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Jan Nygård
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2020 – today
- 2024
- [j9]Severin Elvatun
, Daan Knoors, Mari Nygård
Cross-population evaluation of cervical cancer risk prediction algorithms. Int. J. Medical Informatics 181: 105297 (2024) - [j8]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:
Can I trust my fake data - A comprehensive quality assessment framework for synthetic tabular data in healthcare. Int. J. Medical Informatics 185: 105413 (2024) - [i9]Vibeke Binz Vallevik, Aleksandar Babic, Serena Elizabeth Marshall, Severin Elvatun, Helga Brøgger, Sharmini Alagaratnam, Bjørn Edwin, Narasimha Raghavan Veeraragavan, Anne Kjersti Befring, Jan Franz Nygård:
Can I trust my fake data - A comprehensive quality assessment framework for synthetic tabular data in healthcare. CoRR abs/2401.13716 (2024) - [i8]Erblin Isaku, Christoph Laaber, Hassan Sartaj, Shaukat Ali, Thomas Schwitalla, Jan F. Nygård:
LLMs in the Heart of Differential Testing: A Case Study on a Medical Rule Engine. CoRR abs/2404.03664 (2024) - [i7]Narasimha Raghavan Veeraragavan, Mohammad Hossein Tabatabaei, Severin Elvatun, Vibeke Binz Vallevik, Siri Larønningen, Jan F. Nygård:
Permissioned Blockchain-based Framework for Ranking Synthetic Data Generators. CoRR abs/2405.07196 (2024) - [i6]Asmar Muqeet, Hassan Sartaj, Aitor Arrieta, Shaukat Ali, Paolo Arcaini, Maite Arratibel, Julie Marie Gjøby, Narasimha Raghavan Veeraragavan, Jan F. Nygård:
Assessing Quantum Extreme Learning Machines for Software Testing in Practice. CoRR abs/2410.15494 (2024) - 2023
- [j7]Mohammad Salar Arbabi
A Survey on Blockchain for Healthcare: Challenges, Benefits, and Future Directions. IEEE Commun. Surv. Tutorials 25(1): 386-424 (2023) - [c17]Narasimha Raghavan Veeraragavan
Securing Federated GANs: Enabling Synthetic Data Generation for Health Registry Consortiums. ARES 2023: 89:1-89:9 - [c16]Mohammad Salar Arbabi, Arlindo Flávio da Conceição, Thiago Garrett, Jan F. Nygård, Roman Vitenberg:
Tracking Decisions about Granting Access to Health Data: Application Analysis and Requirements. DAPPS 2023: 1-6 - [c15]Sai Praneeth Karimireddy, Narasimha Raghavan Veeraragavan, Severin Elvatun, Jan F. Nygård:
Federated Learning Showdown: The Comparative Analysis of Federated Learning Frameworks. FMEC 2023: 224-231 - [c14]Christoph Laaber
Challenges of Testing an Evolving Cancer Registration Support System in Practice. ICSE Companion 2023: 355-359 - [c13]Erblin Isaku, Hassan Sartaj
Cost Reduction on Testing Evolving Cancer Registry System. ICSME 2023: 508-518 - [c12]Christoph Laaber
Automated Test Generation for Medical Rules Web Services: A Case Study at the Cancer Registry of Norway. ESEC/SIGSOFT FSE 2023: 1937-1948 - [c11]Chengjie Lu
EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System. ESEC/SIGSOFT FSE 2023: 1973-1984 - [i5]Christoph Laaber, Tao Yue, Shaukat Ali, Thomas Schwitalla, Jan F. Nygård:
Automated Test Generation for Medical Rules Web Services: A Case Study at the Cancer Registry of Norway. CoRR abs/2308.12805 (2023) - [i4]Christoph Laaber, Tao Yue, Shaukat Ali, Thomas Schwitalla, Jan F. Nygård:
Challenges of Testing an Evolving Cancer Registration Support System in Practice. CoRR abs/2308.13306 (2023) - [i3]Chengjie Lu, Qinghua Xu, Tao Yue, Shaukat Ali, Thomas Schwitalla, Jan F. Nygård:
EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System. CoRR abs/2309.03246 (2023) - [i2]Erblin Isaku, Hassan Sartaj
Cost Reduction on Testing Evolving Cancer Registry System. CoRR abs/2309.17038 (2023) - 2022
- [j6]Geir Severin R. E. Langberg
Matrix factorization for the reconstruction of cervical cancer screening histories and prediction of future screening results. BMC Bioinform. 23-S(12): 484 (2022) - [c10]Florian Becker, Mari Nygård, Jan Nygård, Age K. Smilde, Evrim Acar:
Phenotyping of Cervical Cancer Risk Groups via Generalized Low-Rank Models Using Medical Questionnaires. NAIS 2022: 94-110 - [i1]Narasimha Raghavan Veeraragavan, Jan Franz Nygård:
Generating Synthetic Data in a Secure Federated General Adversarial Networks for a Consortium of Health Registries. CoRR abs/2212.01629 (2022) - 2021
- [c9]Narasimha Raghavan Veeraragavan, Jan Franz Nygård:
DeCanSec: A Decentralized Architecture for Secure Statistical Computations on Distributed Health Registry Data. ARES 2021: 140:1-140:9 - [c8]Vinay Chakravarthi Gogineni
Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction. ACSCC 2021: 1541-1545 - [c7]Vinay Chakravarthi Gogineni
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective. SSP 2021: 46-50
2010 – 2019
- 2019
- [j5]Olaf Johan Hartmann-Johnsen
Using clinical cancer registry data for estimation of quality indicators: Results from the Norwegian breast cancer registry. Int. J. Medical Informatics 125: 102-109 (2019) - [j4]André R. Gonçalves, Priyadip Ray, Braden Soper, David P. Widemann, Mari Nygård, Jan F. Nygård, Ana Paula Sales:
Bayesian multitask learning regression for heterogeneous patient cohorts. J. Biomed. Informatics X 4: 100059 (2019) - [j3]Hong Lu, Shuai Wang
Automated Refactoring of OCL Constraints with Search. IEEE Trans. Software Eng. 45(2): 148-170 (2019) - 2018
- [c6]Nicholas Baltzer, Mari Nygård, Karin Sundstrom, Joakim Dillner, Jan Nygård, Jan Komorowski
Stratifying Cervical Cancer Risk with Registry Data. eScience 2018: 288-289 - [c5]Hong Lu, Shuai Wang, Tao Yue, Shaukat Ali, Jan F. Nygård:
Automated refactoring of OCL constraints with search. ICSE 2018: 1243 - 2017
- [j2]Rafael Caballero
Anticipating anonymity in screening program databases. Int. J. Medical Informatics 103: 20-31 (2017) - [j1]Hammad Muhammad, Tao Yue
IOCL: An interactive tool for specifying, validating and evaluating OCL constraints. Sci. Comput. Program. 149: 3-8 (2017) - [c4]Shuai Wang, Thomas Schwitalla, Tao Yue, Shaukat Ali, Jan F. Nygård:
RCIA: Automated Change Impact Analysis to Facilitate a Practical Cancer Registry System. ICSME 2017: 603-612 - [c3]Rebecka Weegar, Jan F. Nygård, Hercules Dalianis:
Efficient Encoding of Pathology Reports Using Natural Language Processing. RANLP 2017: 778-783 - 2016
- [c2]Shuai Wang, Hong Lu, Tao Yue, Shaukat Ali, Jan Nygård:
MBF4CR: A Model-Based Framework for Supporting an Automated Cancer Registry System. ECMFA 2016: 191-204 - 2014
- [c1]Tao Yue, Shaukat Ali
Exploring Model-Based Repositories for a Broad Range of Industrial Applications and Challenges. QSIC 2014: 37-46
Coauthor Index
aka: Narasimha Raghavan Veeraragavan
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last updated on 2024-11-28 21:25 CET by the dblp team
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