repoGitHubTrust 82 · PrimaryPublished yesterdayLive · 5h ago
DIAGNijmegen/rse-grand-challenge
A platform for end-to-end development of machine learning solutions in biomedical imaging
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Implements
paperTRACE: A Concept Bottleneck Model for Longitudinal 3D Glioblastoma Response AssessmentpaperCORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMspaperAPRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern ParadigmspaperEchoSonar-R: A Multi-View Reasoning-Enabled Model for Disease Classification and Report Generation in Echocardiography
Implements (incoming)
paperPredicting Early Stages Of Alzheimer's Disease And Identifying Key Biomarkers Using Deep Artificial Neural Network And Ensemble Of Machine Learning MethodologiespaperRadiomicNet: A Hybrid Radiomics-Guided Lightweight Architecture for Interpretable Medical Image SegmentationpaperMedSaab-US: A Backpropagation-Free Multi-Scale Wavelet-Saab Framework for Thyroid Nodule Segmentation in Ultrasound Images
Covers (incoming)
Related across the graph
paperAPRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern ParadigmspaperRadiomicNet: A Hybrid Radiomics-Guided Lightweight Architecture for Interpretable Medical Image SegmentationpaperEchoSonar-R: A Multi-View Reasoning-Enabled Model for Disease Classification and Report Generation in EchocardiographynewsA behind-the-scenes look at Midjourney’s medical scanner leaves many questions unansweredpaperMedSaab-US: A Backpropagation-Free Multi-Scale Wavelet-Saab Framework for Thyroid Nodule Segmentation in Ultrasound ImagespaperPredicting Early Stages Of Alzheimer's Disease And Identifying Key Biomarkers Using Deep Artificial Neural Network And Ensemble Of Machine Learning MethodologiespaperCORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMspaperTRACE: A Concept Bottleneck Model for Longitudinal 3D Glioblastoma Response Assessment