Pontus Röbeck

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

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

Part of medRxiv, 2024

• DOI for Robust, credible, and interpretable AI-based histopathological prostate cancer grading
• Download full text (pdf) of 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.

Part of The Prostate, p. 831-839, 2023

• DOI for P-score in preoperative biopsies accurately predicts P-score in final pathology at radical prostatectomy in patients with localized prostate cancer
• Download full text (pdf) of 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.

Part of Cytopathology, p. 286-294, 2023

• DOI for Multiplex protein analysis and ensemble machine learning methods of fine needle aspirates from prostate cancer patients reveal potential diagnostic signatures associated with tumour grade
• Download full text (pdf) of 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.

Part of medRxiv, 2024

• DOI for Robust, credible, and interpretable AI-based histopathological prostate cancer grading
• Download full text (pdf) of 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.

Part of The Prostate, p. 831-839, 2023

• DOI for P-score in preoperative biopsies accurately predicts P-score in final pathology at radical prostatectomy in patients with localized prostate cancer
• Download full text (pdf) of 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.

Part of Cytopathology, p. 286-294, 2023

• DOI for Multiplex protein analysis and ensemble machine learning methods of fine needle aspirates from prostate cancer patients reveal potential diagnostic signatures associated with tumour grade
• Download full text (pdf) of Multiplex protein analysis and ensemble machine learning methods of fine needle aspirates from prostate cancer patients reveal potential diagnostic signatures associated with tumour grade