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Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions2024 BMC Bioinformatics software-paper Computer Science Machine Learning and Data Classification Open access
Moein E. Samadi, Hedieh Mirzaieazar, Alexander Mitsos, Andreas Schuppert
5citations -
Expand, Highlight, Generate: RL-driven Document Generation for Passage Reranking2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) conference-paper Computer Science Information Retrieval and Search Behavior Open access
Arian Askari, Mohammad Aliannejadi, Chuan Meng, Evangelos Kanoulas, Suzan Verberne
7citations -
Denoising diffusion probabilistic models for 3D medical image generation2023 Scientific Reports article Computer Science Generative Adversarial Networks and Image Synthesis Open access cited by 2 patents
Firas Khader, Gustav Anton Müller‐Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Christoph Haarburger, Maximilian Franz Schulze-Hagen, +9 more
343citations -
Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Generation2022 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access
Firas Khader, Gustav Mueller-Franzes, Soroosh Tayebi Arasteh, Christoph Haarburger, Maximilian Franz Schulze-Hagen, Philipp Schad, +8 more
21citations -
DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset2024 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Generative Adversarial Networks and Image Synthesis Open access
Christina Gsaxner, Timo van Meegdenburg, Gijs Luijten, Viet Duc Vu, Behrus Puladi, Jan Egger
1citations -
DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset2024 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Generative Adversarial Networks and Image Synthesis Open access
Christina Gsaxner, Timo van Meegdenburg, Gijs Luijten, Viet Duc Vu, Behrus Puladi, Jan Egger
0citations -
DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset2024 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Generative Adversarial Networks and Image Synthesis Open access
Christina Gsaxner, Timo van Meegdenburg, Gijs Luijten, Viet Duc Vu, Behrus Puladi, Jan Egger
0citations -
A Simulation Study to Compare the Predictive Performance of Survival Neural Networks with Cox Models for Clinical Trial Data2021 Computational and Mathematical Methods in Medicine article Computer Science Machine Learning in Healthcare Open access
Georgios Kantidakis, Elia Mario Biganzoli, Hein Putter, Marta F. Fiocco
15citations -
Denoising low-field MR images with a deep learning algorithm based on simulated data from easily accessible open-source software2024 Journal of Magnetic Resonance article Computer Science Image and Signal Denoising Methods Open access
Chloé Najac, Beatrice Lena, Thomas O’Reilly, Yiming Dong, Peter Börnert, Hieab H.H. Adams, +1 more
12citations -
Privacy-preserving dataset combination and Lasso regression for healthcare predictions2021 BMC Medical Informatics and Decision Making article Computer Science Privacy-Preserving Technologies in Data Open access
Marie Beth van Egmond, Gabriele Spini, Onno van der Galiën, Arne S. IJpma, Thijs Veugen, Wessel Kraaij, +6 more
50citations -
Parallel Adaptive Multi-Objective Evolutionary Learning of Discretized Bayesian Network Classifiers for Clinical Data2026 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Bayesian Modeling and Causal Inference Open access
Damy M. F. Ha, Thalea Schlender, Yvette M. van der Linden, Peter A. N. Bosman, Tanja Alderliesten
0citations