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A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling.

, , , , , , , , , , , , , , and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 241-261. PMLR, (2020)

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How Effective is Adversarial Training of CNNs in Medical Image Analysis?, and . MIUA, volume 13413 of Lecture Notes in Computer Science, page 443-457. Springer, (2022)#DigitalHealth: Exploring Users' Perspectives through Social Media Analysis., , and . ICIMTH, volume 213 of Studies in Health Technology and Informatics, page 243-246. IOS Press, (2015)Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population., , , , , , , , , and 1 other author(s). MIUA, volume 1248 of Communications in Computer and Information Science, page 400-409. Springer, (2020)Web-Based AI System for Medical Image Segmentation., , , , , , , and . MIUA, volume 14122 of Lecture Notes in Computer Science, page 231-241. Springer, (2023)A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling., , , , , , , , , and 5 other author(s). MIDL, volume 121 of Proceedings of Machine Learning Research, page 241-261. PMLR, (2020)Accurate segmentation of neonatal brain MRI with deep learning., and . Frontiers Neuroinformatics, (2022)Reducing Textural Bias Improves Robustness of Deep Segmentation CNNs., , and . CoRR, (2020)Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain., , , and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 230-240. PMLR, (2020)Reducing CNN Textural Bias With k-Space Artifacts Improves Robustness., and . IEEE Access, (2022)Reducing Textural Bias Improves Robustness of Deep Segmentation Models., , and . MIUA, volume 12722 of Lecture Notes in Computer Science, page 294-304. Springer, (2021)