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Paper Citation Record · LEDGER

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification

As of 7 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2607.04478.

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pith.paper-citation-record.v1
2607.04478 v1

Coverage vector

measured 49 of 49 reference resolution

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measured 49 of 49 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

49 of 49 outbound references displayed

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Outbound references

Observation d3493c3b-3c0f-4c56-9970-3c1215c0c02f · outbound

This paper cites Global Burden of Dis- ease Study 2021 estimates: implications for health policy and research,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Global Burden of Dis- ease Study 2021 estimates: implications for health policy and research,

Reference 1

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Observation f0dd2089-a031-475e-ad17-a2eddaa23786 · outbound

This paper cites ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

Reference 2

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Observation 5b990d84-575e-49f7-abd8-604cc10e5db5 · outbound

This paper cites Global Strategy on Human Resources for Health: Workforce 2030-A Five-Year Check-In,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Global Strategy on Human Resources for Health: Workforce 2030-A Five-Year Check-In,

Reference 3

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Observation b25753c2-2164-4025-85e3-3434f777336b · outbound

This paper cites Error and discrepancy in radiology: in- evitable or avoidable?,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Error and discrepancy in radiology: in- evitable or avoidable?,

Reference 4

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Observation f9c3a434-8e66-4608-9ac2-1e91eac33835 · outbound

This paper cites A survey on deep learning in medical image analysis,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification A survey on deep learning in medical image analysis,

Reference 5

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Observation 59c53a0d-f122-4c22-a871-a02dd06232e8 · outbound

This paper cites MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-textreports,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-textreports,

Reference 6

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Observation 16395259-5783-489e-bbd5-fb9b73052002 · outbound

This paper cites MSA-Net: multi-scale attention-based DenseNet for multi-label chest X-ray image classification,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification MSA-Net: multi-scale attention-based DenseNet for multi-label chest X-ray image classification,

Reference 7

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Observation 11f5fed9-9417-49a6-bfe0-40e922be9de5 · outbound

This paper cites Style-KD: Class- imbalanced medical image classification via style knowledge distillation,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Style-KD: Class- imbalanced medical image classification via style knowledge distillation,

Reference 8

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Observation 5c9684d8-e203-44e0-8e14-431728d6ee74 · outbound

This paper cites CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison,

Reference 9

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Observation a3f92f8f-6047-4139-9a2b-ba64126ac029 · outbound

This paper cites CheXNet: Radiologist-Level Pneumonia Detection on Chest X- Rays with Deep Learning,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification CheXNet: Radiologist-Level Pneumonia Detection on Chest X- Rays with Deep Learning,

Reference 10

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Observation 67c92960-b981-4fc5-b4bc-82ab8dd6d2f3 · outbound

This paper cites Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classifica- tion,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classifica- tion,

Reference 11

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Observation 6d1afa10-7eeb-4c3b-98a1-6e3e06942cff · outbound

This paper cites Learning to diagnose from scratch by exploiting dependencies among la- bels,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Learning to diagnose from scratch by exploiting dependencies among la- bels,

Reference 12

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Observation 20a47c7d-87b6-4760-a1d0-04166513b07d · outbound

This paper cites TResNet: High Per- formance GPU-Dedicated Architecture,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification TResNet: High Per- formance GPU-Dedicated Architecture,

Reference 13

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Observation 8664f5c5-238d-40e0-b285-df05f155304a · outbound

This paper cites Multi-label chest X-ray image classification via category-wise residual atten- tion learning,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Multi-label chest X-ray image classification via category-wise residual atten- tion learning,

Reference 14

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Observation f8a0a9e9-5010-4e0d-9b4b-099f8ac3fe7b · outbound

This paper cites CBAM: Convolutional Block Attention Module,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification CBAM: Convolutional Block Attention Module,

Reference 15

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Observation 49b94cdf-3417-49ac-84bb-81cc98c67a88 · outbound

This paper cites HydraViT: Adaptive multi-branch transformer for multi-label disease classification from Chest X-ray images,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification HydraViT: Adaptive multi-branch transformer for multi-label disease classification from Chest X-ray images,

Reference 16

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Observation 23209a56-fd90-4125-9e11-4b9402b2b91b · outbound

This paper cites Beyond Conventional Transformers: The Medical X-ray Attention (MXA) Block for Improved Multi-Label Diagnosis Using Knowledge Distillation.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Beyond Conventional Transformers: The Medical X-ray Attention (MXA) Block for Improved Multi-Label Diagnosis Using Knowledge Distillation

Reference 17

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Observation e3a3176f-e8cb-44aa-ac0e-e8c4e6110ab1 · outbound

This paper cites Anoptimizedtransformermodel for efficient detection of thoracic diseases in chest X-rays with multi-scale feature fusion,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Anoptimizedtransformermodel for efficient detection of thoracic diseases in chest X-rays with multi-scale feature fusion,

Reference 18

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Observation 7869b73b-7706-4725-a42f-2d3c327a266b · outbound

This paper cites Multi- Label Disease Detection in Chest X-Ray Imaging Us- ing a Fine-Tuned ConvNeXtV2 with a Customized Classifier,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Multi- Label Disease Detection in Chest X-Ray Imaging Us- ing a Fine-Tuned ConvNeXtV2 with a Customized Classifier,

Reference 19

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Observation 4783101d-26ff-417b-8fde-60689d462302 · outbound

This paper cites Asymmetric Loss For Multi-Label Classification,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Asymmetric Loss For Multi-Label Classification,

Reference 20

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Observation 1b4ebc39-f985-4d47-ae49-d49f40ea44c4 · outbound

This paper cites CvTGNet: A Novel Framework for Chest X- Ray Multi-label Classification,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification CvTGNet: A Novel Framework for Chest X- Ray Multi-label Classification,

Reference 21

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Observation 2df6a647-ce83-49cd-91bd-93d3b8006d1a · outbound

This paper cites Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function

Reference 22

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Observation e39f1c27-e50b-41a2-b2df-ca93cf07374f · outbound

This paper cites Enhancing Multi-Label Chest X-Ray Clas- sification Using an Improved Ranking Loss,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Enhancing Multi-Label Chest X-Ray Clas- sification Using an Improved Ranking Loss,

Reference 23

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Observation 4b9dde21-89a4-43fe-bec0-e6982a753f32 · outbound

This paper cites Aleatoric uncertainty estima- tion with test-time augmentation for medical image segmentation with convolutional neural networks,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Aleatoric uncertainty estima- tion with test-time augmentation for medical image segmentation with convolutional neural networks,

Reference 24

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Observation daed0ff6-ea40-4c81-8c29-6f9cd692fa07 · outbound

This paper cites Label Co-Occurrence Learning With Graph Convolutional Networks for Multi-Label Chest X-Ray Image Clas- sification,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Label Co-Occurrence Learning With Graph Convolutional Networks for Multi-Label Chest X-Ray Image Clas- sification,

Reference 25

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Observation 5a7f43d2-a637-4ba7-91a7-6e696b203aa9 · outbound

This paper cites Multi-Label Chest X-Ray Image Classification via Semantic Similarity Graph Embedding,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Multi-Label Chest X-Ray Image Classification via Semantic Similarity Graph Embedding,

Reference 26

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Observation 1ec70caa-bed4-4b51-8e52-ce98b5c9befb · outbound

This paper cites Multi-label chest X-ray image classification based on graph convolutional networks and multi-modal fusion,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Multi-label chest X-ray image classification based on graph convolutional networks and multi-modal fusion,

Reference 27

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Observation b49ba08f-00a6-4ec0-b731-dd06e6a0a461 · outbound

This paper cites BB-GCN: A Bi-modal Bridged Graph Convolu- tional Network for Multi-label Chest X-Ray Recog- nition,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification BB-GCN: A Bi-modal Bridged Graph Convolu- tional Network for Multi-label Chest X-Ray Recog- nition,

Reference 28

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Observation f0b1dcb5-1cb7-41aa-8967-3afcd96370a6 · outbound

This paper cites Distilling Label Co-Occurrence For Chest X-Ray Image Classification,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Distilling Label Co-Occurrence For Chest X-Ray Image Classification,

Reference 29

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Observation 083c83a5-bab6-42dc-9d8b-c27c64d108f5 · outbound

This paper cites Multi-Label Chest X-Ray Image Classification With Single Positive Labels,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Multi-Label Chest X-Ray Image Classification With Single Positive Labels,

Reference 30

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Observation 9007f36b-30c2-4c28-8290-404202907b96 · outbound

This paper cites Multi-Label General- ized Zero Shot Chest X-Ray Classification by Com- bining Image-Text Information With Feature Disen- tanglement,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Multi-Label General- ized Zero Shot Chest X-Ray Classification by Com- bining Image-Text Information With Feature Disen- tanglement,

Reference 31

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Observation c5a8cc22-f99f-4803-8fde-674f68a27579 · outbound

This paper cites Multilabel Chest X-Ray Image Classifica- tion via Category Disentangled Causal Learning,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Multilabel Chest X-Ray Image Classifica- tion via Category Disentangled Causal Learning,

Reference 32

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Observation 228228a4-fbe0-456c-8eb8-aa38530167b4 · outbound

This paper cites Grand x-ray slam: Divi- sion b.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Grand x-ray slam: Divi- sion b

Reference 33

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Observation 62406e3d-31d0-4f41-87ac-bf679dcfdb34 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification mixup: Beyond Empirical Risk Minimization

Reference 34

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Observation 67db2410-207a-484b-8118-e805fbcf040e · outbound

This paper cites CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features,

Reference 35

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Observation 4fd2a0b7-fa82-46eb-8dad-23bed8320ca5 · outbound

This paper cites Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 36

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Observation 91ae791c-030e-4479-8c6b-2718aaa94edf · outbound

This paper cites Grad-CAM++: General- ized Gradient-Based Visual Explanations for Deep Convolutional Networks,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Grad-CAM++: General- ized Gradient-Based Visual Explanations for Deep Convolutional Networks,

Reference 37

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Observation 2c502e53-f059-45ab-afa0-fce02fa57173 · outbound

This paper cites Striving for Simplicity: The All Convolutional Net.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Striving for Simplicity: The All Convolutional Net

Reference 38

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Observation 578516aa-faba-446d-859c-c91b40cddb6b · outbound

This paper cites Axiomatic Attribution for Deep Networks,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Axiomatic Attribution for Deep Networks,

Reference 39

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Observation c5a10ea2-297c-4b56-b21e-2a52607f3b3e · outbound

This paper cites "Why Should I Trust You?.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification "Why Should I Trust You?

Reference 40

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Observation 84010b0b-e5bd-4db2-bc84-46b12650f06d · outbound

This paper cites Visualizing and Under- standing Convolutional Networks,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Visualizing and Under- standing Convolutional Networks,

Reference 41

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Observation e66c81b6-3ef3-44c5-b37a-73f87684607d · outbound

This paper cites A Unified Approach to Interpreting Model Predictions,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification A Unified Approach to Interpreting Model Predictions,

Reference 42

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Observation 80e1cef0-aa4b-431c-a05d-6b214ffaab88 · outbound

This paper cites Measuring Domain Shift for Deep Learning in Histopathology,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Measuring Domain Shift for Deep Learning in Histopathology,

Reference 43

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Observation 9de58c6d-897b-40e2-a516-66236beb3cdd · outbound

This paper cites PadChest: A large chest x-ray image dataset with multi-label annotated reports,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification PadChest: A large chest x-ray image dataset with multi-label annotated reports,

Reference 44

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Observation 242ecec4-f3f4-43f6-b88c-1876790eb15c · outbound

This paper cites RoentGen: Vision-Language Foun- dation Model for Chest X-ray Generation,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification RoentGen: Vision-Language Foun- dation Model for Chest X-ray Generation,

Reference 45

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Observation a4ff1bd0-a259-4ec0-8173-3b9b491dd337 · outbound

This paper cites Big Self-Supervised Models Advance Medical Image Classification,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Big Self-Supervised Models Advance Medical Image Classification,

Reference 46

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Observation 4017c37b-25e6-49d7-8986-c799081bf70b · outbound

This paper cites Deep Compres- sion: CompressingDeepNeuralNetworkswithPrun- ing, Trained Quantization and Huffman Coding,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Deep Compres- sion: CompressingDeepNeuralNetworkswithPrun- ing, Trained Quantization and Huffman Coding,

Reference 47

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Observation 21be0867-1124-4f6f-9951-267a9b06d17b · outbound

This paper cites Conformal Risk Control,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Conformal Risk Control,

Reference 48

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Observation 2b2db579-224f-4423-8282-94c8f45ba572 · outbound

This paper cites Underdiagno- sis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient popula- tions,.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Underdiagno- sis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient popula- tions,

Reference 49

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