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Left Ventricle Quantification with Cardiac MRI: Deep Learning Meets Statistical Models of Deformation.

, , , , , , and . STACOM@MICCAI, volume 12009 of Lecture Notes in Computer Science, page 384-394. Springer, (2019)

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Left Ventricle Quantification with Cardiac MRI: Deep Learning Meets Statistical Models of Deformation., , , , , , and . STACOM@MICCAI, volume 12009 of Lecture Notes in Computer Science, page 384-394. Springer, (2019)A 2-Step Deep Learning Method with Domain Adaptation for Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Magnetic Resonance Segmentation., , , , and . M&Ms and EMIDEC/STACOM@MICCAI, volume 12592 of Lecture Notes in Computer Science, page 196-207. Springer, (2020)A Multi-view Crossover Attention U-Net Cascade with Fourier Domain Adaptation for Multi-domain Cardiac MRI Segmentation., , and . STACOM@MICCAI, volume 13131 of Lecture Notes in Computer Science, page 323-334. Springer, (2021)SMOD - Data Augmentation Based on Statistical Models of Deformation to Enhance Segmentation in 2D Cine Cardiac MRI., , , , , , and . FIMH, volume 11504 of Lecture Notes in Computer Science, page 361-369. Springer, (2019)Mesh U-Nets for 3D Cardiac Deformation Modeling., , , , , , , , , and 4 other author(s). STACOM@MICCAI, volume 13593 of Lecture Notes in Computer Science, page 245-257. Springer, (2022)Post-Infarction Risk Prediction with Mesh Classification Networks., , , , , , , , , and 4 other author(s). STACOM@MICCAI, volume 13593 of Lecture Notes in Computer Science, page 291-301. Springer, (2022)