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2024
Mark Comparing a pre-defined versus deep learning approach for extracting brain atrophy patterns to predict cognitive decline due to Alzheimer’s disease in patients with mild cognitive symptoms
Arvidsson, Ida ^LU ; Strandberg, Olof ^LU ; Palmqvist, Sebastian ^LU ; Stomrud, Erik ^LU ; Cullen, Nicholas ^LU ; Janelidze, Shorena ^LU ; Tideman, Pontus ^LU ; Heyden, Anders ^LU ; Åström, Karl ^LU and Hansson, Oskar ^LU , et al. (2024) In Alzheimer's Research and Therapy 16(1).
- Contribution to journal › Article
Mark Artificial intelligence for detection of prostate cancer in biopsies during active surveillance
Arvidsson, Ida ^LU ; Svanemur, Edvard ; Marginean, Felicia ^LU ; Simoulis, Athanasios ^LU ; Overgaard, Niels Christian ^LU ; Åström, Kalle ^LU ; Heyden, Anders ^LU ; Krzyzanowska, Agnieszka ^LU and Bjartell, Anders ^LU (2024) In BJU International
- Contribution to journal › Article
2023
Mark Deep learning prediction of quantitative coronary angiography values using myocardial perfusion images with a CZT camera
Arvidsson, Ida ^LU ; Davidsson, Anette ; Overgaard, Niels Christian ^LU ; Pagonis, Christos ; Åström, Kalle ^LU ; Good, Elin ; Frias-Rose, Jeronimo ; Heyden, Anders ^LU and Ochoa-Figueroa, Miguel (2023) In Journal of Nuclear Cardiology 30(1). p.116-126
- Contribution to journal › Article
2021
Mark Accurate Indoor Positioning Based on Learned Absolute and Relative Models
Kjellson, Christoffer ; Larsson, Martin ^LU ; Astrom, Kalle ^LU and Oskarsson, Magnus ^LU (2021) 2021 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2021
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks
Arvidsson, Ida ^LU ; Overgaard, Niels Christian ^LU ; Davidsson, Anette ; Frias Rose, Jeronimo ; Aström, Kalle ^LU ; Ochoa Figueroa, Miguel and Heyden, Anders ^LU (2021) Medical Imaging 2021: Computer-Aided Diagnosis In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11597.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2019
Mark Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN
Tall, Kasper ; Arvidsson, Ida ^LU ; Overgaard, Niels Christian ^LU ; Åström, Karl ^LU and Heyden, Anders ^LU (2019) Medical Imaging 2019: Physics of Medical Imaging 10956.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Comparison of different augmentation techniques for improved generalization performance for gleason grading
Arvidsson, Ida ^LU ; Overgaard, Niels Christian ^LU ; Astrom, Kalle ^LU and Heyden, Anders ^LU (2019) 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 p.923-927
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2017
Mark Automatic Gleason grading of H&E stained microscopic prostate images using deep convolutional neural networks
Gummeson, Anna ; Arvidsson, Ida ^LU ; Ohlsson, Mattias ^LU ; Overgaard, Niels C. ^LU ; Krzyzanowska, Agnieszka ^LU ; Heyden, Anders ^LU ; Bjartell, Anders ^LU and Aström, Kalle ^LU (2017) Medical Imaging 2017: Digital Pathology 10140.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2016
Mark Towards Grading Gleason Score using Generically Trained Deep convolutional Neural Networks
Källén, Hanna ^LU ; Molin, Jesper ; Heyden, Anders ^LU ; Lundström, Claes and Åström, Karl ^LU (2016) 2016 IEEE International Symposium on Biomedical Imaging p.1163-1167
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding

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