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The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
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Pediatric tumors of the central nervous system are the most common cause of cancer-related death in children. The five-year survival rate for high-grade gliomas in children is less than 20%. Due to their rarity, the diagnosis of these entities is often delayed, their treatment is mainly based on historic treatment concepts, and clinical trials require multi-institutional collaborations. Here we present the CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs challenge, focused on pediatric brain tumors with data acquired across multiple international consortia dedicated to pediatric neuro-oncology and clinical trials. The CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs challenge brings together clinicians and AI/imaging scientists to lead to faster development of automated segmentation techniques that could benefit clinical trials, and ultimately the care of children with brain tumors.
Forward citations
Cited by 7 Pith papers
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Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-Guided Subtyping and Lesion-Wise Model Ensemble
A radiomic-guided subtyping and lesion-wise ensemble pipeline delivers segmentation performance comparable to top entries on diverse BraTS 2025 brain tumor datasets.
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BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis
BraTS orchestrator is a new open-source package that provides uniform, tutorial-based access to winning BraTS segmentation and synthesis algorithms for brain tumor MRI.
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Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation
An ensemble of nnU-Net, MedNeXt and SwinUNETR with radiomic-subtype-tuned post-processing achieves whole-tumor lesion-wise Dice of 0.926, 0.801 and 0.688 on the BraTS 2024 PED, MEN-RT and MET test sets.
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Optimizing Brain Tumor Segmentation with MedNeXt: BraTS 2024 SSA and Pediatrics
A MedNeXt ensemble with finetuning and validation-set-tuned postprocessing achieved average Dice 0.896 on BraTS-2024 SSA and 0.830 on BraTS-2024 Pediatric validation sets.
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BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis
BrainLesion Suite is a modular open-source toolkit for brain lesion image analysis that combines previously published preprocessing, segmentation, and evaluation components, though the paper reports no new quantitativ...
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