Pontus Röbeck

Robust, credible, and interpretable AI-based histopathological prostate cancer grading

Westhaeusser, Fabian; Fuhlert, Patrick; Dietrich, Esther; Lennartz, Maximilian et al.

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

P-score in preoperative biopsies accurately predicts P-score in final pathology at radical prostatectomy in patients with localized prostate cancer

Röbeck, Pontus; Xu, Lidi; Ahmed, Dilruba; Dragomir, Anca et al.

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

Multiplex protein analysis and ensemble machine learning methods of fine needle aspirates from prostate cancer patients reveal potential diagnostic signatures associated with tumour grade

Röbeck, Pontus; Franzén, Bo; Cantera-Ahlman, Rafaele; Dragomir, Anca et al.

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

Robust, credible, and interpretable AI-based histopathological prostate cancer grading

Westhaeusser, Fabian; Fuhlert, Patrick; Dietrich, Esther; Lennartz, Maximilian et al.

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

P-score in preoperative biopsies accurately predicts P-score in final pathology at radical prostatectomy in patients with localized prostate cancer

Röbeck, Pontus; Xu, Lidi; Ahmed, Dilruba; Dragomir, Anca et al.

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

Multiplex protein analysis and ensemble machine learning methods of fine needle aspirates from prostate cancer patients reveal potential diagnostic signatures associated with tumour grade

Röbeck, Pontus; Franzén, Bo; Cantera-Ahlman, Rafaele; Dragomir, Anca et al.

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