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Segmenting beyond the imaging data: creation of anatomically valid edentulous mandibular geometries for surgical planning using artificial intelligence2025 Clinical Oral Investigations article Computer Science Medical Image Segmentation Techniques Open access
Stefan Raith, Tobias Pankert, Srikrishna Jaganathan, Kristina Pankert, Hyun Lee, Florian Peters, +2 more
2citations -
Leveraging Unlabeled Data for 3D Medical Image Segmentation Through Self-Supervised Contrastive Learning2024 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science Medical Image Segmentation Techniques
Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulaş Bağcı, Dorit Merhof
3citations -
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulaş Bağcı, Dorit Merhof
0citations -
ToolPool Gesundheitsforschung – A Repository for Software and Services Focused on Supporting Clinical and Epidemiological Research2022 Studies in health technology and informatics book-chapter Computer Science Research Data Management Practices Open access
Matthias Löbe, Martin Bialke, Jonas Bienzeisler, Johannes Drepper, Thomas Ganslandt, Sophie Haderer, +6 more
0citations -
Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis2022 arXiv (Cornell University) preprint Computer Science Machine Learning in Healthcare Open access
Firas Khader, Gustav Mueller-Franzes, Tianci Wang, Soroosh Tayebi Arasteh, Christoph Haarburger, Johannes Stegmaier, +5 more
3citations -
Concept-based AI interpretability in physiological time-series data: Example of abnormality detection in electroencephalography2024 Computer Methods and Programs in Biomedicine article Computer Science Explainable Artificial Intelligence (XAI) Open access
Alexander Brenner, Felix Knispel, Florian P. Fischer, Peter Rossmanith, Yvonne G. Weber, Henner Koch, +3 more
13citations -
Integration of deep learning-based image analysis and genomic data in cancer pathology: A systematic review2021 European Journal of Cancer review Computer Science AI in cancer detection Open access cited by 1 patent
Lucas Schneider, Sara Laiouar-Pedari, Sara Kuntz, Eva Krieghoff‐Henning, Achim Hekler, Jakob Nikolas Kather, +3 more
102citations -
AB1114 HANDWORK VS MACHINE; A COMPARISON OF RHEUMATOID ARTHRITIS PATIENT POPULATIONS AS IDENTIFIED BY MACHINE-LEARNING AND CRITERIA-BASED CHART REVIEW.2020 Annals of the Rheumatic Diseases article Computer Science Machine Learning in Healthcare Open access
Tjardo Daniël Maarseveen, Marc P. Maurits, Ellis Niemantsverdriet, Tom W. J. Huizinga, A. Van der Helm – van Mil, Rachel Knevel
0citations -
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting2022 Expert Systems with Applications article Computer Science Privacy-Preserving Technologies in Data Open access
Thomas Borger, Pablo J. Mosteiro, Heysem Kaya, Emil Rijcken, Albert Ali Salah, Floortje E. Scheepers, +1 more
38citations -
Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts
Sarah Volinsky-Fremond, Sonali Andani, Jurriaan Barkey Wolf, Jouke Dijkstra, Sinead Melsbach, Jan J. Jobsen, +18 more
134citations -
Can we reliably automate clinical prognostic modelling? A retrospective cohort study for ICU triage prediction of in-hospital mortality of COVID-19 patients in the Netherlands2022 International Journal of Medical Informatics article Computer Science Machine Learning in Healthcare Open access
Iacopo Vagliano, Sylvia Brinkman, Ameen Abu–Hanna, M. Sesmu Arbous, Dave Anton Dongelmans, Paul Elbers, +3 more
13citations -
Handwork vs machine: a comparison of rheumatoid arthritis patient populations as identified from EHR free-text by diagnosis extraction through machine-learning or traditional criteria-based chart review2021 Arthritis Research & Therapy article Computer Science Machine Learning in Healthcare Open access
Tjardo Daniël Maarseveen, Marc P. Maurits, Ellis Niemantsverdriet, Annette H M van der Helm–van Mil, Tom W. J. Huizinga, Rachel Knevel
24citations -
POS0535 QUERY ALGORITHMS AND MACHINE LEARNING METHODS AS TOOLS TO IDENTIFY COMORBIDITIES IN LARGE-SCALE FREE-TEXT BASED FIELDS: A CASE-REPORT2021 Annals of the Rheumatic Diseases conference-abstract Computer Science Machine Learning in Healthcare Open access
Dieter Roehrich, T. Maarseveen, Alfons A den Broeder, Călin D. Popa, Rachel Knevel
0citations -
Computational Simulation of Virtual Patients Reduces Dataset Bias and Improves Machine Learning-Based Detection of ARDS from Noisy Heterogeneous ICU Datasets2023 IEEE Open Journal of Engineering in Medicine and Biology article Computer Science Machine Learning in Healthcare Open access
Konstantin Sharafutdinov, Sebastian Johannes Fritsch, Pejman Farhadi Ghalati, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, +5 more
12citations -
Using an Artificial Intelligence Tool Incorporating Natural Language Processing to Identify Low-Prevalence Cases of ANCA-Associated Vasculitis in Electronic Health Records2023 Journal of the American Society of Nephrology conference-abstract Computer Science Machine Learning in Healthcare
Jolijn R. van Leeuwen, Erik Lars Penne, Ton J. Rabelink, Rachel Knevel, Y K Onno Teng
1citations