Universitätsklinikum Erlangen

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 · 257 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.

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

Tirtha Chanda, Katja Hauser, Sarah Hobelsberger et al.

2024 · 138 Zit.

Benchmarking ChatGPT-4 on a radiation oncology in-training exam and Red Journal Gray Zone cases: potentials and challenges for ai-assisted medical education and decision making in radiation oncology

Yixing Huang, Ahmed M. Gomaa, Sabine Semrau et al.

2023 · 108 Zit.

Artificial Intelligence and Its Effect on Dermatologists’ Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study

Roman C. Maron, Jochen Utikal, Achim Hekler et al.

2020 · 88 Zit.

Explaining Therapy Predictions with Layer-Wise Relevance Propagation in Neural Networks

Yinchong Yang, Volker Tresp, Marius Wunderle et al.

2018 · 84 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 · 72 Zit.

Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours

Titus J. Brinker, Lennard Kiehl, Max Schmitt et al.

2021 · 65 Zit.

Comparison of physician and artificial intelligence-based symptom checker diagnostic accuracy

Markus Gräf, Johannes Knitza, Jan Leipe et al.

2022 · 63 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.

Federated Learning for Decentralized Artificial Intelligence in Melanoma Diagnostics

Sarah Haggenmüller, Max Schmitt, Eva Krieghoff‐Henning et al.

2024 · 48 Zit.

Patient's Perception of Digital Symptom Assessment Technologies in Rheumatology: Results From a Multicentre Study

Johannes Knitza, Felix Muehlensiepen, Yuriy Ignatyev et al.

2022 · 43 Zit.

Accuracy and usability of a diagnostic decision support system in the diagnosis of three representative rheumatic diseases: a randomized controlled trial among medical students

Johannes Knitza, Koray Taşçılar, Éva Gruber et al.

2021 · 41 Zit.

Evaluating predictive modeling algorithms to assess patient eligibility for clinical trials from routine data

Felix Köpcke, Dorota Łubgan, Rainer Fietkau et al.

2013 · 34 Zit.

STAGER checklist: Standardized testing and assessment guidelines for evaluating generative artificial intelligence reliability

Jinghong Chen, Lingxuan Zhu, Weiming Mou et al.

2024 · 29 Zit.