Stefan Carlsson
Papers
4
Total Citations
9
H-Index
2
About
Stefan Carlsson is a researcher whose work spans two distinct fields: computer vision and urological surgery. In computer vision, Carlsson has investigated object recognition and categorization, contributing a notable approach to extracting essential local object characteristics for 3D classification. His method addresses a fundamental challenge in the field — that most object classes share considerable local appearance, with only a small subset of features being truly discriminative — offering a more targeted alternative to traditional feature-counting summarization techniques. In parallel, Carlsson has made meaningful contributions to urological research, particularly in the domain of prostate cancer surgery. His clinical work includes investigations into perioperative mortality following radical prostatectomy across large Swedish patient cohorts, complication rates comparing robot-assisted and open retropubic prostatectomies at Karolinska, and the prognostic significance of positive surgical margins on biochemical recurrence after robotic procedures. While Carlsson's citation counts remain modest, reflecting the early or specialized nature of these contributions, his interdisciplinary presence — bridging machine learning-informed visual analysis and evidence-based surgical outcomes research — marks him as a versatile and clinically grounded researcher with broad scholarly reach.
Research Focus
Key Achievements
Top Papers
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