repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · yesterday
mlmed/torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 54%TRCGL-Net: A Long-Tailed Multi-Label Chest X-Ray Classification Framework with Generative Data Augmentation and Label Co-Occurrence Modeling →
- PossiblePossibly related (embedding) · 51%RadiomicNet: A Hybrid Radiomics-Guided Lightweight Architecture for Interpretable Medical Image Segmentation →
- PossiblePossibly related (embedding) · 50%A Dual-domain Refinement Network with FBP-based Jacobian Learning for Sparse-view Dual-Energy CT Material Decomposition →
- PossiblePossibly related (embedding) · 49%Foundation Models vs. Radiomics for Lung Computed Tomography: A Benchmark of Feature Extractors, Classification Heads, and Segmentation Choices →
- PossiblePossibly related (embedding) · 47%CORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMs →
- PossiblePossibly related (embedding) · 45%XRFormer: Multiscale Tokenization for XRF Representation Learning →
- PossiblePossibly related (embedding) · 49%MAC-XA: Multi-view Anatomy-Correspondence Fusion for Coronary Stenosis Reporting from X-ray Angiography →
- PossiblePossibly related (embedding) · 45%TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring →
Implements
paperTRCGL-Net: A Long-Tailed Multi-Label Chest X-Ray Classification Framework with Generative Data Augmentation and Label Co-Occurrence ModelingpaperRadiomicNet: A Hybrid Radiomics-Guided Lightweight Architecture for Interpretable Medical Image SegmentationpaperA Dual-domain Refinement Network with FBP-based Jacobian Learning for Sparse-view Dual-Energy CT Material DecompositionpaperFoundation Models vs. Radiomics for Lung Computed Tomography: A Benchmark of Feature Extractors, Classification Heads, and Segmentation ChoicespaperCORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMs
Implements (incoming)
paperXRFormer: Multiscale Tokenization for XRF Representation LearningpaperMAC-XA: Multi-view Anatomy-Correspondence Fusion for Coronary Stenosis Reporting from X-ray AngiographypaperTMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity ScoringpaperUnsupervised Domain Adaptation for Calcification Classification in Mammography Across Multi-Site Datasets
Covers (incoming)
Related across the graph
paperA Dual-domain Refinement Network with FBP-based Jacobian Learning for Sparse-view Dual-Energy CT Material DecompositionnewsReal-time dental image verification with Amazon SageMaker AI at Henry Schein OnepaperXRFormer: Multiscale Tokenization for XRF Representation LearningpaperUnsupervised Domain Adaptation for Calcification Classification in Mammography Across Multi-Site DatasetspaperTMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity ScoringpaperRadiomicNet: A Hybrid Radiomics-Guided Lightweight Architecture for Interpretable Medical Image SegmentationpaperMAC-XA: Multi-view Anatomy-Correspondence Fusion for Coronary Stenosis Reporting from X-ray AngiographypaperTRCGL-Net: A Long-Tailed Multi-Label Chest X-Ray Classification Framework with Generative Data Augmentation and Label Co-Occurrence ModelingpaperCORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMspaperFoundation Models vs. Radiomics for Lung Computed Tomography: A Benchmark of Feature Extractors, Classification Heads, and Segmentation Choices