Principles of expert systems. - Peter J. F. Lucas; Linda C. van der Gaag (Addison-Wesley, 1991)

The representation of medical reasoning models in resolution-based theorem provers. - Peter J. F. Lucas (Artif. Intell. Medicine, 1993)

Refinement of the HEPAR expert system: tools and techniques. - Peter J. F. Lucas (Artif. Intell. Medicine, 1994)

Logic engineering in medicine. - Peter J. F. Lucas (Knowl. Eng. Rev., 1995)

A Theory of Medical Diagnosis as Hypothesis Refinement. - Peter J. F. Lucas (AIME, 1997)

Model-based diagnosis in medicine. - Peter J. F. Lucas (Artif. Intell. Medicine, 1997)

Analysis of Notions of Diagnosis. - Peter J. F. Lucas (Artif. Intell., 1998)

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

Certainty-Factor-Like Structures in Bayesian Networks. - Peter J. F. Lucas (AI*IA, 1999)

A Model-Based System for Pacemaker Reprogramming. - Peter J. F. Lucas; Astrid Tholen; Geeske van Oort (AIMDM, 1999)

A Probabilistic Approach to Improved Antibiotic Therapy. - Nicolette de Bruijn; Peter J. F. Lucas; Karin Schurink; Andy Hoepelman (MIE, 1999)

An intelligent system for pacemaker reprogramming. - Peter J. F. Lucas; Astrid Tholen; Geeske van Oort (Artif. Intell. Medicine, 1999)

A probabilistic and decision-theoretic approach to the management of infectious disease at the ICU. - Peter J. F. Lucas; Nicolette de Bruijn; Karin Schurink; Andy Hoepelman (Artif. Intell. Medicine, 2000)

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

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

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

Learning Bayesian-Network Topologies in Realistic Medical Domains. - Xiaofeng Wu; Peter J. F. Lucas; Susan Kerr; Roelf Dijkhuizen (ISMDA, 2001)

Bayesian model-based diagnosis. - Peter J. F. Lucas (Int. J. Approx. Reason., 2001)

Certainty-factor-like structures in Bayesian belief networks. - Peter J. F. Lucas (Knowl. Based Syst., 2001)

Bayesian Network Modelling by Qualitative Patterns. - Peter J. F. Lucas (ECAI, 2002)

Restricted Bayesian Network Structure Learning. - Peter J. F. Lucas (Probabilistic Graphical Models, 2002)

Finding and Explaining Optimal Treatments. - Concha Bielza; Juan A. Fernández del Pozo; Peter J. F. Lucas (AIME, 2003)

Decision Network Semantics of Branching Constraint Satisfaction Problems. - Kenneth N. Brown; Peter J. F. Lucas; David W. Fowler (ECSQARU, 2003)

Optimal Decision Explanation by Extracting Regularity Patterns. - Concha Bielza; Juan A. Fernández del Pozo; Peter J. F. Lucas (SGAI Conf., 2003)

Quality Checking of Medical Guidelines through Logical Abduction. - Peter J. F. Lucas (SGAI Conf., 2003)

Protocure: Supporting the Development of Medical Protocols through Formal Methods. - Michael Balser; Óscar Coltell; Joyce van Croonenborg; Christoph Duelli; Frank van Harmelen; Albert Jovell; Peter J. F. Lucas; Mar Marcos; Silvia Miksch; Wolfgang Reif; Kitty Rosenbrand; Andreas Seyfang; et al. (CGP, 2004)

Parameter Estimation in Large Causal Models. - Rasa Jurgelenaite; Peter J. F. Lucas (ECAI, 2004)

A System for Pacemaker Treatment Advice. - Peter J. F. Lucas; Ruud Kuipers; Frederick Feith (ECAI, 2004)

Employing Maximum Mutual Information for Bayesian Classification. - Marcel van Gerven; Peter J. F. Lucas (ISBMDA, 2004)

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

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

Bayesian networks in biomedicine and health-care. - Peter J. F. Lucas; Linda C. van der Gaag; Ameen Abu-Hanna (Artif. Intell. Medicine, 2004)

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

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

Argumentation Systems for History-Based Construction of Medical Guidelines. - Arjen Hommersom; Peter J. F. Lucas; Patrick van Bommel (BNAIC, 2005)

Use of the Noisy Threshold Function in Building Bayesian Networks. - Rasa Jurgelenaite; Peter J. F. Lucas; Tom Heskes (BNAIC, 2005)

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

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

Exploring the Noisy Threshold Function in Designing Bayesian Networks. - Rasa Jurgelenaite; Peter J. F. Lucas; Tom Heskes (SGAI Conf., 2005)

Bayesian network modelling through qualitative patterns. - Peter J. F. Lucas (Artif. Intell., 2005)

Exploiting causal independence in large Bayesian networks. - Rasa Jurgelenaite; Peter J. F. Lucas (Knowl. Based Syst., 2005)

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

Graphical Reasoning with Bayesian Networks. - Ildikó Flesch; Peter J. F. Lucas (SGAI Conf., 2006)

Improving medical protocols by formal methods. - 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 (Artif. Intell. Medicine, 2006)

Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004. - Peter J. F. Lucas; José A. Gámez 001; Antonio Salmerón (Int. J. Approx. Reason., 2006)

Qualitative futures. - Chris J. Price; Louise Travé-Massuyès; Robert Milne; Liliana Ironi; Kenneth D. Forbus; Bert Bredeweg; Mark H. Lee; Peter Struss; N. A. Snooke; Peter J. F. Lucas; Marc Cavazza; George Macleod Coghill (Knowl. Eng. Rev., 2006)

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

Bayesian Network Decomposition for Modeling Breast Cancer Detection. - Marina Velikova; Nivea de Carvalho Ferreira; Peter J. F. Lucas (AIME, 2007)

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

Actions with Failures in Interval Temporal Logic. - Arjen Hommersom; Peter J. F. Lucas (CLIMA, 2007)

Independence Decomposition in Dynamic Bayesian Networks. - Ildikó Flesch; Peter J. F. Lucas (ECSQARU, 2007)

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

Classification of mammographic masses using support vector machines and Bayesian networks. - Maurice Samulski; Nico Karssemeijer; Peter J. F. Lucas; Perry Groot (Computer-Aided Diagnosis, 2007)

Selecting treatment strategies with dynamic limited-memory influence diagrams. - Marcel van Gerven; Francisco Javier Díez 001; Babs G. Taal; Peter J. F. Lucas (Artif. Intell. Medicine, 2007)

Predicting carcinoid heart disease with the noisy-threshold classifier. - Marcel van Gerven; Rasa Jurgelenaite; Babs G. Taal; Tom Heskes; Peter J. F. Lucas (Artif. Intell. Medicine, 2007)

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

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

Adaptation of Clinical Practice Guidelines. - Perry Groot; Arjen Hommersom; Peter J. F. Lucas (Computer-based Medical Guidelines and Protocols, 2008)

Formal Methods for Verification of Clinical Practice Guidelines. - Arjen Hommersom; Perry Groot; Michael Balser; Peter J. F. Lucas (Computer-based Medical Guidelines and Protocols, 2008)

A Constraint-based Approach to Medical Guidelines and Protocols. - Arjen Hommersom; Perry Groot; Peter J. F. Lucas; Mar Marcos; Begoña Martínez-Salvador (Computer-based Medical Guidelines and Protocols, 2008)

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

Combining Abduction with Conflict-based Diagnosis. - Ildikó Flesch; Peter J. F. Lucas (ECAI, 2008)

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

Explaining clinical decisions by extracting regularity patterns. - Concha Bielza; Juan A. Fernández del Pozo; Peter J. F. Lucas (Decis. Support Syst., 2008)

A generic qualitative characterization of independence of causal influence. - Marcel van Gerven; Peter J. F. Lucas; Theo P. van der Weide (Int. J. Approx. Reason., 2008)

Dynamic Bayesian networks as prognostic models for clinical patient management. - Marcel van Gerven; Babs G. Taal; Peter J. F. Lucas (J. Biomed. Informatics, 2008)

Checking the quality of clinical guidelines using automated reasoning tools. - Arjen Hommersom; Peter J. F. Lucas; Patrick van Bommel (Theory Pract. Log. Program., 2008)

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

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

Causal Probabilistic Modelling for Two-View Mammographic Analysis. - Marina Velikova; Maurice Samulski; Peter J. F. Lucas; Nico Karssemeijer (AIME, 2009)

Probabilistic relational modelling of mammographic images. - Nivea de Carvalho Ferreira; Peter J. F. Lucas (CBMS, 2009)

The Probabilistic Interpretation of Model-Based Diagnosis. - Ildikó Flesch; Peter J. F. Lucas (ECSQARU, 2009)

Learning Parameters of Chain Logic Theories. - Arjen Hommersom; Nivea de Carvalho Ferreira; Peter J. F. Lucas (MLG/SRL@ILP, 2009)

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

Applying Bayesian networks for intelligent adaptable printing systems. - Arjen Hommersom; Peter J. F. Lucas; René Waarsing; Pieter W. M. Koopman (WISES, 2009)

Using model checking for critiquing based on clinical guidelines. - Perry Groot; Arjen Hommersom; Peter J. F. Lucas; Robbert-Jan Merk; Annette ten Teije; Frank van Harmelen; Radu Serban (Artif. Intell. Medicine, 2009)

Modelling treatment effects in a clinical Bayesian network using Boolean threshold functions. - Stefan Visscher; Peter J. F. Lucas; Carolina A. M. Schurink; Marc J. M. Bonten (Artif. Intell. Medicine, 2009)

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

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

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

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

Using Local Context Information to Improve Automatic Mammographic Mass Detection. - Marina Velikova; Peter J. F. Lucas; Nico Karssemeijer (MedInfo, 2010)

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

Towards Games for Knowledge Acquisition and Modeling. - Stijn Hoppenbrouwers; Bart Schotten; Peter J. F. Lucas (Int. J. Gaming Comput. Mediat. Simulations, 2010)

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

A Predictive Bayesian Network Model for Home Management of Preeclampsia. - Marina Velikova; Peter J. F. Lucas; Marc Spaanderman (AIME, 2011)

Marginalization without Summation Exploiting Determinism in Factor Algebra. - Sander Evers; Peter J. F. Lucas (ECSQARU, 2011)

Generalising the Interaction Rules in Probabilistic Logic. - Arjen Hommersom; Peter J. F. Lucas (IJCAI, 2011)

Applying Bayesian Networks for Intelligent Adaptable Printing Systems. - Arjen Hommersom; Peter J. F. Lucas; René Waarsing; Pieter W. M. Koopman (Solutions on Embedded Systems, 2011)

Probabilistic Causal Models of Multimorbidity Concepts. - Martijn Lappenschaar; Arjen Hommersom; Peter J. F. Lucas (AMIA, 2012)

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

Probabilistic models for smart monitoring. - Maarten van der Heijden; Peter J. F. Lucas (CBMS, 2012)

Fully-automated interpretation of biochemical tests for decision support by smartphones. - Marina Velikova; Peter J. F. Lucas; Ruben L. Smeets; Josien Terwisscha van Scheltinga (CBMS, 2012)

A probabilistic framework for image information fusion with an application to mammographic analysis. - Marina Velikova; Peter J. F. Lucas; Maurice Samulski; Nico Karssemeijer (Medical Image Anal., 2012)

Discovering Probabilistic Structures of Healthcare Processes. - Arjen Hommersom; Sicco Verwer; Peter J. F. Lucas (KR4HC/ProHealth, 2013)

Understanding the Co-occurrence of Diseases Using Structure Learning. - Martijn Lappenschaar; Arjen Hommersom; Joep Lagro; Peter J. F. Lucas (AIME, 2013)

MoSHCA - my mobile and smart health care assistant. - Arjen Hommersom; Peter J. F. Lucas; Marina Velikova; Giso H. Dal; Joaquim Bastos; Jonathan Rodriguez 001; Marleen Germs; Henk Schwietert (Healthcom, 2013)

Inference for a New Probabilistic Constraint Logic. - Steffen Michels; Arjen Hommersom; Peter J. F. Lucas; Marina Velikova; Pieter W. M. Koopman (IJCAI, 2013)

A Decision Support Model for Uncertainty Reasoning in Safety and Security Tasks. - Steffen Michels; Marina Velikova; Arjen Hommersom; Peter J. F. Lucas (SMC, 2013)

Describing disease processes using a probabilistic logic of qualitative time. - Maarten van der Heijden; Peter J. F. Lucas (Artif. Intell. Medicine, 2013)

Probabilistic problem solving in biomedicine. - Arjen Hommersom; Peter J. F. Lucas (Artif. Intell. Medicine, 2013)

Multilevel Bayesian networks for the analysis of hierarchical health care data. - Martijn Lappenschaar; Arjen Hommersom; Peter J. F. Lucas; Joep Lagro; Stefan Visscher (Artif. Intell. Medicine, 2013)

On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks. - Marina Velikova; Peter J. F. Lucas; Maurice Samulski; Nico Karssemeijer (Artif. Intell. Medicine, 2013)

An autonomous mobile system for the management of COPD. - Maarten van der Heijden; Peter J. F. Lucas; Bas Lijnse; Yvonne F. Heijdra; Tjard R. J. Schermer (J. Biomed. Informatics, 2013)

Imprecise Probabilistic Horn Clause Logic. - Steffen Michels; Arjen Hommersom; Peter J. F. Lucas; Marina Velikova (ECAI, 2014)

Qualitative chain graphs and their application. - Martijn Lappenschaar; Arjen Hommersom; Peter J. F. Lucas (Int. J. Approx. Reason., 2014)

Exploiting causal functional relationships in Bayesian network modelling for personalised healthcare. - Marina Velikova; Josien Terwisscha van Scheltinga; Peter J. F. Lucas; Marc Spaanderman (Int. J. Approx. Reason., 2014)

Learning Bayesian networks for clinical time series analysis. - Maarten van der Heijden; Marina Velikova; Peter J. F. Lucas (J. Biomed. Informatics, 2014)

An Introduction to Knowledge Representation and Reasoning in Healthcare. - Arjen Hommersom; Peter J. F. Lucas (Foundations of Biomedical Knowledge Representation, 2015)

How to Read the Book "Foundations of Biomedical Knowledge Representation". - Peter J. F. Lucas; Arjen Hommersom (Foundations of Biomedical Knowledge Representation, 2015)

Representing Knowledge for Clinical Diagnostic Reasoning. - Peter J. F. Lucas; Felipe Orihuela-Espina (Foundations of Biomedical Knowledge Representation, 2015)

Mining Hierarchical Pathology Data Using Inductive Logic Programming. - Tim Op De Beéck; Arjen Hommersom; Jan Van Haaren; Maarten van der Heijden; Jesse Davis; Peter J. F. Lucas; Lucy Overbeek; Iris Nagtegaal (AIME, 2015)

A new probabilistic constraint logic programming language based on a generalised distribution semantics. - Steffen Michels; Arjen Hommersom; Peter J. F. Lucas; Marina Velikova (Artif. Intell., 2015)

Intelligent Disease Self-Management with Mobile Technology. - Marina Velikova; Peter J. F. Lucas; Maarten van der Heijden (Computer, 2015)

Modeling the Interactions between Discrete and Continuous Causal Factors in Bayesian Networks. - Peter J. F. Lucas; Arjen Hommersom (Int. J. Intell. Syst., 2015)

Approximate Probabilistic Inference with Bounded Error for Hybrid Probabilistic Logic Programming. - Steffen Michels; Arjen Hommersom; Peter J. F. Lucas (IJCAI, 2016)

Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case. - Marcos L. P. Bueno; Arjen Hommersom; Peter J. F. Lucas; Sicco Verwer; Alexis Linard (Probabilistic Graphical Models, 2016)

Learning Parameters of Hybrid Time Bayesian Networks. - Manxia Liu; Arjen Hommersom; Maarten van der Heijden; Peter J. F. Lucas (Probabilistic Graphical Models, 2016)

Understanding disease processes by partitioned dynamic Bayesian networks. - Marcos L. P. Bueno; Arjen Hommersom; Peter J. F. Lucas; Martijn Lappenschaar; Joost G. E. Janzing (J. Biomed. Informatics, 2016)

Reducing the Cost of Probabilistic Knowledge Compilation. - Peter J. F. Lucas; Giso H. Dal; Steffen Michels (AMBN, 2017)

An improved diagnostic method for probabilistic consistency-based diagnosis. - Marcos Luiz de Paula Bueno; Arjen Hommersom; Peter J. F. Lucas (DX, 2017)

Asymmetric hidden Markov models. - Marcos L. P. Bueno; Arjen Hommersom; Peter J. F. Lucas; Alexis Linard (Int. J. Approx. Reason., 2017)

Weighted positive binary decision diagrams for exact probabilistic inference. - Giso H. Dal; Peter J. F. Lucas (Int. J. Approx. Reason., 2017)

Hybrid time Bayesian networks. - Manxia Liu; Arjen Hommersom; Maarten van der Heijden; Peter J. F. Lucas (Int. J. Approx. Reason., 2017)

Exploiting Experts' Knowledge for Structure Learning of Bayesian Networks. - Hossein Amirkhani; Mohammad Rahmati; Peter J. F. Lucas; Arjen Hommersom (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Representing Hypoexponential Distributions in Continuous Time Bayesian Networks. - Manxia Liu; Fabio Stella; Arjen Hommersom; Peter J. F. Lucas (IPMU (3), 2018)

Parallel Probabilistic Inference by Weighted Model Counting. - Giso H. Dal; Alfons W. Laarman; Peter J. F. Lucas (PGM, 2018)

Making Continuous Time Bayesian Networks More Flexible. - Manxia Liu; Fabio Stella; Arjen Hommersom; Peter J. F. Lucas (PGM, 2018)

Modeling the Dynamics of Multiple Disease Occurrence by Latent States. - Marcos L. P. Bueno; Arjen Hommersom; Peter J. F. Lucas; Mariana Lobo; Pedro Pereira Rodrigues (SUM, 2018)

A Data-Driven Exploration of Hypotheses on Disease Dynamics. - Marcos L. P. Bueno; Arjen Hommersom; Peter J. F. Lucas; Joost G. E. Janzing (AIME, 2019)

A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity. - Manxia Liu; Fabio Stella; Arjen Hommersom; Peter J. F. Lucas; Lonneke Boer; Erik Bischoff (Artif. Intell. Medicine, 2019)

A probabilistic framework for predicting disease dynamics: A case study of psychotic depression. - Marcos L. P. Bueno; Arjen Hommersom; Peter J. F. Lucas; Joost G. E. Janzing (J. Biomed. Informatics, 2019)

Temporal Exceptional Model Mining Using Dynamic Bayesian Networks. - Marcos L. P. Bueno; Arjen Hommersom; Peter J. F. Lucas (AALTD@PKDD/ECML, 2020)

User-Centered Development of a Clinical Decision Support System. - Anna Kleinau; Alex Mo; Juliane Müller-Sielaff; Johanna M. A. Pijnenborg; Peter J. F. Lucas; Steffen Oeltze-Jafra (SMARTERCARE@AI*IA, 2021)

A compositional approach to probabilistic knowledge compilation. - Giso H. Dal; Alfons W. Laarman; Arjen Hommersom; Peter J. F. Lucas (Int. J. Approx. Reason., 2021)

Risk Assessment of Lymph Node Metastasis in Endometrial Cancer Patients: A Causal Approach. - Alessio Zanga; Alice Bernasconi; Peter J. F. Lucas; Hanny Pijnenborg; Casper Reijnen; Marco Scutari; Fabio Stella (HC@AIxIA, 2022)

Towards a Transportable Causal Network Model Based on Observational Healthcare Data. - Alice Bernasconi; Alessio Zanga; Peter J. F. Lucas; Marco Scutari; Fabio Antonio Stella (HC@AIxIA, 2023)

Causal Discovery with Missing Data in a Multicentric Clinical Study. - Alessio Zanga; Alice Bernasconi; Peter J. F. Lucas; Hanny Pijnenborg; Casper Reijnen; Marco Scutari; Fabio Stella (AIME, 2023)

ParaGnosis: A Tool for Parallel Knowledge Compilation. - Giso H. Dal; Alfons Laarman; Peter J. F. Lucas (SPIN, 2023)

Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach. - Alessio Zanga; Alice Bernasconi; Peter J. F. Lucas; Hanny Pijnenborg; Casper Reijnen; Marco Scutari; Fabio Stella (CoRR, 2023)

Visual Assistance in Development and Validation of Bayesian Networks for Clinical Decision Support. - Juliane Müller-Sielaff; Seyed Behnam Beladi; Stephanie W. Vrede; Monique Meuschke; Peter J. F. Lucas; Johanna M. A. Pijnenborg; Steffen Oeltze-Jafra (IEEE Trans. Vis. Comput. Graph., 2023)

Deep neural networks for explainable feature extraction in orchid identification. - Diah Harnoni Apriyanti; Luuk J. Spreeuwers; Peter J. F. Lucas (Appl. Intell., 2023)

Introduction to the special issue on IEEE CBMS 2022 mining healthcare: AI and machine learning for biomedicine. - Rosa Sicilia; Linlin Shen; Alejandro Rodríguez González; KC Santosh; Peter J. F. Lucas (Artif. Intell. Medicine, 2024)