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Paper Citation Record · LEDGER

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images

As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2504.18049.

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

pith.paper-citation-record.v1
2504.18049 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:28:30.749888Z

measured 31 of 31 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

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Reference resolution

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation bbe82090-6214-41b0-86cf-f39a63e901e6 · outbound

This paper cites Advances in neural information processing systems33, 1877–1901 (2020).

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images Advances in neural information processing systems33, 1877–1901 (2020)

Reference 1

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Observation d756bd6b-6e01-4741-b97e-7dd810147c18 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2

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Observation e7ee0ffc-afbd-47c2-bb57-8b960b42f28f · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 3

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Observation 2b436bc4-9fcf-43ba-a304-de8f53127595 · outbound

This paper cites Cells10(11) (Oct 2021).

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images Cells10(11) (Oct 2021)

Reference 4

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Observation 2942a06e-cbf0-40fd-a9ee-09de63e2c474 · outbound

This paper cites com/jacobgil/pytorch-grad-cam(2021).

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images com/jacobgil/pytorch-grad-cam(2021)

Reference 5

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Observation a56ac1d4-2c6f-437e-b4ab-aec630339e9b · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on Computer Vision and Pattern Recognition.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images In: Proceedings of the IEEE/CVF conference on Computer Vision and Pattern Recognition

Reference 6

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Observation 84c89d16-eb29-4f96-9cde-5f06f7621fd0 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 7

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Observation efe7f0ae-89b7-476b-ab32-85b92db108af · outbound

This paper cites AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights

Reference 8

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Observation 8db3d834-b01c-4184-9443-d3e07a1f5172 · outbound

This paper cites LocalViT: Analyzing Locality in Vision Transformers.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images LocalViT: Analyzing Locality in Vision Transformers

Reference 9

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Observation 9368eba2-951c-4de2-aabf-837e4620d3a6 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 10

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Observation ec02adb4-024c-44ac-bc03-33fff869d613 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 11

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Observation a086bd91-a360-4eca-be18-957aa8d0a8e4 · outbound

This paper cites upsaclay.fr/competitions/12441(2023) 10 Authors Suppressed Due to Excessive Length.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images upsaclay.fr/competitions/12441(2023) 10 Authors Suppressed Due to Excessive Length

Reference 12

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Observation 9fb8b6e9-7d8b-41b6-9ca8-4d1a54f9e8d9 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 13

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Observation 643b7e36-deba-412d-914f-a6f84be86a55 · outbound

This paper cites Science China Technological Sciences63(10), 1872–1897 (2020).

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images Science China Technological Sciences63(10), 1872–1897 (2020)

Reference 14

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Observation 1701998f-d842-4970-9a47-20270980ecdf · outbound

This paper cites In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015

Reference 15

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Observation fc4b067d-70da-44b1-babe-393945b0f79b · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 16

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Observation c3b60ad3-2f37-4328-a6ba-d1f416424fba · outbound

This paper cites Evol Intell15(1), 1–22 (2022).

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images Evol Intell15(1), 1–22 (2022)

Reference 17

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Observation 8c8dd32f-ab12-43a9-9734-5e08cd3d5b40 · outbound

This paper cites In: Proceedings of the IEEE international conference on computer vision.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images In: Proceedings of the IEEE international conference on computer vision

Reference 18

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Observation 92eb0759-69c7-4ffe-89a7-f77411dab026 · outbound

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A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 19

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Observation 17ac7065-d881-45e9-83fe-f0b92082d568 · outbound

This paper cites PLoS Med12(3), e1001779 (Mar 2015).

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images PLoS Med12(3), e1001779 (Mar 2015)

Reference 20

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A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Reference 21

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 22

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This paper cites In: Medical Image Computing and Computer Assisted Intervention– MICCAI 2021.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images In: Medical Image Computing and Computer Assisted Intervention– MICCAI 2021

Reference 23

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Observation e5c1fca1-43ca-491e-a1f8-ccd4ff96723c · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 24

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This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 25

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Observation 27296659-1afb-4437-b91d-6141efee7544 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition

Reference 26

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This paper cites Nature622(7981), 156–163 (2023) A BERT-Style Self-Supervised Learning CNN 11.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images Nature622(7981), 156–163 (2023) A BERT-Style Self-Supervised Learning CNN 11

Reference 27

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Observation 4d88223d-be67-4bf9-9287-bd42ee731ca3 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 28

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A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images In: International Conference on Information Processing in Medical Imaging

Reference 29

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This paper cites Optimal Transport Guided Unsupervised Learning for Enhancing low-quality Retinal Images.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images Optimal Transport Guided Unsupervised Learning for Enhancing low-quality Retinal Images

Reference 30

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This paper cites LadderNet: Multi-path networks based on U-Net for medical image segmentation.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images LadderNet: Multi-path networks based on U-Net for medical image segmentation

Reference 31

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Pith citing papers

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