Papers matching “deep learning training data” 641
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Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers2021 Information and Inference A Journal of the IMA article Computer Science Stochastic Gradient Optimization Techniques Open access
Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg
29citations -
The Impact of Digital Histopathology Batch Effect on Deep Learning Model Accuracy and Bias2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Frederick Matthew Howard, James M. Dolezal, Sara E. Kochanny, Jefree J. Schulte, Heather Chen, Lara Rosaline Heij, +7 more
25citations -
DeepMed: A unified, modular pipeline for end-to-end deep learning in computational pathology2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Marko van Treeck, Didem Çifçi, Narmin Ghaffari Laleh, Oliver Lester Saldanha, Chiara Maria Lavinia Loeffler, Katherine Jane Hewitt, +9 more
13citations -
Sim2Real Deep Reinforcement Learning of Compliance-based Robotic Assembly Operations2022 International Conference on Methods and Models in Automation and Robotics conference-paper Computer Science Reinforcement Learning in Robotics
Oliver Petrović, Lukas Schäper, Simon Roggendorf, Simon Storms, Christian Brecher
10citations -
Lessons Learned from a Field Study on Deep-Learning-Based Model Predictive Control for Optimizing the Operation of Façade Ventilation Units2025 Building Simulation Conference proceedings conference-paper Engineering Building Energy and Comfort Optimization Open access
Clara-Larissa Lorenz, Oliver Abele, Jérôme Frisch, Christoph van Treeck
0citations -
Bird song comparison using deep learning trained from avian perceptual judgments2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Animal Vocal Communication and Behavior Open access
Lies Zandberg, Veronica Morfi, Julia M. George, David F. Clayton, Dan Stowell, Robert F. Lachlan
7citations -
Bird song comparison using deep learning trained from avian perceptual judgments2024 PLoS Computational Biology article Biochemistry, Genetics and Molecular Biology Animal Vocal Communication and Behavior Open access
Lies Zandberg, Veronica Morfi, Julia M. George, David F. Clayton, Dan Stowell, Robert F. Lachlan
4citations -
Reducing spatial discretization error on coarse CFD simulations using an openFOAM-embedded deep learning framework2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access
Jesus Gonzalez-Sieiro, David Pardo, Vincenzo Nava, Victor M. Calo, Markus Towara
5citations -
Deep learning image enhancement algorithms in PET/CT imaging: a phantom and sarcoma patient radiomic evaluation2025 European Journal of Nuclear Medicine and Molecular Imaging article Medicine Radiomics and Machine Learning in Medical Imaging Open access
Lara M. Bonney, Gijsbert M. Kalisvaart, Floris H. P. van Velden, Kevin Martin Bradley, Andrew Bassim Hassan, Willem Grootjans, +1 more
8citations -
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 -
Anomaly Detection in Intensive Care Unit Data: A Comparative Analysis2026 International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) conference-paper Computer Science Anomaly Detection Techniques and Applications Open access
Simon Fonck, Lavinia Goldermann, Sebastian Johannes Fritsch, Lena Olivier, André Stollenwerk
0citations -
3D Obstacle Avoidance For Autonomous Underwater Vehicles Using Deep Reinforcement Learning With Mixture-of-Experts Architecture0citations
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Learning multimodal explainable AI models from medical images and tabular data: proof of concept2025 SPIE Medical Imaging: Image Processing conference-paper Computer Science Explainable Artificial Intelligence (XAI)
Mafalda Malafaia, Thalea Schlender, Peter A. N. Bosman, Tanja Alderliesten
0citations -
Deep learning based automated left ventricle segmentation and flow quantification in 4D flow cardiac MRI2024 Journal of Cardiovascular Magnetic Resonance article Computer Science Medical Image Segmentation Techniques Open access
Xiaowu Sun, Li‐Hsin Cheng, Sven Plein, Pankaj Kumar Garg, Rob J. van der Geest
28citations -
DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy2020 Briefings in Bioinformatics article Biochemistry, Genetics and Molecular Biology Machine Learning in Bioinformatics Open access
Ruopeng Xie, Jiahui Li, Jiawei Wang, Wei Dai, André Leier, Tatiana T. Marquez‐Lago, +4 more
90citations -
Technical and clinical validation of a novel deep learning-based white matter hyperintensity segmentation tool2025 Cerebral Circulation - Cognition and Behavior article Computer Science Medical Image Segmentation Techniques Open access
Benno G. Gesierich, Lukas Pirpamer, Dominik Meier, Michael Amann, Minne N. Cerfontaine, Frank‐Erik de Leeuw, +8 more
9citations