Deutschen Konsortium für Translationale Krebsforschung

End-to-end privacy preserving deep learning on multi-institutional medical imaging

Georgios Kaissis, Alexander Ziller, Jonathan Passerat‐Palmbach et al.

2021 · 461 Zit.

Metrics reloaded: recommendations for image analysis validation

Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.

2024 · 376 Zit.

Medical deep learning—A systematic meta-review

Jan Egger, Christina Gsaxner, Antonio Pepe et al.

2022 · 248 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 · 242 Zit.

Understanding metric-related pitfalls in image analysis validation

Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.

2024 · 166 Zit.

Joint EANM/SNMMI guideline on radiomics in nuclear medicine

Mathieu Hatt, Aron K. Krizsan, Arman Rahmim et al.

2022 · 143 Zit.

Radiomics in radiooncology – Challenging the medical physicist

Jan C. Peeken, Michael Bernhofer, Benedikt Wiestler et al.

2018 · 99 Zit.

Joint Imaging Platform for Federated Clinical Data Analytics

Jonas Scherer, Marco Nolden, Jens Kleesiek et al.

2020 · 71 Zit.

A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy

Coen Hurkmans, Jean‐Emmanuel Bibault, Kristy K. Brock et al.

2024 · 70 Zit.

Reconciling privacy and accuracy in AI for medical imaging

Alexander Ziller, Tamara T. Mueller, Simon Stieger et al.

2024 · 58 Zit.

Expert-Guided Large Language Models for Clinical Decision Support in Precision Oncology

Jacqueline Lammert, Tobias Dreyer, Sonja Mathes et al.

2024 · 44 Zit.

The role of artificial intelligence in radiotherapy clinical practice

Guillaume Landry, Christopher Kurz, Alberto Traverso

2023 · 35 Zit.

Feature Robustness and Diagnostic Capabilities of Convolutional Neural Networks Against Radiomics Features in Computed Tomography Imaging

Sebastian Ziegelmayer, Stefan Reischl, F Harder et al.

2021 · 27 Zit.

Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks

Felix J. Dorfner, Amin Dada, Felix Busch et al.

2025 · 27 Zit.

ChatGPT's Gastrointestinal Tumor Board Tango: A limping dance partner?

Ughur Aghamaliyev, Javad Karimbayli, Clemens Gießen-Jung et al.

2024 · 24 Zit.