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Learning deformable registration of medical images with anatomical constraints.

, , and . Neural Networks, (2020)

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Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy., , , , , , , , and . MICCAI (2), volume 12262 of Lecture Notes in Computer Science, page 390-399. Springer, (2020)Towards Unraveling Calibration Biases in Medical Image Analysis., , , and . CLIP/FAIMI/EPIMI@MICCAI, volume 14242 of Lecture Notes in Computer Science, page 132-141. Springer, (2023)Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data., , , , , , , , , and 15 other author(s). IEEE J. Biomed. Health Informatics, 25 (9): 3541-3553 (2021)Multi-center anatomical segmentation with heterogeneous labels via landmark-based models., , , and . CoRR, (2022)Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis., , , , and . CoRR, (2022)Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging., , , , , and . CoRR, (2024)Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology., , , , , , , and . CoRR, (2023)Cranial Implant Design via Virtual Craniectomy with Shape Priors., , , and . AutoImplant@MICCAI, volume 12439 of Lecture Notes in Computer Science, page 37-46. Springer, (2020)Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images., , , , , and . MICCAI (5), volume 12905 of Lecture Notes in Computer Science, page 699-708. Springer, (2021)Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation., , , and . MICCAI (1), volume 12901 of Lecture Notes in Computer Science, page 600-610. Springer, (2021)