University Hospital Frankfurt

International consensus statement on the peri‐operative management of anaemia and iron deficiency

Manuel Múñoz, Austin G. Acheson, Michael Auerbach et al.

2016 · 810 Zit.

Automated Gleason grading of prostate cancer tissue microarrays via deep learning

Eirini Arvaniti, Kim S. Fricker, Michaël Moret et al.

2018 · 420 Zit.

Multimodal Patient Blood Management Program Based on a Three-pillar Strategy

Friederike C. Althoff, Holger Neb, Eva Herrmann et al.

2018 · 290 Zit.

An overview and a roadmap for artificial intelligence in hematology and oncology

Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler et al.

2023 · 77 Zit.

Artificial Intelligence and Machine Learning in Radiology

Julian L. Wichmann, Martin J. Willemink, Carlo N. De Cecco

2020 · 77 Zit.

Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA

Adrian P. Brady, Bibb Allen, Jaron Chong et al.

2024 · 71 Zit.

Joint Imaging Platform for Federated Clinical Data Analytics

Jonas Scherer, Marco Nolden, Jens Kleesiek et al.

2020 · 70 Zit.

Large language models for structured reporting in radiology: past, present, and future

Felix Busch, Lena Hoffmann, Daniel Santos et al.

2024 · 68 Zit.

Automated Gleason grading of prostate cancer tissue microarrays via deep learning

Eirini Arvaniti, Kim S. Fricker, Michaël Moret et al.

2018 · 63 Zit.

Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning

Burak Koçak, Renato Cuocolo, Daniel Santos et al.

2022 · 57 Zit.

Guiding AI in radiology: ESR’s recommendations for effective implementation of the European AI Act

Elmar Kotter, Tugba Akinci D’Antonoli, Renato Cuocolo et al.

2025 · 54 Zit.

Artificial intelligence, machine learning and deep learning in musculoskeletal imaging: Current applications

Tommaso D’Angelo, Danilo Caudo, Alfredo Blandino et al.

2022 · 51 Zit.

Reproducibility of radiomics quality score: an intra- and inter-rater reliability study

Tugba Akinci D’Antonoli, Armando Ugo Cavallo, Federica Vernuccio et al.

2023 · 48 Zit.

Towards reproducible radiomics research: introduction of a database for radiomics studies

Tugba Akinci D’Antonoli, Renato Cuocolo, Bettina Baeßler et al.

2023 · 44 Zit.

Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA

Adrian P. Brady, Bibb Allen, Jaron Chong et al.

2024 · 41 Zit.