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 )

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 )

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 )

Evaluating Classifiers Trained on Differentially Private Synthetic Health Data (2023)

International Symposium on Computer-Based Medical Systems, Proceedings (IEEE International Symposium on Computer-Based Medical Systems)

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

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Ileana

Montoya Perez

Ota yhteyttä

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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)

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

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)

Evaluating Classifiers Trained on Differentially Private Synthetic Health Data (2023)