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3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI., , , , , , and . CoRR, (2018)Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network., , , , , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 234-242. Springer, (2019)Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites., , , , , , , , , and 1 other author(s). OR/MLCN@MICCAI, volume 11796 of Lecture Notes in Computer Science, page 103-111. Springer, (2019)Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis., , , , , , , and . ICLR, OpenReview.net, (2022)DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data., , , , , , , , , and . J. Imaging, 8 (10): 259 (2022)APIR-Net: Autocalibrated Parallel Imaging Reconstruction Using a Neural Network., , , , and . MLMIR@MICCAI, volume 11905 of Lecture Notes in Computer Science, page 36-46. Springer, (2019)Deep Learning from Label Proportions for Emphysema Quantification., , , , , , , and . MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 768-776. Springer, (2018)Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators., , , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 93-101. Springer, (2019)GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network., , , , , , and . MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 214-221. Springer, (2017)Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy., , , , , , , , and . CoRR, (2020)