Research output per year
Research output per year
Personal profile
Research
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.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Classification of point-of-care ultrasound in breast imaging using deep learning
Karlsson, J., Arvidsson, I., Sahlin, F., Åström, K., Overgaard, N. C., Lång, K. & Heyden, A., 2023, Medical Imaging 2023: Computer-Aided Diagnosis. Iftekharuddin, K. M. & Chen, W. (eds.). SPIE, 124650Y. (Proceedings of SPIE; vol. 12465).Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
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Systematic Augmentation in HSV Space for Semantic Segmentation of Prostate Biopsies
Winzell, F., Arvidsson, I., Overgaard, N. C., Åström, K., Marginean, F-E., Bjartell, A., Krzyzanowska, A., Simoulis, A. & Heyden, A., 2023 Apr 26, Image Analysis: 23rd Scandinavian Conference, SCIA 2023, Proceedings, Part II. Springer, p. 293-308 (Lecture Notes in Computer Science; vol. 13886).Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
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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) In: Journal of Nuclear Cardiology.Research output: Contribution to journal › Article › 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 p.Research output: Chapter in Book/Report/Conference proceeding › Paper in conference 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, In: European Urology Focus. 7, 5, p. 995-1001Research output: Contribution to journal › Article › peer-review
Open Access
Projects
- 4 Active
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Data Driven Modeling of Alzheimer’s Disease using Imaging, Biomarkers and Cognitive Assessments
Karlsson, L., Hansson, O., Mattsson-Carlgren, N., Vogel, J., Arvidsson, I. & Åström, K.
2023/03/01 → 2027/03/01
Project: Dissertation
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Deep learning based evaluation of coronary artery disease and estimation of quantitative coronary angiography using myocardial perfusion imaging
Arvidsson, I., Ochoa-Figueroa, M., Åström, K., Heyden, A. & Overgaard, N. C.
2023/01/01 → 2024/12/31
Project: Research
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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
Project: Research
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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
Project: Research
Activities
- 1 Supervision of PhD students
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Improving Skin Cancer Diagnosis and Management in Teledermoscopy and Moh's Surgery
Kari Nielsen (First/primary/lead supervisor), Åsa Ingvar (Second supervisor) & Ida Arvidsson (Third supervisor)
2023 → 2031Activity: Examination and supervision › Supervision of PhD students
Prizes and Distinction
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Oscar II:s stipendium för bästa avhandling vid LTH, Lunds universitet
Arvidsson, Ida (Recipient), 2023 Apr 12
Prize: Prize (including medals and awards)
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IVAs 100-lista
Sahlin, Freja (Recipient), Lång, Kristina (Recipient), Arvidsson, Ida (Recipient) & Karlsson, Jennie (Recipient), 2023
Prize: Prize (including medals and awards)
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LU Innovation award
Lång, Kristina (Recipient), Sahlin, Freja (Recipient), Karlsson, Jennie (Recipient) & Arvidsson, Ida (Recipient), 2022
Prize: Prize (including medals and awards)