390 citations
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eess.IV2021★ 16 cited
The Federated Tumor Segmentation (FeTS) Challenge
Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29
This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…
eess.IV2020★ 3 cited
Attention-Guided Generative Adversarial Network to Address Atypical Anatomy in Modality Transfer
Hajar Emami, Ming Dong, Carri K. Glide-Hurst
Recently, interest in MR-only treatment planning using synthetic CTs (synCTs) has grown rapidly in radiation therapy. However, developing class solutions for medical images that co…
eess.IV2019★ 1 cited
Improvement of Multiparametric MR Image Segmentation by Augmenting the Data with Generative Adversarial Networks for Glioma Patients
Eric Carver, Zhenzhen Dai, Evan Liang +2
Every year thousands of patients are diagnosed with a glioma, a type of malignant brain tumor. Physicians use MR images as a key tool in the diagnosis and treatment of these patien…