OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 29.03.2026, 17:47

Joanna Kaźmierska

141 Arbeiten1.190 Zitationen

Poznan University of Medical Sciences · PL

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

From multisource data to clinical decision aids in radiation oncology: The need for a clinical data science community

2020 · 37 Zit. · Radiotherapy and Oncology

Supplementary Data from Multi-institutional prognostic modelling in head and neck cancer:evaluating impact and generalizability of deep learning and radiomics

2023 · 0 Zit.

Supplementary Figure S2 from Multi-institutional prognostic modelling in head and neck cancer:evaluating impact and generalizability of deep learning and radiomics

2023 · 0 Zit.

TABLE 1 from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics

2023 · 0 Zit.

Supplementary Figure S1 from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics

2023 · 0 Zit.

Ethical issues on artificial intelligence in radiology: how is it reported in research articles? The current state and future directions

2021 · 0 Zit. · Journal of Medical Science

Supplementary Figure S1 from Multi-institutional prognostic modelling in head and neck cancer:evaluating impact and generalizability of deep learning and radiomics

2023 · 0 Zit.

Supplementary Figure S3 from Multi-institutional prognostic modelling in head and neck cancer:evaluating impact and generalizability of deep learning and radiomics

2023 · 0 Zit.

Supplementary Data from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics

2023 · 0 Zit.

Supplementary Figure S3 from Multi-institutional prognostic modelling in head and neck cancer:evaluating impact and generalizability of deep learning and radiomics

2023 · 0 Zit.

Supplementary Figure S4 from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics

2023 · 0 Zit.

Supplementary Data from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics

2023 · 0 Zit.

Data from Multi-institutional prognostic modelling in head and neck cancer:evaluating impact and generalizability of deep learning and radiomics

2023 · 0 Zit.

Supplementary Figure S1 from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics

2023 · 0 Zit.

TABLE 1 from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics

2023 · 0 Zit.