Joel Kullberg

Orcid: 0000-0001-8205-7569

According to our database¹, Joel Kullberg authored at least 21 papers between 2010 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2023

Automatic segmentation of large-scale CT image datasets for detailed body composition analysis.

[BibT_eX]

[DOI]

BMC Bioinform., December, 2023

Leveraging point annotations in segmentation learning with boundary loss.

[BibT_eX]

[DOI]

CoRR, 2023

Introducing Spatial Context in Patch-Based Deep Learning for Semantic Segmentation in Whole Body MRI.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

2021

Robust and Automated Method for Spike Detection and Removal in Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

CoRR, 2021

MIMIR: Deep Regression for Automated Analysis of UK Biobank Body MRI.

[BibT_eX]

[DOI]

CoRR, 2021

Deep regression for uncertainty-aware and interpretable analysis of large-scale body MRI.

[BibT_eX]

[DOI]

CoRR, 2021

Uncertainty-aware body composition analysis with deep regression ensembles on UK Biobank MRI.

[BibT_eX]

[DOI]

Taro Langner

Fredrik K. Gustafsson

Comput. Medical Imaging Graph., 2021

2020

Identifying Morphological Indicators of Aging With Neural Networks on Large-Scale Whole-Body MRI.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Kidney segmentation in neck-to-knee body MRI of 40, 000 UK Biobank participants.

[BibT_eX]

[DOI]

CoRR, 2020

Large-scale biometry with interpretable neural network regression on UK Biobank body MRI.

[BibT_eX]

[DOI]

Taro Langner

Håkan Ahlström

Joel Kullberg

CoRR, 2020

Fast graph-cut based optimization for practical dense deformable registration of volume images.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2020

Recent advances in large scale whole body MRI image analysis: Imiomics.

[BibT_eX]

[DOI]

Proceedings of the SIET '20: 5th International Conference on Sustainable Information Engineering and Technology, 2020

Large-Scale Inference of Liver Fat with Neural Networks on UK Biobank Body MRI.

[BibT_eX]

[DOI]

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

2018

Separation of water and fat signal in whole-body gradient echo scans using convolutional neural networks.

[BibT_eX]

[DOI]

Jonathan Andersson

Håkan Ahlström

Joel Kullberg

CoRR, 2018

Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI.

[BibT_eX]

[DOI]

CoRR, 2018

2017

SmartPaint: a tool for interactive segmentation of medical volume images.

[BibT_eX]

[DOI]

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2017

2015

Automated extraction and labelling of the arterial tree from whole-body MRA data.

[BibT_eX]

[DOI]

Boudewijn P. F. Lelieveldt

Rob J. van der Geest

Medical Image Anal., 2015

2013

Intracranial volume estimated with commonly used methods could introduce bias in studies including brain volume measurements.

[BibT_eX]

[DOI]

NeuroImage, 2013

2012

Seeded segmentation based on object homogeneity.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Signal modeling and the Cramér-Rao Bound for absolute Magnetic Resonance thermometry in fat tissue.

[BibT_eX]

[DOI]

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

Whole-body MRI for analysis of body composition.

[BibT_eX]

[DOI]

Joel Kullberg

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Joel Kullberg

Timeline

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On csauthors.net:

Bibliography

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