Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Jennie Karlsson is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Breast cancer classification in point-of-care ultrasound imaging—the impact of training data
Karlsson, J., Arvidsson, I., Sahlin, F., Åström, K., Overgaard, N. C., Lång, K. & Heyden, A., 2025 Jan 1, In: Journal of Medical Imaging. 12, 1, p. 1-16 014502.Research output: Contribution to journal › Article › peer-review
Open Access -
Towards Out-of-Distribution Detection for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
Karlsson, J., Wodrich, M., Overgaard, N. C., Sahlin, F., Lång, K., Heyden, A. & Arvidsson, I., 2025, Pattern Recognition - 27th International Conference, ICPR 2024, Proceedings, Part XIII. Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, C.-L., Bhattacharya, S. & Pal, U. (eds.). Springer Science and Business Media B.V., p. 49-63 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15313 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
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Trustworthiness for Deep Learning Based Breast Cancer Detection Using Point-of-Care Ultrasound Imaging in Low-Resource Settings
Wodrich, M., Karlsson, J., Lång, K. & Arvidsson, I., 2025, Medical Information Computing: First MICCAI Meets Africa Workshop, MImA 2024, and First MICCAI Student Board Workshop on Empowering Medical Information Computing and Research through Early-Career Expertise, EMERGE 2024, Held in Conjunction with MICCAI 2024, Revised Selected Papers. Anazodo, U., Akash, N., Fuchs, M., Cintas, C., Crimi, A., Mutsvangwa, T., Dako, F. & Ogallo, W. (eds.). Springer Science and Business Media B.V., p. 42-51 (Communications in Computer and Information Science; vol. 2240).Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
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Deep Learning for Breast Cancer Detection in Ultrasound Imaging: Classification, Managing Data Scarcity and Detecting Out-of-Distribution Samples
Karlsson, J., 2024, Lund University / Centre for Mathematical Sciences /LTH.Research output: Thesis › Licentiate Thesis
File40 Downloads (Pure) -
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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Breast Point-of-Care Examination Trial
Lång, K. (Researcher), Schmidt, D. (Researcher), Arvidsson, I. (Researcher), Karlsson, J. (Researcher) & Hagberg, O. (Researcher)
2025/04/07 → 2026/08/31
Project: Research
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eSSENCE@LU 10:7 - Breast cancer diagnostics in low-resource settings using point-of-care ultrasound and deep learning
Lång, K. (PI), Arvidsson, I. (Researcher), Karlsson, J. (Research student) & Lundin, J. (Researcher)
2024/01/01 → 2025/12/31
Project: Research
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Breast Cancer Diagnostics in Low Resource Settings Using Point of Care Ultrasound and Deep Learning
Arvidsson, I. (PI), Lång, K. (CoPI), Karlsson, J. (Researcher), Heyden, A. (Researcher), Overgaard, N. C. (Researcher) & Sahlin, F. (Researcher)
Analytic Imaging Diagnostics Arena, AIDA
2024/01/01 → 2024/12/31
Project: Research
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23°N - Tropic of Cancer, accessible breast diagnostics for global health
Lång, K. (Researcher), Sahlin, F. (Project coordinator), Arvidsson, I. (Researcher) & Karlsson, J. (Researcher)
2022/01/01 → 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. (PI), Lång, K. (PI), Karlsson, J. (Research student), Arvidsson, I. (Researcher), Overgaard, N. C. (Researcher) & Åström, K. (Researcher)
2022/01/01 → 2023/12/31
Project: Research
Activities
- 1 Organisation of public lecture/debate/seminar
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AI Lund lunch seminar: Point-of-care ultrasound and deep learning for breast cancer diagnostics in low-resource settings
Wisbrant, J. (Organiser), Arvidsson, I. (Keynote/plenary speaker) & Karlsson, J. (Keynote/plenary speaker)
2024 Sept 11Activity: Participating in or organising an event › Organisation of public lecture/debate/seminar
Prizes and Distinction
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IVAs 100-lista
Sahlin, F. (Recipient), Lång, K. (Recipient), Arvidsson, I. (Recipient) & Karlsson, J. (Recipient), 2023
Prize: Prize (including medals and awards)
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LU Innovation award
Lång, K. (Recipient), Sahlin, F. (Recipient), Karlsson, J. (Recipient) & Arvidsson, I. (Recipient), 2022
Prize: Prize (including medals and awards)