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Data-driven decoding of quantum error correcting codes using graph neural networks2025 Physical Review Research article Computer Science Quantum Computing Algorithms and Architecture Open access
Moritz Lange, Pontus Havström, Basudha Srivastava, Isak Bengtsson, Valdemar Bergentall, Karl Hammar, +3 more
24citations -
Cooperative AI training for cardiothoracic segmentation in computed tomography: An iterative multi-center annotation approach2024 European Journal of Radiology article Computer Science Medical Image Segmentation Techniques Open access
Bianca C Lassen-Schmidt, Bettina Baeßler, Matthias Gutberlet, Josephine Berger, Jan Michael Brendel, Andreas Michael Bucher, +17 more
4citations -
Mandible segmentation from CT data for virtual surgical planning using an augmented two-stepped convolutional neural network2023 International Journal of Computer Assisted Radiology and Surgery article Computer Science Medical Image Segmentation Techniques Open access
Tobias Pankert, Hyun Lee, Florian Peters, Frank Hölzle, Ali Modabber, Stefan Raith
24citations -
Eating Sound Dataset for 20 Food Types and Sound Classification Using Convolutional Neural Networks2020 Companion Publication of the International Conference on Multimodal Interaction (ICMI Companion) conference-paper Computer Science Music and Audio Processing
Jeannette Shijie, Marcello A. Gómez-Maureira, Jan N. van Rijn
4citations -
Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching2025 neural information processing systems conference-paper Computer Science Anomaly Detection Techniques and Applications Open access
Zhong Li, Qi Zhong Huang, Yuxuan Zhu, Lincen Yang, Mohammad Mohammadi Amiri, Bas van Stein, +1 more
1citations -
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning2023 arXiv (Cornell University) preprint Computer Science Anomaly Detection Techniques and Applications Open access
Yongqi Dong, Xingmin Lu, Ruohan Li, Wei Song, Bart van Arem, Haneen Farah
0citations -
Prospective Evaluation of Structure-Based Simulations Reveal Their Ability to Predict the Impact of Kinase Mutations on Inhibitor Binding2025 The Journal of Physical Chemistry B article Computer Science Computational Drug Discovery Methods Open access
Sukrit Singh, Vytautas Gapsys, Matteo Aldeghi, David Schaller, Aziz M. Rangwala, Jessica B. White, +10 more
15citations -
Prospective evaluation of structure-based simulations reveal their ability to predict the impact of kinase mutations on inhibitor binding2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access
Sukrit Singh, Vytautas Gapsys, Matteo Aldeghi, David Schaller, Aziz M. Rangwala, Jessica B. White, +10 more
3citations