Forskningsoutput per år
Forskningsoutput per år
Personlig profil
Forskning
Ida Arvidsson received her M.Sc. degree in Engineering Physics in 2016 and Ph.D. degree in Mathematics in 2021 from Lund University, Sweden. She is currently a postdoctoral research fellow at the Centre for Mathematical Sciences, Lund University.
Her research interest is mainly machine learning with a focus on deep learning and medical applications, including histopathology (prostate cancer grading), radiology (coronary artery disease detection, breast cancer detection and prediction of Alzheimer's disease) and dermatology.
Fingeravtryck
Utforska forskningsämnen där Ida Arvidsson är aktiv. Dessa ämnesetiketter kommer från personens arbeten. Tillsammans bildar de ett unikt fingeravtryck.
- 1 Liknande profiler
Nätverk
Externa samarbeten med länder/områden de senaste 5 åren
Forskningsoutput
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Deep learning prediction of quantitative coronary angiography values using myocardial perfusion images with a CZT camera
Arvidsson, I., Davidsson, A., Overgaard, N. C., Pagonis, C., Åström, K., Good, E., Frias-Rose, J., Heyden, A. & Ochoa-Figueroa, M., 2022, (Accepted/In press) I: Journal of Nuclear Cardiology.Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review
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Machine learning algorithm for classification of breast ultrasound images
Karlsson, J., Ramkull, J., Arvidsson, I., Heyden, A., Åström, K., Overgaard, N. C. & Lång, K., 2022 apr. 4, Medical Imaging 2022: Computer-Aided Diagnosis. SPIE, Vol. 12033. 11 s.Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review
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An Artificial Intelligence-based Support Tool for Automation and Standardisation of Gleason Grading in Prostate Biopsies
Marginean, F., Arvidsson, I., Simoulis, A., Christian Overgaard, N., Åström, K., Heyden, A., Bjartell, A. & Krzyzanowska, A., 2021, I: European Urology Focus. 7, 5, s. 995-1001Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review
Öppen tillgång -
Applications of Deep Learning in Medical Image Analysis: Grading of Prostate Cancer and Detection of Coronary Artery Disease
Arvidsson, I., 2021, Lund University / Centre for Mathematical Sciences /LTH. 171 s.Forskningsoutput: Avhandling › Doktorsavhandling (monografi)
Öppen tillgångFil554 Nedladdningar (Pure) -
Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks
Arvidsson, I., Overgaard, N. C., Davidsson, A., Frias Rose, J., Aström, K., Ochoa Figueroa, M. & Heyden, A., 2021, Medical Imaging 2021: Computer-Aided Diagnosis. Mazurowski, M. A. & Drukker, K. (red.). SPIE, 115970N. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11597).Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review
Projekt
- 2 Aktiva
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eSSENCE@LU 8:7 - Breast cancer diagnosis using pocket-sized ultrasound device and Deep Learning
Heyden, A., Lång, K., Karlsson, J., Arvidsson, I., Overgaard, N. C. & Åström, K.
2022/01/01 → 2023/12/31
Projekt: Forskning
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23°N - Tropic of Cancer, accessible breast diagnostics for global health
Lång, K., Sahlin, F., Arvidsson, I. & Karlsson, J.
2022/01/01 → 2024/12/31
Projekt: Forskning
Aktiviteter
- 1 Handledning av forskarstuderande
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Improving Skin Cancer Diagnosis and Management in Teledermoscopy and Moh's Surgery
Kari Nielsen (Första/primär/huvudhandledare), Åsa Ingvar (Andra handledare) & Ida Arvidsson (Tredje handledare)
2023 → 2031Aktivitet: Examination och handledarskap › Handledning av forskarstuderande