Ileana Montoya Perez

Towards practical federated learning and evaluation for medical prediction models (2025)

International Journal of Medical Informatics

Kazlouski, Andrei; Montoya, Perez Ileana; Noor, Faiza; Högerman, Mikael; Ettala, Otto; Pahikkala, Tapio; Airola, Antti

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Response to Commentary by Dehaene et al. on Synthetic Discovery is not only a Problem of Differentially Private Synthetic Data (2025)

Methods of Information in Medicine

Montoya Perez, Ileana; Movahedi, Parisa; Nieminen, Valtteri; Airola, Antti; Pahikkala, Tapio

(B1 Vertaisarvioimaton kirjoitus tieteellisessä lehdessä )

Hospital Participation in Federated Learning: Evaluating Sustainability and Clinical Utility (2025)

Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Kazlouski, Andrei; Montoya Perez, Ileana; Pahikkala, Tapio; Airola, Antti

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Improved diagnostic performance of a phage display antibody-assisted intact free PSA assay as used in the four kallikrein concept applied to the IMPROD/multi-IMPROD study (2025)

Clinica Chimica Acta

Khan, Md. Ferdhos L.; Perez, Ileana M.; Kekki, Henna; Taimen, Pekka; Boström, Peter J.; Jambor, Ivan; Ettala, Otto; Pahikkala, Tapio; Pettersson, Kim

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Benchmarking Evaluation Protocols for Classifiers Trained on Differentially Private Synthetic Data (2024)

IEEE Access

Movahedi, Parisa; Nieminen, Valtteri; Perez, Ileana Montoya; Daafane, Hiba; Sukhwal, Dishant; Pahikkala, Tapio; Airola, Antti

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Data analysis with limited data availability: prostate cancer prediction and characterization as a case study (2024)

Montoya Perez Ileana

(G5 Artikkeliväitöskirja)

Does Differentially Private Synthetic Data Lead to Synthetic Discoveries? (2024)

Methods of Information in Medicine

Montoya Perez, Ileana; Movahedi, Parisa; Nieminen, Valtteri; Airola, Antti; Pahikkala, Tapio

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Lectin-nanoparticle concept for free PSA glycovariant providing superior cancer specificity (2024)

Clinica Chimica Acta

Kekki H, Montoya Perez I, Taimen P, Boström P, Gidwani K, Pettersson K

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Finnish perspective on using synthetic health data to protect privacy: the PRIVASA project (2024)

Applied Computing and Intelligence

Pitkämäki, Tinja; Pahikkala, Tapio; Montoya Perez, Ileana; Movahedi, Parisa; Nieminen, Valtteri; Southerington, Tom; Vaiste, Juho; Jafaritadi, Mojtaba; Khan, Muhammad Irfan; Kontio, Elina; Ranttila, Pertti; Pajula, Juha; Pölönen, Harri; Degerli, Aysen; Plomp, Johan; Airola, Antti

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Nationwide analysis of survival after radical cystectomy for bladder cancer in Finland (2023)

Acta Oncologica

Nikulainen Ilkka, Salminen Antti P., Seikkula Heikki, Högerman Mikael, Perez Ileana Montoya, Koskinen Ilmari, Sairanen Jukka, Nikkola Jussi, Murtola Teemu J., Vaarala Markku H., Jousmäki Senja, Nykopp Timo K., Isotalo Taina, Marttila Timo, Alibeto Abdiwahid, Seppänen Marjo, Palmberg Christian, Boström Peter J.

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Ileana

Montoya Perez

Contact

Links

Areas of expertise

Publications

Sort by:

Towards practical federated learning and evaluation for medical prediction models (2025)

Response to Commentary by Dehaene et al. on Synthetic Discovery is not only a Problem of Differentially Private Synthetic Data (2025)

Hospital Participation in Federated Learning: Evaluating Sustainability and Clinical Utility (2025)

Improved diagnostic performance of a phage display antibody-assisted intact free PSA assay as used in the four kallikrein concept applied to the IMPROD/multi-IMPROD study (2025)

Benchmarking Evaluation Protocols for Classifiers Trained on Differentially Private Synthetic Data (2024)

Data analysis with limited data availability: prostate cancer prediction and characterization as a case study (2024)

Does Differentially Private Synthetic Data Lead to Synthetic Discoveries? (2024)

Lectin-nanoparticle concept for free PSA glycovariant providing superior cancer specificity (2024)

Finnish perspective on using synthetic health data to protect privacy: the PRIVASA project (2024)

Nationwide analysis of survival after radical cystectomy for bladder cancer in Finland (2023)