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Studies in Health Technology and Informatics|September 16, 2010
Using local context information to improve automatic mammographic mass detectionMarina Velikova, Peter J F Lucas, Nico KarssemeijerbAMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
Probabilistic causal models of multimorbidity conceptsMartijn Lappenschaar, Arjen Hommersom, Peter J F LucasArtificial Intelligence in Medicine|November 5, 2013
Describing disease processes using a probabilistic logic of qualitative timeMaarten van der Heijden, Peter J F LucasSouthern Medical Journal|December 1, 1984
Acute yersiniosis and its surgical significanceA J Olinde, J F Lucas, R C MillerPhysics in Medicine and Biology|January 29, 2009
Improved mammographic CAD performance using multi-view information: a Bayesian network frameworkMarina Velikova, Maurice Samulski, Peter J F Lucas, et al.Artificial Intelligence in Medicine|February 12, 2013
On the interplay of machine learning and background knowledge in image interpretation by Bayesian networksMarina Velikova, Peter J F Lucas, Maurice Samulski, et al.Journal of Biomedical Informatics|December 24, 2013
Learning Bayesian networks for clinical time series analysisMaarten van der Heijden, Marina Velikova, Peter J F LucasMedical Image Analysis|February 14, 2012
A probabilistic framework for image information fusion with an application to mammographic analysisMarina Velikova, Peter J F Lucas, Maurice Samulski, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|January 24, 2017
Exploiting Experts' Knowledge for Structure Learning of Bayesian NetworksHossein Amirkhani, Mohammad Rahmati, Peter J F Lucas, et al.Pageof 4