Silas Nyboe Ørting

According to our database, Silas Nyboe Ørting authored at least 13 papers between 2016 and 2023.

Collaborative distances:

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

2023

Morphology on Categorical Distributions.

Silas Nyboe Ørting, Hans Jacob Teglbjærg Stephensen, Jon Sporring

J. Math. Imaging Vis., December, 2023

2020

Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem.

Ruwan B. Tennakoon, Gerda Bortsova, Silas Nyboe Ørting, Amirali K. Gostar, Mathilde M. W. Wille, Zaigham Saghir, Reza Hoseinnezhad, Marleen de Bruijne, Alireza Bab-Hadiashar

IEEE Trans. Medical Imaging, 2020

Learning to Quantify Emphysema Extent: What Labels Do We Need?

Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne

IEEE J. Biomed. Health Informatics, 2020

A Survey of Crowdsourcing in Medical Image Analysis.

Silas Nyboe Ørting, Andrew Doyle, Arno van Hilten, Matthias Hirth, Oana Inel, Christopher R. Madan, Panagiotis Mavridis, Helen Spiers, Veronika Cheplygina

Hum. Comput., 2020

A small note on variation in segmentation annotations.

Silas Nyboe Ørting

CoRR, 2020

Multi-layered tensor networks for image classification.

Raghavendra Selvan, Silas Nyboe Ørting, Erik B. Dam

CoRR, 2020

Locally orderless tensor networks for classifying two- and three-dimensional medical images.

Raghavendra Selvan, Silas Nyboe Ørting, Erik B. Dam

CoRR, 2020

2019

A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation.

Wouter M. Kouw, Silas N. Ørting, Jens Petersen, Kim Steenstrup Pedersen, Marleen de Bruijne

Proceedings of the Information Processing in Medical Imaging, 2019

2018

Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans.

Silas Nyboe Ørting, Jens Petersen, Veronika Cheplygina, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne

Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018

Deep Learning from Label Proportions for Emphysema Quantification.

Gerda Bortsova, Florian Dubost, Silas N. Ørting, Ioannis Katramados, Laurens Hogeweg, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Detecting emphysema with multiple instance learning.

Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Crowdsourced Emphysema Assessment.

Silas Nyboe Ørting, Veronika Cheplygina, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne

Proceedings of the Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2017

2016

Training shortest-path tractography: Automatic learning of spatial priors.

Niklas Kasenburg, Matthew G. Liptrot, Nina Linde Reislev, Silas N. Ørting, Mads Nielsen, Ellen Garde, Aasa Feragen

NeuroImage, 2016