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From adult to pediatric: deep learning-based automatic segmentation of rare pediatric brain tumors., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging., , , , , , , , and . EMBC, page 1-5. IEEE, (2023)The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)., , , , , , , , , and 66 other author(s). CoRR, (2024)Automatic Segmentation of Rare Pediatric Brain Tumors Using Knowledge Transfer From Adult Data., , , , , , , and . ISBI, page 1-4. IEEE, (2023)Unsupervised MRI Homogenization: Application to Pediatric Anterior Visual Pathway Segmentation., , , , and . MLMI@MICCAI, volume 12436 of Lecture Notes in Computer Science, page 180-188. Springer, (2020)Joint deep shape and appearance learning: application to optic pathway glioma segmentation., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101341O. SPIE, (2017)