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Kaisar Kushibar

Barcelona Artificial Intelligence in Medicine Lab
H指数:16
被引数:1,309

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The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction

MAMA-MIA挑战:推进乳腺MRI肿瘤分割和治疗效果预测的泛化性与公平性

2026-09-140
OA
Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging Datasets

Fr é chet影像距离 (FRD): 用于比较医学成像数据集的通用度量

2026-01-240
PRE
A Review of Methods for Trustworthy AI in Medical Imaging: The FUTURE-AI Guidelines

可信赖人工智能在医学影像中的方法综述:FUTURE-AI指南

2025-09-290
OA
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results

多评价者体积评估在多器官分割(CURVAS)挑战赛中的校准与不确定性结果

2025-09-100
PRE
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

通过联合肿瘤分割 (FeTS) 挑战实现医疗AI算法的公平分散基准测试

2025-07-080
OAAI
A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations

一个大规模的多中心乳腺癌DCE-MRI基准数据集,包含专家分割结果

2025-03-190
OA
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge
2023-07-0120
OA