Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models | Paper Citation Record

Observation 74d47ca5-2c91-4fd7-9135-13ebe0635bce · outbound

This paper cites METEOR: An auto- matic metric for MT evaluation with improved correlation with human judgments.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models METEOR: An auto- matic metric for MT evaluation with improved correlation with human judgments

Reference 1

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Observation 2b2a52be-90a6-47cc-981b-714cc74ff394 · outbound

This paper cites Saliency-driven ex- plainable deep learning in medical imaging: Bridging visual explainability and statistical quantitative analysis.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Saliency-driven ex- plainable deep learning in medical imaging: Bridging visual explainability and statistical quantitative analysis

Reference 2

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Observation 51275b1c-441c-42fe-858a-14b0949f2acf · outbound

This paper cites Swin-unet: Unet-like pure transformer for medical image segmentation,.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Swin-unet: Unet-like pure transformer for medical image segmentation,

Reference 3

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Observation 91f781fa-0d2e-4c96-a0f2-1faa47920e78 · outbound

This paper cites Yuille, and Yuyin Zhou.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Yuille, and Yuyin Zhou

Reference 4

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Observation 7bd4b319-66be-4d07-bda1-d3f45ae4f9ca · outbound

This paper cites Pretraining vision-language model for difference visual question answering in longitudinal chest x-rays, 2024.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Pretraining vision-language model for difference visual question answering in longitudinal chest x-rays, 2024

Reference 5

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Observation bc9f6c91-c73d-42d2-ba16-e37b245fb42e · outbound

This paper cites Co-saliency detection with co-attention fully convo- lutional network, 2020.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Co-saliency detection with co-attention fully convo- lutional network, 2020

Reference 6

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Observation d181d43a-b611-4f7b-9ebc-9baad5b07ae4 · outbound

This paper cites Goldberger, Luis A.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Goldberger, Luis A

Reference 7

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Observation c86a62c0-8ce1-4c15-8aae-0d70fe088e7c · outbound

This paper cites Unetr: Transformers for 3d medical image segmentation, 2021.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Unetr: Transformers for 3d medical image segmentation, 2021

Reference 8

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Observation e3fe7c9d-c58e-420d-8700-a1da7bf06f7b · outbound

This paper cites Medical-Diff-VQA: A Large- Scale Medical Dataset for Difference Visual Question An- swering on Chest X-Ray Images.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Medical-Diff-VQA: A Large- Scale Medical Dataset for Difference Visual Question An- swering on Chest X-Ray Images

Reference 9

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Observation 6c9d75ea-3233-47f6-98c4-78a0b99edb59 · outbound

This paper cites Summers, and Yingying Zhu.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Summers, and Yingying Zhu

Reference 10

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Observation 11dc461c-1060-4c72-9d04-ef181bcdabea · outbound

This paper cites Lungren, and Serena Yeung.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Lungren, and Serena Yeung

Reference 11

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Observation 934357a1-b883-4a80-93ac-f370c87c1121 · outbound

This paper cites Elsabawy, Alaa Ebraheem Elnakeeb, and Nora Elrashidy.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Elsabawy, Alaa Ebraheem Elnakeeb, and Nora Elrashidy

Reference 12

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Observation 27c63b98-c214-46b1-b89a-2cdd05acd10f · outbound

This paper cites Jaeger, Simon A.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Jaeger, Simon A

Reference 13

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Observation fde7716b-f967-4b1b-a077-940cebdcc29b · outbound

This paper cites Spatial transformer networks, 2016.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Spatial transformer networks, 2016

Reference 14

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Observation 0523bd36-fb98-4235-93fd-531a21b51864 · outbound

This paper cites One map does not fit all: Evaluating saliency map explanation on multi-modal medical images, 2021.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models One map does not fit all: Evaluating saliency map explanation on multi-modal medical images, 2021

Reference 15

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Observation d5a853e3-44ae-4802-9425-e56c169b3966 · outbound

This paper cites an unresolved cited work.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Unresolved cited work

Reference 16

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Observation b4688c77-7f5f-4380-874a-6b81748c4380 · outbound

This paper cites an unresolved cited work.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Unresolved cited work

Reference 17

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Observation 8220432c-8e88-4bc3-a533-d3fdacf5f3a5 · outbound

This paper cites Schroeder, and Tolga Tasdizen.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Schroeder, and Tolga Tasdizen

Reference 18

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Observation 1f53a779-0798-4d8b-85d4-034fdb709b7a · outbound

This paper cites Llava-med: Training a large language- and-vision assistant for biomedicine in one day, 2023.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Llava-med: Training a large language- and-vision assistant for biomedicine in one day, 2023

Reference 19

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Observation c2ee01bd-0e98-4943-b73a-93bc9cdf388b · outbound

This paper cites Meddinov3: How to adapt vision foundation models for medical image segmentation?, 2025.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Meddinov3: How to adapt vision foundation models for medical image segmentation?, 2025

Reference 20

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Observation b6c84719-01e2-456f-9302-b544575a68be · outbound

This paper cites ROUGE: A package for automatic evaluation of summaries.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models ROUGE: A package for automatic evaluation of summaries

Reference 21

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Observation 97f9b9d2-3043-4489-a972-1ad9f0f42121 · outbound

This paper cites Medical visual question answering: A survey.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Medical visual question answering: A survey

Reference 22

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Observation 1869c21f-ae86-4b43-b53c-d7fa1b948aee · outbound

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

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-02T11:36:55.007448Z

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Observation e04beac6-0512-4291-82ff-5d90dc46169a · outbound

This paper cites Thakoor, Padraig Corcoran, Ying Chen, and Hantao Liu.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Thakoor, Padraig Corcoran, Ying Chen, and Hantao Liu

Reference 24

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Observation 39f84702-46da-4619-a97c-15148d71ed61 · outbound

This paper cites Spot the Difference: Difference Visual Ques- tion Answering with Residual Alignment.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Spot the Difference: Difference Visual Ques- tion Answering with Residual Alignment

Reference 25

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Observation 054d7f9f-76c4-4fc1-9a2b-c4b963f59e03 · outbound

This paper cites Segment anything in medical images.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Segment anything in medical images

Reference 26

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Observation 95b9bcda-96df-4f2f-b010-ca3fd161dde5 · outbound

This paper cites Unveiling differences: A vision encoder-decoder model for difference medical visual question answering.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Unveiling differences: A vision encoder-decoder model for difference medical visual question answering

Reference 27

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Observation 264c93f3-360f-451d-8c74-1d24535bbdec · outbound

This paper cites Lon- gitudinal change detection on chest x-rays using geometric correlation maps.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Lon- gitudinal change detection on chest x-rays using geometric correlation maps

Reference 28

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Observation 88a22f4e-59b4-4205-81ff-69b79861cfe1 · outbound

This paper cites Dinov2: Learning robust visual features with- out supervision, 2024.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Dinov2: Learning robust visual features with- out supervision, 2024

Reference 29

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Observation 84981248-b1dc-4cbd-86d2-b784145ffa63 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Bleu: a method for automatic evaluation of machine translation

Reference 30

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Observation 18544029-ce04-4f5c-baff-4e53f8dff19c · outbound

This paper cites Castro, Anton Schwaighofer, Matthew P.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Castro, Anton Schwaighofer, Matthew P

Reference 31

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Observation 591b912d-04b2-4651-a75c-3a7b14d4efc5 · outbound

This paper cites Language models are unsuper- vised multitask learners.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Language models are unsuper- vised multitask learners

Reference 32

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Observation 02876894-caf1-4aea-8e3b-f09242f8ff4e · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models SAM 2: Segment Anything in Images and Videos

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-07-02T11:36:55.005058Z

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Observation e278d090-5dee-4d61-a74c-3a428e676e0a · outbound

This paper cites Imagenet-21k pretraining for the masses.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Imagenet-21k pretraining for the masses

Reference 34

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Observation bdcb7e87-9a8c-4d19-b475-71c4813e17fe · outbound

This paper cites an unresolved cited work.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Unresolved cited work

Reference 35

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Observation 8728e0ed-05eb-4e73-a973-b16ac678f260 · outbound

This paper cites Peeken, Daniel Rueckert, and Benedikt Wiestler.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Peeken, Daniel Rueckert, and Benedikt Wiestler

Reference 36

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Observation 622e632b-0da0-4e91-b66a-39d2d35b899f · outbound

This paper cites Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Ba- tra.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Ba- tra

Reference 37

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Observation 077699b7-b671-4dd8-b622-4844c7919fd8 · outbound

This paper cites an unresolved cited work.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Unresolved cited work

Reference 38

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Observation bf188445-87e5-498d-8228-447902e4cfc3 · outbound

This paper cites General pur- pose image encoder dinov2 for medical image registration,.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models General pur- pose image encoder dinov2 for medical image registration,

Reference 39

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Observation 3c421942-e1cc-413e-a010-d6004bea366f · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 40

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Observation 5860de1d-01fc-4911-9a7a-1468c976362f · outbound

This paper cites Lawrence Zitnick, and Devi Parikh.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Lawrence Zitnick, and Devi Parikh

Reference 41

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Observation ba046c6d-d957-4f3e-b218-e80c04d7e89e · outbound

This paper cites Co-attention aligned mutual cross-attention for cloth- changing person re-identification.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Co-attention aligned mutual cross-attention for cloth- changing person re-identification

Reference 42

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Observation f1749510-a4bd-4b68-921c-979ad0171957 · outbound

This paper cites Transformers: State-of-the-art natural language processing.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Transformers: State-of-the-art natural language processing

Reference 43

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Observation 84550c3e-a025-426c-b595-d866e21a55a7 · outbound

This paper cites Sabel, and Tobias Lasser.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Sabel, and Tobias Lasser

Reference 44

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Observation e985809a-19be-4a5d-83e4-2e69caacb30d · outbound

This paper cites Segdino: An efficient design for medical and natural image segmentation with dino-v3, 2025.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Segdino: An efficient design for medical and natural image segmentation with dino-v3, 2025

Reference 45

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Observation ed7e4634-fac8-4f3c-a633-5b7e58a22d88 · outbound

This paper cites Exploring visual relationship for image captioning, 2018.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Exploring visual relationship for image captioning, 2018

Reference 46

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Observation 2bb3aff1-5a06-4a3d-a5e6-03b2ec3248a5 · outbound

This paper cites Describing and localizing multiple changes with transformers, 2021.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Describing and localizing multiple changes with transformers, 2021

Reference 47

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Observation 6562b13e-0276-43d4-9b18-bc9c44f5c405 · outbound

This paper cites Mazomenos.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Mazomenos

Reference 48

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Observation 0e20a436-75d9-4705-a7d7-47152ef41d91 · outbound

This paper cites Lungren, Akshay Chaudhari, Ser- ena Yeung-Levy, Curtis P.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Lungren, Akshay Chaudhari, Ser- ena Yeung-Levy, Curtis P

Reference 49

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Observation 415f5052-df69-4804-a1fe-c2197f10a732 · outbound

This paper cites PMC-VQA: Vi- sual instruction tuning for medical visual question answer- ing, 2024.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models PMC-VQA: Vi- sual instruction tuning for medical visual question answer- ing, 2024

Reference 50

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Observation 90c129eb-c1cd-4b8c-bdb8-b777f38ed186 · outbound

This paper cites Medical sam 2: Segment medical images as video via segment anything model 2, 2024.

Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models Medical sam 2: Segment medical images as video via segment anything model 2, 2024

Reference 51

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