Paper Citation Record · LEDGER

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray

As of 12 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2506.07984.

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

pith.paper-citation-record.v1
2506.07984 v1

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Reference resolution

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Outbound references

Observation 3c8e7977-9141-46fe-8343-71a2eaa671ed · outbound

This paper cites Long-tailed classification of thorax diseases on chest x-ray: A new benchmark study.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Long-tailed classification of thorax diseases on chest x-ray: A new benchmark study

Reference 1

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Observation 3e952bb1-5d7f-4b00-aa5f-81349e266d5d · outbound

This paper cites Towards long-tailed, multi-label disease classification from chest x-ray: Overview of the cxr-lt challenge.Medical Image Analysis, page 103224, 2024.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Towards long-tailed, multi-label disease classification from chest x-ray: Overview of the cxr-lt challenge.Medical Image Analysis, page 103224, 2024

Reference 2

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Observation c51782a9-eb14-4a4c-9c71-05acc324e8c9 · outbound

This paper cites Evolution-aware V Ariance (EV A) coreset selection for medical image classification.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Evolution-aware V Ariance (EV A) coreset selection for medical image classification

Reference 3

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Observation 24f17d70-b2aa-4343-aa98-45ba5d9efe8b · outbound

This paper cites Denoising diffusion proba- bilistic models for addressing data limitations in chest X-ray classification.Inform.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Denoising diffusion proba- bilistic models for addressing data limitations in chest X-ray classification.Inform

Reference 4

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Observation ef4c2222-411b-4256-bd08-d001de188ba4 · outbound

This paper cites Fine-grained self-supervised learning with jigsaw puzzles for medical image classification.Comput.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Fine-grained self-supervised learning with jigsaw puzzles for medical image classification.Comput

Reference 5

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Observation c12f5f4f-8aad-4a9f-a108-c9fb7c368d24 · outbound

This paper cites Improving generalization and personalization in long-tailed federated learning via classifier retraining.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Improving generalization and personalization in long-tailed federated learning via classifier retraining

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:51.813547Z

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Observation cb072503-7d21-4e91-9504-73621e96178e · outbound

This paper cites Informatics in radiology: radiology gamuts ontology: differential diagnosis for the semantic web.Radiographics, 34(1):254–264, 2014.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Informatics in radiology: radiology gamuts ontology: differential diagnosis for the semantic web.Radiographics, 34(1):254–264, 2014

Reference 7

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Observation 94a5b8f7-43bd-47f7-bbae-98ec888c3306 · outbound

This paper cites Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases

Reference 8

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Observation 88a165d0-39b5-4539-81c4-f3b05f76ae53 · outbound

This paper cites Chexclusion: Fairness gaps in deep chest x-ray classifiers.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Chexclusion: Fairness gaps in deep chest x-ray classifiers

Reference 9

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Observation cd3f22f7-c66e-43ad-9bcf-34b6e9a122ed · outbound

This paper cites Springer, 2018.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Springer, 2018

Reference 10

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Observation 5bbc630a-ddec-4527-9d22-f32303562db8 · outbound

This paper cites The relationship between precision-recall and roc curves.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray The relationship between precision-recall and roc curves

Reference 11

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Observation 6f2f5976-b8db-4414-8058-e52a437ffe2c · outbound

This paper cites Long-tail zero and few-shot learning via contrastive pretrain- ing on and for small data.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Long-tail zero and few-shot learning via contrastive pretrain- ing on and for small data

Reference 12

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Observation cb964558-5498-4cd4-aef0-2e9a991a8cb0 · outbound

This paper cites Obtaining well calibrated prob- abilities using bayesian binning.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Obtaining well calibrated prob- abilities using bayesian binning

Reference 13

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Observation 0b85c5dc-0a34-477f-8b21-8c6b2d5ba8dd · outbound

This paper cites Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports.Scientific data, 6(1):317, 2019.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports.Scientific data, 6(1):317, 2019

Reference 14

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Observation 5fa18d05-1815-4fbb-9eba-ea60f70c511c · outbound

This paper cites Padchest: A large chest x-ray image dataset with multi-label annotated reports.Medical image analysis, 66:101797, 2020.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Padchest: A large chest x-ray image dataset with multi-label annotated reports.Medical image analysis, 66:101797, 2020

Reference 15

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Observation e8a000c9-1ce6-4023-802f-69c4e0c9cf35 · outbound

This paper cites Fleischner society: glossary of terms for thoracic imaging.Radiology, 246(3): 697–722, 2008.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Fleischner society: glossary of terms for thoracic imaging.Radiology, 246(3): 697–722, 2008

Reference 16

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Observation 5e3b62d9-2baf-4890-8fd2-9d1d583d82dc · outbound

This paper cites Radiology text analysis system (radtext): Architecture and evaluation.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Radiology text analysis system (radtext): Architecture and evaluation

Reference 17

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Observation 504d9e71-f272-4eb6-871e-57094a362beb · outbound

This paper cites MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 18

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Observation c0818792-0369-4b0c-a606-f09e17ed613a · outbound

This paper cites Codalab competitions: An open source platform to organize scientific challenges.Journal of Machine Learning Research, 24(198):1–6, 2023.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Codalab competitions: An open source platform to organize scientific challenges.Journal of Machine Learning Research, 24(198):1–6, 2023

Reference 19

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Observation 44e6e435-35ba-4fd2-86b7-bddb24fda37b · outbound

This paper cites A convnet for the 2020s.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray A convnet for the 2020s

Reference 20

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This paper cites Efficientnetv2: Smaller models and faster training.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Efficientnetv2: Smaller models and faster training

Reference 21

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This paper cites Domain-specific language model pretraining for biomedical natural language processing, 2020.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Domain-specific language model pretraining for biomedical natural language processing, 2020

Reference 22

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Observation 26109880-3fff-4d03-acd4-306fb2391bfb · outbound

This paper cites Unichest: Conquer-and-divide pre-training for multi-source chest x-ray classification.IEEE Transactions on Medical Imaging, 2024.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Unichest: Conquer-and-divide pre-training for multi-source chest x-ray classification.IEEE Transactions on Medical Imaging, 2024

Reference 23

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Observation 7dbbd15c-72f5-4fcc-923f-c70d0d0b1194 · outbound

This paper cites Chexfusion: Effective fusion of multi-view features using transformers for long-tailed chest x-ray classification.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Chexfusion: Effective fusion of multi-view features using transformers for long-tailed chest x-ray classification

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:51.659042Z

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Observation dab87365-9ffa-4253-97c6-87f5ba71cc4d · outbound

This paper cites Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison

Reference 25

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Observation e976f5cb-7eb5-4e32-b759-cb4d9196fa7c · outbound

This paper cites Vindr-cxr: An open dataset of chest x-rays with radiologist’s annotations.Scientific Data, 9(1):429, 2022.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Vindr-cxr: An open dataset of chest x-rays with radiologist’s annotations.Scientific Data, 9(1):429, 2022

Reference 26

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Observation 6ead3887-cda2-4147-8967-0e94bbe17bee · outbound

This paper cites Brax, brazilian labeled chest x-ray dataset.Scientific Data, 9(1):487, 2022.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Brax, brazilian labeled chest x-ray dataset.Scientific Data, 9(1):487, 2022

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Observation a8fc5658-fb5d-42c7-864a-77e1fa18b2c6 · outbound

This paper cites Cleft: Language-image contrastive learning with efficient large language model and prompt fine-tuning.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Cleft: Language-image contrastive learning with efficient large language model and prompt fine-tuning

Reference 28

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Observation 4a9d9552-b4b2-409f-97b6-107c59daa605 · outbound

This paper cites Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography

Reference 29

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This paper cites Asymmetric loss for multi-label classification.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Asymmetric loss for multi-label classification

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This paper cites BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

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This paper cites Ml-decoder: Scalable and versatile classification head.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Ml-decoder: Scalable and versatile classification head

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Observation f74c245d-d62f-4fbb-8b14-89308b2ec665 · outbound

This paper cites Self-training with noisy student im- proves imagenet classification.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Self-training with noisy student im- proves imagenet classification

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:51.590844Z

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

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray DINOv2: Learning Robust Visual Features without Supervision

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This paper cites Transformers for image recognition at scale.Online: https://ai.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Transformers for image recognition at scale.Online: https://ai

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This paper cites Maxvit: Multi-axis vision transformer.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Maxvit: Multi-axis vision transformer

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:51.569256Z

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Observation 239b6213-870e-45a6-85f9-c6b2294fe757 · outbound

This paper cites Making the most of text semantics to improve biomedical vision–language processing.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Making the most of text semantics to improve biomedical vision–language processing

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Observation 43fb936e-dae4-4c9a-8a00-3b1ba3a2942a · outbound

This paper cites GPT-4 Technical Report.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray GPT-4 Technical Report

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Observation febfd9f0-330a-42c2-b9f3-f43d81cfbb74 · outbound

This paper cites MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology

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Observation db1d42c9-1ad0-4ff6-b80c-c94f05845da2 · outbound

This paper cites Deep residual learning for image recog- nition.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Deep residual learning for image recog- nition

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Observation 107e9779-4578-49c1-a07f-97774d2dc874 · outbound

This paper cites Publicly Available Clinical BERT Embeddings.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Publicly Available Clinical BERT Embeddings

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Observation 7a4825d3-1e66-40d3-a024-93d598a9168b · outbound

This paper cites Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation

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CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Densely connected convolutional networks

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:51.540358Z

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Observation dd23bc15-eab6-4b02-a18e-6fe4b09a869d · outbound

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CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Sigmoid loss for language image pre-training

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Observation e7a92280-f4e6-4c0e-9459-6e598d0b480a · outbound

This paper cites UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning

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Resolution: unresolved; no resolver link, observed 2026-08-07T05:24:50.836086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50bac590-f508-4a54-8ede-e5c904c67059 · outbound

This paper cites Film: Visual reasoning with a general conditioning layer.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Film: Visual reasoning with a general conditioning layer

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:51.523513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1785aca6-faa8-4038-b2bd-f4fa63584187 · outbound

This paper cites Enhancing disease detection in radiology reports through fine-tuning lightweight LLM on weak labels.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Enhancing disease detection in radiology reports through fine-tuning lightweight LLM on weak labels

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:24:51.049644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4a1a32ac-291f-4576-a3a6-f2926d3c04e9 · outbound

This paper cites Transformers in vision: A survey.ACM computing surveys (CSUR), 54(10s):1–41, 2022.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Transformers in vision: A survey.ACM computing surveys (CSUR), 54(10s):1–41, 2022

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T05:24:50.847803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d86ec6f5-85e2-41ef-82a7-e65224e5000d · outbound

This paper cites Hybrid cnn-vit models for medical image classification.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Hybrid cnn-vit models for medical image classification

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:51.505842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 48ccb4c0-bdc6-40a5-aa2b-60bd04c31141 · outbound

This paper cites Ensemble deep learning: A review.Engineering Applications of Artificial Intelligence, 115:105151, 2022.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Ensemble deep learning: A review.Engineering Applications of Artificial Intelligence, 115:105151, 2022

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:51.494033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fde0c10e-f5de-4a42-8961-229a547211bb · outbound

This paper cites Deep Ensembles: A Loss Landscape Perspective.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Deep Ensembles: A Loss Landscape Perspective

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T05:24:50.952221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d61949a-4ffb-464c-a28e-2082c0a3c3a4 · outbound

This paper cites A comprehensive survey of image augmentation techniques for deep learning.Pattern Recognition, 137:109347, 2023.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray A comprehensive survey of image augmentation techniques for deep learning.Pattern Recognition, 137:109347, 2023

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:51.481993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 871845cd-72e3-4fe1-a6e8-e81b4fa9fd84 · outbound

This paper cites Deep hierarchical multi-label classification of chest x-ray images.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Deep hierarchical multi-label classification of chest x-ray images

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:51.471226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation be08904e-c9b7-46e5-bca0-8dd7eecc69f8 · outbound

This paper cites Clinical-bert: Vision-language pre-training for radiograph diagnosis and reports generation.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Clinical-bert: Vision-language pre-training for radiograph diagnosis and reports generation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:51.460152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7d9339ee-84c7-41cb-b8f0-78c438d5b8ba · outbound

This paper cites Vilmedic: a framework for research at the intersection of vision and language in medical ai.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Vilmedic: a framework for research at the intersection of vision and language in medical ai

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:51.449520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f1f8419d-e3d1-4375-8e31-64ee417eaade · outbound

This paper cites Multi-modal understanding and generation for medical images and text via vision-language pre-training.IEEE Journal of Biomedical and Health Informatics, 26(12):6070–6080, 2022.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Multi-modal understanding and generation for medical images and text via vision-language pre-training.IEEE Journal of Biomedical and Health Informatics, 26(12):6070–6080, 2022

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:51.439253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 23de70fd-ee3a-45ea-9855-d1ff64cb34e8 · outbound

This paper cites Llava-med: Training a large language-and-vision assistant for biomedicine in one day.Advances in Neural Information Processing Systems, 36, 2024.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Llava-med: Training a large language-and-vision assistant for biomedicine in one day.Advances in Neural Information Processing Systems, 36, 2024

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T05:24:50.976571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb59e8c4-52c9-40d1-a510-eba766b1fe69 · outbound

This paper cites Med-flamingo: a multimodal medical few-shot learner.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Med-flamingo: a multimodal medical few-shot learner

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T05:24:50.981011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd1c6cd0-1d24-4d10-b60b-f75e53b0e13e · outbound

This paper cites Improving model fairness in image-based computer-aided diagnosis.Nature Communications, 14(1):6261, 2023.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Improving model fairness in image-based computer-aided diagnosis.Nature Communications, 14(1):6261, 2023

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:51.411986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 219b2ec9-0944-4b90-b7d5-84ee32378968 · outbound

This paper cites Hurdles to artificial intelligence deployment: Noise in schemas and “gold” labels.Radiology: Artificial Intelligence, 5(2):e220056, 2023.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Hurdles to artificial intelligence deployment: Noise in schemas and “gold” labels.Radiology: Artificial Intelligence, 5(2):e220056, 2023

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:51.398907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 328be7b0-9c5c-4425-aaf7-520ace0d0ce0 · outbound

This paper cites Large-scale long-tailed disease diagnosis on radiology images.Nature Communications, 15(1):10147, 2024.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Large-scale long-tailed disease diagnosis on radiology images.Nature Communications, 15(1):10147, 2024

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:51.386417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8ef1864f-7d93-4c5b-82e1-df768e6dbe6e · outbound

This paper cites an unresolved cited work.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:24:51.374165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fab4b524-f516-468e-8af0-de899525f692 · outbound

This paper cites an unresolved cited work.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Unresolved cited work

Reference 4825

Resolution: unresolved; no resolver link, observed 2026-08-07T05:24:50.690807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b744ac68-e63c-4a05-9049-19576d1bd039 · inbound

CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification cites this paper.

CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:49:55.987610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.