Natalia S. Rost

According to our database, Natalia S. Rost authored at least 14 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Spatial-Intensity Transforms for Medical Image-to-Image Translation.

Clinton J. Wang, Natalia S. Rost, Polina Golland

IEEE Trans. Medical Imaging, November, 2023

2021

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

CoRR, 2021

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

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

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

2020

Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation.

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

Medical Image Anal., 2020

Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation.

Clinton J. Wang, Natalia S. Rost, Polina Golland

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Fast learning-based registration of sparse 3D clinical images.

Kathleen M. Lewis, Natalia S. Rost, John V. Guttag, Adrian V. Dalca

Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2019

Medical Image Imputation From Image Collections.

Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland

IEEE Trans. Medical Imaging, 2019

Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data.

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

CoRR, 2019

Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators.

Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Fast Learning-based Registration of Sparse Clinical Images.

Kathleen M. Lewis, Guha Balakrishnan, Natalia S. Rost, John V. Guttag, Adrian V. Dalca

CoRR, 2018

2017

Population Based Image Imputation.

Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2017

2016

Patch-Based Discrete Registration of Clinical Brain Images.

Adrian V. Dalca, Andreea Bobu, Natalia S. Rost, Polina Golland

Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

2014

Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors.

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013

Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke.

Ramesh Sridharan, Adrian V. Dalca, Kaitlin M. Fitzpatrick, Lisa Cloonan, Allison Kanakis, Ona Wu, Karen L. Furie, Jonathan Rosand, Natalia S. Rost, Polina Golland

Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013