Exploring Model-Based Repositories for a Broad Range of Industrial Applications and Challenges. - Tao Yue 002; Shaukat Ali 001; Arnaud Descour; Qitao Gan; Marius Liaaen; Geir Magne Merkesvik; Boas Krøgh Nielsen; Jan Nygård; Bjørn Ove Olafsen; Anne Lise Waal (QSIC, 2014)

MBF4CR: A Model-Based Framework for Supporting an Automated Cancer Registry System. - Shuai Wang 001; Hong Lu 005; Tao Yue 002; Shaukat Ali 001; Jan Nygård (ECMFA, 2016)

RCIA: Automated Change Impact Analysis to Facilitate a Practical Cancer Registry System. - Shuai Wang 001; Thomas Schwitalla; Tao Yue 002; Shaukat Ali 001; Jan F. Nygård (ICSME, 2017)

Efficient Encoding of Pathology Reports Using Natural Language Processing. - Rebecka Weegar; Jan F. Nygård; Hercules Dalianis (RANLP, 2017)

Anticipating anonymity in screening program databases. - Rafael Caballero 001; Sagar Sen; Jan Nygård (Int. J. Medical Informatics, 2017)

IOCL: An interactive tool for specifying, validating and evaluating OCL constraints. - Hammad Muhammad; Tao Yue 002; Shuai Wang 001; Shaukat Ali 001; Jan Nygård (Sci. Comput. Program., 2017)

Stratifying Cervical Cancer Risk with Registry Data. - Nicholas Baltzer; Mari Nygård; Karin Sundstrom; Joakim Dillner; Jan Nygård; Jan Komorowski (eScience, 2018)

Using clinical cancer registry data for estimation of quality indicators: Results from the Norwegian breast cancer registry. - Olaf Johan Hartmann-Johnsen; Rolf Kåresen; Ellen Schlichting; Bjørn Naume; Jan F. Nygård (Int. J. Medical Informatics, 2019)

Bayesian multitask learning regression for heterogeneous patient cohorts. - André R. Gonçalves 001; Priyadip Ray; Braden Soper; David P. Widemann; Mari Nygård; Jan F. Nygård; Ana Paula Sales (J. Biomed. Informatics X, 2019)

Automated Refactoring of OCL Constraints with Search. - Hong Lu 005; Shuai Wang 001; Tao Yue 002; Shaukat Ali 001; Jan F. Nygård (IEEE Trans. Software Eng., 2019)

DeCanSec: A Decentralized Architecture for Secure Statistical Computations on Distributed Health Registry Data. - Narasimha Raghavan Veeraragavan; Jan Franz Nygård (ARES, 2021)

Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction. - Vinay Chakravarthi Gogineni; Severin R. E. Langberg; Valeriya Naumova; Jan F. Nygård; Mari Nygård; Markus Grasmair; Stefan Werner 001 (ACSCC, 2021)

Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective. - Vinay Chakravarthi Gogineni; Severin R. E. Langberg; Valeriya Naumova; Jan F. Nygård; Mari Nygård; Markus Grasmair; Stefan Werner 001 (SSP, 2021)

Phenotyping of Cervical Cancer Risk Groups via Generalized Low-Rank Models Using Medical Questionnaires. - Florian Becker; Mari Nygård; Jan Nygård; Age K. Smilde; Evrim Acar (NAIS, 2022)

Matrix factorization for the reconstruction of cervical cancer screening histories and prediction of future screening results. - Geir Severin R. E. Langberg; Mikal Stapnes; Jan F. Nygård; Mari Nygård; Markus Grasmair; Valeriya Naumova (BMC Bioinform., 2022)

Generating Synthetic Data in a Secure Federated General Adversarial Networks for a Consortium of Health Registries. - Narasimha Raghavan Veeraragavan; Jan Franz Nygård (CoRR, 2022)

Securing Federated GANs: Enabling Synthetic Data Generation for Health Registry Consortiums. - Narasimha Raghavan Veeraragavan; Jan Franz Nygård (ARES, 2023)

Tracking Decisions about Granting Access to Health Data: Application Analysis and Requirements. - Mohammad Salar Arbabi; Arlindo Flávio da Conceição; Thiago Garrett; Jan F. Nygård; Roman Vitenberg (DAPPS, 2023)

Federated Learning Showdown: The Comparative Analysis of Federated Learning Frameworks. - Sai Praneeth Karimireddy; Narasimha Raghavan Veeraragavan; Severin Elvatun; Jan F. Nygård (FMEC, 2023)

Challenges of Testing an Evolving Cancer Registration Support System in Practice. - Christoph Laaber; Tao Yue 002; Shaukat Ali 001; Thomas Schwitalla; Jan F. Nygård (ICSE Companion, 2023)

Cost Reduction on Testing Evolving Cancer Registry System. - Erblin Isaku; Hassan Sartaj; Christoph Laaber; Tao Yue 002; Shaukat Ali 001; Thomas Schwitalla; Jan F. Nygård (ICSME, 2023)

Automated Test Generation for Medical Rules Web Services: A Case Study at the Cancer Registry of Norway. - Christoph Laaber; Tao Yue 002; Shaukat Ali 001; Thomas Schwitalla; Jan Nygård (ESEC/SIGSOFT FSE, 2023)

EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System. - Chengjie Lu; Qinghua Xu; Tao Yue 002; Shaukat Ali 001; Thomas Schwitalla; Jan Nygård (ESEC/SIGSOFT FSE, 2023)

A Survey on Blockchain for Healthcare: Challenges, Benefits, and Future Directions. - Mohammad Salar Arbabi; Chhagan Lal; Narasimha Raghavan Veeraragavan; Dusica Marijan; Jan F. Nygård; Roman Vitenberg (IEEE Commun. Surv. Tutorials, 2023)

Ranking Synthetic Data Generators Using a Permissioned Blockchain-based Framework. - Narasimha Raghavan Veeraragavan; Mohammad Hossein Tabatabaei; Severin Elvatun; Vibeke Binz Vallevik; Siri Larønningen; Jan F. Nygård (BCCA, 2024)

Permissioned Blockchain-based Framework for Ranking Synthetic Data Generators. - Narasimha Raghavan Veeraragavan; Mohammad Hossein Tabatabaei; Severin Elvatun; Vibeke Binz Vallevik; Siri Larønningen; Jan F. Nygård (CoRR, 2024)

Assessing Quantum Extreme Learning Machines for Software Testing in Practice. - Asmar Muqeet; Hassan Sartaj; Aitor Arrieta; Shaukat Ali 001; Paolo Arcaini; Maite Arratibel; Julie Marie Gjøby; Narasimha Raghavan Veeraragavan; Jan F. Nygård (CoRR, 2024)

Quantum Neural Network Classifier for Cancer Registry System Testing: A Feasibility Study. - Xinyi Wang 004; Shaukat Ali 001; Paolo Arcaini; Narasimha Raghavan Veeraragavan; Jan F. Nygård (CoRR, 2024)

A Differentially Private Kaplan-Meier Estimator for Privacy-Preserving Survival Analysis. - Narasimha Raghavan Veeraragavan; Sai Praneeth Karimireddy; Jan Franz Nygård (CoRR, 2024)

Testing Medical Rules Web Services in Practice. - Christoph Laaber; Shaukat Ali 001; Thomas Schwitalla; Jan F. Nygård (CoRR, 2024)

A Multiparty Homomorphic Encryption Approach to Confidential Federated Kaplan Meier Survival Analysis. - Narasimha Raghavan Veeraragavan; Svetlana Boudko; Jan Franz Nygård (CoRR, 2024)

Can I trust my fake data - A comprehensive quality assessment framework for synthetic tabular data in healthcare. - Vibeke Binz Vallevik; Aleksandar Babic; Serena Elizabeth Marshall; Severin Elvatun; Helga Brøgger; Sharmini Alagaratnam; Bjørn Edwin; Narasimha Raghavan Veeraragavan; Anne Kjersti Befring; Jan F. Nygård (Int. J. Medical Informatics, 2024)

Cross-population evaluation of cervical cancer risk prediction algorithms. - Severin Elvatun; Daan Knoors; Mari Nygård; Anneli Uusküla; Andres Võrk; Jan F. Nygård (Int. J. Medical Informatics, 2024)

LLMs in the Heart of Differential Testing: A Case Study on a Medical Rule Engine. - Erblin Isaku; Christoph Laaber; Hassan Sartaj; Shaukat Ali 001; Thomas Schwitalla; Jan F. Nygård (ICST, 2025)

Can One Safety Loop Guard Them All? Agentic Guard Rails for Federated Computing. - Narasimha Raghavan Veeraragavan; Jan Franz Nygård (CoRR, 2025)