Paper Citation Record · LEDGER

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis

As of 21 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 3 inbound Pith citation observations for arXiv:2411.10004.

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

pith.paper-citation-record.v1
2411.10004 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

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measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:40:11.013448Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T06:20:43.042588Z

Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation afd9955e-566e-43f0-bdb8-a0b56b68ec01 · outbound

This paper cites & Rosário, A.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis & Rosário, A

Reference 1

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Observation c9ffbc69-3133-4d6e-95c4-4814debcdc3c · outbound

This paper cites Severe macular complications in glaucoma: high-resolution multimodal imaging characteristics and review of the literature.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Severe macular complications in glaucoma: high-resolution multimodal imaging characteristics and review of the literature

Reference 2

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Observation 41679696-9a96-445c-942c-ffd371183d9b · outbound

This paper cites Association of Diabetic Lesions and Retinal Nonperfusion Using Widefield Multimodal Imaging.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Association of Diabetic Lesions and Retinal Nonperfusion Using Widefield Multimodal Imaging

Reference 3

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Observation 683b349e-ae91-4c38-8f68-0326c86c7b1b · outbound

This paper cites & Michaelides, M.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis & Michaelides, M

Reference 4

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Observation bc87c6b8-3b88-4056-8966-d0edd203d8c1 · outbound

This paper cites Artificial intelligence and deep learning in ophthalmology.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Artificial intelligence and deep learning in ophthalmology

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:08:24.221362Z

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Observation 94285c32-02a2-4027-a766-c1946cb15a94 · outbound

This paper cites Artificial Intelligence for Screening of Multiple Retinal and Optic Nerve Diseases.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Artificial Intelligence for Screening of Multiple Retinal and Optic Nerve Diseases

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:08:24.204548Z

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Observation 7836ef9d-421e-4b03-912b-094d587f0142 · outbound

This paper cites Policy-Driven, Multimodal Deep Learning for Predicting Visual Fields from the Optic Disc and OCT Imaging.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Policy-Driven, Multimodal Deep Learning for Predicting Visual Fields from the Optic Disc and OCT Imaging

Reference 7

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Observation 912620b5-e191-49cd-abfe-72ddd3d8a734 · outbound

This paper cites & Hardalaç, F.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis & Hardalaç, F

Reference 8

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Observation 7e2ef6d8-c6c5-49e1-953e-6898c12fa2c7 · outbound

This paper cites Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks

Reference 9

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Observation a7f86991-669c-49f2-8bc4-48169b81fb89 · outbound

This paper cites & Ting, D.S.W.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis & Ting, D.S.W

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:08:24.142777Z

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Observation 49c4175c-02d4-487d-a623-02b5351a656d · outbound

This paper cites AI recognition of patient race in medical imaging: a modelling study.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis AI recognition of patient race in medical imaging: a modelling study

Reference 11

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Observation dde991d9-bf01-413f-bb96-95d4dc0e4783 · outbound

This paper cites & Khoshgoftaar, T.M.J.J.o.B.D.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis & Khoshgoftaar, T.M.J.J.o.B.D

Reference 12

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Observation bd80f254-0e87-4d64-8f90-84a375adb461 · outbound

This paper cites Oversampling in Health Surveys: Why, When, and How? American journal of public health 107, 1214-1215 (2017).

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Oversampling in Health Surveys: Why, When, and How? American journal of public health 107, 1214-1215 (2017)

Reference 13

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Observation 2f4c28b5-d1ad-480c-94d3-912b58bdac93 · outbound

This paper cites & Chandra, R.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis & Chandra, R

Reference 14

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Observation e44fdea5-402d-4e65-8678-e102b6d56dcf · outbound

This paper cites Translating color fundus photography to indocyanine green angiography using deep-learning for age-related macular degeneration screening.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Translating color fundus photography to indocyanine green angiography using deep-learning for age-related macular degeneration screening

Reference 15

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Observation 68619933-9fd2-4294-9a89-c9f32800a46f · outbound

This paper cites Translation of Color Fundus Photography into Fluorescein Angiography Using Deep Learning for Enhanced Diabetic Retinopathy Screening.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Translation of Color Fundus Photography into Fluorescein Angiography Using Deep Learning for Enhanced Diabetic Retinopathy Screening

Reference 16

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Observation c17c6a73-3173-4442-ac2f-8cc68ac8798d · outbound

This paper cites Data augmentation for patch-based OCT chorio-retinal segmentation using generative adversarial networks.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Data augmentation for patch-based OCT chorio-retinal segmentation using generative adversarial networks

Reference 17

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Observation 1609dce9-8847-46ae-b215-f631c9c4879e · outbound

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EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis & Kim, H.K

Reference 18

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Observation 021166d3-b05a-4741-a3e4-c472903ed021 · outbound

This paper cites & Keane, P.A.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis & Keane, P.A

Reference 19

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Observation 8bd24cf1-ff64-4474-b9d2-1db9798684da · outbound

This paper cites A foundation model for generalizable disease detection from retinal images.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis A foundation model for generalizable disease detection from retinal images

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:08:23.993891Z

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Observation 9692c01c-6a5a-49d2-8241-e50594ba87dc · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis High-Resolution Image Synthesis with Latent Diffusion Models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:08:23.980189Z

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Observation 0cadba83-f082-46b5-8500-c33548b7e1b9 · outbound

This paper cites StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners

Reference 22

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This paper cites Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

Reference 23

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Observation 94676ee9-0ec4-4668-b587-7157c5aa97fa · outbound

This paper cites OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:08:23.843385Z

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Observation 4efc9205-13bd-4d7e-b1e6-46127b1b01e9 · outbound

This paper cites REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs

Reference 25

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Observation fb5f4200-1a17-4885-9e67-1aef8db15661 · outbound

This paper cites ORIGA(-light): an online retinal fundus image database for glaucoma analysis and research.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis ORIGA(-light): an online retinal fundus image database for glaucoma analysis and research

Reference 26

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This paper cites & Gonzalez-Hernandez, M.J.t.I.S.o.C.-B.M.S.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis & Gonzalez-Hernandez, M.J.t.I.S.o.C.-B.M.S

Reference 27

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Observation 3e7ce20b-411c-4388-ab91-74999a138d4e · outbound

This paper cites Drishti-GS: Retinal image dataset for optic nerve head(ONH) segmentation.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Drishti-GS: Retinal image dataset for optic nerve head(ONH) segmentation

Reference 28

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Observation bcd9f89f-b508-4fa9-94c1-514f09a31f34 · outbound

This paper cites GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges

Reference 29

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Observation f01bc554-5cfc-4768-a0b6-2405c3a0514a · outbound

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EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Classifier-Free Diffusion Guidance

Reference 30

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Observation 20d92ddd-1ffb-4acc-9536-0817adfc944e · outbound

This paper cites Evaluating Text-to-Visual Generation with Image-to-Text Generation.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Evaluating Text-to-Visual Generation with Image-to-Text Generation

Reference 31

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This paper cites ChatFFA: An ophthalmic chat system for unified vision-language understanding and question answering for fundus fluorescein angiography.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis ChatFFA: An ophthalmic chat system for unified vision-language understanding and question answering for fundus fluorescein angiography

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:08:23.751743Z

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Observation 30174a36-9f24-4152-8030-1b1e9bdcbaee · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 33

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Observation 46b38eec-5b4f-442b-9a67-e766e25b64f4 · outbound

This paper cites Overcoming challenges in research and development of rare eye diseases.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Overcoming challenges in research and development of rare eye diseases

Reference 34

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Observation 98a5497d-6b17-4fef-9638-2f4ea16700c3 · outbound

This paper cites EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging

Reference 35

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EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysis

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:08:23.721533Z

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Observation dfa0730c-0f86-422b-8c4e-de0dfead3603 · outbound

This paper cites Diffusion models in medical imaging: A comprehensive survey.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Diffusion models in medical imaging: A comprehensive survey

Reference 37

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Observation fea7dbce-fe4e-4331-b789-052bc10c21a7 · outbound

This paper cites Bridging the Camera Domain Gap With Image-to-Image Translation Improves Glaucoma Diagnosis.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Bridging the Camera Domain Gap With Image-to-Image Translation Improves Glaucoma Diagnosis

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:08:23.689262Z

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EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Unresolved cited work

Reference 39

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EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Unresolved cited work

Reference 40

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This paper cites Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance.

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:08:23.645810Z

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EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis Diffusion Models Beat GANs on Image Synthesis

Reference 42

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Pith citing papers

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FFA Sora, video generation as fundus fluorescein angiography simulator cites this paper.

FFA Sora, video generation as fundus fluorescein angiography simulator EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis

Reference 13

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LesionGen: A Concept-Guided Diffusion Model for Dermatology Image Synthesis cites this paper.

LesionGen: A Concept-Guided Diffusion Model for Dermatology Image Synthesis EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis

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Observation 0b167483-b931-4758-98a7-797c801aa402 · inbound

Representation learning from OCT images cites this paper.

Representation learning from OCT images EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis

Reference 135

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