Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders.
IEEE Access, 2021
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge.
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Proceedings of the Machine Learning for Medical Image Reconstruction, 2021
Anomaly Detection with Deep Perceptual Autoencoders.
CoRR, 2020
Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk.
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CoRR, 2019
i-RIM applied to the fastMRI challenge.
CoRR, 2019
Perceptual Image Anomaly Detection.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019
Determining causal and non-causal relationships in biomedical text by classifying verbs using a Naive Bayesian Classifier.
Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing, 2008
Learning and approximate inference in dynamic hierarchical models.
Comput. Stat. Data Anal., 2007
Modeling spontaneous speech variability in professional dictation.
Speech Commun., 2006
Fast unsupervised speaker adaptation through a discriminative eigen-MLLR algorithm.
Proceedings of the 9th European Conference on Speech Communication and Technology, 2005
Clustering ensembles of neural network models.
Neural Networks, 2003
Optimising newspaper sales using neural-Bayesian technology.
Neural Comput. Appl., 2003
Task Clustering and Gating for Bayesian Multitask Learning.
J. Mach. Learn. Res., 2003
Approximate algorithms for neural-Bayesian approaches.
Theor. Comput. Sci., 2002
Model Clustering for Neural Network Ensembles.
Proceedings of the Artificial Neural Networks, 2002
Survival Analysis: A Neural-Bayesian Approach.
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000
Model clustering by deterministic annealing.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999