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DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction

As of 4 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2606.09140.

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measured 56 of 56 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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56 of 56 outbound references displayed

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Outbound references

Observation d715e66c-d314-4315-bc02-1e9072101d17 · outbound

This paper cites Glaucoma as a neurodegenerative disease,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Glaucoma as a neurodegenerative disease,

Reference 1

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Observation c0f59a08-e8d0-4dab-904d-74b942d790fa · outbound

This paper cites Global causes of blindness and distance vision impairment 1990–2020: a systematic review and meta-analysise,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Global causes of blindness and distance vision impairment 1990–2020: a systematic review and meta-analysise,

Reference 2

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Observation c96d8b7f-69f4-4fcd-9919-ab09d5af8b5d · outbound

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

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis,

Reference 3

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Observation 513d9ced-bf9b-4b49-affa-6776ec5d81af · outbound

This paper cites A compre- hensive review of deep learning strategies in retinal disease diagnosis using fundus images,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction A compre- hensive review of deep learning strategies in retinal disease diagnosis using fundus images,

Reference 4

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Observation c883c652-0256-4a14-bbe2-3989e9dff4a5 · outbound

This paper cites Recent trends and advances in fundus image analysis: A review,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Recent trends and advances in fundus image analysis: A review,

Reference 5

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Observation 803e0654-1627-4c76-9f6b-627438f83168 · outbound

This paper cites The ocular hypertension treatment study: Design and baseline description of the participants,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction The ocular hypertension treatment study: Design and baseline description of the participants,

Reference 6

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Observation 662a405c-9c61-438b-b012-42aa4f7d91f4 · outbound

This paper cites The age-related eye disease study (AREDS): design implications areds report no. 1,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction The age-related eye disease study (AREDS): design implications areds report no. 1,

Reference 7

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Observation 221aeb09-033d-4f0f-91cb-9c3a888a8cb5 · outbound

This paper cites DeepGF: Glaucoma forecast using the sequential fundus images,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction DeepGF: Glaucoma forecast using the sequential fundus images,

Reference 8

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Observation e898337a-a396-4cdd-a076-67d10cfaf7ae · outbound

This paper cites GRAPE: A multi-modal dataset of longitudinal follow-up visual field and fundus images for glaucoma management,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction GRAPE: A multi-modal dataset of longitudinal follow-up visual field and fundus images for glaucoma management,

Reference 9

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Observation 7c2b5652-59cb-4bb8-a741-a5483e142e1f · outbound

This paper cites A deep learning system for myopia onset prediction and intervention effectiveness evaluation in children,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction A deep learning system for myopia onset prediction and intervention effectiveness evaluation in children,

Reference 10

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Observation 41211e32-1aa5-4fa0-be99-a71b71939c89 · outbound

This paper cites CANet: Cross- disease attention network for joint diabetic retinopathy and diabetic macular edema grading,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction CANet: Cross- disease attention network for joint diabetic retinopathy and diabetic macular edema grading,

Reference 11

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Observation c12ec0ff-8d22-4e9a-99b4-c9ff4cf1d675 · outbound

This paper cites CABNet: Category attention block for imbalanced diabetic retinopathy grading,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction CABNet: Category attention block for imbalanced diabetic retinopathy grading,

Reference 12

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Observation 90d6f66d-772c-4d4a-bd96-4af30b54b7c5 · outbound

This paper cites Cataract detection and visualization based on multi-scale deep features by rinet tuned with cyclic learning rate hyperparameter,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Cataract detection and visualization based on multi-scale deep features by rinet tuned with cyclic learning rate hyperparameter,

Reference 13

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Observation 7012b8be-74cc-41e9-a777-8462a2256acd · outbound

This paper cites Accelerating cardiac radial-mri: Fully polar based technique using compressed sensing and deep learning,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Accelerating cardiac radial-mri: Fully polar based technique using compressed sensing and deep learning,

Reference 14

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source=pdf_text observed=2026-06-27T17:15:23.405848Z digest=sha256:1a95a067dcecc7278648d27ec3ef0557461b72e3b665e8bb3989ce15936dd8fe

Observation 4dc954a8-91ba-436f-baef-7339d90c3068 · outbound

This paper cites Joint optic disc and cup segmentation based on multi-label deep network and polar transformation,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Joint optic disc and cup segmentation based on multi-label deep network and polar transformation,

Reference 15

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source=pdf_text observed=2026-06-27T17:15:23.405848Z digest=sha256:f2be29e4643575bc677d10d42ae831479d58fda2c25dea961bb781df8e5a21f9

Observation 70a6dc8a-cea2-4b31-864f-c144ca72fca8 · outbound

This paper cites A novel glau- coma detection model using unet++-based segmentation and resnet with gru-based optimized deep learning,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction A novel glau- coma detection model using unet++-based segmentation and resnet with gru-based optimized deep learning,

Reference 16

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source=pdf_text observed=2026-06-27T17:15:23.405848Z digest=sha256:2e47f639cd0ee3a38acda8dd7ac88c80d84c159f38793ed15bef5c79d7fa06e3

Observation 4509a7d1-4b7b-4b7b-a3fe-f315dcad6788 · outbound

This paper cites CDAM- Net: Channel shuffle dual attention based multi-scale cnn for efficient glaucoma detection using fundus images,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction CDAM- Net: Channel shuffle dual attention based multi-scale cnn for efficient glaucoma detection using fundus images,

Reference 17

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Observation 2b37ef67-55c8-4fef-a0f9-e882ea785048 · outbound

This paper cites A generalizable deep learning regression model for automated glaucoma screening from fundus images,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction A generalizable deep learning regression model for automated glaucoma screening from fundus images,

Reference 18

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Observation 0a46b19a-1f27-42ac-b311-9ce1c2141f42 · outbound

This paper cites RDD-Net: Randomized joint data- feature augmentation and deep-shallow feature fusion networks for automated diagnosis of glaucoma,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction RDD-Net: Randomized joint data- feature augmentation and deep-shallow feature fusion networks for automated diagnosis of glaucoma,

Reference 19

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Observation d3d1f451-f9cc-4320-97af-e0e346a648d4 · outbound

This paper cites Convolutional neural network transfer for automated glaucoma iden- tification,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Convolutional neural network transfer for automated glaucoma iden- tification,

Reference 20

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Observation a31fbd78-da20-477e-b912-9c30b427eb54 · outbound

This paper cites A fast and fully automated system for glaucoma detection using color fundus photographs,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction A fast and fully automated system for glaucoma detection using color fundus photographs,

Reference 21

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Observation 67323e65-7432-45aa-b6c3-ace89823030c · outbound

This paper cites Deep relation transformer for diagnosing glaucoma with optical coherence tomography and visual field function,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Deep relation transformer for diagnosing glaucoma with optical coherence tomography and visual field function,

Reference 22

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Observation 544e3e68-1eff-4524-af65-b8d30661e8e5 · outbound

This paper cites Parallel multi-path network for ocular disease detection inspired by visual cognition mechanism,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Parallel multi-path network for ocular disease detection inspired by visual cognition mechanism,

Reference 23

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Observation c743acba-d43a-4319-8e0f-f36ebec05622 · outbound

This paper cites Long short-term memory model based microaneurysm sequence classification in fundus images,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Long short-term memory model based microaneurysm sequence classification in fundus images,

Reference 24

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source=pdf_text observed=2026-06-27T17:15:23.405848Z digest=sha256:27e3aed5dba028764e69309720ba28ac230bbd399ff51c91298dacbb95e932c3

Observation 900de98e-1a11-4746-a590-57fa11261ae1 · outbound

This paper cites GLIM-Net: Chronic glaucoma forecast transformer for irregularly sampled sequential fundus images,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction GLIM-Net: Chronic glaucoma forecast transformer for irregularly sampled sequential fundus images,

Reference 25

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Observation 19238d6d-ad45-4751-831d-d354acf5345f · outbound

This paper cites Multi-scale spatio-temporal transformer-based imbalanced longitudinal learning for glaucoma forecasting from irregular time series images,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Multi-scale spatio-temporal transformer-based imbalanced longitudinal learning for glaucoma forecasting from irregular time series images,

Reference 26

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Observation ea4707bc-e4e9-42a9-b138-580adfe29a6e · outbound

This paper cites A foun- dation model for generalizable disease detection from retinal images,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction A foun- dation model for generalizable disease detection from retinal images,

Reference 27

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Observation 8adeadce-cb05-4556-ab5c-3e6283b0ebec · outbound

This paper cites Development and validation of a multimodal multitask vision foundation model for generalist ophthalmic artificial intelligence,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Development and validation of a multimodal multitask vision foundation model for generalist ophthalmic artificial intelligence,

Reference 28

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Observation e4e64199-8494-4c99-b38a-3f3f2cb0543a · outbound

This paper cites An eyecare foundation model for clinical assistance: a randomized controlled trial,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction An eyecare foundation model for clinical assistance: a randomized controlled trial,

Reference 29

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Observation 3bed23ee-fe68-4098-9f8d-18926a436855 · outbound

This paper cites A multimodal visual–language foundation model for computational ophthalmology,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction A multimodal visual–language foundation model for computational ophthalmology,

Reference 30

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Observation 92ebbbb6-01ca-40d1-834a-561491ef9cca · outbound

This paper cites Multi-knowledge informed deep learning model for multi-point prediction of alzheimer’s disease progression,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Multi-knowledge informed deep learning model for multi-point prediction of alzheimer’s disease progression,

Reference 31

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Observation ed941fc9-958c-4b48-ad11-45fffeb63a0c · outbound

This paper cites Prediction of disease- related femur shape changes using geometric encoding and clinical context on a hip disease ct database,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Prediction of disease- related femur shape changes using geometric encoding and clinical context on a hip disease ct database,

Reference 32

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Observation 18adf06e-3755-488c-934a-e7441a5b9cd7 · outbound

This paper cites Risk estimation of knee os- teoarthritis progression via predictive multi-task modelling from efficient diffusion model using X-Ray images,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Risk estimation of knee os- teoarthritis progression via predictive multi-task modelling from efficient diffusion model using X-Ray images,

Reference 33

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Observation 91c51b1b-048f-45dc-ace1-cb87c8b5b3e3 · outbound

This paper cites Morph- ssl: Self-supervision with longitudinal morphing for forecasting amd progression from oct volumes,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Morph- ssl: Self-supervision with longitudinal morphing for forecasting amd progression from oct volumes,

Reference 34

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Observation ffca808c-dcfa-4a03-8165-ba9c903aaae8 · outbound

This paper cites Learning spatio-temporal model of disease progression with neuralodes from longitudinal volumetric data,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Learning spatio-temporal model of disease progression with neuralodes from longitudinal volumetric data,

Reference 35

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Observation f64e6fbe-4b3a-47af-b8b5-58fc1e8558d9 · outbound

This paper cites LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression,

Reference 36

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Observation e4c6086f-316a-40a5-af0b-c93d9d6960fe · outbound

This paper cites Convolutional LSTM network: A machine learning approach for precipitation nowcasting,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Convolutional LSTM network: A machine learning approach for precipitation nowcasting,

Reference 37

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Observation 848594ac-7a6d-4132-b736-0feb3b2da824 · outbound

This paper cites RetainVis: Visual analytics with interpretable and interactive recurrent neural networks on electronic medical records,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction RetainVis: Visual analytics with interpretable and interactive recurrent neural networks on electronic medical records,

Reference 38

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Observation 5d725215-272d-4561-8c0c-374abee17dda · outbound

This paper cites DATA-GRU: Dual-attention time-aware gated recurrent unit for irregular multivariate time series,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction DATA-GRU: Dual-attention time-aware gated recurrent unit for irregular multivariate time series,

Reference 39

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Observation 76e4c760-b970-4bc9-96f0-205f14370a27 · outbound

This paper cites A spatiotemporal convolution recurrent neural network for pixel-level peripapillary atro- phy prediction using sequential fundus images,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction A spatiotemporal convolution recurrent neural network for pixel-level peripapillary atro- phy prediction using sequential fundus images,

Reference 40

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Observation d57ea50d-0bb3-4d54-98f1-2c12fde151aa · outbound

This paper cites Transformers in medical imaging: A survey,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Transformers in medical imaging: A survey,

Reference 41

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Observation 65d95a5b-d329-4389-be59-d33af1494350 · outbound

This paper cites Transformers in medical imaging: A survey,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Transformers in medical imaging: A survey,

Reference 42

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Observation 20c39765-c4a2-4cad-9c30-46cec7d6315b · outbound

This paper cites Med-Former: A transformer based archi- tecture for medical image classification,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Med-Former: A transformer based archi- tecture for medical image classification,

Reference 43

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Observation 6be101f9-92f5-41f0-924a-47e85c675b74 · outbound

This paper cites ReconFormer: Accelerated MRI reconstruction using recurrent transformer,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction ReconFormer: Accelerated MRI reconstruction using recurrent transformer,

Reference 44

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Observation a1933b63-9954-4a29-a5f1-4dd5ad657b9f · outbound

This paper cites METransformer: Radiology report generation by transformer with multiple learnable expert tokens,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction METransformer: Radiology report generation by transformer with multiple learnable expert tokens,

Reference 45

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Observation 2b7f3aa7-c1da-4343-af49-af41abc2d5a4 · outbound

This paper cites Longitudinal multimodal transformer integrating imaging and latent clinical signatures from routine ehrs for pulmonary nodule classification,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Longitudinal multimodal transformer integrating imaging and latent clinical signatures from routine ehrs for pulmonary nodule classification,

Reference 46

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Observation fac059e4-a8a6-43b5-85c7-c7381e24442c · outbound

This paper cites Pattern-aware transformer: Hierarchical pattern propagation in sequential medical images,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Pattern-aware transformer: Hierarchical pattern propagation in sequential medical images,

Reference 47

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Observation 56d092d7-7e5a-4aa3-8c07-4f65bceb433e · outbound

This paper cites Spatiotemporal representation learning for short and long medical image time series,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Spatiotemporal representation learning for short and long medical image time series,

Reference 48

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Observation 91c9a4ed-0a8d-45a9-b7ec-9671f28b6787 · outbound

This paper cites LongFormer: Longitudinal transformer for alzheimer’s disease classification with structural mris,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction LongFormer: Longitudinal transformer for alzheimer’s disease classification with structural mris,

Reference 49

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Observation c8637c6a-eca5-4453-a411-3e7c2dab5bf1 · outbound

This paper cites Multimodal deep learning for predicting in-hospital mortality in heart failure patients using longitudinal chest x-rays and electronic health records,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Multimodal deep learning for predicting in-hospital mortality in heart failure patients using longitudinal chest x-rays and electronic health records,

Reference 50

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Observation 915191ac-16b3-4480-8ad5-d821ed6c91ea · outbound

This paper cites Time series as images: Vision transformer for irregularly sampled time series,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Time series as images: Vision transformer for irregularly sampled time series,

Reference 51

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Observation 6e36d2dd-240d-4880-9f1f-62b45f7c1b1e · outbound

This paper cites XTSFormer: Cross- temporal-scale transformer for irregular-time event prediction in clinical applications,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction XTSFormer: Cross- temporal-scale transformer for irregular-time event prediction in clinical applications,

Reference 52

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Observation 00e3fa4d-ad91-45bb-bf7b-ab617e1076cf · outbound

This paper cites Uniformer: Unifying convolution and self-attention for visual recognition,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Uniformer: Unifying convolution and self-attention for visual recognition,

Reference 53

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Observation d78be8a0-1d16-45d3-ac0c-97fcbcf59e34 · outbound

This paper cites Harnessing the power of longitu- dinal medical imaging for eye disease prognosis using transformer-based sequence modeling,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Harnessing the power of longitu- dinal medical imaging for eye disease prognosis using transformer-based sequence modeling,

Reference 54

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Observation e13d0bce-4251-431f-9a67-b826cc879cbe · outbound

This paper cites AutoMorph: Automated retinal vascular morphology quantifica- tion via a deep learning pipeline,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction AutoMorph: Automated retinal vascular morphology quantifica- tion via a deep learning pipeline,

Reference 55

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Observation 065b41d8-a7e0-4b94-8dee-7a76fe0c88a8 · outbound

This paper cites Attention is all you need,.

DiffSight-Former: Modeling Structural Differences and Temporal Dynamics for Glaucoma Progression Prediction Attention is all you need,

Reference 56

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