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2020 – today
- 2024
[c7]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: 242-255- [i12]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 abs/2405.07762 (2024) - 2023
- [j7]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): 346 (2023) - [c6]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: 214-228 - [i11]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 abs/2311.03537 (2023) - 2021
- [j6]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: 101994 (2021) - [i10]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 abs/2101.06963 (2021) - [i9]Taro Langner, Robin Strand, Håkan Ahlström, Joel Kullberg:
Deep regression for uncertainty-aware and interpretable analysis of large-scale body MRI. CoRR abs/2105.07797 (2021) - [i8]Taro Langner, Andrés Martínez Mora, Robin Strand, Håkan Ahlström, Joel Kullberg:
MIMIR: Deep Regression for Automated Analysis of UK Biobank Body MRI. CoRR abs/2106.11731 (2021) - [i7]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 abs/2111.15471 (2021) - 2020
- [j5]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: 101745 (2020) - [j4]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): 1430-1437 (2020) - [c5]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: 602-611 - [c4]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: 10-15 - [i6]Taro Langner, Håkan Ahlström, Joel Kullberg:
Large-scale biometry with interpretable neural network regression on UK Biobank body MRI. CoRR abs/2002.06862 (2020) - [i5]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 abs/2006.06996 (2020) - [i4]Taro Langner, Robin Strand, Håkan Ahlström, Joel Kullberg:
Large-scale inference of liver fat with neural networks on UK Biobank body MRI. CoRR abs/2006.16777 (2020)
2010 – 2019
- 2018
- [i3]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 abs/1807.03122 (2018) - [i2]Simon Ekström, Filip Malmberg, Håkan Ahlström, Joel Kullberg, Robin Strand:
Fast Graph-Cut Based Optimization for Practical Dense Deformable Registration of Volume Images. CoRR abs/1810.08427 (2018) - [i1]Jonathan Andersson, Håkan Ahlström, Joel Kullberg:
Separation of water and fat signal in whole-body gradient echo scans using convolutional neural networks. CoRR abs/1812.04922 (2018) - 2017
- [j3]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): 36-44 (2017) - 2015
- [j2]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): 28-40 (2015) - 2013
- [j1]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: 355-360 (2013) - 2012
- [c3]Filip Malmberg, Robin Strand, Richard Nordenskjöld, Joel Kullberg:
Seeded segmentation based on object homogeneity. ICPR 2012: 21-24 - 2011
- [c2]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: 80-84 - 2010
- [c1]Joel Kullberg:
Whole-body MRI for analysis of body composition. ISBI 2010: 1065-1066
Coauthor Index
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last updated on 2024-10-24 20:31 CEST by the dblp team
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