Whole-body MRI for analysis of body composition. - Joel Kullberg (ISBI, 2010)

Signal modeling and the Cramér-Rao Bound for absolute Magnetic Resonance thermometry in fat tissue. - Marcus Bjork; Johan Berglund; Joel Kullberg; Petre Stoica (ACSCC, 2011)

Seeded segmentation based on object homogeneity. - Filip Malmberg; Robin Strand; Richard Nordenskjöld; Joel Kullberg (ICPR, 2012)

Intracranial volume estimated with commonly used methods could introduce bias in studies including brain volume measurements. - Richard Nordenskjöld; Filip Malmberg; Elna-Marie Larsson; Andrew Simmons 001; Samantha J. Brooks; Lars Lind; Håkan Ahlström; Lars Johansson; Joel Kullberg (NeuroImage, 2013)

Automated extraction and labelling of the arterial tree from whole-body MRA data. - Rahil Shahzad; Oleh Dzyubachyk; Marius Staring; Joel Kullberg; Lars Johansson; Håkan Ahlström; Boudewijn P. F. Lelieveldt; Rob J. van der Geest (Medical Image Anal., 2015)

SmartPaint: a tool for interactive segmentation of medical volume images. - Filip Malmberg; Richard Nordenskjöld; Robin Strand; Joel Kullberg (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2017)

Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI. - Taro Langner; Anders Hedström; Håkan Ahlström; Joel Kullberg; Katharina Paulmichl; Daniel Weghuber; Anders Forslund; Peter Bergsten (CoRR, 2018)

Separation of water and fat signal in whole-body gradient echo scans using convolutional neural networks. - Jonathan Andersson; Håkan Ahlström; Joel Kullberg (CoRR, 2018)

Large-Scale Inference of Liver Fat with Neural Networks on UK Biobank Body MRI. - Taro Langner; Robin Strand; Håkan Ahlström; Joel Kullberg (MICCAI (2), 2020)

Recent advances in large scale whole body MRI image analysis: Imiomics. - Robin Strand; Simon Ekström; Eva Breznik; Therese Sjöholm; Martino Pilia; Lars Lind; Filip Malmberg; Håkan Ahlström; Joel Kullberg (SIET, 2020)

Fast graph-cut based optimization for practical dense deformable registration of volume images. - Simon Ekström; Filip Malmberg; Håkan Ahlström; Joel Kullberg; Robin Strand (Comput. Medical Imaging Graph., 2020)

Large-scale biometry with interpretable neural network regression on UK Biobank body MRI. - Taro Langner; Håkan Ahlström; Joel Kullberg (CoRR, 2020)

Kidney segmentation in neck-to-knee body MRI of 40, 000 UK Biobank participants. - Taro Langner; Andreas Östling; Lukas Maldonis; Albin Karlsson; Daniel Olmo; Dag Lindgren; Andreas Wallin; Lowe Lundin; Robin Strand; Håkan Ahlström; Joel Kullberg (CoRR, 2020)

Identifying Morphological Indicators of Aging With Neural Networks on Large-Scale Whole-Body MRI. - Taro Langner; Johan Wikström; Tomas Bjerner; Håkan Ahlström; Joel Kullberg (IEEE Trans. Medical Imaging, 2020)

Uncertainty-aware body composition analysis with deep regression ensembles on UK Biobank MRI. - Taro Langner; Fredrik K. Gustafsson; Benny Avelin; Robin Strand; Håkan Ahlström; Joel Kullberg (Comput. Medical Imaging Graph., 2021)

Deep regression for uncertainty-aware and interpretable analysis of large-scale body MRI. - Taro Langner; Robin Strand; Håkan Ahlström; Joel Kullberg (CoRR, 2021)

MIMIR: Deep Regression for Automated Analysis of UK Biobank Body MRI. - Taro Langner; Andrés Martínez Mora; Robin Strand; Håkan Ahlström; Joel Kullberg (CoRR, 2021)

Robust and Automated Method for Spike Detection and Removal in Magnetic Resonance Imaging. - David S. Smith; Joel Kullberg; Johan Berglund; Malcolm J. Avison; E. Brian Welch (CoRR, 2021)

Introducing Spatial Context in Patch-Based Deep Learning for Semantic Segmentation in Whole Body MRI. - Eva Breznik; Joel Kullberg; Håkan Ahlström; Robin Strand (SCIA (2), 2023)

Automatic segmentation of large-scale CT image datasets for detailed body composition analysis. - Nouman Ahmad; Robin Strand; Björn Sparresäter; Sambit Tarai; Elin Lundström; Göran Bergström; Håkan Ahlström; Joel Kullberg (BMC Bioinform., 2023)

Leveraging Point Annotations in Segmentation Learning with Boundary Loss. - Eva Breznik; Hoel Kervadec; Filip Malmberg; Joel Kullberg; Håkan Ahlström; Marleen de Bruijne; Robin Strand (ICPR (13), 2024)

Automated Whole-Body PET/CT Lesion Tracking for Lesion-Wise Response Evaluation in Metastatic Breast Cancer. - Hanna Jönsson; Alexander Korenyushkin; Jasper J. L. van Geel; Bertha Eisses; Elisabeth G. E. de Vries; Carolina P. Schröder; Håkan Ahlström; Joel Kullberg (MICAD, 2024)

Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies. - Nouman Ahmad; Johan Öfverstedt; Sambit Tarai; Göran Bergström; Håkan Ahlström; Joel Kullberg (MIDL, 2024)

Prediction of Total Metabolic Tumor Volume from Tissue-Wise FDG-PET/CT Projections, Interpreted Using Cohort Saliency Analysis. - Sambit Tarai; Elin Lundström; Johan Öfverstedt; Hanna Jönsson; Nouman Ahmad; Håkan Ahlström; Joel Kullberg (MIUA (2), 2024)

A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms. - Johan Öfverstedt; Elin Lundström; Göran Bergström; Joel Kullberg; Håkan Ahlström (CoRR, 2024)

Towards prediction of morphological heart age from computed tomography angiography. - Johan Öfverstedt; Elin Lundström; Håkan Ahlström; Joel Kullberg (CoRR, 2025)