Paper Citation Record · LEDGER

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading

As of 21 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2506.15748.

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

pith.paper-citation-record.v1
2506.15748 v1

Coverage vector

measured 44 of 44 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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External citation measurements

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Outbound references

Observation 22d5e742-c5a6-4722-b208-a809ca36a537 · outbound

This paper cites Osteoarthritis: a disease of the joint as an organ,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Osteoarthritis: a disease of the joint as an organ,

Reference 1

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This paper cites Epidemiology and burden of osteoarthritis,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Epidemiology and burden of osteoarthritis,

Reference 2

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This paper cites Current evidence for osteoarthri- tis treatments,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Current evidence for osteoarthri- tis treatments,

Reference 3

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This paper cites Classifications in brief: Kellgren-lawrence classification of osteoarthritis,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Classifications in brief: Kellgren-lawrence classification of osteoarthritis,

Reference 4

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This paper cites Radiological Assessment of Osteo- Arthrosis,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Radiological Assessment of Osteo- Arthrosis,

Reference 5

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Observation 3be15e1e-481c-4833-8429-de3c1cc8abb7 · outbound

This paper cites Discriminative regularized auto-encoder for early detection of knee osteoarthritis: Data from the Osteoarthritis Initiative,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Discriminative regularized auto-encoder for early detection of knee osteoarthritis: Data from the Osteoarthritis Initiative,

Reference 6

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This paper cites Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss,

Reference 7

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This paper cites Siamese-gap network for early detection of knee osteoarthritis,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Siamese-gap network for early detection of knee osteoarthritis,

Reference 8

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This paper cites Guest editorial deep learning in medical imaging: Overview and future promise of an exciting new technique,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Guest editorial deep learning in medical imaging: Overview and future promise of an exciting new technique,

Reference 9

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This paper cites Imagenet classification with deep convolutional neural networks,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Imagenet classification with deep convolutional neural networks,

Reference 10

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This paper cites Attention is all you need,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Attention is all you need,

Reference 11

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This paper cites Quantifying Radiographic Knee Osteoarthritis Severity Using Deep Convolutional Neural Networks,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Quantifying Radiographic Knee Osteoarthritis Severity Using Deep Convolutional Neural Networks,

Reference 12

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This paper cites Automatic detection of knee joints and quantification of knee osteoarthritis severity using convolutional neural networks,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Automatic detection of knee joints and quantification of knee osteoarthritis severity using convolutional neural networks,

Reference 13

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Observation fdd71347-2058-4c5e-9257-c3a37df693d0 · outbound

This paper cites Automatic grading of individual knee osteoarthritis features in plain radiographs using deep convolutional neural networks,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Automatic grading of individual knee osteoarthritis features in plain radiographs using deep convolutional neural networks,

Reference 14

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This paper cites Automatic knee osteoarthritis diagnosis from plain radiographs: A deep learning-based approach,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Automatic knee osteoarthritis diagnosis from plain radiographs: A deep learning-based approach,

Reference 15

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This paper cites Transformer with selective shuffled position embedding and key-patch exchange strategy for early detection of knee osteoarthritis,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Transformer with selective shuffled position embedding and key-patch exchange strategy for early detection of knee osteoarthritis,

Reference 16

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This paper cites Adversarially robust generalization requires more data,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Adversarially robust generalization requires more data,

Reference 17

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This paper cites Understanding deep learning via decision boundary,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Understanding deep learning via decision boundary,

Reference 18

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Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Unresolved cited work

Reference 19

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This paper cites A survey on image data augmen- tation for deep learning,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading A survey on image data augmen- tation for deep learning,

Reference 20

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This paper cites A survey of methods for explaining black box models,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading A survey of methods for explaining black box models,

Reference 21

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This paper cites Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine,

Reference 22

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This paper cites Gan-based synthetic medical image augmentation for increased cnn performance in liver lesion classification,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Gan-based synthetic medical image augmentation for increased cnn performance in liver lesion classification,

Reference 23

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This paper cites Biomedical data augmentation using generative adversarial neural networks,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Biomedical data augmentation using generative adversarial neural networks,

Reference 24

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This paper cites Deepfake knee osteoarthritis x-rays from generative adversarial neural networks deceive medical experts and offer augmentation potential to automatic classification,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Deepfake knee osteoarthritis x-rays from generative adversarial neural networks deceive medical experts and offer augmentation potential to automatic classification,

Reference 25

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This paper cites Key-Exchange Convolutional Auto-Encoder for Data Augmentation in Early Knee Osteoarthritis Detection.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Key-Exchange Convolutional Auto-Encoder for Data Augmentation in Early Knee Osteoarthritis Detection

Reference 26

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This paper cites Temporal Evolution of Knee Osteoarthritis: A Diffusion-based Morphing Model for X-ray Medical Image Synthesis.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Temporal Evolution of Knee Osteoarthritis: A Diffusion-based Morphing Model for X-ray Medical Image Synthesis

Reference 27

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Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Denoising diffusion probabilistic models,

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This paper cites Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder

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This paper cites Pairwise feature-based generative adversarial network for incomplete multi-modal alzheimer’s disease diagnosis,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Pairwise feature-based generative adversarial network for incomplete multi-modal alzheimer’s disease diagnosis,

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This paper cites Mitigating attribute amplification in counterfactual image generation,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Mitigating attribute amplification in counterfactual image generation,

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Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading High- resolution image synthesis with latent diffusion models,

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Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Unresolved cited work

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Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Wiener processes,

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Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Unresolved cited work

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This paper cites The Osteoarthritis Initiative: A NIH Public–Private Partner- ship,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading The Osteoarthritis Initiative: A NIH Public–Private Partner- ship,

Reference 36

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This paper cites The multicenter osteoarthritis study (most): opportunities for rehabilitation research,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading The multicenter osteoarthritis study (most): opportunities for rehabilitation research,

Reference 37

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This paper cites Understanding disentangling in $\beta$-VAE.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Understanding disentangling in $\beta$-VAE

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Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Adam: A Method for Stochastic Optimization

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Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Pytorch: An imperative style, high- performance deep learning library,

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This paper cites A primer on kernel methods,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading A primer on kernel methods,

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This paper cites Explaining machine learning classifiers through diverse counterfactual explanations,.

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Explaining machine learning classifiers through diverse counterfactual explanations,

Reference 42

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Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Gan- terfactual—counterfactual explanations for medical non-experts using generative adversarial learning,

Reference 43

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Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading Diffusion models for counterfactual explanations,

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Pith citing papers

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