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Leveraging Unlabeled Data for 3D Medical Image Segmentation Through Self-Supervised Contrastive Learning2024 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science Medical Image Segmentation Techniques
Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulaş Bağcı, Dorit Merhof
3citations -
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulaş Bağcı, Dorit Merhof
0citations -
LITEVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data2024 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Speech and Audio Processing
Hendrik Laux, Emil Mededovic, Ahmed Hallawa, Lukas Märtin, Arne Peine, Anke Schmeink
5citations -
TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-State Multivariate Time-Series Data2025 Studies in computational intelligence conference-paper Computer Science Anomaly Detection Techniques and Applications Open access
Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
2citations -
Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) conference-paper Computer Science Speech Recognition and Synthesis Open access
Nick Rossenbach, Mohammad Zeineldeen, Benedikt Hilmes, Ralf Schlüter, Hermann Ney
4citations -
Clustering neonatal and pediatric intensive care time series using k-means2026 German Medical Science (German Research Foundation) conference-paper Computer Science Time Series Analysis and Forecasting Open access
Anis Abdollahi-Sissan, Camelia Oprea, Lena Olivier, Mark Schoberer, André Stollenwerk
0citations -
Semi-supervised Algorithms in Resource-constrained Edge Devices: An Overview and Experimental Comparison2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics) conference-paper Computer Science Machine Learning and Algorithms5citations
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MA-VAE: Multi-Head Attention-Based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-Series Applied to Automotive Endurance Powertrain Testing2023 International Joint Conference on Computational Intelligence conference-paper Computer Science Anomaly Detection Techniques and Applications Open access
Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
9citations -
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 -
Rheumatic Digital Twin: Proposed Machine Learning–Based Multimodal Framework to Inform Clinical Decision-Making2026 Journal of Medical Internet Research article Computer Science Machine Learning in Healthcare Open access
Daniyal Selani, Rachel Knevel, Marcel Reinders, Erik B. van den Akker
0citations -
Activity recognition using wearable sensors for tracking the elderly2020 User Modeling and User-Adapted Interaction article Computer Science Context-Aware Activity Recognition Systems Open access
Stylianos Paraschiakos, Ricardo Cachucho, Matthijs Moed, Diana van Heemst, Simon P. Mooijaart, P. Eline Slagboom, +2 more
60citations -
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Monika Grewal, Dustin van Weersel, Henrike G. Westerveld, Peter A. N. Bosman, Tanja Alderliesten
1citations