PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis | Paper Citation Record

Observation f734de23-a2c2-4c48-93d0-27f5f9171264 · outbound

This paper cites Quantifying Attention Flow in Transformers.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Quantifying Attention Flow in Transformers

Reference 1

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Observation 7399d2f7-da7d-453b-8a03-243d692ebac7 · outbound

This paper cites bioRxiv,pages2023– 03, 2023.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis bioRxiv,pages2023– 03, 2023

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.666865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6207158a-c181-4314-8642-fe7fb8d1b1d3 · outbound

This paper cites Interpretable detection of epiretinal membrane from optical coherence tomography with deep neural networks.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Interpretable detection of epiretinal membrane from optical coherence tomography with deep neural networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.657062Z

Source-reported events for the cited work

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Observation eca72577-d50e-4705-a78a-7c59c5e796a6 · outbound

This paper cites Deeplearning predicts hip fracture using confounding patient and healthcare vari- ables.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Deeplearning predicts hip fracture using confounding patient and healthcare vari- ables

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.647619Z

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Observation 1da9f070-701d-4a35-b2a7-71705287b871 · outbound

This paper cites A case-based interpretable deep learning model for classification of mass lesions in digital mammography.Nature Machine Intelligence, 3(12):1061– 1070, 2021.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis A case-based interpretable deep learning model for classification of mass lesions in digital mammography.Nature Machine Intelligence, 3(12):1061– 1070, 2021

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.635031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9d2a4aab-dfdb-43ff-940c-0ad39c817e4b · outbound

This paper cites Flexivit: One model for all patch sizes.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Flexivit: One model for all patch sizes

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.625235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cfcd0d89-b4bd-436e-8c96-27e8d96e6006 · outbound

This paper cites B- cos alignment for inherently interpretable cnns and vision transform- ers.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis B- cos alignment for inherently interpretable cnns and vision transform- ers

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.614293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7450c26c-cfdf-461e-9c6b-4cb9b32fcf48 · outbound

This paper cites Transformer interpretability beyond attention visualization.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Transformer interpretability beyond attention visualization

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.603845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7c5c0cef-da9e-4c6a-8d16-3cda200090b0 · outbound

This paper cites This looks like that: deep learning for in- terpretable image recognition.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis This looks like that: deep learning for in- terpretable image recognition

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.592962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ab03a7fa-c20e-4df6-b0e7-5001c85e9fad · outbound

This paper cites Randaugment:Practicalautomateddataaugmentationwithareduced search space.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Randaugment:Practicalautomateddataaugmentationwithareduced search space

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:25:15.821673Z

Source-reported events for the cited work

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Observation 9448bd30-3d97-4a2c-9384-ece9f79b1885 · outbound

This paper cites Aiforradiographic covid-19 detection selects shortcuts over signal.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Aiforradiographic covid-19 detection selects shortcuts over signal

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.575455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 218f7fe6-315d-4070-b6a2-797f18026b82 · outbound

This paper cites This actually looks like that: Proto-BagNets for local and global interpretability-by-design.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis This actually looks like that: Proto-BagNets for local and global interpretability-by-design

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:25:21.067122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9d9fe4a5-a664-4613-98d4-81759f08aded · outbound

This paper cites Pretrained deep 2.5 d models for efficient predictive modeling from retinal oct: A pinnacle study report.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Pretrained deep 2.5 d models for efficient predictive modeling from retinal oct: A pinnacle study report

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.566269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6454f237-a166-440c-96e4-c39c22777b67 · outbound

This paper cites Attention to lesion: Lesion-aware convolu- tionalneuralnetworkforretinalopticalcoherencetomographyimage classification.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Attention to lesion: Lesion-aware convolu- tionalneuralnetworkforretinalopticalcoherencetomographyimage classification

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.556337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8ee77557-77aa-4536-9ce2-34797aac3fc5 · outbound

This paper cites an unresolved cited work.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:25:21.545057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e83ebc92-41dc-4ba0-93a2-e93c3e87ca14 · outbound

This paper cites Early and intermediate age-related macular degeneration: update and clinical review.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Early and intermediate age-related macular degeneration: update and clinical review

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.531758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 382fab94-866b-4b04-b831-2264ac395dfc · outbound

This paper cites Octid: Optical coherence tomography image database.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Octid: Optical coherence tomography image database

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.519022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 385a5136-b594-414e-b4bc-2f31bf67dfb3 · outbound

This paper cites Kfwc: a knowledge-drivendeeplearningmodelforfine-grainedclassification of wet-amd.Computer Methods and Programs in Biomedicine, 229: 107312, 2023.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Kfwc: a knowledge-drivendeeplearningmodelforfine-grainedclassification of wet-amd.Computer Methods and Programs in Biomedicine, 229: 107312, 2023

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.507739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b0fe59e5-e276-4010-b225-c9dbce9a8350 · outbound

This paper cites Classifying neovascular age-related macular degeneration with a deep convolutional neural network based on optical coherence tomography images.ScientificReports, 12(1):2232, 2022.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Classifying neovascular age-related macular degeneration with a deep convolutional neural network based on optical coherence tomography images.ScientificReports, 12(1):2232, 2022

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.496705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3508a185-fe4a-4f85-904f-4c6721433cbc · outbound

This paper cites Aninterpretabletransformernetworkfortheretinaldisease classificationusingopticalcoherencetomography.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Aninterpretabletransformernetworkfortheretinaldisease classificationusingopticalcoherencetomography

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.484170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 069d335d-482a-456e-83eb-5873a2347edb · outbound

This paper cites Deep residual learning for image recognition.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Deep residual learning for image recognition

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:25:16.666678Z

Source-reported events for the cited work

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Observation a4e64184-62cf-40f6-a23d-d6fdeca34cf3 · outbound

This paper cites Automated retinal disease classification using hybrid transformer model (svit) using optical coherence tomography images.NeuralComputingandApplications, pages 1–18, 2024.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Automated retinal disease classification using hybrid transformer model (svit) using optical coherence tomography images.NeuralComputingandApplications, pages 1–18, 2024

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.465783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 29cf6894-9782-4ac3-b5a9-12eae627278d · outbound

This paper cites Automatic classification of retinal optical coherence tomography images with layer guided convolutional neural network.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Automatic classification of retinal optical coherence tomography images with layer guided convolutional neural network

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.455882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f10aae53-885d-4124-8e14-3273b4d94e1c · outbound

This paper cites Optical coherence tomography to detect and manage retinal disease and glaucoma.American journal ofophthalmology, 137(1):156–169, 2004.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Optical coherence tomography to detect and manage retinal disease and glaucoma.American journal ofophthalmology, 137(1):156–169, 2004

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.445833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a20685c8-dc73-4892-8fcb-312ba02a86b7 · outbound

This paper cites Subretinalfluidin macular edemasecondary to branchretinal vein occlusion.Scientific Reports, 14(1):13623, 2024.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Subretinalfluidin macular edemasecondary to branchretinal vein occlusion.Scientific Reports, 14(1):13623, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.436204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6f229d0a-0d1e-44e1-b457-522de8a0ecf1 · outbound

This paper cites Explainability of Vision Transformers: A Comprehensive Review and New Perspectives.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Explainability of Vision Transformers: A Comprehensive Review and New Perspectives

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:25:17.127346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55ff1e56-fbf3-4324-a9ad-37e06a7fbe10 · outbound

This paper cites Identifying medical diagnoses and treatable diseases by image-based deep learning.cell, 172(5): 1122–1131, 2018.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Identifying medical diagnoses and treatable diseases by image-based deep learning.cell, 172(5): 1122–1131, 2018

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.426747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ff10f2fc-4634-470e-ad74-83a376882201 · outbound

This paper cites Boost diagnostic performance in retinal disease classification utilizing deep ensemble classifiers based on oct.Multimedia Tools and Applications, pages 1–21, 2024.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Boost diagnostic performance in retinal disease classification utilizing deep ensemble classifiers based on oct.Multimedia Tools and Applications, pages 1–21, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.415834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 73a040d4-109b-422a-ba68-cbac7007759b · outbound

This paper cites To- wards evaluating explanations of vision transformers for medical imaging.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis To- wards evaluating explanations of vision transformers for medical imaging

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.404237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2ea51e09-beb4-4d96-8741-7c28f03ecbb2 · outbound

This paper cites Octdl: Optical coherence tomography dataset for image-based deep learning methods.Scientific Data, 11(1):365, 2024.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Octdl: Optical coherence tomography dataset for image-based deep learning methods.Scientific Data, 11(1):365, 2024

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.393787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dfd1cf02-b57f-43cc-882f-7c2e9c3b79b7 · outbound

This paper cites Un- masking clever hans predictors and assessing what machines really learn.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Un- masking clever hans predictors and assessing what machines really learn

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.382083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 57a854ab-5aaf-49db-8618-5205a7d62969 · outbound

This paper cites Future-ai: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Future-ai: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.372061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5503a998-7739-49a6-ba34-d48b097d920b · outbound

This paper cites an unresolved cited work.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:25:21.361129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a1590433-41fd-404c-a323-fbe2528894bf · outbound

This paper cites Focal Loss for Dense Object Detection.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Focal Loss for Dense Object Detection

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T04:25:17.939056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bce481ee-1704-429a-bcb8-b12220d9dbe0 · outbound

This paper cites Swintransformer:Hierarchicalvision transformerusingshiftedwindows.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Swintransformer:Hierarchicalvision transformerusingshiftedwindows

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T04:25:18.058079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a9ec4dc-e0ac-4547-b2c4-1d58a40a6192 · outbound

This paper cites Decoupled Weight Decay Regularization.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Decoupled Weight Decay Regularization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T04:25:18.206101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ade20b5-27bc-4630-9568-f41ec00835bc · outbound

This paper cites Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomalies.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomalies

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T04:25:18.327265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f3a85a6-7440-4ec3-b0bc-fbf82aedc1e3 · outbound

This paper cites Using protopnet for interpretable alzheimer’s disease classification.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Using protopnet for interpretable alzheimer’s disease classification

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.341616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 231debea-5f6c-45e2-8388-d42118643425 · outbound

This paper cites Deep multimodal fusion of data with heterogeneous dimensionality via projective networks.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Deep multimodal fusion of data with heterogeneous dimensionality via projective networks

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.328724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d49c6eb3-c10d-49f2-b7f8-86aa7b1ba835 · outbound

This paper cites Trivialaugment: Tuning-free yet state-of-the-art data augmentation.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Trivialaugment: Tuning-free yet state-of-the-art data augmentation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.318279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a2ca710d-e935-4fa8-8359-8aaa986a4f25 · outbound

This paper cites Neural pro- totype trees for interpretable fine-grained image recognition.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Neural pro- totype trees for interpretable fine-grained image recognition

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.309533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 224d2f80-17cc-4b4e-929c-3f886de2b0de · outbound

This paper cites Interpreting and correcting medical image classification with pip-net.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Interpreting and correcting medical image classification with pip-net

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.300333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0d467812-c3e6-461a-b8d0-09c6adafb84c · outbound

This paper cites Pip-net: Patch-based intuitive prototypes for interpretable imageclassification.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Pip-net: Patch-based intuitive prototypes for interpretable imageclassification

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.288310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 151fdd73-13a6-4fa5-b5f6-230af04b6b6d · outbound

This paper cites an unresolved cited work.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:25:21.276709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 187bea50-37d7-4b64-b740-2e329d1a60a7 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis DINOv2: Learning Robust Visual Features without Supervision

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T04:25:19.415773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76a2fb45-ecd5-4ce5-93f6-73c98db8c9d3 · outbound

This paper cites an unresolved cited work.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:25:21.266137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 45f5633e-37d4-4e2e-bfdf-3fb554f15793 · outbound

This paper cites Stop explaining black box machine learning models forhighstakesdecisionsanduseinterpretablemodelsinstead.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Stop explaining black box machine learning models forhighstakesdecisionsanduseinterpretablemodelsinstead

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.254969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b768aa55-3194-4fec-a841-7bfac4cfb0e4 · outbound

This paper cites Imagenet large scale visual recognition challenge.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Imagenet large scale visual recognition challenge

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.244577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 42ff4fb0-cdea-4c25-b5ba-2e174e6650d2 · outbound

This paper cites ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T04:25:20.092123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcce8337-456e-472b-a5b6-3f2544399edf · outbound

This paper cites Protomil: Multiple instance learning with prototypical parts for whole-slide image clas- sification.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Protomil: Multiple instance learning with prototypical parts for whole-slide image clas- sification

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.233956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c140a610-1815-44c3-95b1-bc3eaba1c28b · outbound

This paper cites Spreading vectors for similarity search.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Spreading vectors for similarity search

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T04:25:20.336419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49f5bb66-78c5-463a-990f-8b26cda75fe4 · outbound

This paper cites Transparency of deep neural networks for medical image analysis: A review of interpretability methods.Computers in biologyandmedicine, 140:105111, 2022.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Transparency of deep neural networks for medical image analysis: A review of interpretability methods.Computers in biologyandmedicine, 140:105111, 2022

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.222441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation af0c8bc9-37ce-47c0-809c-fb4bfd28889a · outbound

This paper cites Towards explainable artificial intelligence.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Towards explainable artificial intelligence

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.210576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f77fb179-72de-472e-b347-a0c0976bc85f · outbound

This paper cites Exploitingepistemicuncertaintyofanatomy segmentation for anomaly detection in retinal oct.IEEE transactions onmedical imaging, 39(1):87–98, 2019.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Exploitingepistemicuncertaintyofanatomy segmentation for anomaly detection in retinal oct.IEEE transactions onmedical imaging, 39(1):87–98, 2019

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.199578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3b6ebe6f-df04-4b59-b0d6-d727df033a8e · outbound

This paper cites Grad-cam: visual explanations from deep networks via gradient-based localization.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Grad-cam: visual explanations from deep networks via gradient-based localization

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.188763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3883314c-cb72-469d-b29d-141c8f75d110 · outbound

This paper cites Improving interpretabilityinmachinediagnosis:detectionofgeographicatrophy in oct scans.Ophthalmology Science, 1(3):100038, 2021.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Improving interpretabilityinmachinediagnosis:detectionofgeographicatrophy in oct scans.Ophthalmology Science, 1(3):100038, 2021

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.177234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c0983358-7f7b-40a6-a123-e89b1badcc47 · outbound

This paper cites Think positive: An interpretable neural network for image recognition.NeuralNetworks, 151:178–189, 2022.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Think positive: An interpretable neural network for image recognition.NeuralNetworks, 151:178–189, 2022

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.166709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 35b6f81d-4614-4ce9-8ff0-0e4fb4ced4cc · outbound

This paper cites Aninterpretabledeeplearning model for covid-19 detection with chest x-ray images.Ieee Access, 9:85198–85208, 2021.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Aninterpretabledeeplearning model for covid-19 detection with chest x-ray images.Ieee Access, 9:85198–85208, 2021

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.157399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation abc00a4e-d05e-40ff-96be-4dea89f96f14 · outbound

This paper cites An interpretable and accurate deep-learning diagnosis framework modeled with fully and semi- supervised reciprocal learning.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis An interpretable and accurate deep-learning diagnosis framework modeled with fully and semi- supervised reciprocal learning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.147944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aba8da71-5419-4ae5-aaaf-aafac401ac77 · outbound

This paper cites Score-cam: Score- weighted visual explanations for convolutional neural networks.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Score-cam: Score- weighted visual explanations for convolutional neural networks

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.136648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 23f74fca-c1d4-4bc2-85c5-78fb174dcdb1 · outbound

This paper cites Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T04:25:20.861772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fbdef7d-34ec-478d-a950-39e7769a8926 · outbound

This paper cites Pytorch image models.https://github.com/ rwightman/pytorch-image-models, 2019.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Pytorch image models.https://github.com/ rwightman/pytorch-image-models, 2019

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.125751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7f8520f2-71c7-47ae-a013-ea7908823399 · outbound

This paper cites an unresolved cited work.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:25:21.115509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1909bcc8-167c-4dfe-8188-d1193efa11d3 · outbound

This paper cites Protopformer: Concentrating on prototypical parts in vision transformers for interpretable image recognition.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Protopformer: Concentrating on prototypical parts in vision transformers for interpretable image recognition

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T04:25:20.871806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc46ce34-2136-4833-84a4-8d0dc9c25d0a · outbound

This paper cites Survey on explainable ai: From approaches, limitations and applications aspects.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Survey on explainable ai: From approaches, limitations and applications aspects

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.105623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d798faf6-0302-4530-8fc7-cb47c81f65aa · outbound

This paper cites xx”, non-prototypical models with “–.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis xx”, non-prototypical models with “–

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:25:21.094462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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