Peter J. F. Lucas

Marina Velikova, Peter J. F. Lucas, Maurice Samulski, Nico Karssemeijer: On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks. Artificial Intelligence in Medicine 57(1): 73-86 (2013)

Arjen Hommersom, Peter J. F. Lucas: Probabilistic problem solving in biomedicine. Artificial Intelligence in Medicine 57(3): 169-170 (2013)

Martijn Lappenschaar, Arjen Hommersom, Peter J. F. Lucas, Joep Lagro, Stefan Visscher: Multilevel Bayesian networks for the analysis of hierarchical health care data. Artificial Intelligence in Medicine 57(3): 171-183 (2013)

Marina Velikova, Peter J. F. Lucas, Maurice Samulski, Nico Karssemeijer: A probabilistic framework for image information fusion with an application to mammographic analysis. Medical Image Analysis 16(4): 865-875 (2012)

Steffen Michels, Marina Velikova, Peter J. F. Lucas: Probabilistic Model-Based Assessment of Information Quality in Uncertain Domains. Australasian Conference on Artificial Intelligence 2012: 890-901

Luc De Raedt, Christian Bessière, Didier Dubois, Patrick Doherty, Paolo Frasconi, Fredrik Heintz, Peter J. F. Lucas (Eds.): ECAI 2012 - 20th European Conference on Artificial Intelligence. Including Prestigious Applications of Artificial Intelligence (PAIS-2012) System Demonstrations Track, Montpellier, France, August 27-31 , 2012. Frontiers in Artificial Intelligence and Applications 242, IOS Press 2012, isbn 978-1-61499-097-0

Maarten van der Heijden, Bas Lijnse, Peter J. F. Lucas, Yvonne F. Heijdra, Tjard R. J. Schermer: Managing COPD Exacerbations with Telemedicine. AIME 2011: 169-178

Marina Velikova, Peter J. F. Lucas, Marc Spaanderman: A Predictive Bayesian Network Model for Home Management of Preeclampsia. AIME 2011: 179-183

Sander Evers, Peter J. F. Lucas: Marginalization without Summation Exploiting Determinism in Factor Algebra. ECSQARU 2011: 251-262

Arjen Hommersom, Peter J. F. Lucas: Generalising the Interaction Rules in Probabilistic Logic. IJCAI 2011: 912-917

Niels Radstake, Peter J. F. Lucas, Marina Velikova, Maurice Samulski: Critiquing Knowledge Representation in Medical Image Interpretation Using Structure Learning. KR4HC 2010: 56-69

Arjen Hommersom, Peter J. F. Lucas: Using Bayesian Networks in an Industrial Setting: Making Printing Systems Adaptive. ECAI 2010: 401-406

Marina Velikova, Peter J. F. Lucas, Marc Spaanderman: e-MomCare: A Personalised Home-Monitoring System for Pregnancy Disorders. eHealth 2010: 267-274

Saskia Robben, Marina Velikova, Peter J. F. Lucas, Maurice Samulski: Discretisation Does Affect the Performance of Bayesian Networks. SGAI Conf. 2010: 237-250

Perry Groot, Arjen Hommersom, Peter J. F. Lucas, Robbert-Jan Merk, Annette ten Teije, Frank van Harmelen, Radu Serban: Using model checking for critiquing based on clinical guidelines. Artificial Intelligence in Medicine 46(1): 19-36 (2009)

Stefan Visscher, Peter J. F. Lucas, Carolina A. M. Schurink, Marc J. M. Bonten: Modelling treatment effects in a clinical Bayesian network using Boolean threshold functions. Artificial Intelligence in Medicine 46(3): 251-266 (2009)

Theodore Charitos, Linda C. van der Gaag, Stefan Visscher, Karin Schurink, Peter J. F. Lucas: A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients. Expert Syst. Appl. 36(2): 1249-1258 (2009)

Maarten van der Heijden, Peter J. F. Lucas: Extracting Qualitative Knowledge from Medical Guidelines for Clinical Decision-Support Systems. KR4HC 2009: 100-112

Marina Velikova, Maurice Samulski, Peter J. F. Lucas, Nico Karssemeijer: Causal Probabilistic Modelling for Two-View Mammographic Analysis. AIME 2009: 395-404

Nivea de Carvalho Ferreira, Peter J. F. Lucas: Modelling Screening Mammography Images: A Probabilistic Relational Approach. AIME 2009: 405-409

Nivea de Carvalho Ferreira, Peter J. F. Lucas: Probabilistic relational modelling of mammographic images. CBMS 2009: 1-8

Ildikó Flesch, Peter J. F. Lucas: The Probabilistic Interpretation of Model-Based Diagnosis. ECSQARU 2009: 204-215

Arjen Hommersom, Nivea de Carvalho Ferreira, Peter J. F. Lucas: Integrating Logical Reasoning and Probabilistic Chain Graphs. ECML/PKDD (1) 2009: 548-563

Concha Bielza, Juan A. Fernández del Pozo, Peter J. F. Lucas: Explaining clinical decisions by extracting regularity patterns. Decision Support Systems 44(2): 397-408 (2008)

Marcel van Gerven, Peter J. F. Lucas, Theo P. van der Weide: A generic qualitative characterization of independence of causal influence. Int. J. Approx. Reasoning 48(1): 214-236 (2008)

Marcel van Gerven, Babs G. Taal, Peter J. F. Lucas: Dynamic Bayesian networks as prognostic models for clinical patient management. Journal of Biomedical Informatics 41(4): 515-529 (2008)

Arjen Hommersom, Peter J. F. Lucas, Patrick van Bommel: Checking the quality of clinical guidelines using automated reasoning tools. TPLP 8(5-6): 611-641 (2008)

Marina Velikova, Maurice Samulski, Nico Karssemeijer, Peter J. F. Lucas: Toward Expert Knowledge Representation for Automatic Breast Cancer Detection. AIMSA 2008: 333-344

Marina Velikova, Peter J. F. Lucas, Nivea de Carvalho Ferreira, Maurice Samulski, Nico Karssemeijer: A decision support system for breast cancer detection in screening programs. ECAI 2008: 658-662

Ildikó Flesch, Peter J. F. Lucas: Combining Abduction with Conflict-based Diagnosis. ECAI 2008: 807-808

Arjen Hommersom, Peter J. F. Lucas, Patrick van Bommel: Checking the Quality of Clinical Guidelines using Automated Reasoning Tools. CoRR abs/0806.0250 (2008)

Marcel van Gerven, Rasa Jurgelenaite, Babs G. Taal, Tom Heskes, Peter J. F. Lucas: Predicting carcinoid heart disease with the noisy-threshold classifier. Artificial Intelligence in Medicine 40(1): 45-55 (2007)

Marcel van Gerven, Francisco Javier Díez, Babs G. Taal, Peter J. F. Lucas: Selecting treatment strategies with dynamic limited-memory influence diagrams. Artificial Intelligence in Medicine 40(3): 171-186 (2007)

Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt: Combining task execution and background knowledge for the verification of medical guidelines. Knowl.-Based Syst. 20(2): 113-119 (2007)

Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt: Verification of Medical Guidelines Using Background Knowledge in Task Networks. IEEE Trans. Knowl. Data Eng. 19(6): 832-846 (2007)

Stefan Visscher, Peter J. F. Lucas, Ildikó Flesch, Karin Schurink: Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes. AIME 2007: 87-96

Marina Velikova, Nivea de Carvalho Ferreira, Peter J. F. Lucas: Bayesian Network Decomposition for Modeling Breast Cancer Detection. AIME 2007: 346-350

Perry Groot, Arjen Hommersom, Peter J. F. Lucas, Radu Serban, Annette ten Teije, Frank van Harmelen: The Role of Model Checking in Critiquing Based on Clinical Guidelines. AIME 2007: 411-420

Arjen Hommersom, Peter J. F. Lucas: Actions with Failures in Interval Temporal Logic. CLIMA 2007: 22-41

Ildikó Flesch, Peter J. F. Lucas: Independence Decomposition in Dynamic Bayesian Networks. ECSQARU 2007: 560-571

Ildikó Flesch, Peter J. F. Lucas, Theo P. van der Weide: Conflict-Based Diagnosis: Adding Uncertainty to Model-based Diagnosis. IJCAI 2007: 380-

Annette ten Teije, Mar Marcos, Michael Balser, Joyce van Croonenborg, Christoph Duelli, Frank van Harmelen, Peter J. F. Lucas, Silvia Miksch, Wolfgang Reif, Kitty Rosenbrand, Andreas Seyfang: Improving medical protocols by formal methods. Artificial Intelligence in Medicine 36(3): 193-209 (2006)

Peter J. F. Lucas, José A. Gámez, Antonio Salmerón: Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004. Int. J. Approx. Reasoning 42(1-2): 1-3 (2006)

Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt: Verification of Medical Guidelines Using Task Execution with Background Knowledge. ECAI 2006: 835-836

Peter J. F. Lucas: Bayesian network modelling through qualitative patterns. Artif. Intell. 163(2): 233-263 (2005)

Rasa Jurgelenaite, Peter J. F. Lucas: Exploiting causal independence in large Bayesian networks. Knowl.-Based Syst. 18(4-5): 153-162 (2005)

Stefan Visscher, Peter J. F. Lucas, Karin Schurink, Marc Bonten: Using a Bayesian-Network Model for the Analysis of Clinical Time-Series Data. AIME 2005: 48-52

Arjen Hommersom, Peter J. F. Lucas, Patrick van Bommel, Theo P. van der Weide: A History-Based Algebra for Quality-Checking Medical Guidelines. AIME 2005: 161-165

Arjen Hommersom, Peter J. F. Lucas, Patrick van Bommel: Argumentation Systems for History-Based Construction of Medical Guidelines. BNAIC 2005: 135-142

Rasa Jurgelenaite, Peter J. F. Lucas, Tom Heskes: Use of the Noisy Threshold Function in Building Bayesian Networks. BNAIC 2005: 158-165

Marcel van Gerven, Peter J. F. Lucas, Theo P. van der Weide: A Qualitative Characterisation of Causal Independence Models Using Boolean Polynomials. ECSQARU 2005: 244-256

Stefan Visscher, Peter J. F. Lucas, Marc Bonten, Karin Schurink: Improving the Therapeutic Performance of a Medical Bayesian Network Using Noisy Threshold Models. ISBMDA 2005: 161-172

Peter J. F. Lucas, Linda C. van der Gaag, Ameen Abu-Hanna: Bayesian networks in biomedicine and health-care. Artificial Intelligence in Medicine 30(3): 201-214 (2004)

Peter J. F. Lucas, Ruud Kuipers, Frederick Feith: A System for Pacemaker Treatment Advice. ECAI 2004: 735-739

Rasa Jurgelenaite, Peter J. F. Lucas: Parameter Estimation in Large Causal Models. ECAI 2004: 1037-1038

Marcel van Gerven, Peter J. F. Lucas: Employing Maximum Mutual Information for Bayesian Classification. ISBMDA 2004: 188-199

Arjen Hommersom, Peter J. F. Lucas, Michael Balser: Meta-level Verification of the Quality of Medical Guidelines Using Interactive Theorem Proving. JELIA 2004: 654-666

Rasa Jurgelenaite, Peter J. F. Lucas: Exploiting Causal Independence in Large Bayesian Networks. SGAI Conf. 2004: 157-170

Marcel van Gerven, Peter J. F. Lucas: Using Background Knowledge to Construct Bayesian Classifiers for Data-Poor Domains. SGAI Conf. 2004: 269-282

Concha Bielza, Juan A. Fernández del Pozo, Peter J. F. Lucas: Finding and Explaining Optimal Treatments. AIME 2003: 299-303

Kenneth N. Brown, Peter J. F. Lucas, David W. Fowler: Decision Network Semantics of Branching Constraint Satisfaction Problems. ECSQARU 2003: 230-242

Peter J. F. Lucas: Bayesian Network Modelling by Qualitative Patterns. ECAI 2002: 690-694

Peter J. F. Lucas: Restricted Bayesian Network Structure Learning. Probabilistic Graphical Models 2002

Peter J. F. Lucas: Bayesian model-based diagnosis. Int. J. Approx. Reasoning 27(2): 99-119 (2001)

Peter J. F. Lucas: Certainty-factor-like structures in Bayesian belief networks. Knowl.-Based Syst. 14(7): 327-335 (2001)

Peter J. F. Lucas: Expert Knowledge and Its Role in Learning Bayesian Networks in Medicine: An Appraisal. AIME 2001: 156-166

Nicolette de Bruijn, Peter J. F. Lucas, Karin Schurink, Marc Bonten, Andy Hoepelman: Using Temporal Probabilistic Knowledge for Medical Decision Making. AIME 2001: 231-234

Agnieszka Onisko, Peter J. F. Lucas, Marek J. Druzdzel: Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems. AIME 2001: 283-292

Xiaofeng Wu, Peter J. F. Lucas, Susan Kerr, Roelf Dijkhuizen: Learning Bayesian-Network Topologies in Realistic Medical Domains. ISMDA 2001: 302-308

Peter J. F. Lucas, Nicolette de Bruijn, Karin Schurink, Andy Hoepelman: A probabilistic and decision-theoretic approach to the management of infectious disease at the ICU. Artificial Intelligence in Medicine 19(3): 251-279 (2000)

Peter J. F. Lucas, Astrid Tholen, Geeske van Oort: An intelligent system for pacemaker reprogramming. Artificial Intelligence in Medicine 17(3): 249-269 (1999)

Peter J. F. Lucas: Certainty-Factor-Like Structures in Bayesian Networks. AI*IA 1999: 25-36

Peter J. F. Lucas, Astrid Tholen, Geeske van Oort: A Model-Based System for Pacemaker Reprogramming. AIMDM 1999: 175-184

Peter J. F. Lucas: Analysis of Notions of Diagnosis. Artif. Intell. 105(1-2): 295-343 (1998)

Peter J. F. Lucas, Henk Boot, Babs G. Taal: A decision-theoretic network approach to treatment management and prognosis. Knowl.-Based Syst. 11(5-6): 321-330 (1998)

Peter J. F. Lucas: Model-based diagnosis in medicine. Artificial Intelligence in Medicine 10(3): 201-208 (1997)

Peter J. F. Lucas: A Theory of Medical Diagnosis as Hypothesis Refinement. AIME 1997: 169-180

Peter J. F. Lucas: Refinement of the HEPAR expert system: tools and techniques. Artificial Intelligence in Medicine 6(2): 175-188 (1994)

Peter J. F. Lucas: The representation of medical reasoning models in resolution-based theorem provers. Artificial Intelligence in Medicine 5(5): 395-414 (1993)

Peter J. F. Lucas, Linda C. van der Gaag: Principles of expert systems. International computer science series, Addison-Wesley 1991, isbn 978-0-201-41640-4, pp. I-XVII, 1-518