Natalia S. Rost

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 15

Top Topics

Image Registration

Generative Model

Top Venues

IEEE Trans. Medical Imaging

Publications

Clinton J. Wang, Natalia S. Rost, Polina Golland
Spatial-Intensity Transforms for Medical Image-to-Image Translation. IEEE Trans. Medical Imaging 42 (11) (2023)
Sungmin Hong, Razvan V. Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images. CoRR (2021)
Sungmin Hong, Anna K. Bonkhoff, Andrew Hoopes, Martin Bretzner, Markus D. Schirmer, Anne-Katrin Giese, Adrian V. Dalca, Polina Golland, Natalia S. Rost
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels. CoRR (2021)
Sungmin Hong, Razvan V. Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images. DGM4MICCAI/DALI@MICCAI (2021)
Kathleen M. Lewis, Natalia S. Rost, John V. Guttag, Adrian V. Dalca
Fast learning-based registration of sparse 3D clinical images. CHIL (2020)
Clinton J. Wang, Natalia S. Rost, Polina Golland
Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation. MICCAI (2) (2020)
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
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation. Medical Image Anal. 63 (2020)
Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
Medical Image Imputation From Image Collections. IEEE Trans. Medical Imaging 38 (2) (2019)
Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland
Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. MICCAI (4) (2019)
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
Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data. CoRR (2019)
Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland
Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. CoRR (2019)
Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
Medical Image Imputation from Image Collections. CoRR (2018)
Kathleen M. Lewis, Guha Balakrishnan, Natalia S. Rost, John V. Guttag, Adrian V. Dalca
Fast Learning-based Registration of Sparse Clinical Images. CoRR (2018)
Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
Population Based Image Imputation. IPMI (2017)
Adrian V. Dalca, Andreea Bobu, Natalia S. Rost, Polina Golland
Patch-Based Discrete Registration of Clinical Brain Images. Patch-MI@MICCAI (2016)
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
Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors. MICCAI (2) (2014)
Ramesh Sridharan, Adrian V. Dalca, Kaitlin M. Fitzpatrick, Lisa Cloonan, Allison Kanakis, Ona Wu, Karen L. Furie, Jonathan Rosand, Natalia S. Rost, Polina Golland
Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke. MBIA (2013)