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Extracting patient lifestyle characteristics from Dutch clinical text with BERT models2024 BMC Medical Informatics and Decision Making article Computer Science Machine Learning in Healthcare Open access
Hielke Muizelaar, M. Haas, Koert van Dortmont, Peter van der Putten, Marco René Spruit
16citations -
Adversarial attacks and adversarial robustness in computational pathology2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Narmin Ghaffari Laleh, Daniel Truhn, Gregory Patrick Veldhuizen, Tianyu Han, Marko van Treeck, Roman David Buelow, +5 more
14citations -
Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Tobias Seibel, Didem Çifçi, Marko van Treeck, +9 more
12citations -
A comparison of modeling approaches for static and dynamic prediction of central-line bloodstream infections using electronic health records (part 1): regression models2025 Diagnostic and Prognostic Research article Computer Science Machine Learning in Healthcare Open access
Shan Gao, Elena Albu, Hein Putter, Pieter Stijnen, Frank E Rademakers, Veerle Cossey, +4 more
11citations -
Constrained Auto-Regressive Decoding Constrains Generative Retrieval2025 International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) conference-paper Computer Science Information Retrieval and Search Behavior Open access
Shiguang Wu, Zhaochun Ren, Xin Xin, Jiyuan Yang, Mengqi Zhang, Zhumin Chen, +2 more
10citations -
Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression?2023 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Joe Harrison, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
8citations -
OoDIS: Anomaly Instance Segmentation and Detection Benchmark2025 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Advanced Neural Network Applications Open access
Rui Zhou, Miriam Ackermann, Alexander Hermans, Bastian Leibe, Matthias Rottmann
8citations -
CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation2024 The Journal of Machine Learning for Biomedical Imaging article Computer Science Generative Adversarial Networks and Image Synthesis Open access
Yunjie Chen, Marius Staring, Olaf M. Neve, Stephan R. Romeijn, Erik Frans Hensen, Berit M. Verbist, +2 more
6citations -
Self-supervised Semantic Segmentation: Consistency over Transformation2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) conference-paper Computer Science Medical Image Segmentation Techniques Open access
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulaş Bağcı, Dorit Merhof
6citations -
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction2025 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Adversarial Robustness in Machine Learning Open access
Severin Heidrich, Till Beemelmanns, Bastian Leibe, Lutz Eckstein
6citations -
Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space2023 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Alejandro Marrero, Eduardo Segredo, Emma Hart, Jakob Bossek, Aneta Neumann
6citations