Håkan Ahlström

26 papers Journal 19Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Tissue-mask supported inter-subject whole-body image registration in the UK Biobank - A method benchmarking study. CoRR Yasemin Utkueri, Elin Lundström, Håkan Ahlström, Johan Öfverstedt, Joel Kullberg
2025	J	`jnl`	Towards prediction of morphological heart age from computed tomography angiography. CoRR Johan Öfverstedt, Elin Lundström, Håkan Ahlström, Joel Kullberg
2024	J	`jnl`	A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms. CoRR Johan Öfverstedt, Elin Lundström, Göran Bergström, Joel Kullberg, Håkan Ahlström
2024	—	`conf`	Automated Whole-Body PET/CT Lesion Tracking for Lesion-Wise Response Evaluation in Metastatic Breast Cancer. MICAD Hanna Jönsson, Alexander Korenyushkin, Jasper J. L. van Geel, Bertha Eisses, Elisabeth G. E. de Vries, Carolina P. Schröder, Håkan Ahlström, Joel Kullberg
2024	—	`conf`	Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies. MIDL Nouman Ahmad, Johan Öfverstedt, Sambit Tarai, Göran Bergström, Håkan Ahlström, Joel Kullberg
2024	—	`conf`	Leveraging Point Annotations in Segmentation Learning with Boundary Loss. ICPR (13) Eva Breznik, Hoel Kervadec, Filip Malmberg, Joel Kullberg, Håkan Ahlström, Marleen de Bruijne, Robin Strand
2024	—	`conf`	Prediction of Total Metabolic Tumor Volume from Tissue-Wise FDG-PET/CT Projections, Interpreted Using Cohort Saliency Analysis. MIUA (2) Sambit Tarai, Elin Lundström, Johan Öfverstedt, Hanna Jönsson, Nouman Ahmad, Håkan Ahlström, Joel Kullberg
2023	J	`jnl`	Automatic segmentation of large-scale CT image datasets for detailed body composition analysis. BMC Bioinform. Nouman Ahmad, Robin Strand, Björn Sparresäter, Sambit Tarai, Elin Lundström, Göran Bergström, Håkan Ahlström, Joel Kullberg
2023	—	`conf`	Introducing Spatial Context in Patch-Based Deep Learning for Semantic Segmentation in Whole Body MRI. SCIA (2) Eva Breznik, Joel Kullberg, Håkan Ahlström, Robin Strand
2023	J	`jnl`	Leveraging point annotations in segmentation learning with boundary loss. CoRR Eva Breznik, Hoel Kervadec, Filip Malmberg, Joel Kullberg, Håkan Ahlström, Marleen de Bruijne, Robin Strand
2021	J	`jnl`	Deep regression for uncertainty-aware and interpretable analysis of large-scale body MRI. CoRR Taro Langner, Robin Strand, Håkan Ahlström, Joel Kullberg
2021	J	`jnl`	MIMIR: Deep Regression for Automated Analysis of UK Biobank Body MRI. CoRR Taro Langner, Andrés Martínez Mora, Robin Strand, Håkan Ahlström, Joel Kullberg
2021	J	`jnl`	Uncertainty-Aware Body Composition Analysis with Deep Regression Ensembles on UK Biobank MRI. CoRR Taro Langner, Fredrik K. Gustafsson, Benny Avelin, Robin Strand, Håkan Ahlström, Joel Kullberg
2021	J	`jnl`	Uncertainty-aware body composition analysis with deep regression ensembles on UK Biobank MRI. Comput. Medical Imaging Graph. Taro Langner, Fredrik K. Gustafsson, Benny Avelin, Robin Strand, Håkan Ahlström, Joel Kullberg
2020	J	`jnl`	Fast graph-cut based optimization for practical dense deformable registration of volume images. Comput. Medical Imaging Graph. Simon Ekström, Filip Malmberg, Håkan Ahlström, Joel Kullberg, Robin Strand
2020	J	`jnl`	Identifying Morphological Indicators of Aging With Neural Networks on Large-Scale Whole-Body MRI. IEEE Trans. Medical Imaging Taro Langner, Johan Wikström, Tomas Bjerner, Håkan Ahlström, Joel Kullberg
2020	J	`jnl`	Kidney segmentation in neck-to-knee body MRI of 40, 000 UK Biobank participants. CoRR Taro Langner, Andreas Östling, Lukas Maldonis, Albin Karlsson, Daniel Olmo, Dag Lindgren, Andreas Wallin, Lowe Lundin, Robin Strand, Håkan Ahlström, Joel Kullberg
2020	—	`conf`	Large-Scale Inference of Liver Fat with Neural Networks on UK Biobank Body MRI. MICCAI (2) Taro Langner, Robin Strand, Håkan Ahlström, Joel Kullberg
2020	J	`jnl`	Large-scale biometry with interpretable neural network regression on UK Biobank body MRI. CoRR Taro Langner, Håkan Ahlström, Joel Kullberg
2020	J	`jnl`	Large-scale inference of liver fat with neural networks on UK Biobank body MRI. CoRR Taro Langner, Robin Strand, Håkan Ahlström, Joel Kullberg
2020	—	`conf`	Recent advances in large scale whole body MRI image analysis: Imiomics. SIET Robin Strand, Simon Ekström, Eva Breznik, Therese Sjöholm, Martino Pilia, Lars Lind, Filip Malmberg, Håkan Ahlström, Joel Kullberg
2018	J	`jnl`	Fast Graph-Cut Based Optimization for Practical Dense Deformable Registration of Volume Images. CoRR Simon Ekström, Filip Malmberg, Håkan Ahlström, Joel Kullberg, Robin Strand
2018	J	`jnl`	Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI. CoRR Taro Langner, Anders Hedström, Håkan Ahlström, Joel Kullberg, Katharina Paulmichl, Daniel Weghuber, Anders Forslund, Peter Bergsten
2018	J	`jnl`	Separation of water and fat signal in whole-body gradient echo scans using convolutional neural networks. CoRR Jonathan Andersson, Håkan Ahlström, Joel Kullberg
2015	J	`jnl`	Automated extraction and labelling of the arterial tree from whole-body MRA data. Medical Image Anal. Rahil Shahzad, Oleh Dzyubachyk, Marius Staring, Joel Kullberg, Lars Johansson, Håkan Ahlström, Boudewijn P. F. Lelieveldt, Rob J. van der Geest
2013	J	`jnl`	Intracranial volume estimated with commonly used methods could introduce bias in studies including brain volume measurements. NeuroImage Richard Nordenskjöld, Filip Malmberg, Elna-Marie Larsson, Andrew Simmons, Samantha J. Brooks, Lars Lind, Håkan Ahlström, Lars Johansson, Joel Kullberg