Baessler, Bettina

Radiomics in medical imaging—“how-to” guide and critical reflection

van Timmeren, J. E., Cester, D., Tanadini-Lang, S., Alkadhi, H., & Baessler, B. (2020) · Insights into Imaging

Radiomics and Machine Learning in Medical ImagingImage Retrieval and Classification Techniques

Cited by 1,316

Medical students' attitude towards artificial intelligence: a multicentre survey

Pinto dos Santos, D., Giese, D., Brodehl, S., Chon, S. H., Staab, W., Kleinert, R., Maintz, D., & Baeßler, B. (2019) · European Radiology

Artificial Intelligence in Healthcare and EducationRadiology practices and education

Cited by 754

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

Tejani, A. S., Klontzas, M. E., Gatti, A. A., Mongan, J. T., Moy, L., Park, S. H., Kahn, C. E., Panel, F. T. C. 2. U., Abbara, S., Afat, S., et al. (2024) · Radiology: Artificial Intelligence

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 570

CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

Kocak, B., Baessler, B., Bakas, S., Cuocolo, R., Fedorov, A., Maier-Hein, L., Mercaldo, N., Müller, H., Orlhac, F., Pinto dos Santos, D., et al. (2023) · Insights into Imaging

Radiomics and Machine Learning in Medical ImagingRadiology practices and education

Cited by 471

Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance

Dratsch, T., Chen, X., Rezazade Mehrizi, M., Kloeckner, R., Mähringer-Kunz, A., Püsken, M., Baeßler, B., Sauer, S., Maintz, D., & Pinto dos Santos, D. (2023) · Radiology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 369

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

Akinci D’Antonoli, T., Cuocolo, R., Baessler, B., & Pinto dos Santos, D. (2023) · European Radiology

Radiomics and Machine Learning in Medical ImagingResearch Data Management Practices

Cited by 49

Can Magnetic Resonance Imaging Radiomics of the Pancreas Predict Postoperative Pancreatic Fistula?

Skawran, S. M., Kambakamba, P., Baessler, B., von Spiczak, J., Kupka, M., Müller, P. C., Moeckli, B., Linecker, M., Petrowsky, H., & Reiner, C. S. (2021) · European Journal of Radiology

Radiomics and Machine Learning in Medical ImagingPancreatic and Hepatic Oncology Research

Cited by 37

Machine learning in cardiovascular radiology: ESCR position statement on design requirements, quality assessment, current applications, opportunities, and challenges

Weikert, T., Francone, M., Abbara, S., Baessler, B., Choi, B. W., Gutberlet, M., Hecht, E. M., Loewe, C., Mousseaux, E., Natale, L., et al. (2021) · European Radiology

Artificial Intelligence in Healthcare and EducationCardiac Imaging and Diagnostics

Cited by 34