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Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials
Sena Alaeikhanehshir, Madelon M. Voets, Frederieke H van Duijnhoven, Esther H. Lips, Emma Josephine Groen, Marja C.J. van Oirsouw, +23 more
14citations -
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 -
EXCELLERATP2 D3.2 First Updated Report on Exa-Enabling Methodologies2026 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Parallel Computing and Optimization Techniques Open access
Ansgar Niemöller, Matthias H. Meinke, Joeffrey Legaux, Mohamed Ibrahim Ghenai, Michael Wagner, Tufan Arslan, +12 more
0citations -
Optical coherence tomography combined with convolutional neural networks can differentiate between intrahepatic cholangiocarcinoma and liver parenchyma ex vivo2023 Journal of Cancer Research and Clinical Oncology article Computer Science AI in cancer detection Open access
Laura I. Wolff, Enno Hachgenei, Paul Goßmann, Mariia Druzenko, Maik Frye, Niels König, +11 more
11citations -
Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imaging2025 Journal of Synchrotron Radiation article Computer Science Image and Signal Denoising Methods Open access
Yoshihiro Obata, Dilworth Y. Parkinson, Daniël M. Pelt, Claire Acevedo
4citations -
Hyperparameter Optimization and Neuroevolution with Binary Quadratic Meta-heuristics and Evolution Strategies2023 IEEE Congress on Information Science and Technology (CiSt) conference-paper Computer Science Metaheuristic Optimization Algorithms Research
David Von Dollen, Reuben Brasher, Florian Neukart, Thomas Bäck
2citations -
Shapes are not enough: CONSERVAttack and its use for finding vulnerabilities and uncertainties in machine learning applications2026 The European Physical Journal C article Computer Science Adversarial Robustness in Machine Learning Open access
P. Bechtle, Lucie Flek, A. Jung, Akbar Karimi, Timo Saala, Alexander Schmidt, +4 more
0citations -
Automated Analysis of Alignment in Long-Leg Radiographs by Using a Fully Automated Support System Based on Artificial Intelligence2020 Radiology Artificial Intelligence article Computer Science Medical Image Segmentation Techniques Open access cited by 1 patent
Justus Schock, Daniel Truhn, Daniel Benjamin Abrar, Dorit Merhof, Stefan Conrad, Manuel Post, +3 more
78citations -
Localization-Driven Speech Enhancement in Noisy Multi-Speaker Hospital Environments Using Deep Learning and Meta Learning2022 IEEE/ACM Transactions on Audio Speech and Language Processing article Computer Science Speech and Audio Processing
Mahdi Barhoush, Ahmed Hallawa, Arne Peine, Lukas Märtin, Anke Schmeink
22citations -
Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Zunamys Itzell Carrero, Tobias Seibel, Marko van Treeck, +10 more
22citations -
Under Pressure: Cognitive Effort During Website-Based Task Performance is Associated with Pupil Size, Visual Exploration, and Users’ Intention to Recommend19citations
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Harnessing Artificial Intelligence for Enhanced Renal Analysis: Automated Detection of Hydronephrosis and Precise Kidney Segmentation2024 European Urology Open Science article Computer Science Medical Image Segmentation Techniques Open access
Radu Alexa, Jennifer Kranz, Rafael Kramann, Christoph Kuppe, Ritabrata Sanyal, Sikander Hayat, +4 more
9citations