Pontus Röbeck
Doktorand vid Institutionen för kirurgiska vetenskaper; Urologi
- E-post:
- pontus.robeck@uu.se
- Besöksadress:
- Akademiska sjukhuset, ingång 70, 1 tr
751 85 UPPSALA - Postadress:
- Akademiska sjukhuset, ingång 70, 1 tr
751 85 UPPSALA
Ladda ned kontaktuppgifter för Pontus Röbeck vid Institutionen för kirurgiska vetenskaper; Urologi
Publikationer
Senaste publikationer
-
Ingår i Medical Image Analysis, 2026
- DOI för A systematic analysis of the impact of data variation on AI-based histopathological grading of prostate cancer
- Ladda ner fulltext (pdf) av A systematic analysis of the impact of data variation on AI-based histopathological grading of prostate cancer
-
Robust, credible, and interpretable AI-based histopathological prostate cancer grading
Ingår i medRxiv, 2024
- DOI för Robust, credible, and interpretable AI-based histopathological prostate cancer grading
- Ladda ner fulltext (pdf) av Robust, credible, and interpretable AI-based histopathological prostate cancer grading
-
Ingår i The Prostate, s. 831-839, 2023
- DOI för P-score in preoperative biopsies accurately predicts P-score in final pathology at radical prostatectomy in patients with localized prostate cancer
- Ladda ner fulltext (pdf) av P-score in preoperative biopsies accurately predicts P-score in final pathology at radical prostatectomy in patients with localized prostate cancer
-
Ingår i Cytopathology, s. 286-294, 2023
- DOI för Multiplex protein analysis and ensemble machine learning methods of fine needle aspirates from prostate cancer patients reveal potential diagnostic signatures associated with tumour grade
- Ladda ner fulltext (pdf) av Multiplex protein analysis and ensemble machine learning methods of fine needle aspirates from prostate cancer patients reveal potential diagnostic signatures associated with tumour grade
Alla publikationer
Artiklar i tidskrift
-
Ingår i Medical Image Analysis, 2026
- DOI för A systematic analysis of the impact of data variation on AI-based histopathological grading of prostate cancer
- Ladda ner fulltext (pdf) av A systematic analysis of the impact of data variation on AI-based histopathological grading of prostate cancer
-
Robust, credible, and interpretable AI-based histopathological prostate cancer grading
Ingår i medRxiv, 2024
- DOI för Robust, credible, and interpretable AI-based histopathological prostate cancer grading
- Ladda ner fulltext (pdf) av Robust, credible, and interpretable AI-based histopathological prostate cancer grading
-
Ingår i The Prostate, s. 831-839, 2023
- DOI för P-score in preoperative biopsies accurately predicts P-score in final pathology at radical prostatectomy in patients with localized prostate cancer
- Ladda ner fulltext (pdf) av P-score in preoperative biopsies accurately predicts P-score in final pathology at radical prostatectomy in patients with localized prostate cancer
-
Ingår i Cytopathology, s. 286-294, 2023
- DOI för Multiplex protein analysis and ensemble machine learning methods of fine needle aspirates from prostate cancer patients reveal potential diagnostic signatures associated with tumour grade
- Ladda ner fulltext (pdf) av Multiplex protein analysis and ensemble machine learning methods of fine needle aspirates from prostate cancer patients reveal potential diagnostic signatures associated with tumour grade