Research output per year
Research output per year
Personal profile
UKÄ subject classification
- Medical and Health Sciences
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Dive into the research topics where Felicia-Elena Marginean is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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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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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Nuclear expression of pSTAT3Tyr705 and pSTAT3Ser727 in the stromal compartment of localized hormone-naïve prostate cancer
Marginean, F. E., Hellsten, R., Krzyzanowska, A. & Bjartell, A., 2022 Apr, In: Pathology Research and Practice. 232, 153811.Research output: Contribution to journal › Article › peer-review
Open Access -
Prostate Cancer Tissue Biomarkers
Marginean, F-E., 2022, Lund: Lund University, Faculty of Medicine. 75 p.Research output: Thesis › Doctoral Thesis (compilation)
Open AccessFile164 Downloads (Pure) -
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 -
Domain-adversarial neural network for improved generalization performance of gleason grade classification
Arvidsson, I., Overgaard, N. C., Krzyzanowska, A., Marginean, F. E., Simoulis, A., Bjartell, A., Aström, K. & Heyden, A., 2020, Medical Imaging 2020: Digital Pathology. Tomaszewski, J. E. & Ward, A. D. (eds.). SPIE, 1132016. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11320).Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
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Digital Optimisation of Gleason Scoring (DOGS)
Krzyzanowska, A., Bjartell, A. & Marginean, F.
2016/01/01 → …
Project: Research
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