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Paper Citation Record · LEDGER

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining

As of 21 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2412.03629.

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

pith.paper-citation-record.v1
2412.03629 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

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measured 50 of 50 standing notices

One-hop event checks from named stored sources.

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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.

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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External citation measurements

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Outbound references

Observation 2b2b5616-8116-4cfa-94c6-939342187a44 · outbound

This paper cites Demystifying MMD GANs.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Demystifying MMD GANs

Reference 1

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Observation b3224926-8db5-4d2b-a587-feddfc22c496 · outbound

This paper cites Multi-marginal wasserstein gan.Ad- vances in Neural Information Processing Systems, 32, 2019.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Multi-marginal wasserstein gan.Ad- vances in Neural Information Processing Systems, 32, 2019

Reference 2

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Observation eb8e4ee2-44f3-4aac-8656-37a2a7e08d8a · outbound

This paper cites Smote: synthetic minority over- sampling technique.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Smote: synthetic minority over- sampling technique

Reference 3

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Observation feeddd2f-136a-4d7c-8c51-32e672788eeb · outbound

This paper cites Stargan v2: Diverse image synthesis for multiple domains.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Stargan v2: Diverse image synthesis for multiple domains

Reference 4

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Source-reported events for the cited work

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Observation 904f0aa5-7ad1-43db-ba49-840ac033311b · outbound

This paper cites Airogs: Artificial intelligence for robust glaucoma screening challenge.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Airogs: Artificial intelligence for robust glaucoma screening challenge

Reference 5

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Observation 550a4942-aa89-4ded-b24a-3cd1698222dd · outbound

This paper cites Explain- able framework for glaucoma diagnosis by image process- ing and convolutional neural network synergy: analysis with doctor evaluation.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Explain- able framework for glaucoma diagnosis by image process- ing and convolutional neural network synergy: analysis with doctor evaluation

Reference 6

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Source-reported events for the cited work

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Observation dec759bd-65cd-4856-a940-6d9ae8d4c027 · outbound

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

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

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Observation c13e0c90-1c95-4ce1-97e6-edbbbb92c8f0 · outbound

This paper cites Dr10k: Transfer learning using weak labels for grading diabetic retinopathy on dr10k dataset.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Dr10k: Transfer learning using weak labels for grading diabetic retinopathy on dr10k dataset

Reference 8

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Source-reported events for the cited work

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Observation 9557fc38-cf90-467f-9f49-3da53610cc44 · outbound

This paper cites Prevalence of diabetic retinopathy in patients with diabetes in alexandria and north-west delta, egypt.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Prevalence of diabetic retinopathy in patients with diabetes in alexandria and north-west delta, egypt

Reference 9

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Source-reported events for the cited work

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Observation 0db0adfc-b75c-4277-bc9a-aa85e5a3c6be · outbound

This paper cites Generative adversarial nets.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Generative adversarial nets

Reference 10

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Observation f9e494ee-67a8-4c97-8623-bfb9358c40fb · outbound

This paper cites Deep residual learning for image recognition.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Deep residual learning for image recognition

Reference 11

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Observation bac26e29-5d55-4786-8ce6-9e510297da6d · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 12

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Observation e145621d-9236-4cd4-a9a1-0ead4e788296 · outbound

This paper cites Denoising dif- fusion probabilistic models.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Denoising dif- fusion probabilistic models

Reference 13

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Observation 5639cfbb-6b0b-4a0f-af87-b0d199733e92 · outbound

This paper cites Classifier-Free Diffusion Guidance.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Classifier-Free Diffusion Guidance

Reference 14

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Observation 1b45edc3-af61-4803-9ed6-ec57e05ddab3 · outbound

This paper cites What do patients with glaucoma see? visual symptoms re- ported by patients with glaucoma.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining What do patients with glaucoma see? visual symptoms re- ported by patients with glaucoma

Reference 15

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Source-reported events for the cited work

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Observation c349b74f-1d83-42dc-b3bc-c8a4c4c9416e · outbound

This paper cites Ethnic diversity of retinal images used to train artificial intelligence models improves diagnostic accuracy to detect diabetic retinopathy.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Ethnic diversity of retinal images used to train artificial intelligence models improves diagnostic accuracy to detect diabetic retinopathy

Reference 16

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Source-reported events for the cited work

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Observation c3378ef9-9566-4d1c-9ce3-636105aed57e · outbound

This paper cites Decoupling Representation and Classifier for Long-Tailed Recognition.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Decoupling Representation and Classifier for Long-Tailed Recognition

Reference 17

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Observation 172d6197-9abd-4ca0-a78e-2ca01f250782 · outbound

This paper cites Unpaired Image-to-Image Translation via Neural Schr\"odinger Bridge.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Unpaired Image-to-Image Translation via Neural Schr\"odinger Bridge

Reference 18

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Observation 8b77df48-c9a9-4b7b-9a97-2f5d597139cc · outbound

This paper cites Learning from imbalanced data: open challenges and future directions.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Learning from imbalanced data: open challenges and future directions

Reference 19

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Source-reported events for the cited work

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Observation d5c63c62-22ce-42de-a765-6e87596ceb0b · outbound

This paper cites A deep learning approach to automatic detection of early glau- coma from visual fields.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining A deep learning approach to automatic detection of early glau- coma from visual fields

Reference 20

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ea988c44-0a37-49ea-b849-a921d15b9790 · outbound

This paper cites Photo- realistic single image super-resolution using a generative ad- versarial network.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Photo- realistic single image super-resolution using a generative ad- versarial network

Reference 21

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Observation 32fb9010-1a28-4308-9796-afe51a4f6024 · outbound

This paper cites Attention based glaucoma detection: A large-scale database and cnn model.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Attention based glaucoma detection: A large-scale database and cnn model

Reference 22

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Observation 4bbddaf8-b760-4bbc-a1a1-b0dbe49984b8 · outbound

This paper cites Racial differences in reti- nal vessel geometric characteristics: a multiethnic study in healthy asians.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Racial differences in reti- nal vessel geometric characteristics: a multiethnic study in healthy asians

Reference 23

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Observation 458a15f1-c7d9-4bdf-be62-7fa9d64fceb2 · outbound

This paper cites Efficacy of a deep learning system for detecting glaucomatous optic neuropathy based on color fun- dus photographs.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Efficacy of a deep learning system for detecting glaucomatous optic neuropathy based on color fun- dus photographs

Reference 24

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Observation a3c01f95-9ed0-4b32-85fd-603339b8b5f1 · outbound

This paper cites Focal loss for dense object detection.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Focal loss for dense object detection

Reference 25

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Observation d1a94284-ef52-49b0-9515-5a6f8956ac57 · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 26

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Observation b2d80325-7924-41c7-a934-b59f90671dec · outbound

This paper cites Exploring the limits of weakly supervised pretraining.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Exploring the limits of weakly supervised pretraining

Reference 27

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Observation eb83ec41-d7b3-4faf-81de-3239070f5b2c · outbound

This paper cites Refuge challenge: A unified framework for evaluat- ing automated methods for glaucoma assessment from fun- dus photographs.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Refuge challenge: A unified framework for evaluat- ing automated methods for glaucoma assessment from fun- dus photographs

Reference 28

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Source-reported events for the cited work

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Observation 7ef59596-9d88-4ac9-a1db-d8e319e2ef19 · outbound

This paper cites The Effectiveness of Data Augmentation in Image Classification using Deep Learning.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining The Effectiveness of Data Augmentation in Image Classification using Deep Learning

Reference 29

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Observation 3771404c-4474-494d-9cd9-cff39b3b8825 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining High-resolution image synthesis with latent diffusion models

Reference 30

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Observation 5801fc03-aba4-46da-b26b-c28ea8dc6516 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining U- net: Convolutional networks for biomedical image segmen- tation

Reference 31

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Source-reported events for the cited work

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Observation 9d875708-a095-448b-b870-02508fde81ea · outbound

This paper cites Improved techniques for training gans.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Improved techniques for training gans

Reference 32

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Observation 04d11da1-5520-40f9-9291-75380555f1e3 · outbound

This paper cites Simplifying neural network training under class imbalance.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Simplifying neural network training under class imbalance

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d4649bb7-aaaa-417e-8d7b-85a3d334194c · outbound

This paper cites Gans for medical image synthesis: An empirical study.Jour- nal of Imaging, 9(3):69, 2023.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Gans for medical image synthesis: An empirical study.Jour- nal of Imaging, 9(3):69, 2023

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:24:27.295036Z digest=sha256:02a27f0df173292027f3ec15a2c042ad6128a3e8a0293d6b8aab5591f7a1b546

Observation 5ddc1144-e2b5-4ff8-ae64-b0a1801ec401 · outbound

This paper cites Learning structured output representation using deep conditional gen- erative models.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Learning structured output representation using deep conditional gen- erative models

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-11T22:24:27.760276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:24:27.299715Z digest=sha256:913a274388fdfcb00cfaa9da1bf5d6f7bf6e777c71c4850c3eeb03ba7868dbe1

Observation 9cab0378-e5f0-4d25-9439-da85291fe735 · outbound

This paper cites Denoising Diffusion Implicit Models.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Denoising Diffusion Implicit Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T22:24:27.306591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:27.306591Z digest=sha256:cc1bb6e4eb7a95d3acde3ebff84b65b9201ead03c550a8639645c169d40af424

Observation c2ee8b12-ebaf-4906-9ac4-1b9b00c2de18 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Score-Based Generative Modeling through Stochastic Differential Equations

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T22:24:27.311699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:27.311699Z digest=sha256:83f758ad5c4eca3c8f8acb815b67c7776f7cda6d36b8d50ad3fd03abf9434004

Observation 0eacddf1-9029-40da-acbf-b339364eac40 · outbound

This paper cites Cost-sensitive boosting for classification of imbalanced data.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Cost-sensitive boosting for classification of imbalanced data

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:27.744053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:24:27.316523Z digest=sha256:bd5c8fba8575dd5e264a397c3a89ade2d1090d88d2888f0734fcd15d2f63bb24

Observation f36e0a91-fa3a-47a8-9b3d-65894f3b5988 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 39

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unresolved
no resolver link, observed 2026-08-11T22:24:27.323278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:27.323278Z digest=sha256:6d6d41b563682b961930af794ded2aa092e02be7dcca4180842c4ec035bb1263

Observation ff53e1b3-1f4c-4d5f-8af8-b289dbc2e300 · outbound

This paper cites Strategies for improving early detection of glau- coma: the combined structure–function index.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Strategies for improving early detection of glau- coma: the combined structure–function index

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:27.718212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:24:27.329087Z digest=sha256:7d27a395ee98520f313e01d6ecc55835ed7585f84d7180924444430e0ed00674

Observation 93f5d2c0-6b5a-46cb-bf88-305784670833 · outbound

This paper cites Cost-sensitive learning methods for imbalanced data.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Cost-sensitive learning methods for imbalanced data

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:27.702676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:24:27.335875Z digest=sha256:e9e91b223f7871c5ab5c1ef9327a853d6d9c8c463c5aaf77e7d937c2170f410b

Observation 7cbd8f27-7375-4acd-a4e0-defeb18dd94d · outbound

This paper cites Global prevalence of glau- coma and projections of glaucoma burden through 2040: a systematic review and meta-analysis.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Global prevalence of glau- coma and projections of glaucoma burden through 2040: a systematic review and meta-analysis

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:27.685758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:24:27.341545Z digest=sha256:87fa947df61863db0fe4354bf567c6b91c7901fc20f7a9de9053a20f0944e054

Observation ff07788b-660b-4b6c-b79f-3859a046806d · outbound

This paper cites Racial varia- tions in the prevalence of primary open-angle glaucoma: the baltimore eye survey.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Racial varia- tions in the prevalence of primary open-angle glaucoma: the baltimore eye survey

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:27.667849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:24:27.347379Z digest=sha256:2ac5f758e68494e4a404dacfa4496d95502f44c07dfdeda10e1a4a60097f760f

Observation 0c825f4a-3942-458f-9398-fbd0d43eb48b · outbound

This paper cites Going deeper with Image Transformers.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Going deeper with Image Transformers

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T22:24:27.352929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:27.352929Z digest=sha256:8a8a48c0de7d9ebed3235015d2ca782185c3ea0de44e816940379dc10f348474

Observation bced734e-769d-4cdb-95fd-a330ad46b94f · outbound

This paper cites Experimental perspectives on learning from imbal- anced data.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Experimental perspectives on learning from imbal- anced data

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:27.651033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:24:27.358707Z digest=sha256:c96318012280e0af21276188df084eea0463205c0a8ef14564b90ebf43081fba

Observation 0cb8da05-1762-4532-8b3c-e2f80c7f4559 · outbound

This paper cites Attention is all you need.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Attention is all you need

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T22:24:27.363399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:27.363399Z digest=sha256:27abf78e535a81fd453a5e4086291b80cae8dedb58568ef019fbc500fa776633

Observation 4ef541f5-ba42-4bdd-ab35-3362c757ee89 · outbound

This paper cites Vision transformers based classification for glau- comatous eye condition.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Vision transformers based classification for glau- comatous eye condition

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:27.622135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:24:27.367990Z digest=sha256:03c5426a455c8d3fde6dd4eabe3110bb2723ced2843902bd4f28a77b51afe13e

Observation ae9b51fc-a096-4e25-b567-e29a8301eaa9 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining The unreasonable effectiveness of deep features as a perceptual metric

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T22:24:27.372800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:27.372800Z digest=sha256:0642cdfd753508a61329239bf8d8aa0e326d952c07a9fdf8b21adc243ac7d97d

Observation 36b1802e-cc35-4c97-9a72-db13ce0f46fe · outbound

This paper cites Weakly-supervised simultaneous evidence identification and segmentation for automated glaucoma di- agnosis.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Weakly-supervised simultaneous evidence identification and segmentation for automated glaucoma di- agnosis

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:27.596673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:24:27.377860Z digest=sha256:31f7c1bf3868e666b422e25f809fb6bc7ec74c5ae891e8fbe42b044ac5705fe8

Observation 11ee5fce-13be-4c27-950c-691eb94ec659 · outbound

This paper cites Unpaired image-to-image translation using cycle- consistent adversarial networks.

DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Unpaired image-to-image translation using cycle- consistent adversarial networks

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:27.580649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:24:27.383626Z digest=sha256:fa11a00de239127a6d96642962301de5c4651a84b6c7faf2e20b2a330045ef0d

Pith citing papers

No inbound Pith citation observations are available.