repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · yesterday
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).
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) · 51%TRACE: A Concept Bottleneck Model for Longitudinal 3D Glioblastoma Response Assessment →
- PossiblePossibly related (embedding) · 50%CORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMs →
- PossiblePossibly related (embedding) · 49%APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms →
- PossiblePossibly related (embedding) · 46%EchoSonar-R: A Multi-View Reasoning-Enabled Model for Disease Classification and Report Generation in Echocardiography →
- PossiblePossibly related (embedding) · 50%Predicting Early Stages Of Alzheimer's Disease And Identifying Key Biomarkers Using Deep Artificial Neural Network And Ensemble Of Machine Learning Methodologies →
- PossiblePossibly related (embedding) · 47%RadiomicNet: A Hybrid Radiomics-Guided Lightweight Architecture for Interpretable Medical Image Segmentation →
- PossiblePossibly related (embedding) · 47%MedSaab-US: A Backpropagation-Free Multi-Scale Wavelet-Saab Framework for Thyroid Nodule Segmentation in Ultrasound Images →
- PossiblePossibly related (embedding) · 45%A behind-the-scenes look at Midjourney’s medical scanner leaves many questions unanswered →
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 ImagespaperCenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed DetectionpaperUnsupervised Domain Adaptation for Calcification Classification in Mammography Across Multi-Site DatasetspaperMulti-Resolution Feature Stem for Diabetic Retinopathy lesion segmentationpaperALICE: Learning a General-Purpose Pathology Foundation Model from Vision, Vision-Language, and Slide-Level ExpertspaperUniMedSeg: Unified In-Context Learning for Multi-Paradigm 2D/3D Medical Image Segmentation
Covers (incoming)
newsA behind-the-scenes look at Midjourney’s medical scanner leaves many questions unanswerednewsJMIR report: machine learning accelerates radiopharmaceutical drug discovery, optimizes personalized dosimetry - EurekAlert!newsMachine learning redefines precision cancer therapy using smart radiopharmaceuticals - News-MedicalnewsAdvancing Neurological Disease Prediction through Machine Learning Techniques - lincolnjournal.comnewsAdvancing Neurological Disease Prediction through Machine Learning Techniques - Carroll County Mirror-DemocratnewsAdvancing Neurological Disease Prediction through Machine Learning Techniques - True North Radio NetworknewsAdvancing Neurological Disease Prediction through Machine Learning Techniques - Fairfax County TimesnewsAdvancing Neurological Disease Prediction through Machine Learning Techniques - WREXnewsAdvancing Neurological Disease Prediction through Machine Learning Techniques - The Malone TelegramnewsMachine Learning Boost System for Biomedical Imaging, Autonomous Vehicle Sensors - Technology Networks
Related across the graph
newsAdvancing Neurological Disease Prediction through Machine Learning Techniques - Carroll County Mirror-DemocratnewsAdvancing Neurological Disease Prediction through Machine Learning Techniques - The Malone TelegrampaperUniMedSeg: Unified In-Context Learning for Multi-Paradigm 2D/3D Medical Image SegmentationpaperALICE: Learning a General-Purpose Pathology Foundation Model from Vision, Vision-Language, and Slide-Level ExpertspaperUnsupervised Domain Adaptation for Calcification Classification in Mammography Across Multi-Site DatasetspaperAPRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern ParadigmsnewsAdvancing Neurological Disease Prediction through Machine Learning Techniques - Fairfax County TimesnewsJMIR report: machine learning accelerates radiopharmaceutical drug discovery, optimizes personalized dosimetry - EurekAlert!paperRadiomicNet: 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 EchocardiographynewsMachine learning redefines precision cancer therapy using smart radiopharmaceuticals - News-MedicalpaperCenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed DetectionnewsA behind-the-scenes look at Midjourney’s medical scanner leaves many questions unanswerednewsMachine Learning Boost System for Biomedical Imaging, Autonomous Vehicle Sensors - Technology NetworkspaperMedSaab-US: A Backpropagation-Free Multi-Scale Wavelet-Saab Framework for Thyroid Nodule Segmentation in Ultrasound ImagesnewsAdvancing Neurological Disease Prediction through Machine Learning Techniques - lincolnjournal.compaperMulti-Resolution Feature Stem for Diabetic Retinopathy lesion segmentationpaperPredicting Early Stages Of Alzheimer's Disease And Identifying Key Biomarkers Using Deep Artificial Neural Network And Ensemble Of Machine Learning MethodologiesnewsAdvancing Neurological Disease Prediction through Machine Learning Techniques - True North Radio NetworkpaperCORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMspaperTRACE: A Concept Bottleneck Model for Longitudinal 3D Glioblastoma Response AssessmentnewsAdvancing Neurological Disease Prediction through Machine Learning Techniques - WREX