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05/15/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
Automated brain tumor segmentation methods are well established, reachin...
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05/15/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting
A myriad of algorithms for the automatic analysis of brain MR images is ...
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04/05/2022
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation
Deep learning models for medical image segmentation can fail unexpectedl...
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11/08/2021
Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation
The quantitative assessment of the developing human brain in utero is cr...
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09/06/2021
FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom
Accurate characterization of in utero human brain maturation is critical...
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07/05/2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
The BraTS 2021 challenge celebrates its 10th anniversary and is jointly ...
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05/12/2021
The Federated Tumor Segmentation (FeTS) Challenge
This manuscript describes the first challenge on Federated Learning, nam...
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10/29/2020
A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset
It is critical to quantitatively analyse the developing human fetal brai...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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10/22/2018