| Conditional random fields meet deep neural networks for semantic segmentation: Combining probabilistic graphical models with deep learning for structured prediction A Arnab, S Zheng, S Jayasumana, B Romera-Paredes, M Larsson, ... IEEE Signal Processing Magazine 35 (1), 37-52, 2018 | 144 | 2018 |
| Back to the Feature: Learning Robust Camera Localization from Pixels to Pose PE Sarlin, A Unagar, M Larsson, H Germain, C Toft, V Larsson, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 127 | 2021 |
| A cross-season correspondence dataset for robust semantic segmentation M Larsson, E Stenborg, L Hammarstrand, M Pollefeys, T Sattler, F Kahl Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 80 | 2019 |
| Robust abdominal organ segmentation using regional convolutional neural networks M Larsson, Y Zhang, F Kahl Applied Soft Computing 70, 465-471, 2018 | 69 | 2018 |
| Robust abdominal organ segmentation using regional convolutional neural networks M Larsson, Y Zhang, F Kahl Applied Soft Computing 70, 465-471, 2018 | 69 | 2018 |
| Fine-grained segmentation networks: Self-supervised segmentation for improved long-term visual localization M Larsson, E Stenborg, C Toft, L Hammarstrand, T Sattler, F Kahl Proceedings of the IEEE/CVF International Conference on Computer Vision, 31-41, 2019 | 60 | 2019 |
| A projected gradient descent method for crf inference allowing end-to-end training of arbitrary pairwise potentials M Larsson, A Arnab, F Kahl, S Zheng, P Torr Energy Minimization Methods in Computer Vision and Pattern Recognition: 11th …, 2018 | 35* | 2018 |
| Artificial intelligence‐based detection of lymph node metastases by PET/CT predicts prostate cancer‐specific survival P Borrelli, M Larsson, J Ulén, O Enqvist, E Trägårdh, MH Poulsen, ... Clinical Physiology and Functional Imaging 41 (1), 62-67, 2021 | 19 | 2021 |
| Deepseg: Abdominal organ segmentation using deep convolutional neural networks M Larsson, Y Zhang, F Kahl Swedish Symposium on Image Analysis 2016, 2016 | 16 | 2016 |
| Aortic wall segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head comparison of artificial intelligence-based versus manual segmentation R Piri, L Edenbrandt, M Larsson, O Enqvist, AH Nøddeskou-Fink, O Gerke, ... Journal of Nuclear Cardiology 29 (4), 2001-2010, 2022 | 11 | 2022 |
| “Global” cardiac atherosclerotic burden assessed by artificial intelligence-based versus manual segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head comparison R Piri, L Edenbrandt, M Larsson, O Enqvist, S Skovrup, KK Iversen, ... Journal of Nuclear Cardiology, 1-9, 2021 | 9 | 2021 |
| Artificial intelligence based automatic quantification of epicardial adipose tissue suitable for large scale population studies D Molnar, O Enqvist, J Ulén, M Larsson, J Brandberg, ÅA Johnsson, ... Scientific Reports 11 (1), 1-13, 2021 | 7 | 2021 |
| Analysis of mammograms using artificial intelligence to predict response to neoadjuvant chemotherapy in breast cancer patients: proof of concept I Skarping, M Larsson, D Förnvik European Radiology, 1-11, 2022 | 6 | 2022 |
| 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 | 6 | 2017 |
| Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference M Larsson, A Arnab, S Zheng, P Torr, F Kahl SIAM Journal on Imaging Sciences 11 (4), 2610-2628, 2018 | 5 | 2018 |
| PET/CT imaging of spinal inflammation and microcalcification in patients with low back pain: A pilot study on the quantification by artificial intelligence‐based segmentation R Piri, AH Nøddeskou‐Fink, O Gerke, M Larsson, L Edenbrandt, O Enqvist, ... Clinical Physiology and Functional Imaging 42 (4), 225-232, 2022 | 3 | 2022 |
| Does an ensemble of GANs lead to better performance when training segmentation networks with synthetic images? M Larsson, MU Akbar, A Eklund arXiv preprint arXiv:2211.04086, 2022 | 2 | 2022 |
| Estimering av snödjup genom analys av flervägsreflekterade GPS-signaler M Larsson, J Nordevall, R Sirefelt, E Staf Chalmers University of Technology, 2012 | 2 | 2012 |
| Common carotid segmentation in 18F‐sodium fluoride PET/CT scans: Head‐to‐head comparison of artificial intelligence‐based and manual method R Piri, Y Hamakan, A Vang, L Edenbrandt, M Larsson, O Enqvist, O Gerke, ... Clinical Physiology and Functional Imaging 43 (2), 71-77, 2023 | 1 | 2023 |
| Organ Finder a new AI-based organ segmentation tool for CT L Edenbrandt, O Enqvist, M Larsson, J Ulen medRxiv, 2022.11. 15.22282357, 2022 | 1 | 2022 |
