Michal Kazmierski
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
SCARF: Auto-Segmentation Clinical Acceptability & Reproducibility Framework for Benchmarking Essential Radiation Therapy Targets in Head and Neck Cancer
2022 · 2 Zit. · medRxiv
Med-ImageTools: An open-source Python package for robust data processing pipelines and curating medical imaging data
2023 · 2 Zit. · F1000Research
Med-ImageTools: An open-source Python package for robust data processing pipelines and curating medical imaging data
2024 · 2 Zit. · F1000Research
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.
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.