

Observation d22870a2-aec1-4faa-b2f1-9e4c47741b87 · outbound

This paper cites & Saria, S.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Saria, S

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.403496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.583732Z digest=sha256:6fb1a9db1c02e8747fd329a2b0c37570c0c4a5362aa33934e15045cc1cfb73e4

Observation 1bd1d209-695f-4219-93dc-60dc7f1a50c4 · outbound

This paper cites & Qadir, J.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Qadir, J

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.395638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.586545Z digest=sha256:5c72919a6df631c2124fb888eb8939e5731a98522981df3837ede2ed2fb2182a

Observation a45ca5c2-c240-479e-bafc-32a957ff577c · outbound

This paper cites & King, D.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & King, D

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.387773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.589413Z digest=sha256:101d5e9f64181011eb355f5c99a8ce84bf10913ab19bb15fabc5034d2bd54165

Observation 018e5022-cf44-422c-9263-fbaa89e9572f · outbound

This paper cites & Wichmann, F.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Wichmann, F

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.378895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.591970Z digest=sha256:0e3e9d576f07bf8b1c327f5289c0871c26da3a2a9c78e3d39e6df54cea53028e

Observation 17583874-3941-4865-b3c4-bb702c1f6d2f · outbound

This paper cites Salient ImageNet: How to discover spurious features in Deep Learning?.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Salient ImageNet: How to discover spurious features in Deep Learning?

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-12T19:30:14.594675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:30:14.594675Z digest=sha256:39a69834df00194efb6ace8c13ca168d20238e9faff2f9bec03965ce0e7da06d

Observation c0138075-4fca-4c71-8773-b9f3e6e7b3bc · outbound

This paper cites & Dahdouh, S.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Dahdouh, S

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.371014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.597646Z digest=sha256:deb7355e786120716cb29a1db7038337a8f1e5f860ec69334d270b90d1363737

Observation 0b94b2ef-132f-49e9-9d6d-d6a7e752aa11 · outbound

This paper cites & Tschannen, M.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Tschannen, M

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.362955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.600398Z digest=sha256:9aab08d99fb437a7493b910628bf2334415adec63d5ef575f12e61b551b85896

Observation 9eed1c7f-c4e6-4f58-a8fd-1601532b21e8 · outbound

This paper cites & Perona, P.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Perona, P

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.354921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.603234Z digest=sha256:2804659b11081dc66914af588c6fd7bd95bbdc04fffa998c23f2c799d212d7e1

Observation d62089a4-87ca-4fe1-87be-ecc0663498a8 · outbound

This paper cites & Oermann, E.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Oermann, E

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.346936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.605849Z digest=sha256:ceaca238dae3631d4286fcdceea22b4d8bcf75e36cffd5e1c3e0a8bc2462abea

Observation 46bde661-1a74-461c-9dd2-d9826d01fb87 · outbound

This paper cites & Lee, S.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Lee, S

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.338867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.608609Z digest=sha256:de98059db12169070d6036aa0a0a3e8e1b59f2a5ed8db953c6543d14ec57777d

Observation ea640af5-ca5a-46b5-ab32-fbd05e420dba · outbound

This paper cites & Barros, R.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Barros, R

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.329950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.611300Z digest=sha256:0150c2ca9c2a0b92d96ec1d943fb5d315f75fbe3a181e9ce724a939d58a24287

Observation 88555be1-ab1f-402d-8ae6-1b6d8d8e9cdb · outbound

This paper cites Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-12T19:30:14.614005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:30:14.614005Z digest=sha256:3d56b9a2440bd1e6c673424e69ddaedd9b1ad5b58ad8c37df209255f68ed7caa

Observation b08ceaf2-e464-419c-9046-6cafeba4fe1a · outbound

This paper cites an unresolved cited work.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-12T19:30:15.322157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.617130Z digest=sha256:9fbfda2c2269ee9ec4911499ab1250e3ec8d6190a28f3860ff47136c9aa516ae

Observation 6ca5ee4b-15fb-4d2a-b808-97f36c5b1d4e · outbound

This paper cites & Lee, S.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Lee, S

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.314006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.619724Z digest=sha256:34edcf5bd05b9d333299a1ed09d6f5537d43acb4df82c631d6e22cfd5c137693

Observation 7105a020-a7d7-4232-b4ce-c0a557c3b1f3 · outbound

This paper cites & Others Association between surgical skin markings in dermoscopic images and diagnostic performance of a deep learning convolutional neural network for melanoma recognition.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Others Association between surgical skin markings in dermoscopic images and diagnostic performance of a deep learning convolutional neural network for melanoma recognition

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.306056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.622660Z digest=sha256:af4bc9c0897cbf71fa182ea48100f0af4d07fba4ac3e20b268800c6796912183

Observation 7439803b-46db-402e-b731-5d7f222c0ad2 · outbound

This paper cites & Seifert, C.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Seifert, C

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.297576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.625522Z digest=sha256:9fd0b41e638e96991f637afb573801b96ecbfe71e695e105212130a87e8b14e3

Observation 821d0d3b-32f7-44eb-bf6e-0317d06043d2 · outbound

This paper cites & Lempitsky, V.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Lempitsky, V

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.289540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.628202Z digest=sha256:59cc199d058f1113728c0e51aff2a0c19fc438ea696fbf849ae14f68811540c3

Observation 0e55a637-20ef-47ea-ad38-aeb92356a0af · outbound

This paper cites & Neubig, G.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Neubig, G

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.281512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.631015Z digest=sha256:7c5aedf80907ea9cd55d20caddc41ecae219df9ca3fd6422669918ae9108a2e8

Observation e2b54ea9-46f8-4c48-b2b1-ce79f65e1889 · outbound

This paper cites & Tao, D.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Tao, D

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.273113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.633865Z digest=sha256:b76fbc7665b79507f139bce4cfbc824ae36c46ebd1085728562ddb77002fda7d

Observation 89a1a629-7084-448b-bb46-3935340d20fc · outbound

This paper cites & Lempitsky, V.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Lempitsky, V

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.264129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.636721Z digest=sha256:e315fb87e8c3c17640c090385dd72c30b819ffd6210ea99104f5ff0d3419cd54

Observation f92d6438-122e-4f8f-b406-8dfb3069aa51 · outbound

This paper cites Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-12T19:30:14.639422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:30:14.639422Z digest=sha256:e65713eb507f34d3e7135cd41e73e6add22e92be16dda00fb5e9100d1344ccac

Observation b3f64779-8968-443d-b348-b0cb2fcc90f9 · outbound

This paper cites & Feizi, S.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Feizi, S

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.255217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.641934Z digest=sha256:94412271e8e7eb503e04676800439bf366c78c1eb872807bbc732501b2126710

Observation 825501c6-021c-4ebc-beee-85480a34aa67 · outbound

This paper cites & Wilson, A.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Wilson, A

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.247161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.645672Z digest=sha256:436fecde53c6fa34ba97f2cd9c74a3b192d3f216d01f2c3d13ea765ac7f967c5

Observation ed7c6838-e577-4f65-a9c8-df9f13294b84 · outbound

This paper cites & Sra, S.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Sra, S

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.239357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.648656Z digest=sha256:98e9c69e70c72c1e032fd91e4ebc00a000a287e084c7995cb09f91ca871444bc

Observation 20591fc6-875a-4b35-b268-a3e7d2d0155c · outbound

This paper cites Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-12T19:30:14.651385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:30:14.651385Z digest=sha256:0641bad6dcdcd70bb7f0db3f7e89a680137341174bb91509d22399b4e2ff6898

Observation aac61e95-c6f0-4e94-921c-9dfc0cf7a962 · outbound

This paper cites & Liang, P.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Liang, P

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.231172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.653968Z digest=sha256:93439e272d4a084f8f3508438c2ae55bf453bf59e49230634b5a65e7c3369ff1

Observation f5602819-b155-48f7-80e0-1e015940745f · outbound

This paper cites & Finn, C.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Finn, C

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.222312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.656704Z digest=sha256:831dd4e1791da9e78ed109dedcd5912ee74369bbda61022327584d50cde6e275

Observation 12846fa0-c709-4cac-8ccd-357fa029bf59 · outbound

This paper cites & Shin, J.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Shin, J

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.214173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.659449Z digest=sha256:74651d562d3d611ba26faa91dbd712cdb7290e2bced1924147c58378bc3a4fb6

Observation d3cd2d3f-1fcf-4b91-bf3a-cb6db353635b · outbound

This paper cites & Zhang, T.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Zhang, T

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.205949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.662149Z digest=sha256:add99470e1cfc88eb17f446d3b48de828246ff624045ac7137529642cf679bcf

Observation 43302327-661c-4a15-882e-824c2cfeb39a · outbound

This paper cites & Yao, J.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Yao, J

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.196430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.664812Z digest=sha256:223c67f1459bddb8f12edb5d36d57124777f972a0045f4ff4c16aecba8861495

Observation 467e3da6-73d9-4209-9da0-0c10c1d3eccb · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations mixup: Beyond Empirical Risk Minimization

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-12T19:30:14.667565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:30:14.667565Z digest=sha256:294bbe60fa19ee5838a590f4e5eca58d2230cffd9d1a4eba49dbe7ce58487c60

Observation 7e1458f1-9944-4816-a07b-adc0515ea506 · outbound

This paper cites & Yoo, Y.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Yoo, Y

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.187322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.670476Z digest=sha256:e80a629684af166b52c6468669db65dcb17a9bad7e86d24098b7711ba79949d1

Observation 40469bb0-a928-44d4-a7b0-a8483ae2fa43 · outbound

This paper cites & Finn, C.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Finn, C

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.178476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.673241Z digest=sha256:4a4e8b04a27c1caa34e57d887fe4ae534ee77cb53500a8fcfbbc5ce49ab0b997

Observation a354921b-77e5-42a0-b539-33184f5b8899 · outbound

This paper cites & Darrell, T.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Darrell, T

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.170446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.676827Z digest=sha256:cd4c921fa8d30301870cee405d68fe2a3da995ef2e84aa7d993f436fefa3ba9a

Observation 8f79703c-0baa-4b73-a819-35c0d7e8efc4 · outbound

This paper cites & Zou, J.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Zou, J

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.162511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.679587Z digest=sha256:f1bee8a5c051b15f8212737b5eb6595c5187d1745be26c421b9516aa8ff3edf2

Observation 5ce017cc-cc04-4829-bad3-ad4c9c6aa08f · outbound

This paper cites & Kim, J.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Kim, J

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.154179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.682322Z digest=sha256:94df2b123b1aba17d90d2427a58ee969932a2246888ffa43dc36f066544dc613

Observation 47432c0b-d174-4006-8fed-7b7cb36eed20 · outbound

This paper cites & Rohrbach, A.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Rohrbach, A

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.145515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.685043Z digest=sha256:681c248b9ca367c0e2a91b06259bbf3970586c20cb733887e7f16f3a42fa0e26

Observation a1c68c73-ff91-45de-b336-ff82278bd512 · outbound

This paper cites & Raff, E.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Raff, E

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.137489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.688027Z digest=sha256:c27d8147efecfd4554c111bcebfc714844831f244adc2ab3269413b862bb274a

Observation 57307cf9-2fac-45b5-bc63-b69747b11701 · outbound

This paper cites Invariant Learning via Diffusion Dreamed Distribution Shifts.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Invariant Learning via Diffusion Dreamed Distribution Shifts

Reference 90

Resolution
verified exact
local_arxiv, observed 2026-08-12T19:30:14.827716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.690668Z digest=sha256:1595281d28f317f7116c01ba0e44ccb3ca79e2beb7f235f7dad4f87f668621f1

Observation 913c89de-490f-4e66-91b1-aac8e48c3abe · outbound

This paper cites & Böttinger, K.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Böttinger, K

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.129410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.694094Z digest=sha256:6f230d4ba9d2bd4db8252324dbac99f48e03c14d5b14afc2530d609c9bc3c62f

Observation 6df9710c-aa46-41ae-bae3-74f6932fa9c1 · outbound

This paper cites Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-12T19:30:14.696675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:30:14.696675Z digest=sha256:27932d1ca3b68118e9a5d5b8619284203071e554228f7e77881c6180b9c24910

Observation cfc7e69d-7e1a-4523-b46b-7ccc3c073c69 · outbound

This paper cites & Others Wilds: A benchmark of in-the-wild distribution shifts.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Others Wilds: A benchmark of in-the-wild distribution shifts

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.120229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.699692Z digest=sha256:ba59a76418094387ee0380d6b8f97f22d08128569a0d84c5b0bda0271e5d1afd

Observation 9c5f22a7-82b5-4d4c-9afe-1fb53713003c · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-12T19:30:14.703533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:30:14.703533Z digest=sha256:53b81255203f8ec1848896140bcdd7d603d3c6093410a89d1884e0910af43ca8

Observation 399b9b52-560c-49d9-82a3-95270dfdd210 · outbound

This paper cites & Avila, S.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Avila, S

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.112066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.706117Z digest=sha256:616bd687571db5986b55310f38672ff79c98b982cd7c22f1c10d9b48b867930b

Observation 6d9b2c2c-3178-44bd-86dc-ac21efa2959f · outbound

This paper cites MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-12T19:30:14.708925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:30:14.708925Z digest=sha256:6402d311cb6a6478f2f2dc2f1bf75c8b8230baf7714e718db86f899d541af59d

Observation b03447a9-9c6e-4466-812f-24fc192d70ac · outbound

This paper cites & Others Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Others Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.103203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.711531Z digest=sha256:39b5f4ed50ee9822526bf294452a1ae1a9ba3c06ba8493b1938fc3b136512ecd

Observation cdde83b5-653a-4287-a170-c9ec90055496 · outbound

This paper cites & De La Iglesia-Vaya, M.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & De La Iglesia-Vaya, M

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.094754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.714316Z digest=sha256:d6069f2f9d607a32ac057ecde06e1ccce55dcab15ed2ba7e0cdcdbd4dcb73039

Observation 49db7e54-7db6-4c96-ba5f-05ad113e5748 · outbound

This paper cites & Summers, R.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Summers, R

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.086709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.717327Z digest=sha256:a8faf409b56f5e20d702551389588223994f8b5d977e7fdfcb55747e063c43a7

Observation 5fde0965-01f5-43da-a155-d59fd85ea6bc · outbound

This paper cites & Others Learning transferable visual models from natural language supervision.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Others Learning transferable visual models from natural language supervision

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.078521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.720068Z digest=sha256:3ac8176c60ddf4fef168cbf74ca8ffad09c2ad3f9156e006cfd239a395034d51

Observation 9019fa89-023b-46e1-aec1-781e67912003 · outbound

This paper cites MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-12T19:30:14.722833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:30:14.722833Z digest=sha256:a71539e41e787ee35806a27b339f368d917b5a9ca099d6d9cd0b8639039ec7e5

Observation b86e1eb1-ff0b-4544-b986-f8eed7c76247 · outbound

This paper cites & Lempitsky, V.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Lempitsky, V

Reference 102

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.069741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.726129Z digest=sha256:62cdba10eb17c5da353998320b33e0841c732c4ced3b4b88e7bcdc78c7a50647

Observation e5c07349-7b76-4cb3-b55e-88742fa4db28 · outbound

This paper cites & Ommer, B.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Ommer, B

Reference 103

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.061674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.728941Z digest=sha256:48592861f7cf208cc5db99b75bd863253859ce5df2a6825d6f793b4c4766e8fb

Observation 26fd45d5-9b8c-49c4-bbfa-f3af131625e7 · outbound

This paper cites & Wolf, T.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Wolf, T

Reference 104

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.053479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.731663Z digest=sha256:1783d938f5b0138f56680891104b468ff108f3338ffb825aa01b732911fa0a5c

Observation 10303400-64d4-4640-8d3b-80724a4a0bb0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Adam: A Method for Stochastic Optimization

Reference 105

Resolution
unresolved
no resolver link, observed 2026-08-12T19:30:14.734340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:30:14.734340Z digest=sha256:d31d2155f9fb92e85ede7ed5c5568d3e730a547a12a0731d4625351d748385a4

Observation 145eeee8-d6ab-4f30-925e-2d4acf80bbaa · outbound

This paper cites & Sun, J.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Sun, J

Reference 106

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.045234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.737025Z digest=sha256:629a17439e8869d0b7afc4db67b19c2f0f97ecb64e7ec7279309a8902f7b83ec

Observation aba8ee76-b281-49e5-bda8-ceec61c6e16a · outbound

This paper cites & Weinberger, K.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Weinberger, K

Reference 107

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.037456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.739814Z digest=sha256:a9a80b09c10575d555c0f5b79314f34a58f5bb95cd5bad396ddb25d9b9490777

Observation a04a56a7-4229-45cf-8a26-e4a248e79b6a · outbound

This paper cites & Contributors TorchVision: PyTorch's Computer Vision library.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Contributors TorchVision: PyTorch's Computer Vision library

Reference 108

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.029502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.742497Z digest=sha256:c7a54952cc75da152cceb55df1589d57a676d42d1defd43e427e543298603ce1

Observation 31642606-86c3-4911-8b30-f136cacc78ce · outbound

This paper cites & Nichol, A.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations & Nichol, A

Reference 109

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:15.021189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T19:30:14.746181Z digest=sha256:0c8f14035f7d962813f419731efe73a5ab88131bde25e97bb43879dfd52dfb1d

Observation 29b7206d-c856-4369-8b7d-7620c411258e · outbound

This paper cites The ArtBench Dataset: Benchmarking Generative Models with Artworks.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations The ArtBench Dataset: Benchmarking Generative Models with Artworks

Reference 110

Resolution
unresolved
no resolver link, observed 2026-08-12T19:30:14.749058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:30:14.749058Z digest=sha256:e04ea7fe5010df7d036ac1220ccde353389525fcc08ea77ae6a257758d39d558

Pith citing papers

No inbound Pith citation observations are available.