| Automatic pericardium segmentation and quantification of epicardial fat from computed tomography angiography A Norlén, J Alvén, D Molnar, O Enqvist, RR Norrlund, J Brandberg, ... Journal of Medical Imaging 3 (3), 034003-034003, 2016 | 32 | 2016 |
| Good Features for Reliable Registration in Multi-Atlas Segmentation. F Kahl, J Alvén, O Enqvist, F Fejne, J Ulén, J Fredriksson, M Landgren, ... VISCERAL Challenge@ ISBI, 12-17, 2015 | 19 | 2015 |
| Überatlas: fast and robust registration for multi-atlas segmentation J Alvén, A Norlén, O Enqvist, F Kahl Pattern Recognition Letters 80, 249-255, 2016 | 16 | 2016 |
| A deep learning approach to MR-less spatial normalization for Tau PET images J Alvén, K Heurling, R Smith, O Strandberg, M Schöll, O Hansson, F Kahl Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 9 | 2019 |
| Semi-supervised learning with natural language processing for right ventricle classification in echocardiography—A scalable approach E Hagberg, D Hagerman, R Johansson, N Hosseini, J Liu, E Björnsson, ... Computers in Biology and Medicine 143, 105282, 2022 | 8 | 2022 |
| Shape-aware label fusion for multi-atlas frameworks J Alvén, F Kahl, M Landgren, V Larsson, J Ulén, O Enqvist Pattern Recognition Letters 124, 109-117, 2019 | 8 | 2019 |
| Max-margin learning of deep structured models for semantic segmentation M Larsson, J Alvén, F Kahl Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway …, 2017 | 7 | 2017 |
| Überatlas: Robust speed-up of feature-based registration and multi-atlas segmentation J Alvén, A Norlén, O Enqvist, F Kahl Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark …, 2015 | 6 | 2015 |
| Development of a novel method to measure bone marrow fat fraction in older women using high-resolution peripheral quantitative computed tomography A Flehr, J Källgård, J Alvén, K Lagerstrand, E Papalini, M Wheeler, ... Osteoporosis International 33 (7), 1545-1556, 2022 | 5 | 2022 |
| Improving multi-atlas segmentation methods for medical images J Alvén PQDT-Global, 2017 | 5 | 2017 |
| Shape-aware multi-atlas segmentation J Alvén, F Kahl, M Landgren, V Larsson, J Ulén 2016 23rd International Conference on Pattern Recognition (Icpr), 1101-1106, 2016 | 4 | 2016 |
| Multiatlas segmentation using robust feature-based registration F Fejne, M Landgren, J Alvén, J Ulén, J Fredriksson, V Larsson, O Enqvist, ... Cloud-based benchmarking of medical image analysis, 203-218, 2017 | 3 | 2017 |
| Deep learning for [18F] fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis I Häggström, D Leithner, J Alvén, G Campanella, M Abusamra, H Zhang, ... The Lancet Digital Health 6 (2), e114-e125, 2024 | 2 | 2024 |
| High-quality annotations for deep learning enabled plaque analysis in SCAPIS cardiac computed tomography angiography E Fagman, J Alvén, J Westerbergh, P Kitslaar, M Kercsik, K Cederlund, ... Heliyon 9 (5), 2023 | 1 | 2023 |
| Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification VW Skärström, L Johansson, J Alvén, M Lorentzon, I Häggström arXiv preprint arXiv:2407.02926, 2024 | | 2024 |
| Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification V Wåhlstrand Skärström, L Johansson, J Alvén, M Lorentzon, I Häggström arXiv e-prints, arXiv: 2407.02926, 2024 | | 2024 |
| NoiseNet, a fully automatic noise assessment tool that can identify non-diagnostic CCTA examinations E Palmquist, J Alvén, M Kercsik, M Larsson, N Lundqvist, O Hjelmgren, ... The International Journal of Cardiovascular Imaging, 1-8, 2024 | | 2024 |
| A deep multi-stream model for robust prediction of left ventricular ejection fraction in 2D echocardiography J Alvén, E Hagberg, D Hagerman, R Petersen, O Hjelmgren Scientific Reports 14 (1), 2104, 2024 | | 2024 |
| Deep learning for [¹⁸F] fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis I Häggström, D Leithner, J Alvén, G Campanella, M Abusamra, H Zhang, ... | | 2023 |
| Deep Nearest Neighbors for Anomaly Detection in Chest X-Rays X Liu, J Alvén, I Häggström, C Zach International Workshop on Machine Learning in Medical Imaging, 293-302, 2023 | | 2023 |
Fredrik KahlProfessor, Chalmers University of Technology在 chalmers.se 的电子邮件经过验证
