| Generalization of prostate cancer classification for multiple sites using deep learning I Arvidsson, NC Overgaard, FE Marginean, A Krzyzanowska, A Bjartell, ... 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 35 | 2018 |
| Automatic Gleason grading of H and E stained microscopic prostate images using deep convolutional neural networks A Gummeson, I Arvidsson, M Ohlsson, NC Overgaard, A Krzyzanowska, ... Medical Imaging 2017: Digital Pathology 10140, 196-202, 2017 | 30 | 2017 |
| An artificial intelligence–based support tool for automation and standardisation of Gleason grading in prostate biopsies F Marginean, I Arvidsson, A Simoulis, NC Overgaard, K Åström, A Heyden, ... European Urology Focus 7 (5), 995-1001, 2021 | 23 | 2021 |
| Semantic segmentation of microscopic images of H&E stained prostatic tissue using CNN J Isaksson, I Arvidsson, K Åaström, A Heyden 2017 International Joint Conference on Neural Networks (IJCNN), 1252-1256, 2017 | 21 | 2017 |
| Comparison of different augmentation techniques for improved generalization performance for gleason grading I Arvidsson, NC Overgaard, K Åström, A Heyden 2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019 | 10 | 2019 |
| Prediction of obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks I Arvidsson, NC Overgaard, K Åström, A Heyden, MO Figueroa, JF Rose, ... 2020 25th International Conference on Pattern Recognition (ICPR), 4442-4449, 2021 | 6 | 2021 |
| Classification of point-of-care ultrasound in breast imaging using deep learning J Karlsson, I Arvidsson, F Sahlin, K Åström, NC Overgaard, K Lång, ... Medical Imaging 2023: Computer-Aided Diagnosis 12465, 192-200, 2023 | 4 | 2023 |
| Machine learning algorithm for classification of breast ultrasound images J Karlsson, J Ramkull, I Arvidsson, A Heyden, K Åström, NC Overgaard, ... Medical Imaging 2022: Computer-Aided Diagnosis 12033, 487-497, 2022 | 3 | 2022 |
| Deep learning prediction of quantitative coronary angiography values using myocardial perfusion images with a CZT camera I Arvidsson, A Davidsson, NC Overgaard, C Pagonis, K Åström, E Good, ... Journal of Nuclear Cardiology 30 (1), 116-126, 2023 | 2 | 2023 |
| Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks I Arvidsson, NC Overgaard, A Davidsson, JF Rose, K Aström, ... Medical Imaging 2021: Computer-Aided Diagnosis 11597, 154-160, 2021 | 2 | 2021 |
| Cerebrospinal fluid reference proteins increase accuracy and interpretability of biomarkers for brain diseases L Karlsson, J Vogel, I Arvidsson, K Åström, S Janelidze, K Blennow, ... bioRxiv, 2023.06. 08.544222, 2023 | 1 | 2023 |
| Domain-adversarial neural network for improved generalization performance of Gleason grade classification I Arvidsson, NC Overgaard, A Krzyzanowska, FE Marginean, A Simoulis, ... Medical Imaging 2020: Digital Pathology 11320, 284-289, 2020 | 1 | 2020 |
| 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 … I Arvidsson, O Strandberg, S Palmqvist, E Stomrud, N Cullen, S Janelidze, ... Alzheimer's Research & Therapy 16 (1), 61, 2024 | | 2024 |
| Adjusting for CSF Reference Proteins Improves Biomarker Accuracy L Karlsson, I Arvidsson, K Åstr, S Janelidze, S Palmqvist, E Stomrud, ... Alzheimer's & Dementia 19, e074764, 2023 | | 2023 |
| Systematic Augmentation in HSV Space for Semantic Segmentation of Prostate Biopsies F Winzell, I Arvidsson, NC Overgaard, K Åström, FE Marginean, A Bjartell, ... Scandinavian Conference on Image Analysis, 293-308, 2023 | | 2023 |
| Applications of Deep Learning in Medical Image Analysis: Grading of Prostate Cancer and Detection of Coronary Artery Disease I Arvidsson Lund University, 2021 | | 2021 |
| Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN K Tall, I Arvidsson, NC Overgaard, K Aström, A Heyden Medical Imaging 2019: Digital Pathology 10956, 57-62, 2019 | | 2019 |
| Heterogeneous Multi-Sensor Camera I Arvidsson, J Henriksson LRAP 513, 2016 | | 2016 |
| Towards Super Supervision M Oskarsson, V Larsson, C Olsson, NC Overgaard, I Arvidsson, G Flood, ... | | |
Kalle ÅströmProfessor, Centre for Mathematical Sciences, Lund University, SwedenVerifierad e-postadress på maths.lth.se
