Paper Citation Record · LEDGER

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation

As of 20 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2509.08624.

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

pith.paper-citation-record.v1
2509.08624 v1

Coverage vector

measured 40 of 40 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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40 of 40 outbound references displayed

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Outbound references

Observation ab93b75c-daab-4bb3-bc9d-626630afa1cb · outbound

This paper cites The possibility of the combination of oct and fundus images for improving the diagnostic accuracy of deep learning for age- related macular degeneration: a preliminary experiment,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation The possibility of the combination of oct and fundus images for improving the diagnostic accuracy of deep learning for age- related macular degeneration: a preliminary experiment,

Reference 1

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Observation d63a81ac-c218-4289-9a3a-ff505e465960 · outbound

This paper cites Application of machine learning in ophthalmic imaging modalities,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Application of machine learning in ophthalmic imaging modalities,

Reference 2

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Observation cebe2a4e-49ee-497a-b30e-74171d445d23 · outbound

This paper cites Ophthalmic fundus imaging: today and beyond,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Ophthalmic fundus imaging: today and beyond,

Reference 3

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Observation 16a22204-e57d-4f73-adba-a6d6290ad87f · outbound

This paper cites VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence

Reference 4

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Observation 14e38210-ead0-4d48-a5cf-6042d6035eaa · outbound

This paper cites Multimodal machine learning: A survey and taxonomy,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Multimodal machine learning: A survey and taxonomy,

Reference 5

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Observation c258ac26-bcb3-42a5-ba8c-d5294b323257 · outbound

This paper cites Clip-art: Contrastive pre-training for fine- grained art classification,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Clip-art: Contrastive pre-training for fine- grained art classification,

Reference 6

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Observation 2d1c6bca-61f8-4697-a074-657eb3828c94 · outbound

This paper cites Multi-modal retinal image clas- sification with modality-specific attention network,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Multi-modal retinal image clas- sification with modality-specific attention network,

Reference 7

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Observation 3fd41547-0f9d-4260-91be-4d0f82e769dd · outbound

This paper cites Cross-modal attention network for retinal disease classification based on multi-modal images,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Cross-modal attention network for retinal disease classification based on multi-modal images,

Reference 8

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Observation b68f9b3c-1dd1-430d-bfed-4d827efc48b0 · outbound

This paper cites Tagat: Topology-aware graph attention network for multi-modal retinal image fusion,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Tagat: Topology-aware graph attention network for multi-modal retinal image fusion,

Reference 9

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Observation dd030c2a-99f7-496f-9c81-b408bbf0a276 · outbound

This paper cites A multimodal imaging–based deep learning model for detecting treatment-requiring retinal vascular diseases: model development and validation study,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation A multimodal imaging–based deep learning model for detecting treatment-requiring retinal vascular diseases: model development and validation study,

Reference 10

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Observation 95210a1d-989b-484a-ab7d-30c100fdb5de · outbound

This paper cites Understanding multimodal contrastive learning and incorporating un- paired data,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Understanding multimodal contrastive learning and incorporating un- paired data,

Reference 11

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Observation 128d74ce-983d-4384-900b-fd98fa315a13 · outbound

This paper cites Multieye: Dataset and benchmark for oct-enhanced retinal disease recognition from fundus images,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Multieye: Dataset and benchmark for oct-enhanced retinal disease recognition from fundus images,

Reference 12

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Observation 223e2c2c-d018-4bca-980e-f07c210e5b53 · outbound

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

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation A foundation model for generalizable disease detection from retinal images,

Reference 13

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Observation a90fccf4-8729-4519-b914-e2c8496ec86b · outbound

This paper cites Urfound: Towards universal retinal foundation models via knowledge-guided masked modeling,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Urfound: Towards universal retinal foundation models via knowledge-guided masked modeling,

Reference 14

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Observation 48316e50-25e0-42ea-b4ef-ae039840a1e6 · outbound

This paper cites A foundation language-image model of the retina (flair): Encoding expert knowledge in text supervision,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation A foundation language-image model of the retina (flair): Encoding expert knowledge in text supervision,

Reference 15

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Observation 412829ba-134a-4a2e-8309-cba6bc233dda · outbound

This paper cites Ret-clip: A retinal image foundation model pre-trained with clinical diagnostic reports,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Ret-clip: A retinal image foundation model pre-trained with clinical diagnostic reports,

Reference 16

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Observation 3b869ac5-a65d-40bd-92f4-07e6586c5941 · outbound

This paper cites Vilref: an expert knowledge enabled vision-language retinal foundation model,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Vilref: an expert knowledge enabled vision-language retinal foundation model,

Reference 17

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Observation 01c56104-4024-4a7c-b68f-511046bf6c1e · outbound

This paper cites Enhancing diagnostic accuracy in rare and common fundus diseases with a knowledge-rich vision-language model,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Enhancing diagnostic accuracy in rare and common fundus diseases with a knowledge-rich vision-language model,

Reference 18

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Observation da6dc5e3-8d11-4e45-a06d-b4d738e9e2d0 · outbound

This paper cites VisionUnite: A Vision-Language Foundation Model for Ophthalmology Enhanced with Clinical Knowledge.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation VisionUnite: A Vision-Language Foundation Model for Ophthalmology Enhanced with Clinical Knowledge

Reference 19

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Observation 10ad670f-836b-4812-a569-006af7397f4f · outbound

This paper cites Language enhanced model for eye (leme): An open-source ophthalmology-specific large language model,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Language enhanced model for eye (leme): An open-source ophthalmology-specific large language model,

Reference 20

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Observation b5d75a99-fa98-48c1-82db-f97106611830 · outbound

This paper cites Is there any predilection of left eyes for glaucoma?.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Is there any predilection of left eyes for glaucoma?

Reference 21

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Observation 9e979458-80b9-488a-bea5-a9f4799d35c4 · outbound

This paper cites Feature prediction across eye movements is location specific and based on retinotopic coordinates,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Feature prediction across eye movements is location specific and based on retinotopic coordinates,

Reference 22

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Observation 599643e6-cfed-4b9c-926b-158ae03780c8 · outbound

This paper cites Spatio-temporal signatures to predict retinal disease recurrence,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Spatio-temporal signatures to predict retinal disease recurrence,

Reference 23

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Observation cd454f0e-723d-4bdc-ac2f-029fff78cbc2 · outbound

This paper cites Spatial analysis reveals vascular changes in retinal and choroidal vessel perfusion in intermediate amd with reticular pseudodrusen,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Spatial analysis reveals vascular changes in retinal and choroidal vessel perfusion in intermediate amd with reticular pseudodrusen,

Reference 24

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Observation 61010938-1ec5-485e-877c-29d7f607107d · outbound

This paper cites Sd-layernet: Semi-supervised retinal layer segmentation in oct using disentangled representation with anatomical priors,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Sd-layernet: Semi-supervised retinal layer segmentation in oct using disentangled representation with anatomical priors,

Reference 25

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Observation 418534a5-7d2d-4f0b-af1d-3078df504529 · outbound

This paper cites Attention is all you need,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Attention is all you need,

Reference 26

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Observation 9a604822-ab9c-440e-8f19-522af0f355d2 · outbound

This paper cites Demystifying CLIP Data.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Demystifying CLIP Data

Reference 27

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Observation 84dfc6fd-3026-4284-a350-6e621b8f16d4 · outbound

This paper cites Biomedbert: A pre-trained biomedical language model for qa and ir,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Biomedbert: A pre-trained biomedical language model for qa and ir,

Reference 28

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Observation 3ec92563-a30b-4f5e-a8a7-49c2d284524b · outbound

This paper cites Evaluation of retinal image quality assessment networks in different color-spaces,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Evaluation of retinal image quality assessment networks in different color-spaces,

Reference 29

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Observation fa9a2659-ec2c-454a-ac32-07dc4f19911d · outbound

This paper cites Feedback on a publicly distributed image database: the messidor database,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Feedback on a publicly distributed image database: the messidor database,

Reference 30

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Observation d7ba5c4f-f0a6-4b11-b62c-de3a0fc46a31 · outbound

This paper cites Idrid: Diabetic retinopathy–segmentation and grading challenge,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Idrid: Diabetic retinopathy–segmentation and grading challenge,

Reference 31

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Observation 10df61eb-7697-4e4c-8d0c-44eca43a19f1 · outbound

This paper cites APTOS 2019 Blindness Detection,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation APTOS 2019 Blindness Detection,

Reference 32

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Observation b07cae15-db41-4e80-858f-d1ee399f478d · outbound

This paper cites Papila: Dataset with fundus images and clinical data of both eyes of the same patient for glaucoma assessment,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Papila: Dataset with fundus images and clinical data of both eyes of the same patient for glaucoma assessment,

Reference 33

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Observation 8642aa5a-21fd-48e6-8c12-c19b911d5efe · outbound

This paper cites A deep learning model for the detection of both advanced and early glaucoma using fundus photography,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation A deep learning model for the detection of both advanced and early glaucoma using fundus photography,

Reference 34

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Observation ff1bbb65-e1ea-4e56-b8c0-2ecddbbd2821 · outbound

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

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks,

Reference 35

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Observation 09e17a7d-bc36-4f43-827b-085c9c1cbabc · outbound

This paper cites Retinal fundus multi-disease image dataset (rfmid): A dataset for multi-disease detection research,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Retinal fundus multi-disease image dataset (rfmid): A dataset for multi-disease detection research,

Reference 36

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This paper cites Peking university international competition on ocular disease intelligent recognition (odir-2019),.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Peking university international competition on ocular disease intelligent recognition (odir-2019),

Reference 37

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This paper cites Unimed-clip: Towards a unified image-text pretraining paradigm for diverse medical imaging modalities,.

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Unimed-clip: Towards a unified image-text pretraining paradigm for diverse medical imaging modalities,

Reference 38

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Observation deafd85e-5a1e-4d1b-a23d-769ee4e45666 · outbound

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

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation Learning transferable visual models from natural language supervision,

Reference 39

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Observation 057b2319-f08c-4544-a596-ec185bed9264 · outbound

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

UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 40

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Pith citing papers

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