Natalia S. Rost

17 papers Journal 9Unranked 8
YearRankTypeTitle / Venue / Authors
2023 J jnl
Spatial-Intensity Transforms for Medical Image-to-Image Translation.
IEEE Trans. Medical Imaging
Clinton J. Wang, Natalia S. Rost, Polina Golland
2021 — conf
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images.
DGM4MICCAI/DALI@MICCAI
Sungmin Hong, Razvan V. Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland
2021 J jnl
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images.
CoRR
Sungmin Hong, Razvan V. Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland
2021 J jnl
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels.
CoRR
Sungmin Hong, Anna K. Bonkhoff, Andrew Hoopes, Martin Bretzner, Markus D. Schirmer, Anne-Katrin Giese, Adrian V. Dalca, Polina Golland, Natalia S. Rost
2020 — conf
Fast learning-based registration of sparse 3D clinical images.
CHIL
Kathleen M. Lewis, Natalia S. Rost, John V. Guttag, Adrian V. Dalca
2020 J jnl
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation.
Medical Image Anal.
Florian Dubost, Marleen de Bruijne, Marco Nardin, Adrian V. Dalca, Kathleen L. Donahue, Anne-Katrin Giese, Mark R. Etherton, Ona Wu, Marius de Groot, Wiro J. Niessen, Meike W. Vernooij, Natalia S. Rost, Markus D. Schirmer
2020 — conf
Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation.
MICCAI (2)
Clinton J. Wang, Natalia S. Rost, Polina Golland
2019 J jnl
Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data.
CoRR
Florian Dubost, Marleen de Bruijne, Marco Nardin, Adrian V. Dalca, Kathleen L. Donahue, Anne-Katrin Giese, Mark R. Etherton, Ona Wu, Marius de Groot, Wiro J. Niessen, Meike W. Vernooij, Natalia S. Rost, Markus D. Schirmer
2019 J jnl
Medical Image Imputation From Image Collections.
IEEE Trans. Medical Imaging
Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
2019 — conf
Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators.
MICCAI (4)
Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland
2019 J jnl
Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators.
CoRR
Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland
2018 J jnl
Fast Learning-based Registration of Sparse Clinical Images.
CoRR
Kathleen M. Lewis, Guha Balakrishnan, Natalia S. Rost, John V. Guttag, Adrian V. Dalca
2018 J jnl
Medical Image Imputation from Image Collections.
CoRR
Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
2017 — conf
Population Based Image Imputation.
IPMI
Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
2016 — conf
Patch-Based Discrete Registration of Clinical Brain Images.
Patch-MI@MICCAI
Adrian V. Dalca, Andreea Bobu, Natalia S. Rost, Polina Golland
2014 — conf
Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors.
MICCAI (2)
Adrian Vasile Dalca, Ramesh Sridharan, Lisa Cloonan, Kaitlin M. Fitzpatrick, Allison Kanakis, Karen L. Furie, Jonathan Rosand, Ona Wu, Mert R. Sabuncu, Natalia S. Rost, Polina Golland
2013 — conf
Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke.
MBIA
Ramesh Sridharan, Adrian V. Dalca, Kaitlin M. Fitzpatrick, Lisa Cloonan, Allison Kanakis, Ona Wu, Karen L. Furie, Jonathan Rosand, Natalia S. Rost, Polina Golland