Search Results - "Larsson, Måns"

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    Robust abdominal organ segmentation using regional convolutional neural networks by Larsson, Måns, Zhang, Yuhang, Kahl, Fredrik

    Published in Applied soft computing (01-09-2018)
    “…[Display omitted] •A fully automatic system for abdominal organ segmentation is presented.•Regional convolutional neural networks are used for organwise…”
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    Journal Article
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    Deep learning analysis of serial digital breast tomosynthesis images in a prospective cohort of breast cancer patients who received neoadjuvant chemotherapy by Förnvik, Daniel, Borgquist, Signe, Larsson, Måns, Zackrisson, Sophia, Skarping, Ida

    Published in European journal of radiology (01-09-2024)
    “…•Novel study to apply AI to breast tomosynthesis for treatment response prediction.•AI model shows high discriminative performance (AUC 0.83) for response…”
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    Journal Article
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    Artificial intelligence based automatic quantification of epicardial adipose tissue suitable for large scale population studies by Molnar, David, Enqvist, Olof, Ulén, Johannes, Larsson, Måns, Brandberg, John, Johnsson, Åse A., Björnson, Elias, Bergström, Göran, Hjelmgren, Ola

    Published in Scientific reports (13-12-2021)
    “…To develop a fully automatic model capable of reliably quantifying epicardial adipose tissue (EAT) volumes and attenuation in large scale population studies to…”
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    Journal Article
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    Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models by Usman Akbar, Muhammad, Larsson, Måns, Blystad, Ida, Eklund, Anders

    Published in Scientific data (29-02-2024)
    “…Large annotated datasets are required for training deep learning models, but in medical imaging data sharing is often complicated due to ethics, anonymization…”
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    Journal Article
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    Improving sensitivity through data augmentation with synthetic lymph node metastases for AI‐based analysis of PSMA PET‐CT images by Trägårdh, Elin, Ulén, Johannes, Enqvist, Olof, Edenbrandt, Lars, Larsson, Måns

    Published in Clinical physiology and functional imaging (01-07-2024)
    “…Background We developed a fully automated artificial intelligence (AI)AI‐based‐based method for detecting suspected lymph node metastases in prostate‐specific…”
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    Journal Article
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    Pre-diabetes is associated with attenuation rather than volume of epicardial adipose tissue on computed tomography by Molnar, David, Björnson, Elias, Larsson, Måns, Adiels, Martin, Gummesson, Anders, Bäckhed, Fredrik, Hjelmgren, Ola, Bergström, Göran

    Published in Scientific reports (28-01-2023)
    “…The volume of epicardial adipose tissue (EATV) is increased in type-2 diabetes (T2D), while its attenuation (EATA) appears to be decreased. Similar patterns…”
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    Journal Article
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    NoiseNet, a fully automatic noise assessment tool that can identify non-diagnostic CCTA examinations by Palmquist, Emma, Alvén, Jennifer, Kercsik, Michael, Larsson, Måns, Lundqvist, Niklas, Hjelmgren, Ola, Fagman, Erika

    “…Image noise and vascular attenuation are important factors affecting image quality and diagnostic accuracy of coronary computed tomography angiography (CCTA)…”
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    Journal Article
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    Alluvial aquifer thickness and bedrock structure delineation by electromagnetic methods in the highlands of Bolivia by Gómez, Etzar, Larsson, Måns, Dahlin, Torleif, Barmen, Gerhard, Rosberg, Jan-Erik

    Published in Environmental earth sciences (01-02-2019)
    “…The porous aquifers in the area called Challapampa are the most important groundwater reservoirs that supply drinking water to Oruro city in the highlands of…”
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    Journal Article
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    Manual prostate MRI segmentation by readers with different experience: a study of the learning progress by Langkilde, Fredrik, Masaba, Patrick, Edenbrandt, Lars, Gren, Magnus, Halil, Airin, Hellström, Mikael, Larsson, Måns, Naeem, Ameer Ali, Wallström, Jonas, Maier, Stephan E., Jäderling, Fredrik

    Published in European radiology (2024)
    “…Objective To evaluate the learning progress of less experienced readers in prostate MRI segmentation. Materials and methods One hundred bi-parametric prostate…”
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    Journal Article
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    Automated quantification of PET/CT skeletal tumor burden in prostate cancer using artificial intelligence: The PET index by Lindgren Belal, Sarah, Larsson, Måns, Holm, Jorun, Buch-Olsen, Karen Middelbo, Sörensen, Jens, Bjartell, Anders, Edenbrandt, Lars, Trägårdh, Elin

    “…Purpose Consistent assessment of bone metastases is crucial for patient management and clinical trials in prostate cancer (PCa). We aimed to develop a fully…”
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    Journal Article
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    Common carotid segmentation in 18F‐sodium fluoride PET/CT scans: Head‐to‐head comparison of artificial intelligence‐based and manual method by Piri, Reza, Hamakan, Yaran, Vang, Ask, Edenbrandt, Lars, Larsson, Måns, Enqvist, Olof, Gerke, Oke, Høilund‐Carlsen, Poul Flemming

    Published in Clinical physiology and functional imaging (01-03-2023)
    “…Background Carotid atherosclerosis is a major cause of stroke, traditionally diagnosed late. Positron emission tomography/computed tomography (PET/CT) with…”
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    Journal Article
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    Aortic wall segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head comparison of artificial intelligence-based versus manual segmentation by Piri, Reza, Edenbrandt, Lars, Larsson, Måns, Enqvist, Olof, Nøddeskou-Fink, Amalie Horstmann, Gerke, Oke, Høilund-Carlsen, Poul Flemming

    Published in Journal of nuclear cardiology (01-08-2022)
    “…We aimed to establish and test an automated AI-based method for rapid segmentation of the aortic wall in positron emission tomography/computed tomography…”
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    Journal Article
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    Back to the Feature: Learning Robust Camera Localization from Pixels to Pose by Sarlin, Paul-Edouard, Unagar, Ajaykumar, Larsson, Mans, Germain, Hugo, Toft, Carl, Larsson, Viktor, Pollefeys, Marc, Lepetit, Vincent, Hammarstrand, Lars, Kahl, Fredrik, Sattler, Torsten

    “…Camera pose estimation in known scenes is a 3D geometry task recently tackled by multiple learning algorithms. Many regress precise geometric quantities, like…”
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    Conference Proceeding
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    A Cross-Season Correspondence Dataset for Robust Semantic Segmentation by Mans Larsson, Mans, Stenborg, Erik, Hammarstrand, Lars, Pollefeys, Marc, Sattler, Torsten, Kahl, Fredrik

    “…In this paper, we present a method to utilize 2D-2D point matches between images taken during different image conditions to train a convolutional neural…”
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    Conference Proceeding
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    Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization by Larsson, Mans, Stenborg, Erik, Toft, Carl, Hammarstrand, Lars, Sattler, Torsten, Kahl, Fredrik

    “…Long-term visual localization is the problem of estimating the camera pose of a given query image in a scene whose appearance changes over time. It is an…”
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    Conference Proceeding
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