Diffusion weighted imaging of prostate cancer: Prediction of cancer using texture features from parametric maps of the monoexponential and kurtosis functions. - Ileana Montoya Perez; Jussi Toivonen; Parisa Movahedi; Harri Merisaari; Marko Pesola; Pekka Taimen; Peter J. Boström; Aida Kiviniemi; Hannu J. Aronen; Tapio Pahikkala; Ivan Jambor (IPTA, 2016)

A Link between Coding Theory and Cross-Validation with Applications. - Tapio Pahikkala; Parisa Movahedi; Ileana Montoya Perez; Havu Miikonen; Ivan Jambor; Antti Airola; László Major (CoRR, 2021)

Evaluating Classifiers Trained on Differentially Private Synthetic Health Data. - Parisa Movahedi; Valtteri Nieminen; Ileana Montoya Perez; Tapio Pahikkala; Antti Airola (CBMS, 2023)

Quicksort leave-pair-out cross-validation for ROC curve analysis. - Riikka Numminen; Ileana Montoya Perez; Ivan Jambor; Tapio Pahikkala; Antti Airola (Comput. Stat., 2023)

Benchmarking Evaluation Protocols for Classifiers Trained on Differentially Private Synthetic Data. - Parisa Movahedi; Valtteri Nieminen; Ileana Montoya Perez; Hiba Daafane; Dishant Sukhwal; Tapio Pahikkala; Antti Airola (IEEE Access, 2024)

Does Differentially Private Synthetic Data Lead to Synthetic Discoveries? - Ileana Montoya Perez; Parisa Movahedi; Valtteri Nieminen; Antti Airola; Tapio Pahikkala (CoRR, 2024)

Towards practical federated learning and evaluation for medical prediction models. - Andrei Kazlouski; Ileana Montoya Perez; Faiza Anan Noor; Mikael Högerman; Otto Ettala; Tapio Pahikkala; Antti Airola (Int. J. Medical Informatics, 2025)