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SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI



Junshen Xu , Daniel Moyer , P. Ellen Grant , Polina Golland , Juan Eugenio Iglesias , Elfar Adalsteinsson

* Accepted by MICCAI 2022 

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Deep Learning on Implicit Neural Datasets



Clinton J. Wang , Polina Golland


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SUD: Supervision by Denoising for Medical Image Segmentation



Sean I. Young , Adrian V. Dalca , Enzo Ferrante , Polina Golland , Bruce Fischl , Juan Eugenio Iglesias

* Author's manuscript for IEEE Trans. Pattern Anal. Mach. Intell 

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Symmetric Volume Maps



S. Mazdak Abulnaga , Oded Stein , Polina Golland , Justin Solomon


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Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels



Sungmin Hong , Anna K. Bonkhoff , Andrew Hoopes , Martin Bretzner , Markus D. Schirmer , Anne-Katrin Giese , Adrian V. Dalca , Polina Golland , Natalia S. Rost


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Volumetric Parameterization of the Placenta to a Flattened Template



S. Mazdak Abulnaga , Esra Abaci Turk , Mikhail Bessmeltsev , P. Ellen Grant , Justin Solomon , Polina Golland

* Accepted to IEEE TMI ( (c) IEEE). This manuscript expands the MICCAI 2019 paper (arXiv:1903.05044) by developing additional template models and extensions to improve robustness, expanded evaluation on a significantly larger dataset, and experiments and discussion demonstrating utility for clinical research. Code is available at https://github.com/mabulnaga/placenta-flattening 

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Image Classification with Consistent Supporting Evidence



Peiqi Wang , Ruizhi Liao , Daniel Moyer , Seth Berkowitz , Steven Horng , Polina Golland

* 13 pages, 6 figures, proceedings of the Machine Learning for Health NeurIPS Workshop, 2021 

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3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images



Sungmin Hong , Razvan Marinescu , Adrian V. Dalca , Anna K. Bonkhoff , Martin Bretzner , Natalia S. Rost , Polina Golland

* 11 pages, 6 figures, 2 tables. Provisionally Accepted at DGM4MICCAI workshop in MICCAI 2021 

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STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning



Junshen Xu , Esra Abaci Turk , P. Ellen Grant , Polina Golland , Elfar Adalsteinsson


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