RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization | Paper Citation Record

Observation 498868e0-2a8c-4092-9422-2e5ad74d7166 · outbound

This paper cites Distribution matching losses can hallucinate features in medical image translation.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Distribution matching losses can hallucinate features in medical image translation

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This paper cites URLhttps://doi.org/10.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization URLhttps://doi.org/10

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This paper cites Association of biomarker-based artificial intelligence with risk of racial bias in retinal images.JAMA ophthalmology, 141(6):543–552, 2023.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Association of biomarker-based artificial intelligence with risk of racial bias in retinal images.JAMA ophthalmology, 141(6):543–552, 2023

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This paper cites Arcface: Additive angular margin loss for deep face recognition.IEEE Trans.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Arcface: Additive angular margin loss for deep face recognition.IEEE Trans

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This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization An image is worth 16x16 words: Trans- formers for image recognition at scale

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This paper cites Tsaftaris, and Timothy M.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Tsaftaris, and Timothy M

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This paper cites Wich- mann, and Wieland Brendel.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Wich- mann, and Wieland Brendel

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This paper cites URLhttps://openreview.net/forum?id= Bygh9j09KX.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization URLhttps://openreview.net/forum?id= Bygh9j09KX

Reference 9

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This paper cites Ai recognition of patient race in medical imaging: a modelling study.The Lancet Digital Health, 4(6):e406–e414, 2022.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Ai recognition of patient race in medical imaging: a modelling study.The Lancet Digital Health, 4(6):e406–e414, 2022

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This paper cites Algorith- mic encoding of protected characteristics in chest x-ray disease detection models.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Algorith- mic encoding of protected characteristics in chest x-ray disease detection models

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This paper cites In search of lost domain generalization.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization In search of lost domain generalization

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This paper cites Equality of opportunity in super- vised learning.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Equality of opportunity in super- vised learning

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This paper cites Mambavision: A hybrid mamba-transformer vision backbone.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Mambavision: A hybrid mamba-transformer vision backbone

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This paper cites Deep residual learning for image recognition.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Deep residual learning for image recognition

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This paper cites Weinberger.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Weinberger

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This paper cites doi: 10.1109/CVPR.2017.243.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization doi: 10.1109/CVPR.2017.243

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This paper cites Re- visiting masked image modeling with standardized color space for domain generalized fundus photography classification.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Re- visiting masked image modeling with standardized color space for domain generalized fundus photography classification

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This paper cites Kevin Zhou, and Xiaoxiao Li.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Kevin Zhou, and Xiaoxiao Li

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Observation eb61dcae-c5e5-4a9f-86d1-e8cbbe6062f7 · outbound

This paper cites PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion

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This paper cites Kusner, Joshua R.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Kusner, Joshua R

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This paper cites Let samples speak: Mitigating spurious correlation by exploiting the clusterness of samples.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Let samples speak: Mitigating spurious correlation by exploiting the clusterness of samples

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This paper cites Un- certainty modeling for out-of-distribution generalization.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Un- certainty modeling for out-of-distribution generalization

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This paper cites URLhttps://openreview.net/forum?id= 6HN7LHyzGgC.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization URLhttps://openreview.net/forum?id= 6HN7LHyzGgC

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Incomplete modality disentangled representa- tion for ophthalmic disease grading and diagnosis

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Sphereface revived: Unifying hyperspherical face recognition.IEEE Trans

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Swin transformer: Hierarchical vision transformer using shifted windows

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization URLhttps://doi.org/10

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization A convnet for the 2020s

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Fairvision: Equitable deep learning for eye disease screening via fair identity scaling, 2024

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Shufflenet V2: prac- tical guidelines for efficient CNN architecture design

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization URLhttps://doi.org/10.1007/ 978-3-030-01264-9_8

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Hyperspherical prototype net- works

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Slicing through bias: Explaining performance gaps in medical image analysis using slice discovery meth- ods

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Prevalence of Neural Collapse during the terminal phase of deep learning training

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Girshick, Kaiming He, and Piotr Dollár

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Machine learning derived retinal pigment score from ophthalmic imaging shows ethnicity is not biology.Nature communications, 16(1):60, 2025

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization The precision-recall plot is more informative than the roc plot when evaluating binary classifiers on imbalanced datasets.PloS one, 10 (3):e0118432, 2015

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization vmfcoop: Towards equilibrium on a unified hyperspherical manifold for prompt- ing biomedical vlms

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization A 3x3 isotropic gradient operator for image process- ing.a talk at the Stanford Artificial Project in, 1968:271–272, 1968

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Fairdomain: Achiev- ing fairness in cross-domain medical image segmentation and classification

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Bovik, and Yinxiao Li

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization URLhttps://doi.org/10.1038/ s42256-023-00611-x

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Cosface: Large margin cosine loss for deep face recog- nition

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Navigate beyond shortcuts: Debiased learning through the lens of neural collapse

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Fast diffusion-based counterfactuals for shortcut removal and generation

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Generalizing to unseen domains in diabetic retinopa- thy with disentangled representations

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RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization URLhttps://doi.org/10

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This paper cites The limits of fair medical imaging ai in real-world generalization.Nature medicine, 30 (10):2838–2848, 2024.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization The limits of fair medical imaging ai in real-world generalization.Nature medicine, 30 (10):2838–2848, 2024

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This paper cites Mitigating unwanted bi- ases with adversarial learning.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Mitigating unwanted bi- ases with adversarial learning

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This paper cites doi: 10.1145/3278721.3278779.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization doi: 10.1145/3278721.3278779

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This paper cites Exact feature distri- bution matching for arbitrary style transfer and domain generalization.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Exact feature distri- bution matching for arbitrary style transfer and domain generalization

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This paper cites Prototype correlation matching and class- relation reasoning for few-shot medi- cal image segmentation.IEEE Trans.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Prototype correlation matching and class- relation reasoning for few-shot medi- cal image segmentation.IEEE Trans

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This paper cites Discover and mit- igate multiple biased subgroups in image classifiers.

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization Discover and mit- igate multiple biased subgroups in image classifiers

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