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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 -
Deep data compression for approximate ultrasonic image formation2020 Utrecht University Repository (Utrecht University) book Computer Science Advanced Data Compression Techniques Open access
Georgios Pilikos, Lars Hörchens, K.J. Batenburg, T. van Leeuwen, Felix Lucka, Mathematical Modeling, +1 more
9citations -
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 -
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 -
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 -
Transfer of Hierarchical Reinforcement Learning Structures for Robotic Manipulation Tasks2020 International Conference on Computational Science and Computational Intelligence (CSCI) conference-paper Computer Science Reinforcement Learning in Robotics
Christian Scheiderer, Malte Mosbach, Andrés Felipe Posada-Moreno, Tobias Meisen
7citations -
DrugEx v2: de novo design of drug molecules by Pareto-based multi-objective reinforcement learning in polypharmacology2021 Journal of Cheminformatics article Computer Science Computational Drug Discovery Methods Open access cited by 1 patent
Xuhan Liu, Kai Ye, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen
118citations