| Fully convolutional networks for automated segmentation of abdominal adipose tissue depots in multicenter water–fat MRI T Langner, A Hedström, K Mörwald, D Weghuber, A Forslund, P Bergsten, ... Magnetic resonance in medicine 81 (4), 2736-2745, 2019 | 50 | 2019 |
| Kidney segmentation in neck-to-knee body MRI of 40,000 UK Biobank participants T Langner, A Östling, L Maldonis, A Karlsson, D Olmo, D Lindgren, ... Scientific reports 10 (1), 20963, 2020 | 27 | 2020 |
| Large-scale biometry with interpretable neural network regression on UK Biobank body MRI T Langner, R Strand, H Ahlström, J Kullberg Scientific reports 10 (1), 17752, 2020 | 27 | 2020 |
| Identifying morphological indicators of aging with neural networks on large-scale whole-body MRI T Langner, J Wikström, T Bjerner, H Ahlström, J Kullberg IEEE transactions on medical imaging 39 (5), 1430-1437, 2019 | 22 | 2019 |
| Uncertainty-aware body composition analysis with deep regression ensembles on uk biobank mri T Langner, FK Gustafsson, B Avelin, R Strand, H Ahlström, J Kullberg Computerized Medical Imaging and Graphics 93 (0895-6111), 101994, 2021 | 13 | 2021 |
| Large-scale inference of liver fat with neural networks on uk biobank body mri T Langner, R Strand, H Ahlström, J Kullberg International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 8 | 2020 |
| MIMIR: deep regression for automated analysis of UK biobank MRI scans T Langner, A Martínez Mora, R Strand, H Ahlström, J Kullberg Radiology: Artificial Intelligence 4 (3), e210178, 2022 | 5 | 2022 |
| Deep regression for uncertainty-aware and interpretable analysis of large-scale body MRI T Langner, R Strand, H Ahlström, J Kullberg Swedish Symposium on Deep Learning 2021, arXiv preprint arXiv:2105.07797, 2021 | 2 | 2021 |
| Deep Regression and Segmentation for Medical Inference from Large-Scale Magnetic Resonance Imaging T Langner Acta Universitatis Upsaliensis, 2021 | 1 | 2021 |
| Automated liver volume measurements in more than 35,000 subjects from neck-to-knee mri in uk-biobank MM Andres, T Langner, A Korenyushkin, D Olmo, A Karlsson, H Ahlstrom, ... HEPATOLOGY 72, 895A-895A, 2020 | 1 | 2020 |
| Machine Learning Techniques for MRI Data Processing at Expanding Scale T Langner ArXiv Book Chapter Preprint, 2024 | | 2024 |
| Spleen volume is independently associated with non-alcoholic fatty liver disease, liver volume and liver fibrosis S Helgesson, S Tarai, T Langner, H Ahlström, L Johansson, J Kullberg, ... Heliyon, 2024 | | 2024 |
| Erratum for: MIMIR: Deep Regression for Automated Analysis of UK Biobank MRI Scans T Langner, AM Mora, R Strand, H Ahlström, J Kullberg Radiology: Artificial Intelligence 4 (4), e229001, 2022 | | 2022 |
| The association of spleen volume with sex, age, type 2-diabetes, and non-alcoholic fatty liver disease-initial results from more than 35, 000 UK Biobank participants S Helgesson, S Tarai, T Langner, H Ahlström, L Johansson, J Kullberg, ... Journal of Hepatology 77, S683-S684, 2022 | | 2022 |
| Genetics of liver fat and volume associate with altered metabolism and whole body magnetic resonance imaging S Ahmad, G Carrasquilla, T Langner, U Menzel, F Malmberg, U Hammar, ... Journal of Hepatology 77, S40-S40, 2022 | | 2022 |
| MIMIR: Deep Regression for Automated Analysis of UK Biobank Body MRI T Langner, AM Mora, R Strand, H Ahlström, J Kullberg arXiv preprint arXiv:2106.11731, 2021 | | 2021 |
| AGE-RELATED PATTERNS OF KIDNEY PARENCHIMAL VOLUME IN T1D, T2D AND DIFFERENT TREATMENT GROUPS OF T2D: A CROSS-SECTIONAL STUDY OF 35,703 UK BIOBANK PARTICIPANTS AM Mora, E Lundstrom, T Langner, P Hockings, L Johansson, H Ahlstrom, ... NEPHROLOGY DIALYSIS TRANSPLANTATION 36, 2021 | | 2021 |
| MO621 AGE-RELATED PATTERNS OF KIDNEY PARENCHIMAL VOLUME IN T1D, T2D AND DIFFERENT TREATMENT GROUPS OF T2D: A CROSS-SECTIONAL STUDY OF 35,703 UK BIOBANK PARTICIPANTS A Martínez Mora, E Lundström, T Langner, P Hockings, L Johansson, ... Nephrology Dialysis Transplantation 36 (Supplement_1), gfab093. 002, 2021 | | 2021 |
| THE AGING LIVER-LARGE-SCALE ANALYSIS OF LIVER FAT AND LIVER VOLUME IN RELATION TO AGE, SEX, AND DIABETES IN UK BIOBANK-INITIAL RESULTS J Kullberg, T Langner, AM Mora, H Ahlström, L Johansson The Liver Meeting Digital Experience™, 2020 | | 2020 |
| The Aging Kidney: Renal Parenchymal Volumes from MRI, a Comparison Between Type 2 Diabetes and Non-Type 2 Diabetes in 37,450 UK Biobank Participants L Johansson, T Langner, P Hockings, L Jarl, L Maldonis, T Fall, ... American Society of Nephrology, Kidney Week, Abstract: PO0960, 2020 | | 2020 |
Joel KullbergUppsala UniversityBestätigte E-Mail-Adresse bei radiol.uu.se
