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Combining Deep Learning and Multi-atlas Label Fusion for Automated Placenta Segmentation from 3DUS.

, , , , , , , and . DATRA/PIPPI@MICCAI, volume 11076 of Lecture Notes in Computer Science, page 138-148. Springer, (2018)

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Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track., , , , , , and . CoRR, (2019)Enhanced cortical thickness measurements for rodent brains via Lagrangian-based RK4 streamline computation., , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97840B. SPIE, (2016)Fully automated rodent brain MR image processing pipeline on a Midas server: from acquired images to region-based statistics., , , , , and . Frontiers Neuroinformatics, (2013)Self-Supervised CSF Inpainting with Synthetic Atrophy for Improved Accuracy Validation of Cortical Surface Analyses., , and . CoRR, (2023)Longitudinal subcortical segmentation with deep learning., , , , , and . Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)Establishing surface correspondence for post-surgical cortical thickness changes in temporal lobe epilepsy., , , , , , , and . Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)Entropy-based particle correspondence for shape populations., , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (7): 1221-1232 (2016)CATS v2: Hybrid encoders for robust medical segmentation., , , , , and . CoRR, (2023)VesselMorph: Domain-Generalized Retinal Vessel Segmentation via Shape-Aware Representation., , , , , and . CoRR, (2023)Generalizing MRI Subcortical Segmentation to Neurodegeneration., , , , , , and . MLCN/RNO-AI@MICCAI, volume 12449 of Lecture Notes in Computer Science, page 139-147. Springer, (2020)