Papers matching “deep learning training data” 260
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CAPTURE: Memory-Centric Partitioning for Distributed DNN Training with Hybrid Parallelism2023 IEEE International Conference on High Performance Computing, Data, and Analytics conference-paper Computer Science Parallel Computing and Optimization Techniques Open access
Henk Dreuning, Kees Verstoep, Henri E. Bal, Rob V. van Nieuwpoort
0citations -
Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses2023 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Reinforcement Learning in Robotics
Hongzhuo Liang, Cong Lin, Jianzhi Lyu, Pingfa Feng, Jianwei Zhang
25citations -
Multi-label segmentation of carpal bones in MRI using expansion transfer learning2025 Physics in Medicine and Biology article Computer Science Medical Image Segmentation Techniques Open access cited by 1 patent
Stefan Raith, Matthias Deitermann, Tobias Pankert, Ali Modabber, Frank Hölzle, Frank Hildebrand, +1 more
6citations -
Exploration of the UMAP Algorithm for Assessment of Similarity between Synthetic and Real-world Image Datasets2025 IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) conference-paper Computer Science Domain Adaptation and Few-Shot Learning
Alexander Moriz, Gabriel Ochoa de Zabalegui Apraiz, Dominik Wolfschläger, Amon Göppert, Robert Heinrich Schmitt
1citations -
Interpreting Black-box Machine Learning Models for High Dimensional Datasets2023 IEEE International Conference on Data Science and Advanced Analytics (DSAA) conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access
Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, +1 more
19citations -
Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations2023 Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands conference-paper Computer Science Medical Image Segmentation Techniques Open access
M. (Monika) Grewal, D.A.G. (Dustin) van Weersel, H. Westerveld, P.A.N. (Peter) Bosman, T. (Tanja) Alderliesten
0citations -
Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects2025 Medical Image Analysis review Computer Science Domain Adaptation and Few-Shot Learning Open access
Joohi Chauhan, Afshin Bozorgpour, Boqiang Huang, Reza Azad, Dorit Merhof
46citations -
Multi-Cohort Federated Learning Shows Synergy in Mortality Prediction for MRI-Based and Metabolomics-Based Age Scores2025 Journal of Healthcare Informatics Research article Computer Science Machine Learning in Healthcare Open access
Pedro Mateus, Swier J.F. Garst, Jing Yu, Davy Cats, Mahlet Birhanu, Marian Beekman, +15 more
3citations -
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access
Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Reza Azad, Dorit Merhof
2citations