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Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks.

, , , , , and . CoRR, (2024)

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Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks., , , , , and . CoRR, (2024)Fetal Organ Anomaly Classification Network for Identifying Organ Anomalies in Fetal MRI., , , , and . Frontiers Artif. Intell., (2022)Tumor-location-guided CNNs for Pediatric Low-grade Glioma Molecular Biomarker Classification Using MRI., , , , , , and . CoRR, (2022)Cross Attention Squeeze Excitation Network (CASE-Net) for Whole Body Fetal MRI Segmentation., , , , , , , , , and 2 other author(s). Sensors, 21 (13): 4490 (2021)Motion artifact correction in fetal MRI based on a Generative Adversarial network method., , , , and . Biomed. Signal Process. Control., (March 2023)Open-radiomics: A Research Protocol to Make Radiomics-based Machine Learning Pipelines Reproducible., , , and . CoRR, (2022)Generating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks., , , , , and . CoRR, (2023)A novel GAN-based paradigm for weakly supervised brain tumor segmentation of MR images., , , , , , , and . CoRR, (2022)Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning., , , , and . CoRR, (2021)Automatic Artifact Detection Algorithm in Fetal MRI., , , , and . Frontiers Artif. Intell., (2022)