Nationales Centrum für Tumorerkrankungen Dresden
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII
Burak Koçak, Bettina Baeßler, Spyridon Bakas et al.
2023 · 403 Zit.
Why rankings of biomedical image analysis competitions should be interpreted with care
Lena Maier‐Hein, Matthias Eisenmann, Annika Reinke et al.
2018 · 359 Zit.
Surgical data science – from concepts toward clinical translation
Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarıkaya et al.
2022 · 320 Zit.
METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
Burak Koçak, Tugba Akinci D’Antonoli, Nathaniel D. Mercaldo et al.
2024 · 255 Zit.
Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts
Sarah Haggenmüller, Roman C. Maron, Achim Hekler et al.
2021 · 241 Zit.
Joint EANM/SNMMI guideline on radiomics in nuclear medicine
Mathieu Hatt, Aron K. Krizsan, Arman Rahmim et al.
2022 · 143 Zit.
Reinforcement Learning for Precision Oncology
Jan‐Niklas Eckardt, Karsten Wendt, Martin Bornhäuser et al.
2021 · 84 Zit.
Artificial Intelligence-Assisted Surgery: Potential and Challenges
Sebastian Bodenstedt, Martin Wagner, Beat P. Müller‐Stich et al.
2020 · 80 Zit.
A Delphi consensus statement for digital surgery
Kyle Lam, Michael D. Abràmoff, José M. Balibrea et al.
2022 · 80 Zit.
Robustness of convolutional neural networks in recognition of pigmented skin lesions
Roman C. Maron, Sarah Haggenmüller, Christof von Kalle et al.
2021 · 58 Zit.
SAGES consensus recommendations on surgical video data use, structure, and exploration (for research in artificial intelligence, clinical quality improvement, and surgical education)
Jennifer A. Eckhoff, Guy Rosman, Maria S. Altieri et al.
2023 · 34 Zit.
White paper: definitions of artificial intelligence and autonomous actions in clinical surgery
Andrew A. Gumbs, F. Alexander, Konrad Karcz et al.
2022 · 30 Zit.
Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data
Martin Wagner, Johanna M. Brandenburg, Sebastian Bodenstedt et al.
2022 · 24 Zit.
Can surgeons trust AI? Perspectives on machine learning in surgery and the importance of eXplainable Artificial Intelligence (XAI)
Johanna M. Brandenburg, Beat P. Müller‐Stich, Martin Wagner et al.
2025 · 23 Zit.
Anatomy Segmentation in Laparoscopic Surgery: Comparison of Machine Learning and Human Expertise – An Experimental Study
Fiona R. Kolbinger, Franziska M. Rinner, Alexander C. Jenke et al.
2022 · 7 Zit.