Leipzig University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Surgical data science for next-generation interventions
Lena Maier‐Hein, S. Swaroop Vedula, Stefanie Speidel et al.
2017 · 517 Zit.
Metrics reloaded: recommendations for image analysis validation
Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.
2024 · 380 Zit.
Surgical data science – from concepts toward clinical translation
Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarıkaya et al.
2022 · 323 Zit.
An overview and a roadmap for artificial intelligence in hematology and oncology
Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler et al.
2023 · 82 Zit.
A Delphi consensus statement for digital surgery
Kyle Lam, Michael D. Abràmoff, José M. Balibrea et al.
2022 · 81 Zit.
New regulatory thinking is needed for AI-based personalised drug and cell therapies in precision oncology
Bouchra Derraz, Gabrièle Bréda, C. Kaempf et al.
2024 · 78 Zit.
Surgical data science – from concepts toward clinical translation
Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarikaya et al.
2021 · 39 Zit.
Implementation of cloud computing in the German healthcare system
Michael Putzier, Thilo Khakzad, Marcel Dreischarf et al.
2024 · 27 Zit.
A Computer-Interpretable Version of the AACE, AME, ETA Medical Guidelines for Clinical Practice for the Diagnosis and Management of Thyroid Nodules
Mor Peleg, John Fox, Vivek Patkar et al.
2013 · 22 Zit.
Enabling artificial intelligence in high acuity medical environments
Martin Kasparick, Björn Andersen, Stefan Franke et al.
2019 · 21 Zit.
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.
2023 · 20 Zit.
Measuring fairness preferences is important for artificial intelligence in health care
Anatol‐Fiete Näher, Ivar Krumpal, Esther-Maria Antão et al.
2024 · 18 Zit.
Artificial Intelligence in Colorectal Cancer: From Patient Screening over Tailoring Treatment Decisions to Identification of Novel Biomarkers
Nic G. Reitsam, Johanna Sophie Enke, Kien Vu Trung et al.
2024 · 18 Zit.
How to deal with Uncertainty in Machine Learning for Medical Imaging?
Christina Gillmann, Dorothee Saur, Gerik Scheuermann
2021 · 17 Zit.
Phenotyping the virulence of SARS-CoV-2 variants in hamsters by digital pathology and machine learning
Gavin R. Meehan, Vanessa Herder, Jay Allan et al.
2023 · 16 Zit.