Joel Kullberg

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 21

Top Topics

Automatic Segmentation

Magnetic Resonance Imaging

Top Venues

Comput. Medical Imaging Graph.

Publications

Sambit Tarai, Elin Lundström, Johan Öfverstedt, Hanna Jönsson, Nouman Ahmad, Håkan Ahlström, Joel Kullberg
Prediction of Total Metabolic Tumor Volume from Tissue-Wise FDG-PET/CT Projections, Interpreted Using Cohort Saliency Analysis. MIUA (2) (2024)
Johan Öfverstedt, Elin Lundström, Göran Bergström, Joel Kullberg, Håkan Ahlström
A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms. CoRR (2024)
Eva Breznik, Joel Kullberg, Håkan Ahlström, Robin Strand
Introducing Spatial Context in Patch-Based Deep Learning for Semantic Segmentation in Whole Body MRI. SCIA (2) (2023)
Nouman Ahmad, Robin Strand, Björn Sparresäter, Sambit Tarai, Elin Lundström, Göran Bergström, Håkan Ahlström, Joel Kullberg
Automatic segmentation of large-scale CT image datasets for detailed body composition analysis. BMC Bioinform. 24 (1) (2023)
Eva Breznik, Hoel Kervadec, Filip Malmberg, Joel Kullberg, Håkan Ahlström, Marleen de Bruijne, Robin Strand
Leveraging point annotations in segmentation learning with boundary loss. CoRR (2023)
David S. Smith, Joel Kullberg, Johan Berglund, Malcolm J. Avison, E. Brian Welch
Robust and Automated Method for Spike Detection and Removal in Magnetic Resonance Imaging. CoRR (2021)
Taro Langner, Andrés Martínez Mora, Robin Strand, Håkan Ahlström, Joel Kullberg
MIMIR: Deep Regression for Automated Analysis of UK Biobank Body MRI. CoRR (2021)
Taro Langner, Fredrik K. Gustafsson, Benny Avelin, Robin Strand, Håkan Ahlström, Joel Kullberg
Uncertainty-Aware Body Composition Analysis with Deep Regression Ensembles on UK Biobank MRI. CoRR (2021)
Taro Langner, Robin Strand, Håkan Ahlström, Joel Kullberg
Deep regression for uncertainty-aware and interpretable analysis of large-scale body MRI. CoRR (2021)
Taro Langner, Fredrik K. Gustafsson, Benny Avelin, Robin Strand, Håkan Ahlström, Joel Kullberg
Uncertainty-aware body composition analysis with deep regression ensembles on UK Biobank MRI. Comput. Medical Imaging Graph. 93 (2021)
Simon Ekström, Filip Malmberg, Håkan Ahlström, Joel Kullberg, Robin Strand
Fast graph-cut based optimization for practical dense deformable registration of volume images. Comput. Medical Imaging Graph. 84 (2020)
Taro Langner, Robin Strand, Håkan Ahlström, Joel Kullberg
Large-scale inference of liver fat with neural networks on UK Biobank body MRI. CoRR (2020)
Taro Langner, Andreas Östling, Lukas Maldonis, Albin Karlsson, Daniel Olmo, Dag Lindgren, Andreas Wallin, Lowe Lundin, Robin Strand, Håkan Ahlström, Joel Kullberg
Kidney segmentation in neck-to-knee body MRI of 40, 000 UK Biobank participants. CoRR (2020)
Taro Langner, Håkan Ahlström, Joel Kullberg
Large-scale biometry with interpretable neural network regression on UK Biobank body MRI. CoRR (2020)
Robin Strand, Simon Ekström, Eva Breznik, Therese Sjöholm, Martino Pilia, Lars Lind, Filip Malmberg, Håkan Ahlström, Joel Kullberg
Recent advances in large scale whole body MRI image analysis: Imiomics. SIET (2020)
Taro Langner, Robin Strand, Håkan Ahlström, Joel Kullberg
Large-Scale Inference of Liver Fat with Neural Networks on UK Biobank Body MRI. MICCAI (2) (2020)
Taro Langner, Johan Wikström, Tomas Bjerner, Håkan Ahlström, Joel Kullberg
Identifying Morphological Indicators of Aging With Neural Networks on Large-Scale Whole-Body MRI. IEEE Trans. Medical Imaging 39 (5) (2020)
Jonathan Andersson, Håkan Ahlström, Joel Kullberg
Separation of water and fat signal in whole-body gradient echo scans using convolutional neural networks. CoRR (2018)
Taro Langner, Anders Hedström, Håkan Ahlström, Joel Kullberg, Katharina Paulmichl, Daniel Weghuber, Anders Forslund, Peter Bergsten
Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI. CoRR (2018)
Simon Ekström, Filip Malmberg, Håkan Ahlström, Joel Kullberg, Robin Strand
Fast Graph-Cut Based Optimization for Practical Dense Deformable Registration of Volume Images. CoRR (2018)
Filip Malmberg, Richard Nordenskjöld, Robin Strand, Joel Kullberg
SmartPaint: a tool for interactive segmentation of medical volume images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5 (1) (2017)
Rahil Shahzad, Oleh Dzyubachyk, Marius Staring, Joel Kullberg, Lars Johansson, Håkan Ahlström, Boudewijn P. F. Lelieveldt, Rob J. van der Geest
Automated extraction and labelling of the arterial tree from whole-body MRA data. Medical Image Anal. 24 (1) (2015)
Richard Nordenskjöld, Filip Malmberg, Elna-Marie Larsson, Andrew Simmons, Samantha J. Brooks, Lars Lind, Håkan Ahlström, Lars Johansson, Joel Kullberg
Intracranial volume estimated with commonly used methods could introduce bias in studies including brain volume measurements. NeuroImage 83 (2013)
Filip Malmberg, Robin Strand, Richard Nordenskjöld, Joel Kullberg
Seeded segmentation based on object homogeneity. ICPR (2012)
Marcus Bjork, Johan Berglund, Joel Kullberg, Petre Stoica
Signal modeling and the Cramér-Rao Bound for absolute Magnetic Resonance thermometry in fat tissue. ACSCC (2011)
Joel Kullberg
Whole-body MRI for analysis of body composition. ISBI (2010)