American Psychological Association 6th edition

Stenhouse, K., Mc Geachy, P., Spampinato, S., Tanderup, K., Kirchheiner, K., Martell, K., Quirk, S., Viswanathan, A. N., & Roumeliotis, M. (2025). A simulated annealing‐based Bayesian network structure optimization framework for late morbidity prediction with a large prospective dataset. Medical Physics, 52(6), 5051-5063. https://doi.org/10.1002/mp.17881

ISO-690 (author-date, English)

STENHOUSE, Kailyn, MCGEACHY, Philip, SPAMPINATO, Sofia, TANDERUP, Kari, KIRCHHEINER, Kathrin, MARTELL, Kevin, QUIRK, Sarah, VISWANATHAN, Akila N. and ROUMELIOTIS, Michael, 2025. A simulated annealing‐based Bayesian network structure optimization framework for late morbidity prediction with a large prospective dataset. Medical Physics. 1 June 2025. Vol. 52, no. 6, p. 5051-5063. DOI 10.1002/mp.17881.

Modern Language Association 9th edition

Stenhouse, K., P. Mc Geachy, S. Spampinato, K. Tanderup, K. Kirchheiner, K. Martell, S. Quirk, A. N. Viswanathan, and M. Roumeliotis. “A Simulated annealing‐based Bayesian Network Structure Optimization Framework for Late Morbidity Prediction With a Large Prospective Dataset.”. Medical Physics, vol. 52, no. 6, June 2025, pp. 5051-63, https://doi.org/10.1002/mp.17881.

Mohr Siebeck - Recht (Deutsch - Österreich)

Stenhouse, Kailyn/Mc Geachy, Philip/Spampinato, Sofia/Tanderup, Kari/Kirchheiner, Kathrin/Martell, Kevin et al.: A simulated annealing‐based Bayesian network structure optimization framework for late morbidity prediction with a large prospective dataset., Medical Physics 2025, 5051-5063.

Emerald - Harvard

Stenhouse, K., Mc Geachy, P., Spampinato, S., Tanderup, K., Kirchheiner, K., Martell, K., Quirk, S., Viswanathan, A.N. and Roumeliotis, M. (2025), “A simulated annealing‐based Bayesian network structure optimization framework for late morbidity prediction with a large prospective dataset.”, Medical Physics, Vol. 52 No. 6, pp. 5051-5063.

Warning: These citations may not always be 100% accurate.